Python Pandas for Business Analytics/ Data Science _ Level 1

Learn faster way to analyze your data using Python's mighty Pandas library_ No coding/ Stats background required

Created by: Dr. Nisha Arora
Corporate Trainer_ Data Science

What Will I Learn?

• 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]
• Data Visualization using Pandas [Selecting the right chart, creating quick plots in Pandas, & interpreting those]
• Clean Data for missing or invalid values in Pandas
• Finding aggregate summaries for different groups
• Explore data to find hidden insights [Typecasting variables, renaming columns, deleting rows/columns, descriptive stats, distribution, Cross tabulation, finding
• Combine multiple data sets [merging/joining or appending similar to various SQL joins and much more]
• Applying your learnings to complete an analytics project.

Requirements

• passion for learning & love for data crunching
• Basic familiarity with data is a plus
• Basic familiarity with python is a plus
• You don't need to have programming background. You will learn everything you need to know

Target audience

• Beginners willing to enter Analytics/Data Science/Machine Learning
• Analysts (any domain) wanting to learn Python
• Python developers wanting to learn Analytics/Data Science
• Learners with a passion to explore new areas