Pandas Python Library for Beginners in Data Science
This guided project is for absolute beginners in data science who want to learn about the features in pandas, one of the most important python libraries for data analysis.
Created by: Vinita Silaparasetty
Produced in 2022
What you will learn
- Learn how to clean data using pandas.
- Learn how to do basic data preprocessing.
- Learn how to handle quantitative data (numeric data) and qualitative data (text data) with pandas.
Quality Score
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Overall Score : 100 / 100
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Course Description
By the end of this project, you will master the basics of pandas. You will be able to gain insight into the data, clean it, and do basic preprocessing to get the most value out of your data.
Special Features:
1) This project provides plenty of challenges with solutions to encourage you to practice using pandas.
2) Libraries are automatically imported each time you begin a new session. Just open the project and start learning!
3) The real world applications of each function is explained.
4) After you complete this project, you get a jupyter notebook of all the work you covered (including gifs). It acts as a useful learning tool that you can refer to at any time in the future.
5) Best practices and tips are provided to ensure that you learn how to use pandas efficiently.
6) Animated gifs are used to aid in the learning process.
7) Important terminology and definitions are explained.
8) Simple language is used throughout the project, so that you can focus on coding. (Eg: Quantitative data is referred to simply as numeric data.)
Note: This course works best for learners who are based in the North America region. Were currently working on providing the same experience in other regions.
Special Features:
1) This project provides plenty of challenges with solutions to encourage you to practice using pandas.
2) Libraries are automatically imported each time you begin a new session. Just open the project and start learning!
3) The real world applications of each function is explained.
4) After you complete this project, you get a jupyter notebook of all the work you covered (including gifs). It acts as a useful learning tool that you can refer to at any time in the future.
5) Best practices and tips are provided to ensure that you learn how to use pandas efficiently.
6) Animated gifs are used to aid in the learning process.
7) Important terminology and definitions are explained.
8) Simple language is used throughout the project, so that you can focus on coding. (Eg: Quantitative data is referred to simply as numeric data.)
Note: This course works best for learners who are based in the North America region. Were currently working on providing the same experience in other regions.
Instructor Details
- 5.0 Rating
1 Reviews
Vinita Silaparasetty
Vinita Silaparasetty is currently exploring the field of Artificial Intelligence, particularly in Machine Learning, Deep Learning and Neural Networks.
She learns and shares her knowledge of Machine Learning & Deep Learning on Kaggle Forums & Quora.
She is the co-organizer of the "Bangalore Artificial Intelligence Meetup" as well as the "AI for Women" meetup groups.
#datascience #artificialintelligence #machinelearning #vinitas #vinita #vinitamohan #deeplearning
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- Video Duration:
1h - Price: Free 0 Track Price
- Provider: Coursera
- Year:
2022 - Level:
Beginner - Language:
English - Certificate:
Yes
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