Basics of Pandas for Data Analysis & Data Science

Basics of Pandas for Data Analysis & Data Science

Basics of Pandas for Data Analysis & Data Science

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

Language: english

Note: 0/5 (0 notes) 267 students  New course 

Instructor(s): Shan Singh

Last update: 2022-08-26

What you’ll 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

 

Course content

  • Introduction
    • Introduction & Course benefits !
    • Quick Summary of Jupyter Notebook
  • data structures of Pandas
    • How to read data using Pandas
    • Series – data structure
    • What is DataFrame ?
  • basic attributes in Pandas
    • basic attributes of Pandas Dataframe & Series
  • basic functions in Pandas
    • basic function of Pandas
    • What are missing values & how to deal with that !
    • Code Walk-through of Missing value using Pandas
    • type-casting using Pandas
    • Add & Delete column using Pandas
  • Some smart operations of Pandas
    • how to create filter data using Pandas
    • How to sort values of data
    • How to apply User-defined function on Series & Dataframe
  • Creating groups in Pandas
    • What is Groupby in Pandas & when to use it.
    • How does Groupby works !
  • basic plots in Pandas
    • Basic plots of Pandas

 

 

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