Coding to analyze and visualize data: a class of examples​

Course Curriculum

Lecture 1: Course Trailer

Chapter 1: Python Introduction

Lecture 1: Python Introduction

Chapter 2: Basics of Programming

Lecture 1: Variables

Lecture 2: Functions

Lecture 3: If Statements

Chapter 3: Lists (Python Fundamentals)

Lecture 1: Lists Introduction

Chapter 4: Loops (Python Fundamentals)

Lecture 1: For Loops Introduction (with Examples)

Lecture 2: Getting Familiar with While Loops

Lecture 3: Breaking and Continuing In Loops

Lecture 4: Making Shapes with Loops

Lecture 5: Nested Loops & Printing Tic-Tac-Toe

Chapter 5: Sets and Dictionaries (Python Fundamentals)

Lecture 1: Understanding Sets and Dictionaries

Lecture 2: EXAMPLE: Inventory List

Chapter 6: Input and Output (Python Fundamentals)

Lecture 1: Implementing Input and Output

Lecture 2: Integrating File Input and Output

Lecture 3: EXAMPLE: Tic-Tac-Toe Game

Lecture 4: EXAMPLE: Tic-Tac-Toe Game Continued

Lecture 5: EXAMPLE: Writing Data to File

Lecture 6: EXAMPLE: Reading Data from File

Lecture 7: Statistics with Participant Data from File

Chapter 7: Classes (Python Fundamentals)

Lecture 1: Classes Introduction

Lecture 2: Inheritance and Classes

Lecture 3: EXAMPLE: Pet Class

Lecture 4: EXAMPLE: Dog Class

Lecture 5: EXAMPLE: Cat Class

Lecture 6: EXAMPLE: Adding Humans to Pets

Chapter 8: Importing (Python Fundamentals)

Lecture 1: Importing and the Random Library

Lecture 2: Another Way to Import & Use Lists with Random

Lecture 3: How to Use the Time Library

Lecture 4: Introduction to the Math Library

Lecture 5: EXAMPLE: Make a User-Guessing Game with Random

Lecture 6: Making our Computer Guess a Random Number

Chapter 9: EXAMPLE: Make a Python Blackjack Game

Lecture 1: Creating and Shuffling the Deck

Lecture 2: Creating the Player Class

Lecture 3: Expanding the Player Class

Lecture 4: Implementing a Bet and Win

Lecture 5: Implementing Player Moves

Lecture 6: Running the Game (Final)

Chapter 10: Error Handling (Python Fundamentals)

Lecture 1: Getting Started with Error Handling

Chapter 11: –Pandas–

Lecture 1: Installing Pandas

Lecture 2: Setting up Pandas

Chapter 12: Datastructures

Lecture 1: Creating a DataFrame

Lecture 2: Sorting and Series

Lecture 3: Expanding a DataFrame

Chapter 13: Manipulating DataFrames

Lecture 1: Getting Values & Handling NaN Values

Lecture 2: Dropping Rows and Columns

Chapter 14: Reading and Writing Data

Lecture 1: Reading from CSV

Lecture 2: Writing to CSV

Chapter 15: Analytical Approaches to Data

Lecture 1: Starting with an Analysis

Lecture 2: Locating Data by Labels

Lecture 3: Statistical Description of Data

Lecture 4: Histogram Plots in Pandas

Lecture 5: Starting an Analysis of all our Data

Lecture 6: Continuing an Analysis of all our Data

Chapter 16: –Matplotlib–

Lecture 1: Installing Matplotlib

Lecture 2: Matplotlib Introduction

Chapter 17: Matplotlib Basics

Lecture 1: Introduction, Setup and Installation

Lecture 2: Creating our First Scatter Plot

Lecture 3: Line Plots

Chapter 18: Graph Customization

Lecture 1: Labels, Title and a Legend

Lecture 2: Changing Axis Ticks

Lecture 3: Adding Text to our Graph

Lecture 4: Annotating Our Graph

Lecture 5: Changing Figure Size and Saving

Lecture 6: Changing Axis Scales

Chapter 19: More Advanced Plots

Lecture 1: Creating Histograms

Lecture 2: Histograms Continued

Lecture 3: Changing Histogram Types

Lecture 4: Bar Plots

Lecture 5: Stack Plots

Lecture 6: Pie Charts

Lecture 7: Box and Whisker Plots

Chapter 20: Finance Graphs

Lecture 1: Creating Figures and Subplots

Lecture 2: Getting & Parsing CSV Data for Plotting

Lecture 3: Creating a Candlestick Plot

Lecture 4: Setting Dates for our Candlestick Plot