Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to explore and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Overview
Syllabus
Python Fundamentals
Data Types & Variables
- Statements & Expressions
- Variables
- Integers & Floats
- Strings
Data Structures & Attributes
- Functions & Methods
- Lists
- Indexing & Slicing
- Booleans
Structuring Programs
Complex Data Structures & Control Flow
- Dictionaries
- Conditional Statements
- For Loops
- Creating Functions
Packages & Object Oriented Programming
- Classes & Objects
- Modules & Imports
- Packages & Documentation
Arrays & Dataframes
Numpy
- Arrays
- Universal Functions
- Boolean Indexing
Pandas
- Pandas Dataframes
- Pandas Series & dtypes
- Column Manipulation
- Descriptive Statistics
Analyzing & Visualizing Data
Data Analysis
- Filtering & Cleaning Data
- Groupby Operations
- Pivot Tables
Data Visualization
- Plotting with Matplotlib
- Bar Charts
- Scatter Plots
- Histograms
- Customizing Visualizations
Taught by
Art Yudin, Brian McClain, and Dan Rodney
