Data Science Course

Launch your career in the world’s most high-demand field. Master Python, Machine Learning, Data Visualization, and Artificial Intelligence through our hands-on, industry-aligned training program. Designed for beginners and professionals to become job-ready Data Scientists.
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9 modules

Covering Python, ML, DS and Deep Learning concepts.

4.8 ★

Based on 250+ Reviews

Beginner to Pro

No coding background needed

Flexible schedule

3 weeks at 10 hours a week
Learn at your own pace

👍99%

Most learners liked this course

Course Information

The Venster School of Excellence Data Science program is a comprehensive training course designed to transform freshers and non-IT professionals into skilled Data Scientists. Unlike traditional theoretical classes, our curriculum focuses on practical application, teaching you how to derive insights from raw data using Python, SQL, and Machine Learning algorithms. Located in the heart of Coimbatore (Gandhipuram), we bridge the gap between academic learning and industry requirements. Whether you are a complete beginner or looking to upskill, this course covers everything from Python programming basics to advanced Deep Learning concepts, ensuring you are ready for roles in top MNCs and startups.

Why Choose Data Science?

  • High Demand: Data Science is the #1 growing job role globally with vacancies in IT, Healthcare, Finance, and E-commerce.

  • Lucrative Salary: Entry-level Data Scientists in India earn between ₹5–10 LPA, with rapid growth potential

  • Future Proof: AI and Automation are the future; learning these skills secures your career for the next decade.

  • Opportunity to work in cross-functional teams

  • Versatile Roles: Open doors to careers as a Data Analyst, Machine Learning Engineer, AI Specialist, or Business Intelligence Developer.

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What you'll learn

  • Python Mastery: Master Python from scratch, including libraries like Pandas, NumPy, and Scikit-Learn.

  • Mathematics & Stats: Understand the core Probability and Statistics concepts behind Machine Learning models.

  • Data Visualization: Create stunning dashboards and reports using PowerBI, Tableau, and Matplotlib to tell stories with data.

  • Machine Learning: Build predictive models using Regression, Classification, Clustering, and Decision Trees.

  • Deep Learning & AI: Introduction to Neural Networks, TensorFlow, and Natural Language Processing (NLP).

  • SQL & Database: Learn to query and manage large datasets efficiently using MySQL and MongoDB.

  • Real-World Projects: Work on live case studies like Customer Churn Prediction, Stock Price Forecasting, and Spam Detection.

  • Placement Support: Dedicated resume building, mock interviews, and access to our hiring partner network.

Syllabus Outline

Comprehensive curriculum designed by industry experts

  • Python Basics: Variables, Data Types, Loops

  • Functions and Object-Oriented Programming (OOP)

  • Data Manipulation with Pandas and NumPy

  • Handling missing data and data cleaning techniques

  • Descriptive vs. Inferential Statistics

  • Probability Distributions (Normal, Binomial)

  • Hypothesis Testing (T-Test, Chi-Square, ANOVA)

  • Correlation and Covariance analysis

  • Visualizing data with Matplotlib and Seaborn

  • Tableau / Power BI: Connecting to data sources and interactive dashboards

  • Exploratory Data Analysis (EDA) best practices

  • Linear and Logistic Regression

  • Decision Trees and Random Forest

  • Support Vector Machines (SVM)

  • Model Evaluation metrics (Accuracy, Precision, Recall)

  • K-Means Clustering

  • Hierarchical Clustering

  • Principal Component Analysis (PCA) for dimensionality reduction

  • Association Rule Mining (Market Basket Analysis)

  • RDBMS concepts and Database design

  • Writing complex SQL queries (JOINS, Sub-queries, Aggregations)

  • Connecting SQL with Python

  • Introduction to Neural Networks and Perceptrons

  • Basics of TensorFlow and Keras

  • Introduction to Natural Language Processing (NLP)

  • Computer Vision basics

  • Introduction to Big Data Ecosystem (Hadoop & Spark basics)

  • Deploying ML models on cloud platforms (AWS / Azure basics)

  • Version Control with Git & GitHub

  • End-to-End Project: Build and deploy a Data Science application

  • Resume building workshop

  • Mock technical interviews

  • LinkedIn profile optimization

Course Batches

🎓 500+ Students ⭐ 4.8/5 Rating

Select a cohort to view schedule and details.

Certification Details

Industry-Recognized Certificate of Completion

Upon completing the course and final project, you will receive a Certificate of Completion from Venster School of Excellence.

Certificate Benefits:

  • Enhances resume and LinkedIn profile
  • Recognized by IT companies & startups
  • Helps in job interviews and skill validation
  • Shows practical DS and ML experience
Job Opportunities

Where Business Analyst skills can take you

📊

Data Scientist

₹6–15 LPA

Build predictive models, analyze complex datasets, and drive data-driven decision making using machine learning.

Python Machine Learning Statistics
📁

Data Analyst

₹4–9 LPA

Analyze and visualize data to uncover insights, trends, and patterns that support business decisions.

SQL Excel Power BI
📈

Machine Learning Engineer

₹8–20 LPA

Design, train, and deploy scalable machine learning models and AI systems in production environments.

Scikit-Learn TensorFlow Model Deployment
🛠️

AI / Data Engineer

₹7–18 LPA

Build data pipelines, manage big data systems, and support AI models with reliable infrastructure.

Big Data Cloud ETL
Step 1

Industries Hiring Data Scientists

IT Services, Banking & Finance, Healthcare, E-commerce, AI Startups, SaaS Companies, Retail, Telecom & Consulting.

Step 2

Job Profiles You Can Apply For

Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer, Business Intelligence Analyst.

Step 3

Average Salary Range

Entry Level: ₹4L – ₹8L
Mid-Level: ₹9L – ₹15L
Senior Roles: ₹18L+ / year

Step 4

Career Growth & Opportunities

Advance into Senior Data Scientist, AI Architect, Lead ML Engineer, Head of Data, or Analytics Manager roles.

Achievements Spotlight

Student Success Gallery

Lavanya Gowri

Struggled in college due to poor training. The Data Science course was transformational real projects, hands-on learning. Got placed immediately through placement support. Thanks a Lot Naresh Sir

Parveen Jaleel

Completed my Data Analyst course recently. The training was so good and I learnt many stuffs with hands-on training. Hearty thanks to Laya Mam for on time coordination and to my trainer Mr. Anand Sir for extra ordinary training. Thank you very much.

Mani Balan

A great place to learn and grow as a Business Analyst. Their response is quick and professional. Special thanks to Ms. Laya for her support and to Mr. Naresh for his clear, polite, and professional teaching. I had an excellent learning experience.

Brindha Appi

Got placed in a top MNC thanks to Naresh sir’s very useful one-on-one training, clear explanations, and patient doubt-clearing; They supported throughout, and this was the best institute compared to others attended.

Sankar

College training was terrible. The Business Analytics course here transformed me with practical, industry-focused skills. Landed a job instantly through placement support. Thank you, Naresh sir

Frequently Asked Questions

No. We start teaching Python programming from the very basics. The course is designed for absolute beginners.

You will learn Python, SQL, Tableau/PowerBI, Pandas, NumPy, Scikit-Learn, and TensorFlow.

Yes, we provide 100% placement support, including resume building, mock interviews, and sharing your profile with our hiring partners in Coimbatore, Chennai, and Bangalore.

Yes, we offer both offline classroom training in Gandhipuram, Coimbatore, and live online sessions for remote learners.

Yes. You will work on multiple real-world datasets and an end-to-end capstone project involving data cleaning, analysis, visualization, and machine learning model building.

Absolutely. This course is designed for fresh graduates, career switchers, and working professionals. Flexible batch timings and recorded sessions help learners balance studies with work or college schedules.

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