- Predictive Modeling
- Feature Engineering
- Python Programming
- Data Preprocessing
- Regression Analysis
- Model Evaluation
- Exploratory Data Analysis
- Pandas (Python Package)
- Machine Learning Algorithms
- Scikit Learn (Machine Learning Library)
- Statistical Analysis
- Matplotlib
Regression & Forecasting for Data Scientists using Python
Completed by Faith Murugi Maina
November 3, 2024
13 hours (approximately)
Faith Murugi Maina's account is verified. Coursera certifies their successful completion of Regression & Forecasting for Data Scientists using Python
What you will learn
Develop expertise in time series analysis, forecasting, and linear regression
Analyze techniques for exploratory data analysis, trend identification
Understand various time-series models and implement them using Python
Prepare and preprocess data for accurate linear regression modeling
Build and interpret linear regression models for informed decision-making
Skills you will gain
