Python for Data Analysts and Data Scientists

Dive into a comprehensive video tutorial designed to equip data analysts and data scientists with essential Python skills for data analysis. Begin with the basics of setting up a Jupyter Notebook and progress through fundamental concepts such as data types, structures, and operations. Learn to leverage powerful libraries like NumPy and Pandas for efficient data manipulation. Master crucial techniques including filtering, working with datetime objects, applying functions to dataframes, and performing complex operations like grouping, aggregation, and joining datasets. Explore advanced topics such as pivoting and melting data for insightful analysis. Practice your skills with provided datasets and follow along with the detailed guide to enhance your learning experience.

- Course Overview
- Preparation
- Creating a Jupyter Notebook and Objects
- Markdown Cells
- Data Types and Structures
- Operations
- Functions
- Libraries and Installing new Libraries
- Control Statements
- NumPy
- Install Pandas
- Series
- DataFrames
- Columns
- Rows
- Descriptive Statistics
- Filtering
- DateTimes
- Splitting Columns
- Applying a Function to Every Row
- GroupBy, Aggregation, and Sorting Values
- Joins and Unions
- Pivot and Melt