Data Science Course in Chennai
Online & Classroom Training Modes
Accelerate your career with our Data Science Training in Chennai at Skillfort Software Training & Placements. Gain in-depth knowledge of data analysis, machine learning, statistical modeling, and data-driven decision-making to stand out in today’s tech industry.
Our Data Science Certification Program in Chennai is designed with real-time projects, practical assignments, and hands-on training to help you master essential skills. With experienced trainers and dedicated placement assistance, you’ll be fully prepared for top data science roles.
Join our Offline Data Science Course in Chennai and explore our detailed curriculum to begin your journey toward a successful tech career.
We Tie-Up with 1000+ Leading IT and MNC Companies
Objectives of Data Science Training in Chennai
Our Data Science Offline Training in Chennai is designed to help learners build strong foundations in programming, analytics, statistics, and machine learning. The major goals of this training program include:
Master Data Analysis Techniques
Gain the ability to explore, analyse, and interpret structured and unstructured data to uncover insights that support better business decisions.
Develop a Solid Understanding of Machine Learning
Learn how to implement machine learning algorithms, evaluate models, and create predictive systems for real-world applications.
Work Effectively with Big Data
Understand how to manage and process large volumes of data using modern big-data platforms and tools.
Build Data Visualization Expertise
Learn to visualize and present data using tools such as Tableau, Power BI, and Matplotlib, enabling you to deliver insights clearly to stakeholders.
Apply Data Science Concepts to Real Business Problems
Engage in hands-on projects and case studies to gain practical experience in solving real-world data challenges.
Become Career-Ready
Gain industry-relevant skills — from data wrangling to model deployment — preparing you for roles in data analytics, AI, and machine learning
Career Scope After Data Science Training in Chennai
Increasing Hiring Trends
Companies across all sectors are rapidly adopting data-driven strategies, leading to a massive demand for trained data professionals. Completing this course positions you for a strong career in this growing field.
Wide Range of Career Paths
Data science skills unlock opportunities in:
- IT & Software
- Healthcare
- Finance
- Retail
- Manufacturing
- E-commerce
- Research & Development
Roles vary from data analysts to AI engineers.
High-Paying Job Roles
Data professionals receive excellent salaries due to the specialized nature of the field. With continued experience and project work, earning potential increases significantly.
Future-Proof Skills with AI & ML
As industries move toward automation and intelligent systems, data scientists play a key role in implementing machine learning and deep learning solutions.
Opportunities Across the Globe
Data Science is one of the most in-demand skills internationally, offering chances to work with overseas clients, remote teams, and global enterprises.
Lifelong Learning & Growth
The field evolves constantly, giving you constant opportunities to explore new technologies and stay relevant in the competitive job market.
Updated Data Science Course Syllabus
Below is a fully structured curriculum designed to build complete Data Science expertise:
- What is Data Science?
- Role of a Data Scientist
- Industry Applications
- Introduction to R
- Data Structures in R
- Data Manipulation & Cleaning
- Importing and Exporting Data
- Descriptive & Inferential Statistics
- Correlation & Covariance
- Probability Concepts
- Hypothesis Testing
- Graphs & Charts in R
- Dashboard Creation
- Tableau Basics
- Power BI Essentials
- Supervised & Unsupervised Learning
- ML Workflow
- Key Terminologies
- Simple & Multiple Regression
- Logistic Regression
- Evaluation Metrics
- Association Rule Mining
- Apriori Algorithm
- Trend & Seasonality
- ARIMA Models
- Predictive Forecasting
- CART & ID3
- Entropy & Gini Index
- K-Means
- Hierarchical Clustering
- Visual Stories
- Data Blending
- Advanced Dashboards
- Real-time business project execution
- Model building & deployment practice
Projects You Will Work On
Project 1: Stock Market Trend Prediction
Develop prediction models using time series and regression methods to analyze stock movements.
Project 2: Financial Fraud Detection
Build a classification system to detect suspicious and fraudulent transactions.
Project 3: Deep Learning Image Recognition
Train a neural network model to categorize images and detect objects.
Project 4: Customer Churn Forecasting
Predict customer drop-offs to help companies increase retention rates.
Who Can Learn Data Science?
This course is suitable for:
- Students aiming for careers in analytics
- Working professionals planning a career switch
- Software engineers upgrading to AI/ML
- Data analysts expanding skillsets
- Fresh graduates aspiring to enter the tech industry
Prerequisites to Join the Data Science Course
No mandatory prerequisites. However, having the following helps:
- Basic understanding of programming
- Knowledge of math & statistics
- Analytical thinking skills
- Familiarity with SQL (optional)
- Willingness to learn new tools
Our training starts from the basics, making it suitable for beginners.
Job Roles After Completing Data Science Training
Data Scientist
- Analyse and model complex datasets to help companies make smart decisions.
Data Analyst
- Prepare reports, dashboards, and insights using analytics tools.
Machine Learning Engineer
- Design and deploy ML-based models for real-world applications.
Data Engineer
- Develop data pipelines and improve data processing workflows.
Business Intelligence Analyst
- Create dashboards and visualizations to support business growth.
AI/ML Research Analyst
- Work on advanced AI algorithms and innovative research projects.
Have Queries? Ask our Experts
- +91 93449 93939
Quick Enquiry
This Course Includes
- Free Demo Session
- 0% Interest EMI Options
- Complimentary Soft Skills & Placement Training
- Partnerships with 500+ MNCs & Mid-Level Companies
- 100% Placement Support at No Extra Cost
- Course Completion Certificate
- Training with Real-Time, Industry-Based Projects
Placement Eligibility Guidelines
To help students get placed quickly after completing the course, our placement team follows the criteria below:
- Complete at least 80% of the coursework to qualify for interview scheduling.
- Finish 2–3 real-time projects in your selected course to clear technical interview rounds confidently.
- Attend placement training sessions from the beginning of the course for maximum benefit.
- Practice resume building, aptitude skills, interview skills, and personal branding regularly.
- Utilize the internship training program at SLA for the complete technical skills.
Have Queries? Ask our Experts
- +91 93449 93939
Skillfort Distinctive Placement Approach
Placement Support Process
- Soft skills & interview training
- Resume and portfolio building
- One-on-one career counseling
- Equal placement opportunities for all students
- Ongoing placement support even after course completion
Data Science Course FAQ
Overview
The Introduction module lays the foundation for your Data Science learning journey. You will understand what Data Science is, how it works, and why it has become one of the most demanded career paths in the world.
What You Will Learn
- What is Data Science?
- Difference between Data Analysis, Data Science & Machine Learning
- Real-world applications across industries
- Tools & technologies used in Data Science
- Skills required to become a Data Scientist
Key Takeaways
By the end of this module, you will clearly understand the core concepts, trends, and career scope in Data Science, helping you prepare for advanced modules ahead.
Overview
This module covers the fundamentals of R Programming, which is one of the most widely used tools for statistical computing and data analysis.
What You Will Learn
- Installing and setting up R & RStudio
- Understanding variables and assignments
- Data types: numeric, integer, character, logical
- Operators in R: arithmetic, relational, logical
- Conditional statements: if, else, if-else
- Looping statements: for loop, while loop, repeat
- Basic coding practices
Key Takeaways
This module helps you build a strong foundation in R so you can handle data, write simple programs, and understand the basics of data manipulation.
Overview
Statistics is the backbone of Data Science. This module introduces you to essential mathematical and statistical concepts required for data-driven analysis.
What You Will Learn
- Importance of statistics in Data Science
- Types of data: numerical, categorical, continuous, discrete
- Measures of central tendency (mean, median, mode)
- Measures of dispersion (variance, standard deviation, range)
- Introduction to probability
- Probability distributions
- Hypothesis testing basics
- Real-life scenarios where statistics is applied
Key Takeaways
You will build a strong understanding of statistical fundamentals, enabling you to analyze data and interpret results confidently.
Overview
This module introduces you to practical data manipulation techniques in R. You will work with datasets, clean them, and prepare them for analysis.
What You Will Learn
- Importing data from CSV, Excel, and databases
- Understanding data frames, lists, matrices, and vectors
- Data cleaning: handling missing values, outliers, formatting
- Sorting and filtering data
- Subsetting data
- Grouping and summarizing data
- Introduction to commonly used R packages like tidyverse