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Data Science using Pandas (from basics)

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Hands-on with Pandas




Data Science using Pandas (from basics)

What you’ll learn

  • The students will learn what is DataScience, how to do data processing using Pandas (with Python)




Requirements

  • Python language

Description





The following topics are covered:

  • What is Data Science
  • How to get (real) stock data , how to plot data in Jupyter
  • SQL and MySQL interaction using Pandas
  • read csv file and do various operations. Stocks data is considered as example
  • write csv file and associated operations
  • Handling missing data,
  • Data filtering / Wrangling using Pandas
  • Group by support in Pandas
  • Concat support in Pandas
  • Merge of Dataframes
  • Pivot Table support in Pandas
  • Stack / Unstack support in Pandas
  • Reshape with Pandas
  • Cross Tab with Pandas
  • excel support
  • Time series Support for calendar ( Business Days, Holidays)
  • Time series Support for resampling, indexing time series data




    Hands-on / Practical with various datasets like: stock /share data, weather data etc

Who this course is for:

  • Beginner Python developers, Data Science students, Students who have some exposure to data analytics
  • This course is meant typically for those who want to learn Data Science and who have some exposure to python programming, like freshers.





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