Data Analysis with Python



Start Date:


End Date:



70 Hrs
What you'll be learn.

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