Python Pandas for Business Analytics/ Data Science _ Level 1

Goals

• Using Google Colaboratory to run python code on a virtual machine [without needing to install python]
• Create one or two-dimensional [tabular] data sets in Python Pandas using various methods
• Import & Export external data sets [various file formats like Text, CSV, Excel, HTML, etc.] using Python Pandas
• Filter/Slice data based on indices, names, or using some condition [to answer some questions from the given data set]
• Visualizing data as per the requirement
• Clean Data for missing or invalid values in Pandas
• Explore data to find hidden insights [Typecasting variables, renaming columns, deleting rows/columns, descriptive stats, distribution, Cross tabulation, finding aggregate summaries for different groups & much more]
• Combine multiple data sets [merging/joining or appending similar to various SQL joins and much more]
• Applying your learnings to complete an analytics project.

Prerequisites

• You don't need to have a programming background. You will learn everything you need to know
• You don't need to have a mathematics/statistics background. You will learn everything you need to know
• You just need a passion for learning & love for data crunching
• Basic familiarity with data is a plus
• Basic familiarity with python is a plus [For this you can find free tutorials on my YouTube]