Basics of Pandas for Data Analysis & Data Science


Learn Basics of Pandas for Data Analysis , Data Manipulation , Data Visualisation & Data Science

English
language

What You Will Learn

Learn about Essentials of Pandas to manipulate , clean & visualise data

Learn Frequent used methods and attributes across numerous pandas objects

Learn to use Pandas for Data Analysis

Learn how to code in Jupyter Notebook

Requirements

  • Have a Keen Desire to learn !

Description

Data Scientist & Data Analyst has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

That being said, data science is becoming one of the most well-suited occupations for success in the twenty-first century. It is computerized, programming-driven, and analytical in nature. Consequently, it comes as no surprise that the need for data scientists has been increasing in the employment market over the last several years.

In this course, you will learn how to handle data by doing manipulations ,cleaning ,pre-processing etc ..

We’ll teach you how to program with Python, how to create amazing data visualizations, how to clean data and how to make your data ready for Machine Learning with Python! Here a just a few of the topics we will be learning:

  • Basic data-structure of Python
  • Basics of pandas
  • Using pandas Data Frames to solve complex tasks
  • Use pandas series to find meaningful insights
  • methods & attributes of Series
  • Casting in Pandas
  • frequent used functions of Pandas
  • Groupby in Pandas
  • Basic viz. of Pandas

We’ll start off by teaching you enough Python and Pandas that you feel comfortable working and generating data  Then we’ll continue by teaching you real-world scenarios  including cleaning , pre-processing using Pandas functions . We’ll also give you an intuition of when to use what function !

Who this course is for:

  • Anyone looking to learn basics of Pandas


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Course content

7 sections • 17 lectures • 1h 55m total length

  • Introduction & Course benefits !

    05:34

  • Quick Summary of Jupyter Notebook

    05:47

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