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.
Why #Web D School?
We're committed to helping every student build a meaningful, successful career. We don’t just teach — we walk with you every step of the way, from your first design to your first job.
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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.
Master Data Science with the Best
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.
Web D
Course Details in a Nutshell
A quick snapshot of everything you'll learn in this course.
5 MONTHS
Course Duration
75 SESSIONS OVERALL
In-Depth Training
90 MINUTE CLASSES
On Alternative Days
4 HOURS ON SUNDAY
Weekend Classes
UNLIMITED LAB HOURS
Project Based Training
END-TO-END PLACEMENT SUPPORT
Final Portfolio Creation
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.
Trusted by Leading Companies
Placement Record
Showcasing the top companies where our students have been successfully placed.
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Expansive Concepts
Data Science Course Syllabus
Explore the complete curriculum and know exactly what you'll master.
Expansive Concepts
Data Science syllabus covers expansive concepts.
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.
- What is Data Science
- What is Machine Learning
- What is Deep Learning
- What is AI?
- Data Analytics and its types
- Why python?
- 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
- Numpy
- Pandas
- Matplotlib
- Seaborn
- 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
- Vectors
- Matrix
- 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
- Handling missing values
- Encoding categorical data
- Split the dataset
- Feature scaling
- Feature Engineering
- Data Visualization - PowerBi (Basic to Advanced)
- Different chart types
- Introduction to ML
- Types of AI
- Stages of ML projects
- Types of ML algorithms
- Simple linear regression
- Multi linear regression
- Model Evaluation
- Project : Kaggle bike demand prediction
- Logistics Regression
- Bagging and Boosting
- SVM
- KNN
- Decision Trees
- Random Forest
- XG Boost Classifier
- Naive Bayes
- Model Evaluation
- Project : open Kaggle Competition Project
- K means Cluster
- Hierarchical Clustering
- Model Evaluation
- parameter Tunning
- Model Visualization
- Introduction to Time Series Data
- Time Series Forecasting Methods
- Introduction to NLP
- Text Preprocessing
- Bag of Words Model
- TF-IDF Model
- Sentiment Analysis
- NLP Applications (Chatbots, Text Summarization, Language Translation)
- Hyperparameter Optimization
- Grid Search
- Random Grid Search
- Bayesian Optimization
- Content-based filtering
- Collaborative based filtering
- Market basket Analysis
- SQL
- Tensor flow and Keras
- Deep learning frame work
- CNN and RNN
- Creating RestFul API with Flask
- Postman / ARC Chrome
Software You'll Master
Tools Covered
Master industry-standard tools that power professional design, development, and marketing workflows.
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Microsoft Excel
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Git
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Jupyter
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Matplotlib
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Numpy
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Pandas
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Python
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Scipy
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Seaborn
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SQL
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Tensor Flow
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Personalised
Learning Path
A tailored learning path designed for career goals.
From Classroom to Career
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.
Web D
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:
Unlimited Lab Hours
Doubt Clearance Sessions
Soft Skills Training
In-house Library
Highly skilled & Friendly Trainers
Interview Guidance & Placement Support
Testimonials
What our Students Say!
Hear from our students as they share their learning experiences and career growth. Real stories, real impact—from beginners to professionals.
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.
Design Your Future Today!
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Learn how to get started
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.
We talk to students who want to take a Data science course to find out what motivates them in this field. Math is integral to Data Science, so we expect the student to be good at it. One would also need a background in technical education and good communication skills.
We have taught students for more than seven years and have trained more than 2,500 people. All of our trainers have at least five years of experience in the field. We give our students many academic tasks as part of a teaching method called SOAP (Student Output Assessment Plan). We have a End-to-End Placement Support.
Please call +91 97913 33350 to talk to our academic counselor about fees. We don't give refunds because we limit the number of students in a batch, and it would be impractical to let a student drop out of such a small batch.
All of our sessions (both online and in-person classes) are recorded, and you'll get a recording of each session to help you learn or look back on.
Our Data science instructors have a minimum of five years of professional experience. Their real-time project experience would greatly help their students because they could share more in-depth knowledge. All our Data science trainers are requested to be friendly with their students and help them as much as they need until they finish the course.
We only give demo classes to students who want to take online courses. The duration of the demo lessons will be between 30 and 45 minutes.
We create tasks that are a lot like real-time projects and would give our Data science students the same professional experience. Our trainers have real-world experience, so students who train with them will learn a lot.
We offer End-to-End Placement Support but make no guarantees on placement. Because placements depend on students' discipline and ability, it is impossible to guarantee placements.
