- Model Selection
- Data Analysis
- Python Programming
- Data Visualization
- Predictive Modelling
Data Analysis with Python
Completed by Moaz Mohammed El-Essawey
December 29, 2021
15 hours (approximately)
Moaz Mohammed El-Essawey 's account is verified. Coursera certifies their successful completion of Data Analysis with Python
What you will learn
Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data
Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy
Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines
Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making