Data Analysis with Python

Overview

Develop Python code for cleaning and preparing data for analysis – including handling missing values, formatting, normalizing, and binning data.

Develop Python code for cleaning and preparing data for analysis – including handling missing values, formatting, normalizing, and binning data.

What you’ll learn

1. - Develop Python code for cleaning and preparing data for analysis – including handling missing values, formatting, normalizing, and binning data
2. - Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy
3. - Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines
4. - Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making