Data Science Certification Course in Delhi
Best Data Science Course in Delhi NCR with placements and an industry-backed certificate!
675 Hours
65 Classes
14June
Noida (Weekends)
16 June
Gurgaon (Weekdays)
09 July
Bangalore (Weekdays)
Learning Modes
Classroom Sessions
INR 68,440/-*
(Pay in Easy Installments)
Interactive Live Online
INR 59,000/-*
(Pay in Easy Installments)
Blended eLearning
INR 53,100/-*
(Pay in Easy Installments)
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/-
Overview of Data Science Course in Delhi
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)
Data science as a subject needs no introduction. The rapid digitalization of India has paved the way for an estimated 11 million data scientist jobs by 2026. While Bangalore is the hub for IT, Delhi is coming up close with significant demand for skilled data scientists. This is one of the primary reasons why data enthusiasts continuously look for recommended data science institutes in Delhi so frequently.
There are a plethora of data science training institutes that claim to be the best data science institute in Delhi. While ‘best’ is always subjective, it is imperative to opt for a training center with courses aligned with the professional world.
Learn from the Leader – AnalytixLabs
AnalytixLabs has opened its doors since 2011 to welcome students and professionals. It has carved a niche for itself as a data science course pioneer and one of the most recommended data science training institutes in Delhi. Students can opt for online, offline, or hybrid modes of studying to learn at their own pace.
The course curriculums are designed by data science experts and consist of real-time projects that help students master all data science concepts.
There are three modes of study:
- Classroom and Bootcamp: Students interact with the trainer physically through quintessential classroom training. Interactive discussions and real-time FAQs form the crux of this mode of study. Along with this, students get in-mail support. Bootcamp options are available on weekdays as well as on weekends.
- Live training mode: This is essentially an online training model where students can learn and complete the course from any location of their choice. From one-on-one sessions with trainers to live training – this mode is interactive and ideally the most preferred mode for any data science certification course in Delhi.
- Self-paced learning: This mode of learning is unique to AnalytixLabs. Students learn at their own pace and with on-demand support and access to course materials. Students get access to all of it, from recorded video sessions and live doubts sessions on weekends and one-on-one Q&A sessions.
While these are the three primary training modes at AnalytixLabs for our Data Science training in Delhi, there is also an option to club online and data science offline course training mode. AnalytixLabs offers immense flexibility to students through a hybrid model of learning – i.e., blending multiple ways of learning to suit their pace of learning.
Course Fees & Structure
Data science course fees in Delhi vary from institute to institute. Ideally, it depends on the training method, placement support, and the course curriculum (including assignments and projects). At AnalytixLabs, the course fees vary according to the learning mode you choose.
You can now opt for an additional eLearning module of Data Science using R for just INR 4,000 along with the data science course.
You can also:
- Pay the amount in 3 installments
- Opt for a non-cost student loan with easy EMIs
- Get extensive support via email/in-person/online
- Have the flexibility to complete the certification in up to 1 year from your starting date (6 months for dual accreditation)
Data Science Course Syllabus in Delhi
What will you learn in this data science course?
Many aspiring data scientists opt for a data science career because they deem data science an IT job and believe it to be lucrative. However, the accurate picture is a lot different. Data science is an IT-enabled job that requires you to know all IT concepts properly, along with all data science concepts. The Data Science Certification Course has a robust curriculum that prepares you for both an IT and a data science career. You will learn everything-data in four parts, as follows: The first part is all about learning how to analyze and visualize data. The sub-parts in this section are:- Building blocks: You will start with learning about the basic concepts that will form the foundation of your skills. This section will cover programming skills and introduce you to basic statistics. Simultaneously, you will learn about RDBMS & SQL and mathematical foundations.
- Data analytics with Excel: You will already be introduced to Excel in the foundation section. Next, you will learn how to manipulate data using Excel functions, analyze data and report it, and get hands-on training in visually representing data. Add to this; you will learn about dashboards and how to create one using Pivot controls in Excel.
- Data analytics with SQL: In this part, you specifically learn about data manipulations and DDL commands, how to access data from multiple tables using SELECT, and advanced SQL. In this part, you get the scope to apply your learnings to a business case study.
- Data visualization and analytics with Tableau (Optional): Moving on to deeper learning, in this section, you learn about data handling, building advanced reports/maps, table calculations, and building interactive dashboards. There are several other concepts that you master, like building stories and sharing your work with others.
- Data Analytics & Visualization using Power BI: In this part, you learn to analyze and visualize data using Power BI. The focus is on data preparation and modeling, creating measures with DAX, and building interactive reports and dashboards. You also gain practical exposure to advanced Power BI features and publishing insights through the Power BI Service to support business decision-making.
Once you get a grip on all the basic concepts, you move on to the next part: Python for data science. This part has two fundamental modules:
- R for data science (optional): Concepts like data importing and exporting, data manipulation, data analysis, using R with databases, and data visualization with R are covered. Several parts are specifically tagged as eLearning, meaning even if you are enrolled for a classroom session, these particular modules will be taught online
- Python for data science: In this, you learn the core essentials of Python. From data cleaning to analysis and visualization, you learn how to do all of it using Python. You are introduced to advanced visualization tools, statistical methods, hypothesis testing, and visualizing geospatial data.
Now that you already have a firm grasp on how to use the python libraries, the next stage of this course moves on to predictive modeling and machine learning, aka Machine learning and Text mining. This stage goes over three modules:
- Predictive modeling with Python: Here, you first get introduced to predictive modeling and machine learning. You learn all about the different phases of predictive modeling, data exploration, and more. Then you move on to learn how to solve regression problems, going over concepts like linear regression, building a regression model, understanding standard metrics, and more. Lastly, you foray into solving classification problems.
- Machine learning with Python: Moving on to more advanced concepts, this part introduces you to a variety of machine learning algorithms, stages of an ML project, ML-Ops, and time series forecasting.
- Text mining using NLP: Last of this module, you learn about text mining, text processing with modules like NLTK and sklearn, data processing and simple statistical tools, advanced data visualization, and predictive modeling.
Generative AI for Excel, SQL, Power BI & Python:
This module introduces Generative AI fundamentals and prompt engineering, followed by practical applications across tools such as Excel, Google Sheets, Word, SQL, Power BI, and Python. Learners explore how GenAI enhances data analysis, automation, reporting, and machine learning workflows, with hands-on exposure to using AI for productivity, insights generation, and advanced analytics.
Data Science Course in Delhi – Tools and Skills you will learn
As mentioned earlier, AnalytixLabs does not require you to have proper programming knowledge. However, having some basic knowledge will increase your learning speed. Python is the most prominent tool that you will learn. Tools like Excel, R, SQL, Tableau, Pandas, RStudio, NLTK, NumPy, and Keras are covered in the Data Science Certification course by AnalytixLabs.You can learn multiple tools to up your data science game. Broadly, there are two types of tools –
- Self-service tools are ideal for technical expertise, i.e., programming skills and understanding statistics and computer science.
- Business user tools that help in automating commonly used analysis.
The 2020 Data Science and Machine Learning Survey listed the top data science tools. As per the survey, the top three performers are Python, SQL, and R – all of which are extensively covered in the data science courses by AnalytixLabs. Here are a few more tools that you should be aware of:
- Excel: Excel is a popular tool used by all data professionals. Powered by Microsoft, this tool has a robust set of formulas with which you can represent data in simpler forms. Functions like average data, concatenation, and summation help data scientists handle large volumes of data.
- PowerBI: PowerBI, powered by Microsoft, is a high-level tool that enables data analysis. It is less of a programming language and more like an application tool, similar to Excel. It is highly user-friendly and aids in amazing data visualizations. As part of the Data Science 360 course, this can be added as an optional module at a nominal cost.
- RapidMiner: In 2015, Rapidminer announced its support with SparkR and PySpark. This automatically made RapidMiner one of the most potent visual predictive analytics tools. To build a machine learning or data science model, RapidMiner is the right tool. It helps in data tracking and also in performing advanced analytics.
Apart from learning these tools, there are some foundational responsibilities that you must adopt to be a data scientist –
- Be comfortable with pattern identification. You must acquire the skills to detect anomalies in a data set and the know-how to analyze it.
- Learn about machine learning and its related algorithms.
- Master basic computing skills to use the principle elements of numerical analysis, database systems, and data management.
- Be proficient in implementing statistical models and algorithms that facilitate artificial intelligence and several other business processes.
- Be a pro in programming languages such as Python, SQL, R, or Java to code and create a program framework that will help data analysis.
- As a data scientist, you must know how to tell a story behind the data and graphically represent the same before stakeholders.
- Master analytical or critical thinking to provide data-backed insights and solutions to several business problems.
These tools and skills will continue to play a pivotal role in shaping your data science career. So, when looking for a data science course in Delhi NCR, ensure these skills and tools are extensively covered.
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Data Visualization & Analytics
Building Blocks
- Introduction to Analytics & Data Science
- Introduction to Business Problem Solving
- Basics of MS Excel
- Introduction to Basic Statistics (Measures of central tendency/variance/frequency/positions, Probability & distributions, Bayes Theorem etc.)
Data Analytics using Excel
- Introduction to Excel for Data Analysis
- Data Formats in Excel
- Sorting & Filtering
- Excel Functions – Commonly Used Functions
- Data Handling
- Data Validation
- Data summaries and reports using Pivot tables
- Basic & Customized Charts in Excel
- Creating Dynamic Dashboards in Excel
Data Analytics using SQL
- Basic RDBMS Concepts
- Introduction to MS SQL Server
- Overview of SQL Commands
- Data based objects creation (DDL Commands)
- Data manipulation (DML Commands) & DQL (Data Query)
- Accessing data from Multiple Tables using SELECT
- Advanced SQL (Advanced Joins, Subqueries, Window Functions, Views, CTEs, Stored Procedures etc.)
Data Visualization and Analytics using PowerBI
- Introduction to PowerBI
- Data Preparation and Modelling
- Data Analysis Expressions (DAX)
- Reports Development (Visuals in Power BI)
- Data-Driven Story Reports
- Creation of Dashboards
- Advanced / Other Power BI Concepts
- Power BI Analytics
- Publishing workbooks and Workspace
- Overview of Power BI Services
Data Science
Python for Data Science
- Introduction to Data Science
- Essentials of Python Programming
- Data Types & Operators
- Data Structures
- In-Built Functions & Methods
- Conditional & Control Flow Statements
- User Defined Functions, Classes
- Exception Handling
- Python Packages for Data Analytics
- Operations with NumPy (Numerical Python)
- Overview of Pandas
- Cleansing Data with Python
- Data Analysis using Python
- Data Visualization using Python
R for Data Science (Optional e-learning)
- Data Importing/Exporting
- Data Manipulation
- Data Analysis
- Using R with databases
- Data Visualization with R
- Introduction to Statistics
- Introduction to Predictive Modeling
- Supervised Learning: Regression problems using OLS Regression
- Supervised Learning: Classification problems using Logistic Regression
- Introduction to Machine Learning
- Supervised Learning: Regression problems
- Supervised Learning: Classification problems
- Unsupervised Learning – Segmentation
- Time Series Forecasting
Applied Statistics + Predictive Modeling using Linear & Logistic Regression
- Statistics Fundamentals
- Descriptive and Inferential statistics
- Probability Distributions
- Sampling & Statistical Inference
- Concept of standard error and central limit theorem
- Concept of Confidence Intervals
- Hypothesis Testing
- Statistical Methods – Z/t-tests (One sample, independent, paired), ANOVA, Correlation and Chi-square
- Introduction to Predictive Modeling
- Steps for building a predictive Model
- Solving Regression Problems using OLS Regression (Linear Regression)
- Solving Classification problems using Logistic Regression
Machine Learning & Text Mining
Predictive Modeling & Machine Learning
- Quick Recap of Python Foundations
- Getting Started with Machine Learning & Foundations of ML
- Data Preparation for Machine Models
- Supervised Learning
- Supervised Learning – Regression and Its Applications
- Supervised Learning – Classification and Its Applications
- ML Algorithms (KNN, NB, SVM, ANN, Decision Trees & Ensemble Learning (Bagging, Random Forest, AdaBoost, Gradient Boost, XGboost etc..)
- Unsupervised Learning (Clustering, Recommendation Systems)
- Time Series Forecasting (Self Paced)
Text Mining (NLP) using Python
- Intro to Text Mining & NLP landscapes and use cases
- Reading Text data into python
- Text Handling using Regex
- Introduction to Python packages of Spacy, NLTK, Textblob
- Text Representation / Vectorization
- Word2Vec, Custom W2V in python using Gensim Library
- EDA and Text Classification
- Sentiment Analysis
- Text Segmentation
- Topic Mining – LDA
MLOps
Model Implementation + Deployment + Cloud Computing
- Foundations of MLOps( GIT, GitHub, JIRA, Cloud Computing)
- Introduction to Flask & Application Development
- Introduction to MLOps
- Machine Learning Life Cycle
- ML Engineering Pipeline
- How to implement MLOps?
- Understand end-to-end MLOps solution
- Deployment of ML Model in the cloud
- Ways of deployment of models
- Creating simple app
- Develop a prototype, deploy, monitor, and continuously improve a production-sized ML application.
Generative AI
Gen AI For Excel, SQL, Power BI & Python
- Introduction to GenAI
- Prompt Engineering concepts
- Generative AI for MS Excel
- Generative AI for Other tools like Google sheets, word etc.
- Generative AI for SQL
- Generative AI for Power BI
- Generative AI for Python
- Generative AI for ML using Python
Who should opt for data science certification training in Delhi?
Beginner candidates from various quantitative backgrounds, like Engineering, Finance, Maths, Business Management who are looking for Data Science certification training in Delhi to start their career in the field of Data Science.
Data Science Job Roles
- Analytics Consultant
- Data Science Consultant
- Business Analyst
- MIS Analyst
- Data Analyst
- Statistical Analyst
- Data Science Consultant
- Data Scientist
Key Data Science Skills you will learn
- MIS Reporting Analytics
- Statistical Analysis & Modelling
- Data Visualization
- Predictive Modelling
- Data Blending & Manipulation
- Python for Data Analysis
- Data Mining & Analysis
- Reporting Analytics
- R Programming
- 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.
- 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
- 1 Assignment on basic Python
- 3 Basic exercises ( Excel, SQL & Tableau)
- 10 short exercises on NumPy & Pandas
- 4 case studies on Pandas for data munging, descriptive & visual analysis
- 2 exercises for statistical analysis
- 3 Analytics case studies using R
Projects
- Sports event analysis and reporting
- Consumer electronics pricing data analysis & visualization
- Telcom churn prediction (Classification & Machine Learning)
- Predicting credit card spend (Regression Methods)
- Peer group lending analysis & prediction (Regression Methods)
- Sports equipment retail data analysis and visualization
- Airlines data analysis and reporting
- Marketing & Sales data manipulation and analysis
- Peer group lending analysis & prediction (Regression Methods)
Programming Tools and Languages
Data Science Training Modes in Delhi
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 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.
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 Science Course Fees in Delhi
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.
Data Science Certification in Delhi
With our strong domain expertise, AnalytixLabs certifications are highly valued and widely respected across the industry. As India’s leading Data Science institute, we uphold a rigorous and credible certification process to ensure our students are thoroughly prepared for real-world challenges.
Certification is awarded only upon successful completion of all the stipulated course requirements, which include, but are not limited to, case studies, MCQs, and viva assessments—all to be completed within the defined timelines. Candidates are given two attempts per assessment, and the certification must be completed within one year of course enrollment.
Additionally, you have the opportunity to earn prestigious certification through our esteemed academic and industry partner:
NASSCOM – FutureSkills Prime (FSP): Offered through FutureSkills Prime, a flagship initiative under India’s Trillion Dollar Digital Economy mission, this certification is NASSCOM-approved and industry-aligned. It provides in-depth training in Analytics & Data Science, equipping learners for the dynamic digital landscape.
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 Data Science Batches in Delhi
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Benefits of Demo Account
- Get access to trial sessions to choose the most suitable course.
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Frequently Asked Questions
What are the different stages of Data Science?
Data science is all about analyzing structured and unstructured data, detecting unseen patterns, and creating predictive models to solve business problems. A data scientist will use statistical analysis and machine learning algorithms to create these models that enable a business to make meaningful decisions. These data can come from various sources and in multiple formats.
However, when we talk of the life cycle, data science goes about five distinct stages that you will learn in this course.
Stage 1: Capturing the data
The first step is always gathering unstructured raw data, and this is done either by a manual data entry process or automated campaigns to capture data. Data extraction, signal reception, and data acquisition form the crux of this stage.
Stage 2: Data preparation and management
After gathering raw data, this data is converted in a form where it can be used i.e., further analyzed—processes like data cleaning, data staging, and data staging help in doing this.
Stage 3: Data Exploration
The next step is to mine the data and analyze the patterns and ranges. Data scientists see if the data in hand will be useful for business predictions—processes like data classification. Data modeling and data mining are part of this stage.
Stage 4: Analyzing and Modelling the data
This is the real exciting stage. Once a data scientist is confident that the data can be useful, analytic processes like text mining, qualitative analysis, and predictive analysis begin. Various forms of analyses are performed on the data.
Stage 5: Data reporting
Data visualization, reporting, and decision-making are all part of this final stage. Once data is analyzed, a data scientist has ready materials to communicate with business stakeholders. Through data visualization, reporting, and analytic models, data scientist communicates the insights they have gathered and what they could mean for the business.
What will be my role as a Data Scientist?
A data scientist looks into all the above-mentioned stages and ensures that the right insights are made. However, this is only a broad explanation of what a data scientist does, and it is easier said than done.
A data scientist’s job description depends on the project they are working on, but the basic requirements of being a data scientist remain the same. Go to any data science certification course in Delhi, and you will find it covers the following skill sets:
- To identify data sources and automate data extractions or collection.
- To know how to process data and learn to sort structured and unstructured data.
- To analyze data for patterns and trends.
- To build predictive business models based on these analyses.
- To communicate data findings and learn to represent data visually.
- To clean data and remove all noise.
You can learn more about the role of a data scientist and the skills required in our detailed blog here: Role of a Data Scientist
A data scientist knows how to handle business problems and provide solutions for abstract problems. This is one of the primary skills you will acquire in this course.
What is the future of data science jobs?
Jobs are evolving as businesses face new challenges every day. Customer market or consumer demands change at the drop of a hat. Thus, companies have no option but to look at data daily to identify trends and patterns that will help them stay updated and afloat. They need data scientists to do all the analysis and prediction.
Research by Forbes and Glassdoor shows that by 2026, there will be a 28% increase in the demand for data science professionals. Another survey saw data scientist as the second-best job in America in 2021, with an average base salary of USD 127,500.
So, if you want to start with a data science certification course in Delhi or any city, there is no better time than now.
What is the best career option after completing data science certification course in Delhi?
Our data science certification course in Delhi is touted as one of the best courses that train and equip you with practical knowledge about data science and its core areas. To make an informed career choice, you must understand the core areas where a data scientist functions. Once you know this and simultaneously identify your skill sets, you can pick the right career path for yourself.
To give you a brief – Data Scientists functions in various areas like:
(1) Database management
You learn how to design and deploy databases and be adept in maintaining databases containing complex data. If this is your core skill, you can opt for data analyst and data administrator job roles.
(2) ML Engineer
This area is about data designing and implementing enterprise-level infrastructure for machine learning solutions. You are responsible for analyzing the system requirements before deploying integrated AI ML models, and business uses. Ideal job roles are AI and ML engineers.
(3) Data mining
You become a pro in application statistics, meaning you know how to mine data and create predictive models based on your analysis. You look at consistent patterns or trends that can help businesses gain insights into their consumer market and make informed business decisions. You are in charge of finding insights and representing the findings in layman’s terms so that everyone understands the message. Your ideal job role can be a data scientist or a business analyst.
(4) Business intelligence
This area of data science deals with back-end data source improvements. This is done to improve and increase accuracy in data and build better business solutions. A business intelligence specialist does everything from managing dashboards to identifying business opportunities and reporting to stakeholders. Roles you can consider are BI engineer, data strategist, BI analyst.
(5) Cognitive development
This area is more popularly tagged with building a robot. You deal with more complex data on a larger scale. Here you learn to gather maximum data input to feed your model and build data pipelines. You learn to A/B test your data sources and build an actual algorithm. This focus area is more adept for people who believe in research and are pro with statistical techniques. If you are able to master this area, then roles like ML engineer and cognitive developer are an ideal match for you.
(6) Data visualization
This is an exciting area where you learn how to represent your data better visually. Each analysis can have specific business needs and use cases. Learning to express your data according to the use case is undoubtedly a skill. You are responsible for creating business solutions and representing them to the stakeholders and your team for clarity and implementation. Ideal roles are Data visual developer and software developer.
(7) Sector-based data analytics
Learning how to handle data is one part of the story. You can train yourself to become a pro for a particular industry as well. Here are some go-to ideas:
• Operations analytics: if you are not that technical but still love to solve problems, then this is where you belong. Here, you learn to leverage available tools, work on data provided by a data team, and find opportunities for the business. It can be logistics, finance, human resource, or technology.
• Marketing analytics: You focus on data related to customers and sales and track customer behavior to create predictive models on how businesses can connect with target consumers better.
• Healthcare and finance analytics: if you are from any of these backgrounds, then you can simply opt to take up a role where you look into business expectations and enable the business to find the right kind of solution.
What is the Data Science Course Fees in Delhi?
→ Classroom Sessions: INR 68,440/- (including Taxes)
→ Interactive Live Online Sessions: INR 59,000/- (including Taxes)
→ Blended eLearning: INR 53,100/- (including Taxes)
You can also avail of the optional eLearning course of Data Science with R at an additional cost of only INR 4,000 now (instead of INR 20,000).
What you get:
- Can pay the fees in 3 installments or opt for no-cost EMI options
- 500 hours of intensive learning
- In-mail, online, in-person support
- Flexibility to complete the course in 1 year (6 months for dual certificate)
- Additionally, you have the opportunity to earn prestigious certifications through our esteemed academic and industry partner: NASSCOM – FutureSkills Prime (FSP). Offered through FutureSkills Prime, a flagship initiative under India’s Trillion Dollar Digital Economy mission, this certification is NASSCOM-approved and industry-aligned. It provides in-depth training in Analytics & Data Science, equipping learners for the dynamic digital landscape.
Payment modes: All digital modes of payment are accepted here. You can pay via UPI ID or use your credit/debit card to process the payment. You can also make on-spot payments via cheque payment. Career and placement support offered by AnalytixLabs
AnalytixLabs offers career and placement support for all students enrolled in data science courses.
Does Data Science 360 Course come with placement support?
AnalytixLabs offers career and placement support for all students enrolled in data science courses.
There is a dedicated team of industry experts who help in:
- Building professional resumes and online profiles for maximum exposure
- Train and enable students to be confident for upcoming interviews
- Offer job referrals across various organizations through AnalytixLabs rich alumni who are associated with some of the big names in the tech industry
- On-going support for all students as long as needed
AnalytixLabs is a proud house to students who have paved their way into some of the biggest tech names like JP Morgan, IBM, Facebook, Deloitte, Bank of America, Tech Mahindra, McKinsey & Company, and more.
Industry experts offer mock interviews, career guidance, and performance feedback to train you for the professional world. So, if you are looking for a data science course with placement in Delhi, it has to be AnalytixLabs Data Science certification course.
What are our students saying about our Data Science 360 course in Delhi?
AnalytixLabs has earned a premium tag for its industry-relevant learning material and dedicated experts’ support for all students, irrespective of the courses, location, and learning modes.
Our data science 360 course in Delhi has enabled students and professionals to carve a niche for themselves through practical learning, hands-on training, self-evaluation, and expert guidance. We are proud to be a part of their learning journey.
AnalytixLabs review scores:
- G2 Rating: 4.7/5
- Glassdoor: 4.4/5
- Sitejabber: 4.85/5
- Trustpilot: 4.1/5
Here are some of our students motivating us to do better every day –
I have completed Data Science with python from AnalytixLabs. I have never regretted my choice since the day I joined AnalytixLabs. And trust me, whosoever is planning to learn must choose AnalytixLabs. The kind of support and guidance I receive from the course mentors is really amazing. They never feel irritated or bored while explaining. Enjoyed my learning time with AnalytixLabs.
~ Neha P. on G2 platform.
Understanding predictive modeling and the application in real-world with hands-on projects and assignments
- The course content, assignments, and projects
- The faculty- The way Chandra Sir taught data science combining the concepts with business acumen, helped me to gain an idea about the way data science is used in real life apart from the mathematical concepts behind each algorithm
~ Gaurav K. on G2 platform.
I have enrolled with AnalytixLabs, for the Data Science course in Python, R, and also Big Data using Spark, Hadoop. So far I have done the Python course. The lecturer Mr. Chandra Mouli is very knowledgeable and experienced in the subject. All the faculty members are very much in sync with current industry trends in the field of Machine learning. The lectures are conveniently timed on the weekends so can be attended by working professionals like myself.
Even if we miss a call or two, the videos are available in the LMS so the candidate can self-train. I liked that Analytixlabs focuses on delivering hands-on training via practicals, exercises, and projects.
~ Saurabh’s review on Glassdoor.
In Analytixlabs, you can directly reach trainers whenever required. They are very friendly and supportive. They will guide you to the right opportunities.
~ Nina H. on Sitejabber platform.
Check out more testimonials from our students (connected to genuine LinkedIn profiles) on our Testimonial page.
What benefits of joining a certification program at AnalytixLabs?
All courses under the banner of AnalytixLabs are industry-relevant and updated with the latest trends. Each course material is built based on market trends while covering every basic to advanced concept. The singular benefit of joining our certification program is learning from the best at your own pace.
Our programs are built keeping your learning preferences and expectations in mind. You get dedicated mentoring to learn the concepts with ease, complete all practical assignments, prepare for job interviews and get onboarded with your dream company.
Is a career transition possible with this course?
Yes. You can change/switch careers mid-way after completing the data science course. You can foray into the data science field easily after successfully finishing this course, irrespective of the field/domain you were in.
Several students have moved into data science domain from other domains like manufacturing, software, etc.
We encourage you to take the first step because rest, as they say, will be history!
I am not a programmer. Can I enroll in the Data Science Certificate course?
Yes. Our courses are designed to train you with all the basics. If you are not a programmer, fret not – our course modules include training in programming languages. Add to this, there are various sections of data science that do not require you to know programming languages. You are all set if you are an analytical thinker and know how to solve random and abstract business problems by simply looking at data.
Who can avail of the demo classes?
Every course has a demo class that anyone interested can take to get an overview of what the course is about, how the trainer is, and the quality of the certification course. These demo classes are free and can be taken before enrolling in a paid course.
How is the faculty at AnalytixLabs?
AnalytixLabs is for data scientists and business analyst experts by data science and BI enthusiasts. The faculty comprises IIT and IIM alumni members who have in-depth industry knowledge.
The faculty members are selected from the best talent pool in the industry and who are not just passionate about Data Science but also about coaching. Meet our Faculty here.
What are the other things I should know before pursuing the Data Science Course in Delhi?
You are close to understanding the nitty-gritty of being a data scientist and where to start from. Before we wrap up this discussion, here are a few more blogs are sources you may refer to learn Data Science.
You can start with our Free Resources that are downloadable and offer lifetime access to you. Some blogs that are worth reading:
- What is the difference between data science and business analytics?
- Is PG in data science worth it?
- What is the Data Science process?
- Beginners guide to mastering Python for data science
- Top 25 books to learn Data Science
Some other data science blogs worth following are:
- The IBM Data and AI blog: IBM is a leader when it comes to data science and AI. Make sure to follow this blog and get the latest insights on how to disrupt the data science industry and develop innovative ways to improve market ROI.
- Dataversity: This is more like an online magazine clustered with videos, infographics, whitepapers, and more to help students prepare for the future. Looking for a learning plan? Dataversity offers one, and a pretty good one.
- FiveThirtyEight: The editor-in-chief, Nate Silver, is a statistician. So, expect a lot of insights on the practical use of data. Add to this, there are two podcasts that cover data points in sports and politics. Worth reading (And listening).
- Data Science 101: This blog is run by an award-winning team and is the OG of data science blogs. From explaining the founder’s journey from software engineer into data science, to running an ongoing series on cloud data science – this blog is a gamut of information for all data science enthusiasts.
That’s it. Looking to start with data science? Now’s the time. If you are an existing professional and looking to hone your skills, enroll yourself and go over the concepts once again along with acquiring advanced knowledge. Your data science career starts from here. Hurry, seats are filling in fast.
We hope to have cleared any doubts that you may have regarding the data science classes in Delhi, especially at AnalytixLabs. If you still have a question we did not address, feel free to connect with us, either via our social pages or via the connect with us page.
How is the Data Science job market in Delhi?
Delhi has emerged to be one of the top markets with open data science job roles. Post-covid, this city has seen the fastest growth in the number of jobs. Add to this, a majority of companies in Delhi are now offering Hybrid roles to Data Scientists along with practical perks like paid vacation, work-life balance, medical including Covid support, etc., without curbing on the pay scale.
To put it in a nutshell, Delhi is brimming with opportunities and is extensively looking out for skilled data scientists.
What companies hire Data Scientists in Delhi?
Companies, big and small, hire data scientists in Delhi. You can look at companies currently hiring here.
What is the salary bracket I can expect in Delhi?
The salary structure depends on your experience. In Delhi, you can expect a salary bracket starting at INR 5LPA and go upto INR 25+LPA. Below is an estimate on the numbers as per your experience –
- Entry Level – Up to 5 Lakhs
- Intermediate Level – Up to 8 Lakhs
- Experienced Level – Up to 12.5 Lakhs
- Advanced Level – Up to 18 Lakhs
- Expert Level – More than 25 Lakhs
Will I get the certificate from AnalytixLabs after completing the course?
Yes.
How can I find a Data Scientist course near me?
If you’re looking for a Data Scientist course, you’re in the right place! AnalytixLabs offers a variety of data science programs that are designed to fit both beginners and experienced professionals. We are offering both online and data science course offline in the metropolitan cities of Gurgaon, Noida, Delhi, & Bangalore.
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