What you'll learn

] using Python Pandas

Merge or Append Data sets [Similar to SQL joins and much more]

Data Exploration in Pandas [Missing values, Data Types & Typecasting, Cross tabulation, Descriptive Stats, Distribution]

Clean Data for missing or invalid values in Pandas

Finding aggregate summaries for different groups

Data Visualization using Pandas [Selecting the right chart, creating quick plots in Pandas, & interpreting those]

Requirements

passion for learning & love for data crunching

Basic familiarity with data is a plus

Basic familiarity with coding is a plus

Description

Python is one of the most popular tools for analytics or data science, today. And in the world of Python, Pandas library [which stands for Python for Data Analysis] is really a game-changer when it comes to data importing, filtering, wrangling, manipulating, summarizing, or quickly plotting the data.

This course will make you a pro in using Python Pandas for analytics.

Who this course is for:

Bners 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




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