Gain the career-building Python skills you need to succeed as a data analyst. No coding experience required. In this course, you’ll learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data analyst.
Content
- Handout: Data Analytics with Python
- Resource – Datasets Used in This Course
- [01] Getting Started with Python
- [02] Variables and Data Types
- [03] The print() Function
- [04] Pandas
- [05] Getting Started with Data Analytics
- [06] Accessing MySQL Database
- Knowledge Check #1
- [07] Fundamental Data Pre-Processing
- [08] Dealing with Missing Values
- [09] Datetime Formatting
- [10] Data Normalization
- [11] Data Binning
- [12] Converting Categorical Variables to Quantitative Variables
- [13] GroupBy
- Knowledge Check #2
- [14] Data Visualization
- [15] Correlation and Linear Regression
- Course Assignment
Completion Rules
- All units must be completed
- Leads to a certificate with a duration: Forever
