Data Science using Pandas (from basics)

Hands-on with Pandas

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.