Certification Course in Data Analytics
Certified Data Analytics & AI Course with Placement Readiness!
445 Hours
43 Classes
6-8 Months
450-594 Hours
Industry-Recognized Certification
Earn a prestigious certificate from Nasscom-FutureSkills Prime and AnalytixLabs, recognized by top global recruiters
Flexible Learning Modes
Choose from online, blended, classroom bootcamps, or weekend classes to fit your schedule without any pause.
Technical & Non-Technical Learners
Industry-first approach tailored for beginner-to-mid-career candidates from any background.
16 June
Gurgaon
18 June
Noida
09 July
Bangalore
Learning Modes
Classroom Sessions
INR 61,360/-*
(Pay in Easy Installments)
Interactive Live Online
INR 53,100/-*
(Pay in Easy Installments)
Blended eLearning
INR 47,200/-*
(Pay in Easy Installments)
Overview
No of classes X Hours
16 x 3 = 50 Hours
Self Study Hours
90 Hours
6 Assignments & Projects
Placement Readiness Program
Learn Data Analytics
This data analytics certification course teaches you the art of analyzing raw data and driving conclusions to enable business performance. It integrates modern AI-driven methodologies that go beyond traditional reporting. You learn to make strategic decisions and automate predictive insights. Combined with our Generative AI and No-code AI Tools, and Python & Agentic AI modules, this data analytics course prepares you for AI-enhanced modeling to predict future business outcomes.
About This Data Analyst Course
Our programme offers a dual-track approach to professional mastery. Build a rock-solid foundation in traditional analytics, or lead the next wave with AI. The curriculum is engineered to match your career goals.
Choosing among various certification courses in data analytics can be overwhelming. AnalytixLabs stands out by offering data analytics courses for beginners that include both traditional and AI-integrated learning tracks, real-world projects, and a NASSCOM-FutureSkills Prime certified curriculum. As one of the best data analytics courses online, our programme ensures you don’t just learn tools. You master the art of data-driven decision-making.
This certification course in data analytics gives you ultimate flexibility. Complete it as a comprehensive 6-month analytics programme, or elevate your expertise with our AI-Integrated Track, a data analytics with AI course that fuses core analytics with Generative AI and Agentic AI systems. Compare both tracks below to find the right fit.
Here’s how your learning paths look depending on whether you choose the Core Analytics track or the AI-integrated modules:
Track 1: Core Data Analytics
Master the art of transforming raw data into strategic business intelligence. This track focuses on:
- Professional-grade proficiency in Excel, SQL, Power BI, and Applied Statistics.
- Predictive modelling using Linear and Logistic Regression for data-driven business decisions.
Track 2: Data Analytics + AI (Generative AI & Agentic Systems)
For those looking to lead in the era of automation, this track also incorporates cutting-edge AI modules:
- Generative AI Integration: Use GenAI to accelerate SQL coding, automate Python scripts, and build dynamic Power BI narratives.
- Agentic AI Systems: Build and manage No-Code AI Agents that autonomously plan, reason, and execute multi-step workflows.
- Python for AI: A specialised Python foundation designed to control and scale Agentic AI systems.
Learning Outcome
When you learn data analytics with AnalytixLabs, you are equipped with the broader concepts of the data lifecycle so that you’re job-ready for the modern AI-driven market. As part of this programme, you get:
- NASSCOM-FutureSkills Prime and AnalytixLabs dual certification.
- Flexible pacing: Online, Blended, Classroom, or Weekend batches.
- Classroom sessions in Gurgaon, Bangalore, and Noida.
Request a Call back
Overview
No of classes X Hours
16 x 3 = 50 Hours
Self Study Hours
90 Hours
6 Assignments & Projects
Placement Readiness Program
Bootcamp Certificate Course v/s PG in Data Analytics
Our postgraduate courses are designed with industry-relevant updates and are taught by experts passionately involved in the analytics and data science domain.
PG courses in Data Analytics are available in two modules – A PG Diploma course, a one-year dedicated diploma with Generative AI tools, and a certification program course of a 5-month duration.
Upskill your analytics profile with our Certified Data Analyst Bootcamp course. This course combines the powerful pedagogy of world-class experts and hands-on practical training to fast-track your career graph as a Data Analyst. From beginners’ concepts to advanced subjects, our Certified Data Analyst Bootcamp course covers everything you will need to make a mark as an analyst. Based on the track you choose, this course will earn you a job-oriented Certification in Data Analytics.
Program Details | Bootcamp Certificate in Data Analytics | PG Diploma in Data Analytics |
Duration | 6 months | 10 months |
Learning Hours | 500 hours | 1500 hours |
Program Fee (₹) | 47,200/-* | 2,75,000 + GST |
Course Overview
DATA ANALYTICS COURSE
Data Analytics certification course will teach you the art of analyzing raw data and driving conclusions to enable business performance, making predictions, and making strategic decisions.
Data Analytics and data analysis may sound similar but have very fine differences. In this Data Analyst course, you will learn such intricate concept differentiations.
Data Analysis is part of data analytics but solely deals with extracting the meaning of data. On the other hand, Data Analytics is a holistic concept that goes beyond analysis it includes data science to theorize and predict and data engineering to build data systems.
This data analyst course is designed to equip you with all the broader concepts and subsets of data analytics, how it is used, what skills you must master, and how to be job-ready.
Want to explore more options in Classroom Learning? We also offer Bootcamp and Classroom Data Analytics Courses in Gurgaon, Bangalore, and Noida. Choose your nearest location and boost up your job prospects with this extensive program offering prestigious certification from Nasscom-FutureSkills Prime and AnalytixLabs.
Learning Objectives
The data analytics course is designed to help you start a career in data analytics. If you are an experienced professional looking to brush up your skills, this course will be a perfect fit for you.
For those looking for an integrated option to earn both certification and diploma credentials – you can opt for our post-graduate machine learning course that covers more advanced analytics in addition to this course. Together, you can earn a diploma certificate from AnalytixLabs.
You can start with our certified data analytics course and then opt for more advanced courses based on your interest.
Why Data Analytics?
Data analytics enables businesses to derive valuable information from huge data sets and make impactful business decisions.
It involves exploring and analyzing humungous data sets and identifying patterns or unseen trends. Data analytics helps in drawing correlations and deriving insights for business predictions. A skilled data analyst will know how to use data analytics concepts to fastrack business decision-making and improve overall business efficiency.
How to use data analytics?
Our data analytics certification course will teach you four essential methods to use data analytics concepts in the real world.
Smart decision making
You will learn to put data at the center of business decision-making. Data analytics will help you understand your target customers better – helping you to derive better results based on customer behavior. From understanding buyers’ intent to monitoring buyers’ preferences, data analytics will help you make more informed customer-oriented decisions.
Reduce and manage business risks
Data analytics will help you to combat business risks with effective strategies. From issues with loan default or credit card fraud – data analytics can help identify the core risk areas and the underlying causes. Simultaneously, you will learn about the types of Risk (including credit, corporate, market, and operations risk), Credit Risk, data requirements, risk reporting, various types of credit risk models, etc.
Enhance business security
Businesses rely on data analytics to examine past security breaches and identify the vulnerable areas that caused the breach. This helps security experts to ramp up security measures and prevent such breaches in the future. In this data analysis course, you will learn how Analytical models can identify any abnormal behavior or pattern that can send instant alerts to security experts.
Predict trends
The market changes in a snap, and businesses have to adapt to these changes really quickly. It is always helpful to understand where the market is heading, what kind of user behavior changes a business can expect, and, accordingly, be ready for it. You will learn how data analytics can help understand the evolving market and identify upcoming trends impacting the business.
Our data analytics course will equip you with all this know-how and comprehensive training on using data analytics tools.
Who should do this course?
Our Advanced Certification in Data Analytics program is designed for absolute beginners with no prior programming background. The course curriculum is in collaboration with Future Skills Prime (FSP) a joint initiative of the Ministry of Electronics and Information Technology (MeitY), Government of India, and NASSCOM. With our comprehensive Data Science, Analytics and AI courses, you learn to analyze data and enable organizations in making data-driven decisions.
Data Analyst Course Fees
Compared to any PostGrad Programs of particular repute, our programs are unbelievably priced to make them highly affordable. The fee for PostGrad Diploma is only INR 2,10,000 + Taxes.
The Certified Data Analyst Bootcamp offers flexible certification, with fees as follows:
NASSCOM – FutureSkills Prime INR 47,200/-*onwards
Data Analytics Course Duration
We understand how challenging it is to manage time in today’s fast-paced world; hence we try to provide maximum convenience with flexible learning modes, i.e., Bootcamp and Blended eLearning. The duration for the Certified Data Analyst bootcamp program is around 6 months, and for PostGrad Diploma, it is around 10 months.
Course Curriculum
| Certificate in Data Analytics for Business | Class Hours | Assessment | Self Study | Term-Hours |
| Term 1 | ||||
Orientation – Setting up for success | 4 | 4 | ||
Problem Solving – A structured approach to problem solving | 6 | 10 | 16 | |
Building Blocks – Foundations of Mathematics & Statistics, Fundamentals of Programming (Blended eLearning) | 25 | 25 | 50 | |
Business Intelligence, Analytics & Data Visualization (using EXCEL & POWER BI) | 30 | 10 | 110 | 150 |
Exploratory Data Analysis & Data Management (RDBMS – ETL – SQL for Data Science – SQL on Cloud) | 30 | 10 | 110 | 150 |
| Term 2 | ||||
| Python for Analytics – Statistical Analysis and Modelling using Python : | 54 | 6 | 90 | 150 |
| Python Foundation (Core Python) – Python Packages | 20 | 20 | ||
| Exploratory Data Analysis – Data Visualizaiton | 30 | 30 | ||
| Statistical Analysis (Basic Statistics – Statistical Methods) | 20 | 20 | ||
| Predictive Modeling using Linear & Logistic Regression | 20 | 20 | ||
| Data Analytics Applications – Industries & Functions (24 hrs eLearning) | 30 | 10 | 110 | 150 |
Marketing Analytics | 6 | 20 | ||
Operations Analytics | 6 | 20 | ||
Risk Analytics | 6 | |||
Industry Application of Analytics in Retail, eCommerce, Banking, Insurance, Telecom, etc. | 12 | 50 | ||
Practice Bootcamps (Weekday sessions) | 54 | |||
| Term 3 | ||||
Data Analytics in Practice – Industry Capstone Project work – Final Viva (12 hrs eLearning) | 20 | 30 | 100 | 150 |
Data Analytics Project – End-to-End Pipeline | ||||
Business Requirement Gathering – Problem-Solving | ||||
Documentation – best practices | ||||
Analytics Project Management | ||||
Placement Preparation – Interview Preparation – Mock Interviews | 10 | 20 | 30 | |
Placement Readiness Programme | ||||
Success Accelerator | ||||
Career Assistance (Resume, Mock Sessions, Interview prep, etc.) | ||||
| Total Hours | 263 | 66 | 575 | 850 |
In the onboarding or introductory session, you will get acquainted with your mentors, learning modules, and how the course will progress. Throughout this term, you will cover all the basic concepts like –
- How to approach a business problem and solve it.
- Basics of mathematics, statistics, and programming
- Learn data visualization using tools like Excel and PowerBI
- Comprehensive sessions on SQL data analysis and management
Sessions: 4 days/week
The second term will introduce you to Python for data analysis and analytical applications across industries and functions. You will learn to use Python for basic statistical analysis, drive marketing analytics, reduce risks, and increase efficiency across multiple industries like eCommerce and retail.
- Python for Data Analysis – Statistical Analysis and Modelling using Python
- Data analytics application – Industries & Function [24-hour e-learning]
PYTHON FOR DATA ANALYSIS: STATISTICAL ANALYSIS AND MODELING USING PYTHON
- Python Foundation (Core Python) – Python Packages
Python is a free and open-source language that is easy to learn. It is essential for data analysis and does not require any advanced programming knowledge. Core Python is a branch of Python that includes basic commands and data structure.
You will learn about Python packages, operators in Python, the basics of object-oriented programming, user-defined functions, data types in Python, and so much more
- Exploratory Data Analysis [EDA] – Data Visualization
You will learn to understand data better, which aids in further data processing. Following this, you will also understand how visualization can make the exploratory data analysis process through interactive plots and charts. Exploratory data analysis [EDA] helps data analysts to dig deeper into data sets and underlying data structures.
- Statistical Analysis (Basic Statistics – Statistical Methods)
Statistical analysis consists of two methodologies 0 descriptive and inferential statistics. This module will teach you how to summarize data using indexes like mean and median (descriptive statistics) and draw conclusions from data via statistical tests like t-tests (inferential statistics). These are two primary methods. You will also learn other types of statistical analysis, like associational statistical analysis, predictive analysis, prescriptive analysis, causal analysis, and more.
- Predictive Modeling using Linear & Logistic Regression
The last module of this term will teach you to predict future behavior using statistical methods. Predictive modeling works by analyzing historical and present data and generating a model to predict future outcomes. This module covers two types of algorithms – linear regression and logistic regression. Linear regression provides continuous outputs and handles regression problems. Logistic regression gives discreet outputs and can handle classification problems. You will learn everything about these algorithms and model generation using Python.
DATA ANALYTICS APPLICATIONS – INDUSTRIES & FUNCTIONS
- Marketing Analytics
Data analytics can help businesses understand customer actions, their reason, and how to optimize the overall ROI for any marketing activity. You will learn the techniques and methodologies to analyze marketing data, spot trends and patterns, and take an analytical approach to understand user behavior, refine marketing campaigns, and ensure customers return to your brand.
- Operational analytics
Operational analytics will teach you to improve the operational nature of a business. It is part of business analytics that focuses on syncing data from the warehouse into your business tools so that everyone in your organization can access the same kind of data, irrespective of their technical know-how. You learn to focus on monitoring current and real-time operations that can boost productivity and organize daily operations for a business.
- Risk analytics
Risk analytics will enable you to quantify and predict risks with maximum accuracy. You will learn to use various technologies to dig deeper into business data, formulate likely risk-driven scenarios, and accurately predict future risks. Data analytics help businesses avoid large-scale debacles via proper identification, analysis, and risk evaluation.
- Industry Application of Analytics in Retail, eCommerce, Banking, Insurance, Telecom, etc.
As the name suggests, you will have real-time learning of how data analytics is implemented across various business domains, industries, and functions. This will give you hands-on learning on what kind of business problems arise, how to approach them, and what models you can create to mitigate large-scale risks – all-the while learning to modify your knowledge based on the industry or function you are working in.
- Practice Bootcamps
This is where you get ample scope to put your learning into practice under the expert guidance of your mentors.
Sessions: 4 days/week [2-weekend sessions + 2-weekday practice sessions]
The last term of this course comprises practice sessions, project work, final assessment, and placement preparations bringing the entire data analyst training session to a full wrap.
Data Analytics in Practice – Industry Capstone Project work – Final Viva (12 hrs eLearning)
Placement Preparation – Interview Preparation – Mock Interviews
DATA ANALYTICS IN PRACTICE – INDUSTRY CAPSTONE PROJECT + FINAL VIVA
- Data Analytics Project – End-to-End Pipeline
- Business Requirement Gathering – Problem-Solving
- Documentation – best practices
- Business Requirement Gathering – Problem-Solving
PLACEMENT PREPARATIONS: INTERVIEW PREPARATIONS + MOCK INTERVIEWS
- Placement Readiness Programme
This program will guide you to get ready for placement. Your mentor will guide you to complete all your assignments successfully and decide the career graph you want.
- Success Accelerator
The next step in this program is to help you understand the role you want to take up and what will help you quickly develop interview skills.
- Career Assistance (Resume, Mock Sessions, Interview prep, etc.)
Last, you get unhindered assistance in designing your resume, engaging in mock interviews, and consulting with your mentors to prepare for your interviews, crack them, and start your career as a data analyst.
INDUSTRIES, SKILLS AND TOOLS COVERED
The data analytics for business certification course covers the following tools and library packages –
Add to this; you acquire soft skills like business acumen, business analysis, and translating data findings into layman’s terms for everyone to understand your predictions.
Request a Call back
Learn Data Analytics
This data analytics certification course teaches you the art of analyzing raw data and driving conclusions to enable business performance. It integrates modern AI-driven methodologies that go beyond traditional reporting. You learn to make strategic decisions and automate predictive insights. Combined with our Generative AI and No-code AI Tools, and Python & Agentic AI modules, this data analytics course prepares you for AI-enhanced modeling to predict future business outcomes.
TECHNICAL SKILLS
This course will cover several important technical languages and tools-:
Core Python
It is an open-source and free programming language for data analysis processes.
Microsoft Excel
One of the most used tools for data organization, management, and representation is Microsoft Excel. Excel is an extremely powerful tool with built-in pivot tables for data visualization. You can easily import, explore, clean, analyze, and visualize large data sets.
Power BI
It is a cloud-based analytical tool that gives a quick insight into data and helps in data extraction and visualization. It combines multiple sources to view an organization’s assets comprehensively.
JIRA
Jira is an important tool in business analytics. You can use Jira to evaluate team performance. Jira’s visualization aspect helps make detailed and visually enriched data reports. Jira comes most handy in operational analytics. Add to this, Jira can also serve as a database.
Microsoft Powerpoint
Microsoft Powerpoint helps in data visualization, especially when framing your data insights for non-technical team members and stakeholders. You use POwerpoint just to represent the data you are talking about. Microsoft Powerpoint and the other tools in the MS Office suite serve as an analytical suite.
Azure [Cloud computing]
Azure analysis services offers cloud-based enterprise-grade data models. You can use the advanced mashup and modeling features to assemble data from multiple sources, refine them, define the metrics, and secure your data in a tabular semantic data model.
Tableau (Optional)
An end-to-end data analytics platform designed to prepare data for analysis. You can collaborate and share your data insights with this tool. The visual analysis in Tableau is highly powerful and is easily shared across organizations.
DECISION-MAKING SKILLS
This is one of the core soft skills covered in all data analytics certification courses. You cannot make a mark as a data analyst without decision-making skills. You must know to represent your findings and outcomes to various executives.
With a deeper analysis, you will be able to make logical and factual decisions that will be beneficial for your organization. As a data analyst, you must have a 360-degree view of a situation and strategically approach it before suggesting an optimum solution.
INDUSTRIES COVERED:
The Data Analytics Certification and PGDA course cover the following industries as part of understanding real-time data analytics applications.
1. Retail/eCommerce
2. BFSI (Finance and Insurance)
3. Healthcare
4. Telecom
5. Hospitality
6. Manufacturing
Job Responsibilities
As a data analyst, your job role will include responsibilities like:
- Collect data from various sources, and arrange data sequentially.
- Clean and process data. You must know to treat a missing value, clean invalid or wrong information, spot errors, and remove unwanted information.
- Know-how of different statistical tools like Python or SaS to interpret data.
- Manage and optimize data according to present and upcoming market or seasonal trends and make accurate prediction models.
- Prepare detailed reports that are easy to understand and visually enriched.
- Identify security breaches, potential threats and enable organizations to combat them.
Job scope
Demand for data analytics services and training in data analysis is soaring high. As per reports, there will be about 250,000 openings for data analysts in 2023 alone. IBM recently predicted that data science and analytics jobs would cross 350,000 by 2025.
There are ample scopes for certified data analysts. Learn and acquire the technical and soft skills to start a lucrative career in data analytics.
Salary
On average, the salary for a data analyst in India ranges from INR 3L to 14L, depending on your experience and industry.
Job Roles
- BI Analyst
- MIS Analyst
- Data Analyst
- Data Visualization Analyst
- Business Analyst
Key Skills
- MIS Reporting Analytics
- Data Visualization
- Data Mining & Analysis
- Data Blending & Manipulation
- Check your eligibility
Capstone Projects
In addition to multiple case studies used for class sessions, course includes following assignments and projects for self-study and hands-on skills.
Assignments
- 4 Basic exercises ( Excel, VBA, SQL & Power BI)
Projects
- Airlines data analysis and reporting
- Marketing & Sales data manipulation and analysis
- Sports equipment retail data analysis and visualization
- Consumer electronics pricing data analysis & visualization
- Sports event analysis and reporting
Programming Tools and Languages
Course Fees
Classroom Sessions
₹ 61,360/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Interactive Live Online
₹ 53,100/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Blended eLearning
₹ 47,200/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Training Modes
Classroom & Bootcamp
Skill mastery with immersive, hands-on learning guided by mentors. Opt for either our intensive weekday bootcamps or flexible weekend classes to suit your schedule. Experience firsthand the power of in-person mentorship, available in weekday classroom bootcamps, ensuring a rich, experiential learning environment.
Fully Interactive Live Online
Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.
Classroom Blended with eLearning
Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.
Certification
Owing to our well established domain expertise and prestigious clientele in India and overseas, AnalytixLabs certification is highly regarded in the industry. Being India’s top ranked Data Science institute it is imperative that we uphold the sanctity of our certification process.
Certification is awarded after the fair evaluation of mandatory case studies, assignments, MCQs, and viva included in the course.
Certification must be completed within one year of course registration.
In case the assignments and projects are not up-to-the-mark, trainees are welcome to take help and support for improvisation. But no kind plagiarism will be tolerated during evaluation.
Our objective is to ensure that trainees get vital hands-on experience so that they are well-prepared for job interviews along with a performance at their jobs.
Course Fees
Select the course you want to Enroll:
Classroom & Bootcamp
₹ 30000 + taxes
EMI starts @ 6496
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
Skill mastery with immersive, hands-on learning guided by mentors. Opt for either our intensive weekday bootcamps or flexible weekend classes to suit your schedule. Experience firsthand the power of in-person mentorship, available in weekday classroom bootcamps, ensuring a rich, experiential learning environment.
- Fees payable in up to 3 installments
- 12 months EMI available at 0% interest (though education financing partners).
- Cost-effective courses with high ROI, making it worth every penny you invest.
Fully Interactive Live Online
₹ 25000 + taxes
EMI starts @ 6496
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.
- Fees payable in up to 3 installments
- 12 months EMI available at 0% interest (though education financing partners).
- Cost-effective courses with high ROI, making it worth every penny you invest.
Classroom & Bootcamp
₹ 18000 + taxes
EMI starts @ 6496
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.
- Fees payable in up to 3 installments
- 12 months EMI available at 0% interest (though education financing partners).
- Cost-effective courses with high ROI, making it worth every penny you invest.
Career Support
AnalytixLabs is committed to helping you launch a successful career in AI, Data Science, and Analytics. With comprehensive Placement Assistance integrated into our Advanced Certification programs, our dedicated team of industry professionals offers personalized support based on your educational background and work experience. The placement process is designed to equip you with both opportunity and readiness—helping you transition seamlessly into the data-driven workforce.
Learn more about our Job Guarantee Program: https://www.
Placement Readiness Program
The Placement Readiness Program is a 6–8 week, industry-aligned module designed to give you a competitive edge after certification.
It goes beyond technical skills, offering expert guidance on resume building, interview coaching, and real-world simulations. With strong industry referrals, strategic job search planning, and personalized feedback, the program ensures you're not just prepared for the job market—you’re ready to stand out in it.
Diverse Job Opportunities
• Access to job opportunities through direct collaborations with organizations, reputed recruiters, and the extensive AnalytixLabs Alumni network.
• Many students receive multiple interview calls and see a significant boost in career prospects.
• Success, however, depends on a combination of the candidate’s dedication and the institute’s support. Active participation and timely course completion are essential for maximizing placement outcomes.
Continued Career Support
Your journey with AnalytixLabs doesn’t end after completing the Placement Readiness Program. We offer ongoing placement support to ensure you stay on track until you achieve your career goals.
Our dedicated team continues to assist with job opportunities, interview preparation, and personalized guidance as long as you need it. Many of our students benefit from multiple interview calls and long-term career growth, thanks to the strong foundation and in-demand skills built during the course.
How To Apply
select your course, complete the registration form, and make payment.
Submit your application
Submit your application by filling out the form, providing necessary details, and clicking submit to complete the process.
Give a selection test
Take the selection test to demonstrate your skills and knowledge. This will help us assess your readiness for the course.
Reserve your seat
Reserve your seat today to secure your spot in the course. Act fast, as spaces are limited and fill quickly!
Payment
Complete your payment to finalize your enrollment in the course. Choose your preferred payment method and follow the prompts to proceed.
What Students Say About Us?
True Stories, Transformative Career Experience
Piyush Ganar, Class of 2012 IIM Ahmedabad
(Director of Operations, Kenty.AI)
The course material is very easy to understand and the case studies were based on real time business problems. What I love the most about Sumeet and his team is that they never operated the institute like a typical commercial enterprise but more like a temple for learning. The gates of Alabs are always open for students for any kind of help and guidance. I would recommend ALabs to all.
Raajeev Kumar Sahu
(Senior Manager – Data Science, FinTech Startup)
I am from Advance Big Data Science course of Nov 2016 batch. The course was very structured and got real world problems to practice during the final case studies. It has also boosted my skills to start participating in the hackathons. Chandra sir was really helped me in preparing my resume right from very beginning of the course. Also, the placement team was very well organized and connected to industry leaders so that people get the right opportunity right after completing the course. I really recommend this institute, who are interested to transition into analytics field.
Sumit Asthana
(Assistant Manager, Senior Data Scientist)
The rapid pace at which the institutes are mushrooming all over India and Facebook newsfeed being inundated with thousands of options for analytics training, there are only handful of training institutes or rather say only couple of places where they prepare you to foray into rapidly growing analytics vertical. I have been working into legacy systems for past 5 years and was quite apprehensive if I will ever break into data science successfully.
Surbhi Sultania
(Analytics Manager, Mastercard Data & Services)
I took three months Big Data training from Analytix labs. Before joining this course, I had so many questions and doubts that will this course be worthy enough but later I found myself lucky to join this program. All trainers are amazing and always ready to help. Live examples and Case Studies are given which helps in understanding the concept and hands on practice.Not only they help in quality in depth knowledge transfer but also tend to give right direction to your career.
Vibhu Gautam
(Professor of Practice – Computer Science, UPES)
I had been associated with AnalytixLabs since 2012. This has been possible because of the mentor ship and support you get from faculty there specially from Sumeet and Chandra.I did a Business Analytic course with a focus on Marketing Analytic. The course deliver had been great and most importantly you never feel like you are part of formal classroom teaching. You are mentored there at every step, from Code Errors to Understanding Statistics behind it.
Upcoming Batches
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Benefits of Demo Account
- Get access to trial sessions to choose the most suitable course.
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Why You Should Learn Data Analytics + AI?
The market has shifted. A certification in data analytics & AI positions you at the intersection of analytical depth and intelligent automation. Here is how combining data analytics with AI transforms the traditional analyst role.
Our program offers two distinct tracks to match your career goals:
Choose Your Learning Path
Data Analytics Certification Course Fees
Our program offers flexibility in how you structure your learning investment. The fees vary based on whether you choose the standalone analytics track
or the full data analytics with AI course:
Classroom & Bootcamp
Skill mastery with immersive, hands-on learning guided by mentors. Opt for either our intensive weekday bootcamps or flexible weekend classes to suit your schedule. Experience firsthand the power of in-person mentorship, available in weekday classroom bootcamps, ensuring a rich, experiential learning environment.
- Data Analytics:
INR 61,360 (incl. taxes) - Data Analytics with AI :
INR 68,440 (incl. taxes)
Fully Interactive Live Online
Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding, enhanced learner engagement, and retention of knowledge.
- Data Analytics:
INR 53,100 (incl. taxes) - Data Analytics with AI:
INR 59,000 (incl. taxes)
Blended eLearning
Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.
- Data Analytics:
INR 47,200 (incl. taxes) - Data Analytics with AI:
INR 53,100 (incl. taxes)
- 12 months EMI available at 0% interest (through education financing partners)
- Cost-effective courses with high ROI
What Students Say About Us?
True Stories, Transformative Career Experience
Piyush Ganar, Class of 2012 IIM Ahmedabad
(Director of Operations, Kenty.AI)
The course material is very easy to understand and the case studies were based on real time business problems. What I love the most about Sumeet and his team is that they never operated the institute like a typical commercial enterprise but more like a temple for learning. The gates of Alabs are always open for students for any kind of help and guidance. I would recommend ALabs to all.
Raajeev Kumar Sahu
(Senior Manager – Data Science, FinTech Startup)
I am from Advance Big Data Science course of Nov 2016 batch. The course was very structured and got real world problems to practice during the final case studies. It has also boosted my skills to start participating in the hackathons. Chandra sir was really helped me in preparing my resume right from very beginning of the course. Also, the placement team was very well organized and connected to industry leaders so that people get the right opportunity right after completing the course. I really recommend this institute, who are interested to transition into analytics field.
Sumit Asthana
(Assistant Manager, Senior Data Scientist)
The rapid pace at which the institutes are mushrooming all over India and Facebook newsfeed being inundated with thousands of options for analytics training, there are only handful of training institutes or rather say only couple of places where they prepare you to foray into rapidly growing analytics vertical. I have been working into legacy systems for past 5 years and was quite apprehensive if I will ever break into data science successfully.
Surbhi Sultania
(Analytics Manager, Mastercard Data & Services)
I took three months Big Data training from Analytix labs. Before joining this course, I had so many questions and doubts that will this course be worthy enough but later I found myself lucky to join this program. All trainers are amazing and always ready to help. Live examples and Case Studies are given which helps in understanding the concept and hands on practice.Not only they help in quality in depth knowledge transfer but also tend to give right direction to your career.
Vibhu Gautam
(Professor of Practice – Computer Science, UPES)
I had been associated with AnalytixLabs since 2012. This has been possible because of the mentor ship and support you get from faculty there specially from Sumeet and Chandra.I did a Business Analytic course with a focus on Marketing Analytic. The course deliver had been great and most importantly you never feel like you are part of formal classroom teaching. You are mentored there at every step, from Code Errors to Understanding Statistics behind it.
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The real value of data lies in its extraction. Earning a recognized data analytics certification gives you the power to transform raw data into strategic business assets. You become indispensable across industries like finance, healthcare, and eCommerce. Data analytics bridges the gap between technical complexity and business strategy, making it one of the best courses for data analyst aspirants seeking premium compensation.
When you combine data analytics with AI, you move beyond analyzing data. You start orchestrating it. While traditional analysts spend 80% of their time on manual cleaning, Generative AI and Agentic AI automate these bottlenecks. You focus on high-value strategy and predictive forecasting, earning a competitive advantage in a market that demands AI-literacy.
How to Use Data Analytics?
Data analytics application includes identifying business problems, querying databases via SQL, and using statistical models to find trends. Organizations use these insights to optimize supply chains, reduce customer churn, and increase revenue through targeted marketing. When you choose the best data analytics certification, you master a systematic process: data collection, processing, and visualization to drive evidence-based decisions.
When you combine core analytics with Agentic AI, your role shifts from manual execution to system design. Instead of building static reports, you deploy no-code AI agents that monitor data around the clock and proactively suggest actions. With Python for agentic systems, you build autonomous workflows that can reason and act, turning standard dashboards into intelligent, self-evolving decision engines.
Our Data Analyst Certification with AI prepares you for the real business problems that modern enterprises face. Here is how this program teaches you to apply your learnings:
- Use Generative AI to automate repetitive analytics tasks, from generating complex SQL queries in seconds to AI-assisted data cleaning in Excel and Power BI.
- Build Python-based models that serve as the “brain” for intelligent systems, moving from descriptive reporting to high-accuracy, AI-driven forecasting.
- Gain hands-on experience building autonomous AI Agents that don’t just visualize data but act on it: executing multi-step business processes, monitoring live data streams, and triggering automated alerts without human intervention.
- Use advanced prompting techniques to turn complex analytical findings into compelling executive summaries and visual interpretations that drive boardroom decisions.
- Master Python and Agentic AI systems to create a “digital analyst”, a system capable of researching, querying, and synthesizing reports autonomously.
Programming Tools and Languages
Our advanced data analytics course is specifically designed as a data analysis course for beginners with no prior programming background. Whether you’re a fresh graduate, a working professional seeking a career switch, or a mid-career analyst looking to add AI skills, this program is built for you.
The course curriculum is developed in collaboration with Future Skills Prime (FSP), a joint initiative of the Ministry of Electronics and Information Technology (MeitY), Government of India, and NASSCOM. As a certification course in data analytics built for the AI era, whether you’re looking for data analytics certifications to validate your skills or seeking the most industry-relevant data analytics certification courses, this program ensures you’re job-ready for the AI-driven future. It remains among the best data analytics certification options for professionals across India.
Data Analytics Certification Course Duration
The data analytics certification course duration depends on the track you choose:
• Data Analytics Course (Core Track): 6 months
• Data Analytics + AI (Full Program): 10 months
This includes self-learning sessions, assignments, projects, and evaluation processes. We understand how challenging it is to manage time in today’s fast-paced world, which is why we provide maximum convenience with flexible learning modes, including Bootcamp and Blended eLearning options.
Data Analytics Course Syllabus
The programme begins with a self-paced Building Blocks refresher (Excel, basic statistics) before moving into the instructor-led modules below. For self-paced learners, all modules are also available in a blended e-learning format.
| Module | Classroom | Live online | Weekday | Weekend |
|---|---|---|---|---|
| Excel | ✓ | ✓ | ✓ | ✓ |
| SQL | ✓ | ✓ | ✓ | ✓ |
| Power BI | ✓ | ✓ | ✓ | ✓ |
| Applied data science using Python | ✓ | ✓ | ✗ | ✓ |
| Applied statistics + predictive modeling | ✓ | ✓ | ✗ | ✓ |
| GenAI for Excel, SQL, Power BI & Python AI track | ✗ | ✓ | ✗ | ✓ |
| Generative AI & no-code agentic AI AI track | ✗ | ✓ | ✗ | ✓ |
| Python foundations for AI AI track | ✗ | ✓ | ✗ | ✓ |
| Applied AI with Python & agentic systems AI track | ✗ | ✓ | ✗ | ✓ |
Data Analytics Course Learning Roadmap
Our certification course in data analytics (and AI) follows a structured learning progression over approximately 10 months. This data analytics course learning roadmap is divided into distinct phases that transition you from foundational data handling to advanced autonomous AI systems.
Key Progression Highlights:
- Data to Intelligence: Begin with manual data manipulation in Term 1 and progress toward building self-reasoning “digital analysts” by Term 6.
- Dual Tracking: Learn traditional tools (Excel/SQL) and progressively supercharge them with Generative AI.
- Agentic AI Edge: The final phase focuses on Agentic AI, creating systems that autonomously decompose tasks and delegate to AI sub-agents.
- Project-Driven: Each module includes industry-relevant capstone projects, from a “Probability of Default Model” for banks to “HR Talent Onboarding Agents.”
Our Data Analytics Course offers extensive coverage across diverse industry sectors, technical skills, and professional tools. The data analytics course syllabus is designed to help you transition from basic data handling to orchestrating autonomous AI systems.
The program uses real-life data and business problems from popular domains to ensure maximum job readiness:
- BFSI: Banking, Insurance, and Financial Services (e.g., building “Probability of Default” models).
- Retail & E-commerce: Marketing insights and sales analysis for leading platforms.
- Healthcare & Hospitality: Data-driven operational and customer experience analysis.
- Telecom & Manufacturing: Large-scale data handling and manufacturing analytics.
Core Skills
Data Foundations, Statistical Analysis, Data Visualization, Data Wrangling, Predictive Modeling, Data Blending & Manipulation, Machine Learning, MIS Reporting Analytics, Deep Learning and NLP, Analytical Thinking, Problem-Solving, Business Acumen, Critical Thinking, and Communication.
Languages and Tools You Will Master
- Languages: Python (core programming, data structures, OOP, AI workflows), SQL (advanced querying: Joins, Subqueries, Window Functions, CTEs), DAX (Data Analysis Expressions for Power BI).
- Core Analytics Tools: MS Excel (advanced functions, pivot tables, dynamic dashboards), Power BI (interactive reports, data-driven stories, Power BI Service).
- AI Frameworks & Platforms: LangChain, LangGraph, CrewAI, AutoGen, Zapier, Make.com, n8n, FAISS, Pinecone, Weaviate, FastAPI, Streamlit, Gradio.
- Libraries & IDEs: NumPy, Pandas, Matplotlib, Seaborn, Hugging Face Transformers, PyTorch, SBERT, VS Code, JupyterLab, GitHub.
Top Job Roles You Can Apply For
This program prepares you for a new generation of “AI-first” analytical positions. After completing the course, you’ll be uniquely positioned for both traditional data roles and emerging AI-centric titles:
- AI Data Analyst: Uses Generative AI to accelerate SQL, Python, and Power BI workflows, delivering insights 10x faster than traditional methods.
- AI Agent Orchestrator: Designs and manages autonomous No-code and Python-based AI Agents for complex multi-step tasks like policy intelligence or automated customer support.
- Predictive Analytics Specialist: Uses statistical modeling and Python-based AI to forecast business outcomes such as banking default risks or retail demand.
- BI Analyst (AI-Enabled): Creates self-updating dashboards and narrative reports using GenAI to interpret data trends automatically.
- Automation Engineer (Data & AI): Builds RAG (Retrieval-Augmented Generation) pipelines and integrates AI into business processes using tools like Zapier and LangChain.
Key Job Responsibilities You Will Master
Automated Pipeline Management: Deploying Agentic AI systems that autonomously query, clean, and process data.
Intelligent Insights Generation: Using Prompt Engineering and Generative AI to convert unstructured data into executive-level narratives.
Advanced Predictive Modeling: Building and fine-tuning models for credit risk assessment, sales forecasting, and more.
RAG System Development: Constructing knowledge hubs using Retrieval-Augmented Generation pipelines.
Multi-Agent Coordination: Orchestrating groups of AI agents that collaborate on high-level tasks.
Responsible AI Oversight: Monitoring AI outputs for accuracy, bias, and hallucinations.
Salary Benchmarks for Data Analysts in India
AI-integrated analytical skills provide a strong starting point and lead to exponential growth in earning potential, often commanding a 20–30% premium over traditional data analyst roles:
Capstone Projects
In addition to multiple case studies used during class sessions, the course includes the following assignments and projects for hands-on practice:
Assignments:
4 foundational exercises (Excel, VBA, SQL & Power BI).
Projects:
- Airlines data analysis and reporting
- Marketing & Sales data manipulation and analysis
- Sports equipment retail data analysis and visualization
- Consumer electronics pricing data analysis & visualization
- Sports event analysis and reporting
- “Probability of Default” model for banking (AI Track)
- HR Talent Onboarding Agent (AI Track)
- “Digital Analyst”: Autonomous research and reporting system (AI Track)
Certification
Owing to our established domain expertise and prestigious clientele in India and overseas, AnalytixLabs certification is highly regarded in the industry. Being India’s top-ranked data science institute, we uphold the sanctity of our certification process:
- Certification is awarded after fair evaluation of mandatory case studies, assignments, MCQs, and viva.
- Certification must be completed within one year of course registration.
- If assignments are not up to the mark, trainees receive support for improvement, but no plagiarism is tolerated during evaluation.
- Our objective is to ensure you gain vital hands-on experience so you are fully prepared for job interviews and on-the-job performance.
Career Support
AnalytixLabs is committed to helping you launch a successful career in AI, Data Science, and Analytics. With comprehensive Placement Assistance integrated into our Advanced Certification programs, our dedicated team of industry professionals offers personalized support based on your educational background and work experience.
Placement Readiness Program
The Placement Readiness Program is a 6 to 8 week, industry-aligned module designed to give you a competitive edge after certification. It goes beyond technical skills, offering expert guidance on resume building, interview coaching, and real-world simulations. With strong industry referrals, strategic job search planning, and personalized feedback, the program ensures you’re not just prepared for the job market. You’re ready to stand out.
Diverse Job Opportunities
Access to opportunities through direct collaborations with organizations, reputed recruiters, and the extensive AnalytixLabs Alumni network. Many students receive multiple interview calls and see a significant boost in career prospects. Active participation and timely course completion are essential for maximizing placement outcomes.
Continued Career Support
Your journey with AnalytixLabs doesn’t end after the Placement Readiness Program. We offer ongoing placement support to ensure you stay on track until you achieve your career goals. Our dedicated team continues to assist with job opportunities, interview preparation, and personalized guidance.
Frequently Asked Questions
What is a data analytics course?
Courses for data analyst are designed to help analytics aspirants and professionals to learn the tools and techniques to analyze data, predict outcomes, and visually represent them.
There are four main components to study:
1. Understanding Excel and PowerBI
2. Exploratory data analysis and data management
3. Python for data analytics and data visualization
4. Data analytics applications – industries and functions
These four major components will help you analyze data better and create accurate data prediction models to aid business decision-making.
Which data analytics course is the best?
One of the best data analytics courses is our Data Analytics certification course. We are touted as one of the premium institutes in India that offers courses in data science, AI, ML, and Data analytics for business.
Our course curriculum is designed in collaboration with global partners is updated according to the present market scenario.
For additional learning, our team of experts will continue to share free and easy-to-access resources and reading materials for easy upskilling. Meanwhile, you can read our blogs on Data Analytics and related topics.
Can I become a data analyst in 3 months?
The ideal data analytics certification course duration is 6 months. If you can finish all self-learning materials in less time, you can fast-track your learning. Ideally, 3 months will be a tough timelines for most candidates.
The PG Diploma course is 12 months. Since it covers advanced topics, you will have to complete the course in a year’s time. There is no way you can shorten the time span.
Who is eligible for the data analytics course?
The certification course is for anyone looking to start a career in analytics. A background in science, mathematics, or computer science can help but is not mandatory. Our course curriculum is designed to help novices get on board quickly.
The Post Graduation course applies to students who have completed the certification or equivalent degree course. It is more advanced and requires basic knowledge of the core data analytics concepts.
Does AnalytixLabs have dedicated classroom training sessions? How do I locate the nearest classroom?
Yes, AnalytixLabs also offers dedicated classroom learning sessions for those who want to experience in-person learning. We understand the importance of offline learning, and all our modules are designed to give you the best learning modes—online or offline. Our dedicated classroom learning offers traditional in-house learning clubbed with a modern approach to smart and interactive classes. We have learning centers for our Data Analytics Courses in Gurgaon, Bangalore, Delhi, and Noida.
Is data analytics course worth it?
Yes. Training in data analysis and data visualization can help you build a lucrative career in multiple job roles. You can become a business analyst, a data engineer, cyber security lead, and more. Your knowledge in data analytics can find you a role in various industries like e-commerce, aviation, finance, medical, agriculture, genomics, cyber security, and more.
Is the PGDA course equivalent to MBA?
If you upgrade to our PG course after completing our certification course, your final degree is equivalent to a master’s degree. However, MBA is different from data analytics.
While both are masters, the respective subjects are different. MBA covers the administrative side of a business, while data analytics is more at the core of business decision-making based on customer/client preferences and intents.
Is data analytics a good career option?
Yes. Skilled data analysts are core to any business. Statistics show businesses are more driven by the need to create a holistic buyer/client experience. They need data analysts who can read between the data and help predict buyer behaviors, market trends, and business outcomes.
What is the difference between Business Analytics and Data Analytics?
Data Analytics involves analyzing data to draw conclusions and address certain issues. While Business Analytics is focused on using data to optimize corporate performance and decision-making.
Here, at AnalytixLabs, we have both the Business Analytics 360 course and the Data Analytics PG course to help you learn from scratch and excel in the field.
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