Master Data, Drive Decisions.
Data Science Course in Chennai.
Our Data Science Course in Chennai equips you with the skills to analyze, visualize, and extract insights from data. Learn Python, Machine Learning, and AI from industry experts and build a future-ready career.
Classes
Available
You won’t just learn Python in a classroom. From Day 1, you train inside Vinci Studio's Data Division.
Vinci Studio’s Data Division is a studio-style training environment where every data science project brief is treated like a real business problem — reviewed using professional data, analytics, and insight-driven standards.
- Work on studio-style data briefs, not random Kaggle tutorials
- Get professional feedback on model quality and business insights
- Learn the BRIDGE framework to structure data science projects systematically
- Build a data portfolio that showcases real-world problem-solving capability
The Result
In interviews, you present insights that drive business decisions, not just models that predict — proving your ability to think like a real data professional.
Placement Record
Showcasing the top companies where our students have been successfully placed.
What Our Students Say
Hear from our students about their journey of support, learning, and growth
Kaushik N
Data Science
★★★★★
I genuinely loved the data science course offered here. The course was very helpful for someone like myself who wanted to transition to data science from a non-IT domain. The syllabus was well-tailored and covered everything from basic all the way till advanced topics. The instructors were very knowledgeable and made the classes more engaging.
Priya
Data Science
★★★★★
Coming from a non-technical background, I was initially intimidated by Data Science. But this course made everything approachable and easy to understand. The hands-on projects and real-world examples gave me the confidence to apply for jobs in the field.
Rahul
Data Science
★★★★★
The instructors were incredibly supportive and knowledgeable. They didn’t just teach the tools—they helped us understand the 'why' behind every concept. This course truly built a strong foundation for my career in data science.
Jenifer
Data Science
★★★★★
I was looking for a career shift and this course delivered beyond my expectations. The combination of theory, assignments, and case studies was spot on. I landed my first role as a Data Analyst right after completing the program.
About Data Science
Data science is an interdisciplinary field that combines programming, statistics, and business intelligence with fields like machine learning, artificial intelligence, and business analytics to get valuable information from large amounts of data.
Data science is a new and popular field with a lot of opportunities.
Data scientists are in high demand because their skills can be used in many different fields, such as Healthcare, Finance, Retail, Education, and many more. Since 2012, the demand for data scientists has grown by 31% every year. Their average salary ranges from 6 to 10 lacs per year in India, depending on the location and size of the company.
If you have good skills in Data Science, you can get jobs like Data Analyst, Business Intelligence Analyst, Data Visualizer, etc., to start with.
Data science is one of the top five careers that young people worldwide want to go into, and it's only going to get stronger in the years to come.
Vinci Studio Merit-Based Progression in Data Science
Why is Web D School the best training institute to learn Data Science Course in Chennai?
Learn from industry experts with a hands-on curriculum, real-time projects, and personalized mentorship. We prepare you not just to learn data science, but to launch a successful career in it.
Trainers from Industry
All our trainers have gained real time experience working in reputed companies & have immense knowledge in the Data Science field.
Small Batch Size
We take only 6 students per batch so that we can pay more attention to each one.
Frills-Free Syllabus
We only teach what a student needs to know to enter the Data Science field, which is different from most institutes that try to attract students with fancy terminologies and needless topics.
Projects Based Training (SOAP)
We give our students a lot of tasks and assignments through a system we call SOAP (Student Output Assessment Plan), and we also give them helpful feedback.
Live Interactive Sessions
Since our batch sizes are small, it would truly be an interactive session where we encourage our students to ask any number of doubts during the class.
Recorded Sessions
All sessions would be recorded on video and given to the students so they could watch and learn from them later.
Placement Support
We have a dedicated placement team that supports all our students in their placement journey, starting with Resume building until securing a good job.
Program Overview
Everything You Need to Build a Real DATA SCIENCE Career.
Duration
6 Months
Sessions
72 Sessions (90 mins each)
Mode
Campus (Chennai) or Online
Schedule
Alternate days + Weekend options
Studio Access
Unlimited lab hours for campus students
Decode Data. Drive Decisions.
What you will learn?
Few things to know before joining our Data Science training program in Chennai.
Data science
Data science is an umbrella phrase that includes data analytics, data mining, and machine learning, among other fields. A data scientist is a specialist assigned to capturing, analyzing, and interpreting vast quantities of data. Data scientists usually deal with uncertainty by using more sophisticated data tools to predict the future.
Data analyst
Data Analytics is a discipline within Data Science. A data analyst analyzes data to find important insights about a company's customers and strategies to manage problems using the data. Using technologies such as SQL, R, or Python programming languages, data visualization software, and statistical analysis, data analysts often use structured information to solve practical business problems.
Data visualization
Data visualization is a subset of data science. Data visualization is the pictorial representation of data and information. Data visualization tools make it easy to see and understand trends, outliers, and patterns in data by using visual components like charts, graphs, and maps. Some of the most popular tools for visualizing data are Tableau, Power BI, and Excel.
Python
Python is a vital part of the data analyst's toolkit since it is well-suited for performing repeated operations and data manipulation, and anybody who has dealt with significant volumes of data knows how frequently repetition occurs. Once you have mastered Python's fundamentals, you should investigate libraries such as NumPy, Pandas, and Matplotlib, which assist the data analyst in carrying out his or her responsibilities. Tensorflow, Keras, and Theano are among the many Python packages that help data scientists develop deep learning algorithms.
Mathematics & Statistics
Math and statistics are necessary for Data Science since they provide the basis for all machine learning algorithms. Data scientists use statistics to gather, evaluate, analyze, and draw conclusions from data and apply appropriate quantitative mathematical models and variables. Applying linear algebra allows for the efficient completion of several important computations.
Machine learning
Machine learning automatically analyzes and evaluates large amounts of data. It automates the process of data analysis and generates predictions in real-time without human intervention. A Data Model is constructed automatically and then trained to make predictions in real-time.
SQL
SQL (Structured Query Language) is a programming language used to query and manage data in relational databases. SQL performs various operations on database-stored data, including updating and removing entries, creating and altering tables, views, etc.
Deep Learning
Deep learning is a key component of data science, including statistics and predictive modeling. Deep learning is a branch of machine learning that enables a computer to do human-like tasks, including speech recognition, picture recognition, and prediction making. It enhances the ability to categorize, recognize, detect, and characterize data-based objects.
Artificial Intelligence
The main objective of Artificial Intelligence is to imitate human intelligence using computers so that machines can make intelligent judgments in complex scenarios. Artificial Intelligence is a tool for Data Science, whereas Machine Learning is a Supervised form of Artificial Intelligence and Data Science together.
Expansive Concepts
Data Science Course Syllabus
Master Python, Machine Learning, and Data Visualization. Turn raw data into actionable insights, solve real-world problems, and unlock top career opportunities in data science.
Module 1:
Introduction to Data Science
- What is Data Science
- What is Machine Learning
- What is Deep Learning
- What is AI?
- Data Analytics and its types
- Why python?
Module 2:
Python (Basics to advanced)
- Installation and google colab setup
- Understanding various python notebooks like jupyter,spider.
- Variables and data types: numbers, Boolean and strings
- Operators
- Conditional statements
- Functions
- Sequences
- Files and Classes
- Object oriented programming
- Inheritance
Module 3:
Python Packages
- Numpy
- Pandas
- Matplotlib
- Seaborn
Module 4:
Statistics
- Types of statistics
- Descriptive statistics
- Types of data
- Population and sample
- Mean, median, mode
- Regression
- Variability
- R-squared
- Correlation
- Covariance
- Distribution
- Normal distribution
- Standard normal distribution
- Central limit theorem
- Standard error
- Confidence intervals
- Z-score
- Margin of errors
- Hypothesis Testing
Module 5:
Linear Algebra Basics
- Vectors
- Matrix
Module 6:
Probability
- Basic probability
- Computing expected values
- Events
- Combinatorics
- Factorials
- Bayesian inference
- Sets and Events
- Probability distributions
- Discrete distributions
- Applications of probability in statistics
- Applications of probability in Data Science
Module 7:
Data Preprocessing
- Handling missing values
- Encoding categorical data
- Split the dataset
- Feature scaling
Module 8:
Exploratory Data Analysis
- Feature Engineering
- Data Visualization - PowerBi (Basic to Advanced)
- Different chart types
Module 9:
Machine Learning
- Introduction to ML
- Types of AI
- Stages of ML projects
- Types of ML algorithms
Module 10:
Regression
- Simple linear regression
- Multi linear regression
- Model Evaluation
- Project : Kaggle bike demand prediction
Module 11:
Classification
- Logistics Regression
- Bagging and Boosting
- SVM
- KNN
- Decision Trees
- Random Forest
- XG Boost Classifier
- Naive Bayes
- Model Evaluation
- Project : open Kaggle Competition Project
Module 12:
Clustering and Time Series Analysis
- K means Cluster
- Hierarchical Clustering
- Model Evaluation
- parameter Tunning
- Model Visualization
- Introduction to Time Series Data
- Time Series Forecasting Methods
Module 13:
Natural Language Processing (NLP)
- Introduction to NLP
- Text Preprocessing
- Bag of Words Model
- TF-IDF Model
- Sentiment Analysis
- NLP Applications (Chatbots, Text Summarization, Language Translation)
Module 14:
Model Tuning
- Hyperparameter Optimization
- Grid Search
- Random Grid Search
- Bayesian Optimization
Module 15:
Recommendation System
- Content-based filtering
- Collaborative based filtering
- Market basket Analysis
Module 16:
Databases
- SQL
Module 17:
Deep Learning
- Tensor flow and Keras
- Deep learning frame work
- CNN and RNN
Module 18:
Flask
- Creating RestFul API with Flask
- Postman / ARC Chrome
Skills you will master
- Data Science & AI Fundamentals
- Programming Logic & Problem Solving
- Data Wrangling & Cleaning
- Statistical Analysis & Hypothesis Testing
- Linear Algebra for Data Science
- Probability & Inference
- Data Preprocessing & Feature Scaling
- Exploratory Data Analysis & Visualization
- Machine Learning Algorithms & Evaluation
- Regression & Predictive Modeling
- Classification Techniques & Model Tuning
- Clustering & Time Series Forecasting
- Natural Language Processing & Sentiment Analysis
- Hyperparameter Optimization
- Recommendation Systems & Market Analysis
- Database Querying & Management
- Deep Learning Architectures (CNN, RNN)
- API Development & Model Deployment
Tools Covered
Master industry-standard AI-powered tools used in DATA SCIENCE , professional design, development, and marketing workflows.
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Microsoft Excel
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Git
-
Jupyter
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Matplotlib
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Numpy
-
Pandas
-
Python
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Scipy
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Seaborn
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SQL
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Tensor Flow
Our Course Highlights
At Web D School, we go beyond traditional visual Design courses by offering real-world, hands-on learning designed for career success. Here's what makes us different:
Beyond Traditional Training: The Web D Edge
More than training—an ecosystem of strategy, leadership, mentorship, and career success.
Strategic Foundation
Vinci BRIDGE Method - Problem-solving framework for creative professionals Learn to think strategically, not just execute tactically.
Leadership Development
MaxEdge Integration - Emotional intelligence and leadership skills Because technical skills get you hired, leadership skills get you promoted.
Lifelong Partnership
Mentor365 - One full year of post-graduation support Your career coach, portfolio reviewer, and growth partner.
Career Success
Job Zone - Dedicated placement portal with 200+ hiring partners From resume building to salary negotiation support.
Global Resources
LinkedIn Learning Access - 21,000+ courses at your fingertips Complement classroom learning with world-class content.
Continuous Learning
Visionary Voices - Monthly masterclasses with industry experts Stay ahead with insights from leaders shaping the future.
Placement related support @ Web D School
We offer dedicated placement assistance including resume building, mock interviews, and job referrals to help our students launch successful careers.
Portfolio Creation
The work you have on your portfolio is what will get you interviews in the first place. We place a high value on student projects, which is why we provide unlimited lab hours for practise. The works you create during your digital marketing course in Chennai will aid in the development of a good final portfolio. We will provide you with complete support in creating an effective portfolio.
Soft Skills Training
Soft skills like communication, adaptability, and teamwork are very important for any student who wants to get a job. In fact, we've found that many students don't get good jobs because they don't have good soft skills. So, we have an initiative where, in addition to the digital marketing course they choose, our students will also learn soft skills.
Resume Building
First impressions are important. A well-formatted, well-designed resume changes how employers regard you and greatly improves your chances of finding employment. This is your only chance to get the attention of a possible employer. Consider a resume as a way to market yourself. It describes your background, your skills, and your education so that a potential employer can quickly and easily see how your individual abilities can contribute to a company’s success.
Mock Interviews
Many students become nervous during interviews and may not respond properly even to questions they are familiar with. Taking this into account, we hold a couple of mock interviews on our campus, where a real-life interview environment is created and students are required to take part. At the completion, we provide them constructive feedback on their strengths and weaknesses.
Placement Coordination
Interviews | Feedback | More interviews etc.
We ask our digital marketing students what they're interested in, like advertising, social media, content creation, seo, etc., and then try to get them interviews with companies in those fields. We help with things like preparing for the interview based on what the company wants, setting up the interview, following up with HR to get feedback, fine-tuning the student's skills further, etc. We will continue to assist our students with job placement until they are placed in a good job.
Support that never lets you down
Get dedicated guidance and unwavering support throughout your learning journey.
Student Support
We're always here for you
Have questions or need help? Reach out to our dedicated support team anytime at info@webdschoolnull.com.
Q & A Forum
Get your doubts resolved quickly and accurately
Receive timely answers from industry experts and peers — with every response 100% verified to ensure top-quality learning.
Expert Feedback
Personalized guidance from industry professionals
Get expert feedback on your assignments and projects, plus regular live sessions to clarify all your concept-related doubts.
Batch Schedule & Investment
Enroll now—limited seats, early bird savings, and exclusive AI workshop bonuses.
Limited Seats Available
Early Bird Offer
₹5,000 offer!!!
Bonus
Free AI Design Workshop for July batch students
Frequently asked questions
Find quick answers to your course and placement queries — only at Web D School.
Data science has great potential in almost every field in India, from banking and cyber security to education, healthcare, and even small businesses. Since Data science is a very popular career choice with guaranteed large salaries, you must have a high level of education and excellent skills.
A college graduate with good communication and analytical abilities is required. One of the essential Data Science qualifications is a strong understanding of mathematical concepts.
An entry-level Data Scientist's income can range from 3L to 8L per year, depending on the student's talents and the company's compensation structure.
Ready to Design the Career?
Step into an Offline Data Science course in Chennai that combines Data Analytics & Machine Learning with hands-on projects to boost your career opportunities.
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