Python for Data Analysis Course

Python for Data Analysis

Buy $189.00

Course curriculum

1. Course Overview
2. What is Python
3. Installing Python
4. Jupyter Notebook Walkthrough
5. All Course Slides
6. Python for Data Analysis Cheat Sheet
1. Assigning Variables
2. Reassigning Variables
3. Concatenating Strings
4. Input Function
5. Practice Exercises
1. Data Types
2. Converting Data Types
3. Data Structures & Lists
4. Tuples
5. Sets
6. Dictionaries
7. Practice Exercises
1. Math Operators
2. Comparison Operators
3. Logical Operators
4. Functions
5. If, Else, Elif
6. Practice Exercises
7. For Loops
8. Nested For Loops
9. Practice Exercises
10. While Loops
11. Loop Control Statements
12. Practice Exercises
1. Introduction to Functions
2. Arguments & Parameters
3. Return Statements
4. Default Arguments
5. Keyword Arguments
6. Arbitrary Arguments
7. Practice Exercises
8. Built-In Functions
9. Built-In Functions Part 2
1. Python Libraries & Reading CSV Files
2. Reading Excel Files & Summarizing with Pandas
3. Manipulating Data
4. Sorting & Grouping
5. Exporting Data
6. Practice Exercises Part 1
7. Practice Exercises Part 2
1. Data Visualization Packages
2. Basic Plots & Formatting
3. Advanced Formatting
4. Adding Multiple Variables
5. Visual Distributions
6. Categorical Plots
7. Pairplots & Jointplots
8. Correlation & Heatmap
1. Case Study Introduction
2. Import Libraries & Set Up the Environment
3. Cleaning the Data
4. Stock Price Analysis
5. Moving Averages
6. Volatility Analysis
7. Peer Comparison
8. Correlation Analysis
9. Presenting & Exporting Findings
1. Case Study Introduction
2. Importing the Dataset
3. Understanding the Data
4. Cleaning Up Age Column & Fixing Headers
5. Missing Data
6. Date & Time Columns
7. Adding a New Column
8. Victim Analysis
9. Crime Type
10. Weapon Type
11. Crimes by Hour of Day
12. Crimes by Weekday
13. Closing
1. Case Study Introduction
2. Understanding the Machine Learning Model
3. Cleaning the Data
4. Exploratory Data Analysis
5. Adding New Columns
6. Building the ML Model
7. Making Predictions with the ML Model
8. Measuring Errors
9. Improving the Model
1. Conceptual Questions
2. Coding Questions Part 1
3. Coding Questions Part 2
4. Coding Questions Part 3
1. Next Steps & Congratulations!

About this course

$189.00
90 lessons
7.5 hours of video content

Discover your potential, starting today

Enroll today

Python for Data Analysis

Course curriculum

Module 1: Introduction to Python

Module 2: Variables

Module 3: Data Types & Structures

Module 4: Operators & Statements

Module 5: Functions

Module 6: Data Analysis with Pandas

Module 7: Data Visualization with Seaborn & Matplotlib

Module 8: Stock Analysis Case Study

Module 9: LAPD Crime Analysis Case Study

Module 10: Machine Learning Case Study

Module 11: Python Interview Questions for Data Analysts

Module 12: Next Steps

About this course

Discover your potential, starting today