Introduction to Data Analytics
Completed by Justin Jokhoe
July 1, 2026
55 hours (approximately)
Justin Jokhoe's account is verified. Coursera certifies their successful completion of Introduction to Data Analytics
What you will learn
Apply data preprocessing techniques using Python libraries like Pandas and NumPy to clean, transform, and prepare datasets for analysis.
Use EDA and ML algorithms to identify patterns, trends & solve real-world data problems through regression, classification and clustering techniques.
Evaluate model performance using appropriate metrics and visualise insights through data visualisation tools to effectively communicate findings.
Skills you will gain
- Category: Analytics
- Category: Feature Engineering
- Category: Pandas (Python Package)
- Category: NumPy
- Category: Unsupervised Learning
- Category: Regression Analysis
- Category: Data Structures
- Category: Data Transformation
- Category: Data Cleansing
- Category: Data Ethics
- Category: Dimensionality Reduction
- Category: Exploratory Data Analysis
