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Python Pandas Full Course

Learn Pandas with 100+ hands-on live running coding examples and exercises

Amit Diwan

Summary

Price
£12 inc VAT
Study method
Online, On Demand What's this?
Duration
6.1 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate Completion - Free
  • Reed Courses Certificate of Completion - Free

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Overview

Welcome to Python Pandas Full Course for Data Science (2024).

Pandas is a powerful and easy-to-use open-source tool built on top of the Python programming language. It is useful for data analysis and manipulation.

What you'll learn

  • Learn Pandas from scratch (2024)
  • Learn Pandas for Data Science and Data Analysis
  • Acquire essential Pandas skills
  • Practice your skills with 100+ coding exercises
  • Learn Pandas best practices
  • Be able to program in Pandas professionally.
  • Learn to read CSV and Excel files with ease in Python

Curriculum

10
sections
35
lectures
6h 4m
total

Course media

Description

Python with pandas is widely used in Statistics, Finance, Neuroscience, Economics, Web Analytics, Advertising, etc.

To work with data sets, clean them, and make them relevant for Data Science is what Pandas do. With that, easily load and read data sets in Excel, CSV, JSON, XML, etc. formats with Pandas and work on them. Easily clean the wrong format data, remove duplicates, and do other tasks with Pandas.

Features

  • Analyze Data
  • Manipulate Data
  • Columns can be inserted and deleted from DataFrame
  • Group the rows/ columns of a DataFrame/ Series
  • Plotting is possible
  • Read CSV/ JSON
  • Fix the inaccurate data
  • Clean the Data completely
  • Easy to handle the missing data in the form: NaN, NA, or NaT

Course Lessons

  1. Pandas – Introduction & Features
  2. Install & Setup Pandas
  3. Create a Pandas DataFrame (Run first program)
  4. Pandas DataFrames – Attributes & Methods
  5. Join Pandas DataFrame
  6. Concatenate Pandas DataFrames
  7. Create a Pandas Series
  8. Pandas Series – Attributes & Methods
  9. Combine two Pandas series
  10. Categorical Data in Pandas
  11. Working with Categories in Pandas
  12. Read CSV in Pandas
  13. Read Excel in Pandas
  14. Indexing in Pandas
  15. Select multiple columns in Pandas
  16. Add a new column in Pandas
  17. Delete rows/ columns in Pandas
  18. Iterate over rows and columns in Pandas
  19. Sorting in Pandas
  20. Handle Duplicates in Pandas
  21. Clean the Data in Pandas
  22. String Operations in Pandas
  23. Date Time Operations in Pandas
  24. Remove Whitespace in Pandas
  25. Group the Data in Pandas
  26. Statistical Functions in Pandas
  27. Plot a DataFrame in Pandas

Bonus

Quiz

We have also provided Online Quizzes with 30 Questions to polish your Pandas skills after completing the lessons.

100+ live coding examples are covered to make each lesson easier for the students.

Hit the Enroll button!

Who is this course for?

  • Those who want to learn Pandas by doing. This course includes 100+ hands-on exercises
  • Gain a deep understanding of Python Pandas
  • Python Libraries Beginners
  • Get started with Pandas
  • Learn all the topics in Pandas

Requirements

  • A computer with an Internet
  • Python knowledge
  • Passion to learn Pandas

Career path

The Average Data Scientist's salary in the UK is £73,411

The Average Data Analyst salary in the UK is £41,449

Questions and answers

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Certificates

Certificate Completion

Digital certificate - Included

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

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An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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