Python for Data Science

Become a Data Scientist.

Master Python, Data Analysis, Machine Learning, Statistics, NumPy and Pandas through real-world projects.

Duration
6 Weeks
Skill Level
Beginner
Projects
8 Real-world
Certificate
Industry Recognized
Placement
100% Support
Language
English
Students collaborating on data science projects

Curriculum Documentation

A comprehensive, step-by-step learning path from basics to advanced Machine Learning. Designed for practical mastery.

Learning Outcomes

Write foundational Python scripts, understand basic data types, control flow, and functions.

Mini Project

Build a Text-based Adventure Game or Calculator.

Topics Covered
  • 1.Introduction to Programming (What, Why, Applications)
  • 2.Installing Jupyter Notebook & First Python Program
  • 3.Variables and Data Types (int, float, string, boolean)
  • 4.Input & Output (input(), print(), Type Conversion)
  • 5.Operators (Arithmetic, Relational, Logical, Assignment)
  • 6.Conditional Statements (if, elif, else, Nested)
  • 7.Loops (for, while, break, continue, pass)
  • 8.Strings (Indexing, Slicing, Methods)
  • 9.Functions (Creation, Parameters, Return Values)
  • 10.Modules (math, random, datetime)
  • 11.Practice Session & Assessment

Meet Your Instructor

Learn directly from an industry expert who has built and deployed machine learning models at scale.

Dr. Arjun Sharma

Ex-Data Scientist at Amazon

"My teaching philosophy is simple: learn by doing. I've stripped away the unnecessary theoretical jargon to focus on what actually matters in the industry. We will build real projects, solve real problems, and write code that you can immediately use in your career."

10+ Years Experience
In Data Science & AI
5,000+ Students
Mentored globally
Top AI Researcher
5 Published Papers
Expertise
Python, PyTorch, TF, GenAI

Build Real-World Portfolio

Theory alone won't get you hired. You will build 8+ industry-grade projects that you can confidently showcase to recruiters on your resume.

Netflix Recommendation Engine

Netflix Recommendation Engine

Build a collaborative filtering system that suggests movies based on user viewing history and preferences.

PythonPandasScikit-Learn
DifficultyAdvanced
Duration2 Weeks
IPL Data Analytics Dashboard

IPL Data Analytics Dashboard

Analyze years of cricket data to find player performance trends, win probabilities, and team statistics.

PythonMatplotlibSeaborn
DifficultyIntermediate
Duration1 Week
Customer Segmentation

Customer Segmentation

Use K-Means clustering to segment retail customers based on purchasing behavior for targeted marketing.

PythonNumPyScikit-Learn
DifficultyIntermediate
Duration1 Week
House Price Prediction

House Price Prediction

Develop a linear regression model to predict real estate prices using historical housing data features.

PythonPandasScikit-Learn
DifficultyBeginner
Duration1 Week

Ready to Start Your
Data Science Journey?

Master Python, build an industry-ready portfolio, and launch your career in data science with our expert-led program.

500+
Students Trained
4.9/5
Student Rating
100%
Career Support