Data Analysis is the technique to collect, transform, and organize data to make future predictions, and make informed data-driven decisions. 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

Each step has its own process and tools to make overall conclusions based on the data.

Note: To know more about these steps refer to our Six Steps of Data Analysis Process tutorial.

In this course, we will discuss how to do data analysis with Python. We will discuss all sorts of data analysis i.e. analyzing numerical data with NumPy, Tabular data with Pandas, data visualization Matplotlib, and Exploratory data analysis.