Introduction to Data Science with Python

Beginner

85 Lessons

4h 10min

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

443 Playgrounds

11 Challenges

7 Quizzes

This course includes

443 Playgrounds

11 Challenges

7 Quizzes

Course Overview

Python is one of the most popular programming languages for data science and analytics. It’s used across a wide range of industries. It’s easy to learn, highly flexible, and its various libraries can expand functionality to natively perform statistical functions and plotting. This course is a comprehensive introduction to statistical analysis using Python. You’ll start with a step-by-step guide to the fundamentals of programming in Python. You’ll learn to apply these functions to numerical data. You’ll fir...Show More

What You'll Learn

A deep familiarity with various data functions of Python

The ability to visualize statistical data using Matplotlib and Plotly libraries

A working knowledge of the pandas and NumPy libraries for data cleaning and analysis

A strong proficiency in the basics of data science and the Python programming language

What You'll Learn

A deep familiarity with various data functions of Python

Course Content

Introduction

About the Course

Python Essentials

Numbers Strings Lists Dictionaries Tuples, Sets and Booleans Comparisons Loops Functions Lambda Expression, Map and Filter Challenge 1: Python Essentials Solution: Python Essentials Challenge 2: Python Essentials Solution 2: Python Essentials Quiz: Python’s Essentials

NumPy: Data Analysis

NumPy Arrays Array Methods and Attributes Indexing and Slicing Broadcasting Fancy Indexing Boolean Masking Arithmetic Operations Challenge: NumPy Essentials Solution: NumPy Essentials Quiz: NumPy for Data Analysis

Pandas: Data Analysis

Data Structures in pandas DataFrame Hierarchical Indexing Handling Missing Data Combining and Merging Datasets The GroupBy Method Useful Methods and Operations

Challenge 1: Pandas Essentials Solution 1: pandas Essentials Challenge 2: Pandas Essentials Solution 2: Pandas Essentials Quiz: pandas for Data Analysis

Matplotlib: Data Visualization

Basic Plotting Matplotlib Object-Oriented Approach Figure size, aspect ratio and DPI

Plot Types and Customizations Challenge 1: Matplotlib for Data Visualization Solution 1: Matplotlib for Data Visualization Challenge 2: Matplotlib for Data Visualization Solution 2: Matplotlib for Data Visualization Advance Plotting Options Using Matplotlib Coloured and 3-D Graphs Quiz: Matplotlib for Data Visualization

Seaborn: Statistical Data Visualization

14 Lessons

Pandas: Data Visualization

5 Lessons

Plotly: Interactive Data Visualization

3 Lessons

Project 1: Oil vs Banks During Recession

7 Lessons

10.

Project 2: Emergency Calls Dataset

7 Lessons

11.

In Closing

1 Lesson

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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