Data Science Course with Certification & Placement
An extensive industry-relevant Data Science course with Placement Assistance!
6-8 Months
546 Hours
*TIH Partnerships via Edzor CAITE
Courses Included
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
₹ 65000/-
₹ 48000*/-
Optional Course
Data Science using R
₹ 20,000
₹ 4000/-
22June
Noida (Weekdays)
28 June
Gurgaon (Weekends)
09 July
Bangalore (Weekdays)
Learning Modes
Classroom Sessions
INR 87,320/-*
(Pay in Easy Installments)
INR 68,440/-*
(Pay in Easy Installments)
Interactive Live Online
INR 80,240/-*
(Pay in Easy Installments)
INR 59,000/-*
(Pay in Easy Installments)
Blended eLearning
INR 70,800/-*
(Pay in Easy Installments)
INR 53,100/-*
(Pay in Easy Installments)
Course Fees
(Program fees starts from)
INR 70,800/-*
(Program fees starts from)
INR 53,100/-*
Overview
No of classes X Hours
65 x 3 = 195 hours
+ 20 hours e-learning
Self Study Hours
422 (8-10 hours/ week)
38 hours of Assessment
Placement Readiness Program:
8 Weeks
(Post Certification)
Believe it or not, Data is running the show for every major industry, and professionals who can extract insights from it are leading the way. If you are looking for a data science course that goes beyond theory and actually prepares you for the workplace, this is it.
AnalytixLabs’ Advanced Certification in Data Science is a 700+ hour, 8-month program built for people with zero programming background. You start from the fundamentals (Excel, SQL, statistics) and work your way up to machine learning, NLP, predictive modelling, and generative AI. The entire curriculum is designed in collaboration with NASSCOM FutureSkills Prime, a joint initiative of the Ministry of Electronics & Information Technology (MeitY) and NASSCOM, so what you learn is directly aligned with what the industry needs.
What makes this different from the dozens of other data science courses out there? Three things.
- First, we offer genuine classroom training, not just recorded lectures. Walk into our training centres in Noida, Gurgaon, or Bangalore and learn face-to-face with instructors who’ve spent years solving real business problems.
- Second, the curriculum isn’t a collection of disconnected modules. It’s a structured journey: from data extraction and visualisation through to building, deploying, and monitoring ML models in production.
- Third, you don’t just get a certificate and a handshake at the end. Our Placement Readiness Program runs for 8 weeks post-certification, covering everything from resume building to simulated interviews.
Over 20,000 professionals have trained with us, and our alumni are working at companies across banking, e-commerce, consulting, and technology. The program carries a 9.6 average rating from past participants, a reflection of the rigour, relevance, and support built into every batch.
Whether you’re a fresh graduate exploring data science courses in India, a working professional looking to pivot, or someone who simply wants to add analytical muscle to their current role, this course meets you where you are and takes you where the industry is headed.
Course Curriculum
Data Science Course Syllabus
This data scientist course is structured as a ground-up learning path. You do not need any prior coding experience to get started.
Across 11 modules and 600+ hours, the syllabus moves from foundational skills (Excel, SQL, statistics) through core data science techniques (Python, predictive modelling) to advanced topics (machine learning, NLP, model deployment, and Gen AI).
Every module includes hands-on case studies drawn from real business problems, so you’re not just learning syntax; you’re learning how to solve.
The course is designed to give you the full stack of skills that hiring managers actually look for: data extraction, cleaning, visualisation, statistical analysis, model building, and deployment.
Whether you choose classroom sessions, interactive live online, or our blended eLearning format, the syllabus and assessments remain the same.
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Orientation & Fundamentals of Analytics
Introduction to Analytics & Life Cycle of Data Analytics Projects
- What is Analytics, Data Science, and AI? – Definition
- Difference between Business Analytics, Data Analytics, Data Science vs. AI
- Types of data (Structured vs. Unstructured vs. Semi-structured)
- Understand the impact and use of data analysis based on the real-world examples
- Stages of Analytics (Introduction to types of data analysis – Descriptive vs. Diagnostic vs. Predictive vs. Prescriptive vs. Cognitive)
- Analytics Methodology & problem-solving framework (Steps to solve a Data Analysis problem.) – Life Cycle of Analytics Project
- What is AI, GenAI, Agentic AI?
- The role of AI in Data analytics
- The applications of AI in day-to-day work?
- How is AI changing the roles over time?
- Expectations from the Employers
Data Analytics with SQL(MySQL)
RDBMS - SQL
- Basic RDBMS Concepts (ERD, Data Modeling, Schema, Normalization, ETL, etc..)
- Introduction to MySQL Server
- Overview of SQL Commands (Overview of DDL, DML, DCL, DQL), SQL Syntax basics, Operators, Order of execution etc.
- Data-based objects creation (DDL Commands – Data Gathering – CRUD Operations)
- Data manipulation (DML Commands) & DQL (Data Query), Data Preparation & Analysis (Data Aggregations & Summarizations)
- Accessing data from Single & Multiple Tables using SELECT statement & Clauses, inbuilt functions
- Advanced SQL (Advanced Joins, Subqueries, Window Functions, Views, CTEs, Stored Procedures etc.)
- Integrating SQL for Analytics (Databases & Schema, Python integration)
- AI-Powered SQL & Optimization (AI-Assisted Querying and Optimization)
Visual Analytics & Dashboarding using Power BI
PowerBI
- Introduction to Data Visualization concepts, BI, Power BI
- Data Preparation and Modelling (Power Query) – Extracting data from various sources, Load Data Model – Manage Relationships
- Data Analysis Expressions (DAX)
- Reports Development (Basic & Advanced Visuals in Power BI) – Types of visuals, mapping charts with analysis, and chart formatting
- Data-Driven Story Reports
- Creation of Dashboards – Wire Frames, Slicers, Filters, Tooltips, buttons – KPI-Based Dashboarding – E-commerce Case
- Advanced / Other Power BI Concepts (Parameters, Dynamic measures, Insights presentation etc.)
- Power BI Analytics
- Publishing workbooks and Workspace
- Overview of Power BI Service
- AI-Enhanced Presentations or design of dashboard with ChatGPT/Claude
Foundations of Programming Logic
(Python Core Programming)
- Introduction to Python for Data Science
- Essentials of Python Programming (Environment, IDE’s, syntax rules, objects, indentation, comments, assignment rules, file handling, etc.)
- Data Types (numeric, string, date time, etc.) & Operators-Operands, Expressions
- Data Structures (Lists, tuples, dictionaries, sets) – Accessing Data (Indexing & Slicing)
- In-Built Functions & Methods, Packages
- Conditional, iterative, or Control Flow Statements (if, ifelse, loops, comprehensions, etc.)
- User-Defined Functions (args, kwargs), Lambda functions, Classes
- Error & Exception Handling
- File Handling
- AI-Enhanced Coding Fundamentals – AI-Assisted Coding: Pair Programming with ChatGPT
Python for Data Science
(EDA + Visualization)
- Python Packages for Data Analytics & Data Science
- Operations with NumPy (Numerical Python) – Operations
- Mastering data with Pandas
- Reading (handling diverse data formats), Auditing, Cleansing, Preparing Data with Python & packages (numpy, pandas, datetime, regex, etc.), core techniques in data wrangling (basic & advanced)
- Python-SQL integration to extract data – performing SQL codes in Python
- Data Analysis (EDA (Descriptive, Diagnostic) – statistical analysis) using Python & packages (numpy, pandas, datetime, regex, etc.)
- Data Visualization using Python & packages (matplotlib, seaborn, etc.)
- AI-assisted coding – AI-Powered Data Wrangling with PandasAI
Applied Statistics
Statistics
- Statistics Fundamentals
- Descriptive and Inferential Statistics (Measures of Central tendency, variance, deviation, frequency, symmetry, peakedness, ranking, etc…)
- Understanding data distributions (Discrete, continuous) & relationships
- Sampling & Statistical Inference
- Concept of standard error and the central limit theorem
- Concept of Confidence Intervals
- Hypothesis Testing
- Statistical Methods – Z/t-tests (One sample, independent, paired), ANOVA, Correlation, and Chi-square – Applications – Implementation in Python (scipy-stats module)
Predictive Modeling, Machine Learning & Deep Learning
Predictive Modeling & Machine Learning (Supervised & Unsupervised), Introduction to Deep Learning
- Predictive Modeling, Types of Business Problems, Getting Started with Machine Learning & Foundations of ML
- Different Phases of ML Models, Data Preparation for ML, Feature Engineering
- Concept of Supervised Learning
- Supervised Learning – Regression and Its Applications – Model Building & Validation
- Supervised Learning – Classification and Its Applications – Model Building & Validation
- ML Algorithms (Linear, Logistic Regression, Decision Trees & Ensemble Learning (Random Forest, XGboost, etc)), Tuning the parameters
- Unsupervised Learning (K-Means Clustering)
- Introduction to Deep Learning
- Introduction to Artificial Neural Networks
- Deep Learning Frameworks (Keras, Tensorflow)
- AI for ML model building
Generative AI & Nocode Agentic AI
AI Foundations
- AI vs. Automation vs. Analytics
- AI, Machine Learning (ML), Deep Learning (DL) – differences & connections
- Narrow AI vs. General AI vs. Super AI
- Core AI applications (NLP, CV, Robotics, Predictive Analytics)
Generative AI Basics
- Traditional AI vs. Gen AI
- Every day, GenAI applications
- How does GenAI work?
- Key models (GPT, Claude, Gemini, LLaMA)
- Text generation & completion techniques
- Prompt Engineering basics: role, task, context
- Core Prompting Tasks (Text generation & completion, Summarization (short & detailed), Rewriting in different tones/styles)
- Prompt Structures (instructional, role-based)
- Prompting Techniques (Zero-shot prompting, Few-shot prompting, Chain of Thought (CoT) prompting
- Role Prompting, Multi-turn interactions (context retention), etc..
- Limitations of prompting
- Evaluating GenAI output quality
Large Language Models (LLMs): How They Work
- Introduction to transformers
- LLMs vs. SLMs
- Popular LLMs (GPT, Claude, Gemini, LLaMA) – Overview – Strengths & Limitations
- Introduction to Embeddings
Introduction to Agentic AI
- No-code AI overview
- Intro to workflow automation tools
- Introduction to Zapier basics (triggers & actions), n8n workflow design, Make.com integrations
- AI-powered productivity with Notion AI for task automation & summarization, Airtable for data storage & automation, Glide for mobile app prototyping, etc.
- Design & Storytelling Tools
- Integrating AI into everyday workflows – Linking AI workflows with business processes
- Prototyping with no-code/low-code tools
What is an AI Agent? How it differs from chatbots
- Agentic AI vs. AI Agents
- Key components of Agentic AI: memory, planning, tool use, autonomy
- AI Orchestration with no-code tools
- Agent frameworks (LangChain, AutoGen, CrewAI – overview)
AI challenges: Bias, hallucination, privacy & security issues
- Responsible AI principles: Fairness, Accountability, Transparency, Explainability
- Global AI Ethics Frameworks
- Safe & Responsible usage
- Responsible AI: Guardrails
*The programme also includes additional modules designed to enhance your learning experience.
Download the brochure to view the complete course curriculum and module details.
Who Should Do This Course?
This data science course is built for beginners. You don’t need to know Python, R, or even basic programming to start. That said, the depth of the curriculum means it’s equally valuable for working professionals who want to formalise and expand skills they’ve picked up on the job.
You’re a good fit if you are:
- A fresh graduate (any stream) looking to start a career in analytics, data science, or AI
- A working professional in IT, BPO, or operations wanting to transition into a data scientist role
- An analyst or reporting professional who wants to move beyond Excel into Python, ML, and predictive modelling
- A manager or team lead seeking hands-on understanding of the data science and artificial intelligence tools your team uses daily
The data science certification you earn upon completion is backed by NASSCOM FutureSkills Prime, widely recognised across industries in India. And because we offer classroom training alongside online modes, you can pick the learning format that genuinely suits your schedule and learning style.
Job Roles & Career Progression
- Data Scientist
- Data Analyst
- Data Architect
- Data Architect
- Business Intelligence Analyst
- GenAI Associate / AI Analyst
- Prompt Engineer
- No-Code Automation Specialist
- AI Consultant
- AI Workflow Consultant
- Workflow Automation Analyst
Key Skills
- Generative AI
- Prompt engineering
- Statistical Analysis
- Data Visualization
- Data wrangling
- Predictive modeling
- Data blending & manipulation
- Machine Learning
- MIS reporting analytics
- Deep learning and NLP
- Analytical thinking
- Problem-solving approach
- Communication
- Business acumen
- Critical thinking
- Product understanding
- No code Agentic AI
Capstone Projects & Assignments
Theory without application doesn’t stick. That’s why this data science course includes 6 capstone projects and 20+ graded assignments spread across the learning journey. These aren’t toy datasets; they’re modelled on actual business problems from banking, e-commerce, telecom, and retail. By the time you finish, you’ll have a project portfolio that demonstrates real capability to recruiters.
- Business problem-related data handling, creation of dynamic dashboards, and performing ad-hoc analysis using Excel, SQL and PowerBI
- Exploratory Data Analysis - Marketing Insights for Leading E-Commerce Company
- Building a Predictive Model (Probability of Default Model) for Leading Bank using Regression
- Marketing Insights for E-Commerce Company
- Woman Clothing E-Commerce Platform- Customer Review Analysis
- Deployment of ML model and create Flask application
Assignments
- 2 exercises for statistical analysis
- 4 case studies on Pandas for data munging, descriptive & visual analysis
- 3 Basic exercises ( Excel, SQL & Tableau)
- 1 Assignment on basic Python
- 3 Analytics case studies using R
- 10 short exercises on NumPy & Pandas
Projects
- Network intrusion detection (Supervised Machine learning)
- Ecommerce recommendation engine (MBA)
- Bank reviews analysis (Text mining & NLP)
- Telcom churn prediction (Classification & Machine Learning)
- Banking customer clustering (Unsupervised Machine Learning)
- Retail chain sales forecasting (Multivariate Time Series)
- Online job posting analysis (Text mining & NLP)
- Marketing & Sales data manipulation and analysis
- Consumer electronics pricing data analysis & visualization
- Airlines data analysis and reporting
- Sports equipment retail data analysis and visualization
- Peer group lending analysis & prediction (Regression Methods)
- Predicting credit card spend (Regression Methods)
- Sports event analysis and reporting
Programming Tools and Languages
Course Fees & Training Modes
Classroom & Bootcamp
An immersive, in-person learning experience designed to accelerate skill development through intensive, hands-on training and expert mentorship. It bridges the gap between theory and real-world application, equipping learners with the expertise and skills needed to succeed in today’s dynamic professional landscape.
Interactive Live Online
Blend classroom dynamics with engaging, real-time interactive Online sessions tailored to busy schedules. This innovative approach combines traditional and digital learning, ensuring effective knowledge retention. Experience deeper understanding through flexible, responsive instruction designed for modern learners.
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.
Course Fees
Transparent pricing, no hidden charges.
The data science course fees vary by learning mode, so choose the format that works for you. All modes cover the same syllabus, the same assessments, and the same NASSCOM certification.
EMI options (including 0% interest) are available across all learning modes.
Classroom Sessions
₹ 68,440/- 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
₹ 59,000/- 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
₹ 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.
Flexible Payment Options Across All Plans
Pay in up to 3 instalments · 0% Interest EMI via education financing partners · High-ROI programmes designed to deliver measurable career outcomes
Looking for a detailed breakdown of data science course duration and fees?
The full program runs 500+ hours over approximately 6-8 months. Classroom batches meet regularly at our Noida, Gurgaon, and Bangalore centres, while online batches run on weekday and weekend schedules. Whichever mode you choose, the investment pays for itself quickly.
Our alumni consistently report career returns that far exceed the course fees within the first year of completion.
Certification
AnalytixLabs certifications are highly valued across the industry, backed by a rigorous assessment process including case studies, MCQs, and viva evaluations. Certification is awarded on successful completion of all requirements within the defined timelines. Candidates get two attempts per assessment, and certification must be completed within one year of enrolment.
You also earn credentials from our esteemed academic and industry partners:
1. TIH Knowledge Partner Certification (Choose One at Enrolment)
(a) TIH at IIT Bombay
Certification under the TIH Foundation for IoT & IoE at IIT Bombay knowledge partner programme.
(b) TIH at IIT Patna
Certification under the IIT Patna Vishlesan I-HUB Foundation knowledge partner programme.
This includes virtual guest lecture sessions by TIH-associated experts, supplementary to the regular curriculum.
2. NASSCOM-FutureSkills Prime (FSP)
NASSCOM-approved certification, supported by MeitY, Government of India, and aligned to India’s Trillion Dollar Digital Economy mission, covering Analytics and Data Science.
Career Support
A course is only as good as the career outcomes it delivers. That’s why career support isn’t an add-on at AnalytixLabs. It’s built into the program from the start.
At AnalytixLabs, we’re committed to helping you build successful careers in AI, Data Science, and Analytics. With comprehensive placement assistance integrated into our 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.
Accelerate your career with our Job Guarantee Program: https://www.
Placement Readiness Program: A focused 6-8 week module after certification. This isn’t generic career advice. It includes one-on-one resume reviews, mock interviews with industry professionals, case study sessions, and structured feedback. The goal: interview-ready, not just course-complete.
Diverse Job Opportunities: 50+ companies have hired our alumni. Active recruiter network and 20,000+ alumni community across data science, analytics, ML, and BI.
Job Guarantee Program: Meet the requirements and don’t get placed? 50% fee refund. The best data science course with placement guarantee should have skin in the game.
Continued Career Support: Access to job postings, upskilling resources, and career counselling beyond the placement window. Long-term career partner, not just a training provider.
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.
How To Apply
There’s no entrance exam or lengthy application process. Here’s how it typically works:
Step 1: Get in touch
Call us, fill the enquiry form, or request a callback. Book a free demo class before committing.
Step 2: Speak with a Learning Advisor
Our counsellor will understand your background and goals, then recommend the right course and training mode.
Step 3: Reserve your Seat
Batches fill up quickly, especially classroom sessions in Noida, Gurgaon, and Bangalore. Lock in your spot early
Step 4: Complete Payment
One-time payment, instalments, or 0% EMI through our financing partners. Fees are the same regardless.
Looking for a Data Science Class Near You?
Not every data science course offers real classroom training. We do.
If you’re searching for a data science class near you, visit one of our training centres across India’s top tech cities:
- Noida: A-78, 1st Floor, A Block, Sector 2, Noida (near Metro Gate 3)
- Gurgaon: Sidhartha House, 2nd Floor, Plot 6, near HUDA City Metro, Sector 44, Gurugram
- Bangalore: BDA Complex, Bldg 51/2, 1st Floor, 12th Main Rd, HSR Layout, Bengaluru
Each centre is equipped for hands-on, instructor-led sessions with small batch sizes.
Can’t make it to a centre? Our interactive live online batches run the same curriculum with the same faculty, so you get the best data science training regardless of location.
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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Frequently Asked Questions
What is a Data Science course, and who is it for?
A data science course teaches you how to collect, clean, analyse, and interpret data to help businesses make smarter decisions. It covers programming (Python, R), statistics, machine learning, data visualisation, and increasingly, generative AI. You don’t need a technical degree to start. Our program at AnalytixLabs is designed for absolute beginners as well as working professionals looking to pivot into analytics or data science roles. Whether you’re from an engineering, commerce, or liberal arts background, the structured curriculum takes you from the basics to advanced techniques over 8 months.
What is the Data Science Course Duration and Fees at AnalytixLabs?
The full program spans approximately 9 months and includes 600+ hours of learning. Data science course fees depend on the mode you choose: Classroom sessions at ₹68,440 (incl. taxes), Interactive Live Online at ₹59,000, and Blended eLearning at ₹53,100. All three modes cover the identical syllabus and lead to the same NASSCOM FutureSkills Prime certification. We also offer 0% interest EMI options and instalment plans to make the investment manageable.
Is this the Best Data Science Course for Beginners with No Coding Background?
Yes. The program is built ground-up for people with zero programming experience. You start with Excel, SQL, and foundational statistics before moving into Python, R, and machine learning. Every concept is taught with business case studies, not abstract theory. That’s why our alumni consistently rate the course 9.6 out of 10. It bridges the gap between “I’ve never written a line of code” and “I can build and deploy a machine learning model.”
Does this Data Scientist Course come with a Placement Guarantee?
We offer both Placement Assistance and a Job Guarantee Program. Every student gets access to our Placement Readiness Program (PRP), a focused 6–8 week post-certification module with resume reviews, mock interviews, and recruiter connects. For those enrolled in our Job Guarantee track, if you meet the eligibility criteria and aren’t placed, we refund 50% of the fees. With 50+ companies that have hired our alumni and a 20,000+ strong network, the support system here goes well beyond a certificate.
What Data Science Certifications will I earn after completing the course?
Upon successful completion, you receive two certifications: an Advanced Certification from AnalytixLabs and a data science certification from NASSCOM FutureSkills Prime, a Government of India initiative. Both are widely recognised by employers across India. Certification requires completing all stipulated assessments (including case studies, MCQs, and viva) within the course timeline. You get two attempts per assessment.
Can I attend Classroom training, or is this only an Online course?
You have three options: Classroom & Bootcamp (in-person at Noida, Gurgaon, or Bangalore), Interactive Live Online (real-time sessions with faculty), or Blended eLearning (self-paced with some live elements). Classroom training is one of our key differentiators. Most institutes in India have moved entirely online, but we continue to run physical batches because face-to-face mentorship and peer learning produce noticeably better outcomes. The syllabus, assessments, and certification are identical across all modes.
What Tools and Programming Languages will I learn in this course?
The curriculum covers Excel, SQL, Power BI, Python, and R (optional via eLearning). For machine learning and NLP, you’ll use Python libraries like NumPy, Pandas, Scikit-learn, NLTK, and Spacy. The program also covers MLOps (Git, Flask, cloud deployment), and a dedicated module on Generative AI for practical use across Excel, SQL, Power BI, and Python workflows. By the end, you won’t just know one tool; you’ll have a full-stack analytical skill set.
What kind of Job Roles can I get after completing this Data Science course?
Graduates typically move into roles like Data Scientist, Data Analyst, Machine Learning Engineer, BI Analyst, Analytics Consultant, and Statistical Analyst. The specific role depends on your prior experience and how you build your project portfolio during the course. Many of our alumni have transitioned from non-tech backgrounds into core data science positions at companies across banking, consulting, tech, e-commerce, and healthcare.
What is the Average Salary after completing a Data Science Course in India?
Salaries vary based on experience, location, and the specific role. As a general benchmark, entry-level data scientists in India typically earn between ₹6–10 LPA, mid-level professionals command ₹12–20 LPA, and senior or lead roles can go well beyond ₹25 LPA. What matters more than the label on your certificate is the depth of skills you bring to the table, which is exactly what this program is designed to build.
How is this different from Free Data Science courses available Online?
Free courses are great for getting a taste of the field, but they typically lack three things: structured depth, expert mentorship, and career support. Our program gives you 700+ hours of progressive, assessed learning with live faculty interaction, not pre-recorded lectures you watch alone. You also get real capstone projects, a NASSCOM-backed certification, and a dedicated placement team. If you’re serious about a career switch or a significant salary jump, a structured data science training program is the faster path.
Can working professionals take this course alongside a full-time job?
Absolutely. Many of our students are working professionals. The Interactive Live Online mode runs on weekday evening and weekend schedules designed around 9-to-6 jobs. The Blended eLearning mode gives you even more flexibility with self-paced modules. Classroom batches also offer weekend options at our Noida, Gurgaon, and Bangalore centres. You’ll need to commit roughly 8–10 hours per week for self-study alongside the scheduled classes.
What if I miss a class?
Every live session is recorded and uploaded to your Learning Management System (LMS) within 24 hours. You can review the recording, then raise doubts with faculty during designated office hours or at the start of the next class. If life gets hectic for a stretch, our batch change policy lets you catch up with a subsequent cohort. Note that course access is valid for one year from enrolment.
Is this course relevant if I want to work in AI and data science, not just analytics?
Yes. While the program starts with analytics fundamentals, the bulk of the curriculum covers core data science and AI techniques: supervised and unsupervised machine learning, deep learning foundations, NLP, time series forecasting, model deployment, and a dedicated Generative AI module. If your goal is an AI and data science career rather than pure reporting, this program gives you the technical depth to get there.
How do I choose between AnalytixLabs and other Data Science institutes?
Here’s what to look for in any data science institute: the depth and structure of the curriculum, whether training is classroom or just online, the credibility of the certification body, the track record of placement support, and the experience of the faculty. AnalytixLabs has trained 20,000+ professionals since 2011, carries a 9.6 average rating, offers one of the few NASSCOM FutureSkills Prime certified programs in the country, and still runs genuine classroom batches across three cities. We’d encourage you to book a free demo class and see the difference for yourself.
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