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All LessonsFree Lessons (4)

Introduction

About the Course

Python Essentials

Tuples, Sets and Booleans

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

Distribution Plots Challenge 1: Distribution Plots Solution 1: Distribution Plots Kernel Density Estimation Plots Categorical Plots Categorical Scatter Plots Categorical Distribution Plots Categorical Estimate Plots Combining Different Categorical Plots Axis Grids Matrix Plots Regression Plots Controlling Figure Aesthetics Quiz: Seaborn for Statistical Data Visualization

Project

Data Visualization with Seaborn for Walmart Sales Projection

Pandas: Data Visualization

Histograms and Style Sheet Plot Types Challenge: Data Visualization in pandas Solution: Data Visualization in pandas Quiz: Data Visualization in pandas

Project

Data Visualization with Seaborn for Walmart Sales Projection

Plotly: Interactive Data Visualization

Basic and Common Plots Geographical Plotting Quiz: Plotly for Interactive Data Visualization

Project 1: Oil vs Banks During Recession

Project Introduction Practice: Oil vs Banks During Recession Solution: Oil vs Banks During Recession Practice: Plotting the Data Solution: Plotting the Data Practice: Plotting the Moving Averages Solution: Plotting the Moving Averages

Project 2: Emergency Calls Dataset

Project Introduction Practice: Emergency Calls Dataset Solution: Emergency Calls Dataset Practice: Plotting the Data Solution: Plotting the Data Practice: Plotting the Grouped Data Solution: Plotting the Grouped Data

In Closing

Introduction to Data Science with Python/

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Numbers

Numbers

Let’s learn about the numeric data type in Python.

We'll cover the following...

Arithmetic operations
- Modulus
Variables
- Variable naming conventions

Python has two basic number types—integer and float. For example, $2$ is an integer, while $2.3$ is a floating-point number because it has a decimal attached to it.

Arithmetic operations

We can perform the ...