Introduction to Data Science with Python

Delve into foundational Python programming, explore libraries like pandas and Matplotlib, and gain insights into data management, analysis, and visualization with practical projects.

Beginner

85 Lessons

4h 10min

Certificate of Completion

Delve into foundational Python programming, explore libraries like pandas and Matplotlib, and gain insights into data management, analysis, and visualization with practical projects.

AI-POWERED

Explanations

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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

Get familiar with essential data science skills using Python for business intelligence.

About the Course

Python Essentials

Get started with essential Python data types, operators, looping, functions, and challenges.

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

Work your way through NumPy essentials, manipulating arrays, and performing Boolean masking and arithmetic operations.

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

Apply your skills to manipulate, clean, merge, and analyze data using pandas efficiently.

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

Deepen your knowledge of using Matplotlib for creating and customizing data visualizations.

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

Focus on mastering statistical data visualization using Seaborn's diverse plotting capabilities.

Data Visualization with Seaborn for Walmart Sales Projection

Project

Pandas: Data Visualization

5 Lessons

Practice using Pandas' robust data visualization tools to create professional, customized plots.

Data Visualization with Seaborn for Walmart Sales Projection

Project

Plotly: Interactive Data Visualization

3 Lessons

Try out Plotly for creating interactive visualizations and geographical plotting using maps.

Project 1: Oil vs Banks During Recession

7 Lessons

Get started with analyzing bank and oil stocks using EDA, visualizations, and moving averages.

10.

Project 2: Emergency Calls Dataset

7 Lessons

Work your way through emergency call data analysis with advanced visualization techniques.

11.

In Closing

1 Lesson

Grasp the fundamentals of data visualization, plot management, and combining datasets effectively.

Course Author

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Emma Bostian 🐞

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Evan Dunbar

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Front-end Developer

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Software Developer

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DevOps Engineer

Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

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