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Python for Data Science

Learn Python programming with a focus on data manipulation, analysis, and visualization using pandas and matplotlib.

20 lessons12 hours4.99,234 enrolled
40%
8 of 20 lessons completed
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Course Content

Python Setup & Environment

Install Python and set up your development environment.

video5 min+50 XP
Review

Variables and Data Types

Learn about strings, integers, floats, and booleans.

interactive6 min+75 XP
Review

Lists and Dictionaries

Work with Python's core data structures.

interactive7 min+75 XP
Review

Control Flow

Master if statements, loops, and conditionals.

interactive8 min+75 XP
Review

Functions in Python

Write reusable code with functions and parameters.

interactive7 min+75 XP
Review

Introduction to NumPy

Get started with numerical computing in Python.

video6 min+50 XP
Review

NumPy Arrays

Create and manipulate NumPy arrays efficiently.

interactive8 min+100 XP
Review

Pandas DataFrames

Load and explore data with pandas DataFrames.

interactive8 min+100 XP
Review
9

Data Selection in PandasUp Next

Select, filter, and slice data like a pro.

interactive7 min+75 XP
Start
10

Data Cleaning with Pandas

Handle missing data and clean datasets.

interactive8 min+100 XP
Preview
11

Grouping and Aggregating

Use groupby for powerful data analysis.

interactive7 min+75 XP
Preview
12

Merging DataFrames

Combine multiple datasets with joins.

interactive6 min+75 XP
Preview
13

Introduction to Matplotlib

Create your first visualizations in Python.

video6 min+50 XP
Preview
14

Advanced Matplotlib

Customize plots with styles and subplots.

interactive7 min+75 XP
Preview
15

Seaborn for Statistics

Create statistical visualizations with Seaborn.

interactive6 min+75 XP
Preview
16

Exploratory Data Analysis

A complete EDA workflow from start to finish.

interactive10 min+150 XP
Preview
17

Introduction to Machine Learning

Understand ML concepts and scikit-learn.

video8 min+75 XP
Preview
18

Linear Regression

Build your first predictive model.

interactive9 min+100 XP
Preview
19

Classification Models

Classify data with logistic regression.

interactive8 min+100 XP
Preview
20

Data Science Project

Complete a real-world data science project.

interactive15 min+200 XP
Preview
What You'll Learn
Core concepts and fundamentals
Hands-on practical exercises
Industry best practices
Real-world applications
Problem-solving techniques
Portfolio-ready projects