Data Analysis with Python

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis. It also helps to find possible solutions for a business problem. There are six steps for Data Analysis. They are:

• Ask or Specify Data Requirements
• Prepare or Collect Data
• Clean and Process
• Analyze
• Share
• Act or Report

• Import data sets
• Clean and prepare data for analysis
• Manipulate pandas DataFrame
• Summarize data
• Build machine learning models using scikit-learn
• Build data pipelines