Python for Data Analysis & Data Science

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Course Structure

Lecture 3: Course Requirement/Prerequisite

Lecture 4: Udemy Review System

Lecture 5: Application Download & Installation

Lecture 6: Install Python on Mac

Lecture 7: Install Python on Windows

Lecture 8: Adjusting Playback Rate

Lecture 9: Using Jupyter Notebook

Lecture 10: Python Import Files

Chapter 2: Data Types & Variables

Lecture 1: Section Introduction

Lecture 2: Python as a Programming Language

Lecture 3: Data Types

Lecture 4: Variables

Chapter 3: Operators and Numbers in Python

Lecture 1: Section Introduction

Lecture 2: Operators

Lecture 3: Using Numbers in Python

Chapter 4: Using Strings in Python

Lecture 1: Section Introduction

Lecture 2: String Data Type

Lecture 3: String Methods

Lecture 4: String Operators

Chapter 5: Slicing, Format Functions & Casting

Lecture 1: Section Introduction

Lecture 2: Slice

Lecture 3: Format Function

Lecture 4: Change Data Types Using Functions – Casting

Lecture 5: Project 1 – Create a Bill Payment System

Chapter 6: List – Data Structure

Lecture 1: Section Introduction

Lecture 2: List

Lecture 3: List Methods

Chapter 7: Control Flow

Lecture 1: Section Introduction

Lecture 2: IF Statement

Lecture 3: Project 2 – Guessing Game – Part I

Lecture 4: While Loops

Lecture 5: Project 2 – Guessing Game – Part II

Lecture 6: For Loops

Lecture 7: Break & Continue Statement

Chapter 8: Tuple – Data Structure

Lecture 1: Section Introduction

Lecture 2: Tuples

Chapter 9: Dictionaries – Data Structure

Lecture 1: Section Introduction

Lecture 2: Dictionaries

Lecture 3: Dictionary Methods

Lecture 4: Create a List inside a Dictionary

Lecture 5: Project 3 – Concert Tickets

Chapter 10: Functions

Lecture 1: Section Introduction

Lecture 2: Python's Built-In Functions

Lecture 3: User Defined Functions

Lecture 4: Variable Scope

Lecture 5: Packing & Unpacking Data – ARGS

Lecture 6: Packing & Unpacking Data – KWARGS

Chapter 11: Series

Lecture 1: Section Introduction

Lecture 2: Introduction to Series

Lecture 3: Create Series from a List

Lecture 4: Create Series from a Tuple

Lecture 5: Create Series from a Dictionary

Lecture 6: Create Series from a CSV Dataset

Lecture 7: Head & Tail Methods on a Series

Lecture 8: Count & Describe Methods on a Series

Lecture 9: Sort_Values Method

Lecture 10: Inplace Parameter

Lecture 11: Sort_Index Method

Lecture 12: Retrieve Records from a Series by Index Position

Lecture 13: Retrieve Records from a Series by Index Label

Lecture 14: Use Get_Method to Retrieve Records from a Series

Lecture 15: Using Attributes on a Series

Chapter 12: Dataframe Part A

Lecture 1: Section Introduction

Lecture 2: Introduction to Dataframe

Lecture 3: Create Dataframe from a List

Lecture 4: Create Dataframe from a Dictionary of List

Lecture 5: Create Dataframe from an Imported File

Lecture 6: Retrieve Single Column from a Dataframe

Lecture 7: Retrieve Multiple Columns from a Dataframe

Lecture 8: Add a New Column to a Dataframe

Lecture 9: Delete Column(s) from a Dataframe

Lecture 10: Find the Sum of Null Values

Lecture 11: Drop Rows with Missing Values

Lecture 12: Replace Missing Value Using FILLNA Method

Lecture 13: Broadcasting Operation

Lecture 14: Count Unique Occurrences Using VALUE_COUNT Method