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Learning Objectives

What is AI data analysis?

 
As your data grows, data exploration gets harder and more time-consuming. AI data analysis uses different artificial intelligence techniques to get valuable insights from large amounts of data. Here are just a few examples of these techniques.
  • Machine learning algorithms: extract patterns or make predictions on large datasets
  • Deep learning: use neural networks for things like image recognition, time-series analysis and more
  • Natural language processing (NLP): derives insights from unstructured text data.

Modules of Data Analyst

  • Python for Data Analyst
  • Data Analysis and Visualization  
  • Statistics for Data Analyst
  • MS SQL Server and SQL
  • Analytics with Excel
  • Analytics Microsoft Power BI
  • Analytics with Tableau
  • Cloud: AWS
  • Analyst – Live Projects