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Why Data Science Mastery From Coding Superstar?

We turn complex concepts into easy-to-learn steps with hands-on projects, interview prep, and career guidance.

Starts from scratch — perfect for freshers & career switchers

Real datasets from e-commerce, finance, healthcare, etc.

Lifetime access + flexible batch schedules

Project-first learning with business problem statements

Focus on Python + Stats + Machine Learning

Data Science Mastery is a dynamic and rewarding career path
that offers excellent career prospects and opportunities for growth.

Roles You Can Apply For After Data Science Mastery

1
Data Analyst
2
Data Scientist – Junior to Mid-Level
3
Business Analyst with DS tools
4
ML Engineer (with growth path to AI)
5
BI Developer
6
Other Relevant Profiles

Why Data Science Mastery Certification Course from Coding Superstar?

Best mentorship

Industry expert mentors

Fast doubt clearing

Superior guidance

24x7 help

Instant help

Full-time support from qualified reps

All sorts of queries are answered professionally

Effective Learning

Learn through live projects

Quizzes and assignments

Lectures Videos

Lifetime Access

Lifetime free updates

Limitless access to the course content

Course access doesn’t expire

Certification

Coding Superstar certificate of training

Like what you hear from our learners?

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BOOK YOUR FREE DEMO NOW

Lifetime access

Lifetime access to updated recordings and 1-on-1 mentoring for Python and stats

Resume & LinkedIn

Personalized resume & LinkedIn optimization

Projects

Real-world datasets and portfolio projects

Interview preparation

Interview preparation with real case studies

Data Science Mastery Certification Curriculum

Curriculum Designed by Experts

What You’ll Learn (In Just 8–10 Weeks)

Module 1: Introduction to Data Science
What is Data Science & its real-world use
Roadmap & tools used in the industry
The role of a Data Scientist vs Analyst vs ML Engineer
Module 2: Python for Data Science
Python programming from scratch
Working with Pandas, NumPy for data handling
Data structures, functions, list comprehensions
Module 3: Data Cleaning & Visualization
Dealing with missing values & outliers
Feature engineering
Matplotlib, Seaborn for data visualization
Module 4: Statistics & Exploratory Data Analysis (EDA)
Mean, Median, Mode, Std Deviation
Probability, distributions, correlation
Hypothesis testing, ANOVA
Module 5: Machine Learning for Data Science
Regression, Classification models
Decision Trees, Random Forest, KNN
Model evaluation & tuning
Module 6: Real-Time Projects + Interview Prep
E-commerce customer behavior prediction
Credit risk analysis
Sales forecasting or churn prediction
Resume prep, mock interviews, and project presentation tips

Program Fees

₹ 29999 ₹ 45000

Your total savings: ₹ 15001


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EMI & Financing Options Available.
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Coding superstar helps many professionals to acquire new skills and knowledge. With a plethora of variety of the courses offered and a passionate team of trainers and instructors, make your learning experience easy and fun. The course is affordable, and you can check all the schedules of classes and sessions with their proves on our website. We believe in self-growth and extend all the strategies to learn new skills and enhance self-growth. This global approach helps the new professionals to elevate to the next step in their career.

Our Alumni Are Shaping the Future at Global Tech Giants

From beginners to job-ready professionals—our practical, project-based training has helped thousands land roles at Microsoft, Accenture, Deloitte, and more. You could be next.

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Frequently Asked Questions (FAQs) – Data Science Mastery

Who should take this course?
– Freshers looking to enter the data world – Working professionals from IT or non-IT backgrounds – Manual testers, analysts, or engineers aiming for data roles – Anyone wanting to become a data analyst or data scientist
Do I need to know coding or statistics before joining?
Not at all. We teach both Python and statistics from scratch, using real-life examples and projects
What tools and technologies are covered?
– Python – Pandas, NumPy – Matplotlib, Seaborn – Scikit-learn – Jupyter Notebooks – Git & GitHub for version control
Will I work on real datasets?
Yes — 2 to 3 end-to-end projects will be done using real-world data from domains like finance, e-commerce, and healthcare
What kind of support is available during the course?
– 1-on-1 mentorship – Live doubt clearing – Resume & LinkedIn profile building – Interview preparation – Lifetime access to sessions
How long is the course and what’s the timing?
It’s an 8–10 week course. Flexible batches on weekdays & weekends. Each session lasts 90–120 minutes
What are the job outcomes after this program?
Our students have cracked roles in Data Analytics, Data Science, and ML with packages ranging from 6 LPA to 25+ LPA
Do you provide a certificate?
Yes. After completing the course and final project, you will get a professional certificate you can showcase on LinkedIn and resumes
What if I miss a class?
All sessions are recorded. You’ll also have access to backup classes or batch shifts