⭐⭐⭐⭐⭐ 6987 Ratings | Live Projects | Affordable Fees | 100% Placement Support
Looking for the Best
data science training in Chennai? Top Tech Developers offers a practical, career-focused
data science course designed to help you gain real-world expertise in handling data,
building models, and generating insights.
This course takes you from the fundamentals to advanced techniques using tools like Python,
SQL, Pandas, NumPy, Scikit-learn, Tableau, and Power BI. You'll work on real-world datasets,
build ML models, and get expert mentorship throughout. This course prepares you for roles
such as Data Scientist, Data Analyst, Business Analyst, and more, with placement assistance
and career support.
This course covers
Python programming, data analysis, machine learning, statistics, data visualization, and AI
tools used in the industry today. You'll work on live projects and case studies guided by
expert trainers to build confidence and technical depth.
Data science is one
of the most in-demand fields, offering excellent career opportunities in analytics, AI, and
machine learning. If you're aiming to work with data, build predictive models, or solve
real-world business problems, this course is the perfect starting point.
At Top Tech Developers, we offer hands-on data science training in Chennai focused on
real-time projects and practical applications. The course begins with the fundamentals of
Python programming and statistics, then moves into data analysis, machine learning, data
visualization, and deep learning using industry-standard tools and libraries.
By the end of this data science course in Chennai, you'll be able to handle large datasets,
build intelligent models, and make data-driven decisions with confidence.
Begin your journey with Python programming, the backbone of modern data science. Learn variables, data types, loops, functions, and conditional statements. Dive into NumPy for numerical computing and Pandas for handling dataframes and datasets. You'll also practice cleaning messy data, handling missing values, and performing feature engineering — essential skills to prepare data before model building. With hands-on coding labs, you’ll master Python quickly and confidently.
A strong grasp of statistics and probability is key to uncovering insights from data. In this module, you’ll learn descriptive statistics, measures of central tendency, dispersion, probability distributions, hypothesis testing, and correlation analysis. You’ll also perform exploratory data analysis (EDA) to summarize datasets visually and statistically. Tools like Matplotlib and Seaborn help you plot patterns, spot outliers, and build your data storytelling skills.
Get hands-on with supervised and unsupervised machine learning algorithms using Scikit-learn. Learn about Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, Naive Bayes, and K-Means clustering. Understand model training, testing, evaluation, and optimization. You’ll work on predictive models like sales forecasting, churn prediction, or spam detection. This practical approach ensures you're job-ready for AI and ML roles.
Learn how to present insights using data visualization tools like Tableau, Power BI, and Python libraries such as Matplotlib and Plotly. You’ll create dashboards that showcase KPIs, trends, and anomalies. This module helps you communicate complex results to stakeholders and decision-makers. You'll also explore storyboarding and real-time data integration — crucial skills in business analytics.
Put your skills into action with real-time projects like customer segmentation, movie recommendation systems, fraud detection, and HR analytics. Get guided support on building a strong data science portfolio, preparing your resume, and cracking interviews. You'll receive mock interview sessions, one-on-one mentoring, and placement support until you land a job. This final module ensures you’re confident to enter the job market as a skilled data professional.
💫 Introduction to data science and setting up the environment.
💫 Python programming basics for data analysis.
💫 Data wrangling using NumPy and Pandas.
💫 Data visualization with Matplotlib and Seaborn.
💫 Exploratory data analysis and statistical concepts.
💫 Supervised and unsupervised machine learning algorithms
💫 Model building, evaluation, and performance tuning.
💫 Introduction to deep learning and neural networks.
💫 Working with real-world datasets and industry case studies.
💫 Project deployment using tools like Streamlit or Flask.
💫 Rated No.1 by 6100+ learners – trusted by students, freshers, and working professionals.
💫 Learn from experienced data scientists with 10+ years of industry knowledge.
💫 100% placement support with unlimited interview chances.
💫 Work on real-time data science projects and case studies.
💫 Flexible class timings – available in both online and offline modes.
💫 Affordable fees with an updated, job-focused syllabus.
💫Learn Python, Pandas, NumPy, Machine Learning, and AI tools.
💫 Get help with resume building and interview preparation.
January-Feburary | (Mon-Fri) | 9:00 AM (IST)(Class 2Hr)/Per Session |
March-April | (Mon-Fri) | 9:00 AM (IST)(Class 2Hr)/Per Session |
May-June | (Mon-Fri) | 9:00 AM (IST)(Class 2Hr)/Per Session |
July-August | (Mon-Fri) | 9:00 AM (IST)(Class 2Hr)/Per Session |
September- October | (Mon-Fri) | 9:00 AM (IST)(Class 2Hr)/Per Session |
November- December | (Mon-Fri) | 9:00 AM (IST)(Class 2Hr)/Per Session |
Top Tech
Developers offers a practical data science certification course in Chennai that helps you build
strong skills in data analysis, machine learning, and AI. You will learn Python, Pandas, NumPy, data
visualization, and real-time project work.
Our trainers are experienced professionals who teach using real-world datasets and live examples, so
you understand how data science is used in business and tech. After completing the course, you will
receive a certificate that adds value to your resume and supports your job search.
This course is ideal for students, job seekers, and professionals who want to start or grow their
career in data science and analytics.
⭐⭐⭐⭐⭐ Ratings
I was completely new to data science, but the trainer explained Python and ML in a very simple way. Now I can work with real datasets and create models on my own.
⭐⭐⭐⭐⭐ Ratings
The live projects and case studies helped me understand how data science is used in real companies. I’ve already added them to my portfolio
⭐⭐⭐⭐⭐ Ratings
The trainer was super helpful and cleared all my doubts patiently. I got full support in resume building and interview preparation, too.
⭐⭐⭐⭐⭐ Ratings
Great learning experience! I learned data analysis,
Pandas, and machine learning step by step. The placement support team is also very active.
⭐⭐⭐⭐⭐ Ratings
This course made data science easy to learn. The flexible timings helped me manage along with my job, and the real-time projects gave me the confidence I needed.