Data Science

Python for Data Science

Python for Data Science teaches you to analyze, visualize, and interpret data using Python. Learn core programming, work with libraries like Pandas and NumPy, and build real-world projects to gain practical data skills.

4.8 200 enrolled 4 months 150 Lessons

4.8 / 5.0 — Exceptional

Python Programming Data Analysis Pandas & NumPy Data Visualization Machine Learning AI Fundamentals Matplotlib & Seaborn Project Deployment

₹9,999

₹16,000 — 38% OFF

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Offline And Online Class
Downloadable resources
Certificate of completion
Lifetime access
1:1 mentor sessions
Job placement support

Overview Curriculum Instructor Reviews

What You'll Learn

The Python Data Science Course is designed to help you master data analysis, data visualization using Python. You will learn essential tools like Pandas, NumPy, and Matplotlib to work with real-world data and build intelligent solutions. This course includes hands-on projects, real datasets, and industry-focused training to make you job-ready for roles like data analyst and data scientist learning engineer. Perfect for beginners and aspiring professionals looking to build a career in data science and analytics.

Skills You'll Gain

Proficiency in Python programming for data analysis Expertise in data manipulation with Pandas & NumPy Data visualization skills using Matplotlib & Seaborn Understanding of statistics and probability for data insights Ability to build predictive models with scikit-learn Hands-on experience with real-world datasets and projects Preparedness for Python & Data Science interviews 🚀

Requirements

Basic Computer Operation
A laptop
Dedication to complete 2–3 hours of learning per day

150 Lessons • 42 Hours • 5 Sections

Python Basics & Syntax

Variables, Data Types & Operators

Functions, Loops & Conditional Statements

File Handling & Error Handling

Quiz: Python Fundamentals

Introduction to Pandas & NumPy

DataFrames, Series & Indexing

Data Cleaning & Transformation

Aggregation & Grouping

Project: Sales Data Analysis

Matplotlib Basics

Seaborn for Statistical Plots

Customizing Charts & Graphs

Interactive Visualizations

Project: Data Visualization Dashboard

Introduction to Machine Learning

Supervised vs Unsupervised Learning

Regression & Classification Models

Model Evaluation & Metrics

Project: Predictive Model on Housing Data

Project: Stock Price Prediction

Project: Customer Segmentation with Clustering

Project: Sentiment Analysis on Social Media Data

Final Assessment & Data Science Interview Prep

Kaushal Rao

Software Engineer • 25 yrs experience for It Field

4.9 instructor rating 18,400 students 6 courses

I am a passionate Software Engineer and mentor with 25+ years of experience in the IT field. Through K2 Infocom, he helps students build strong technical skills with practical, project-based learning. His courses are designed for beginners as well as advanced learners who want to master modern web development, software engineering, and industry-ready concepts. Join his courses to gain real-world knowledge, hands-on experience, and the confidence to grow your career in technology.

This course is amazing for anyone starting with Python and Data Science. The concepts are explained clearly, from basics to advanced topics like Pandas, NumPy, and Machine Learning. The hands-on projects helped me build real-world skills and boosted my confidence. Highly recommend for beginners and intermediate learners!

Khushi Patel

Backend Developer

A complete package for learning Python for Data Science. The lessons are structured well, and the practical projects make it easy to understand data analysis and visualization. I especially loved the Machine Learning section and the final project, which gave me real industry exposure. Great course!

Jay

Backend Developer