Basics of Pandas for Data Analysis & Data Science in Python
Basics of Pandas for Data Analysis & Data Science in Python, available at Free, has an average rating of 4.46, with 20 lectures, based on 123 reviews, and has 4670 subscribers.
You will learn about 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 This course is ideal for individuals who are Anyone looking to learn basics of Pandas It is particularly useful for Anyone looking to learn basics of Pandas.
Enroll now: Basics of Pandas for Data Analysis & Data Science in Python
Summary
Title: Basics of Pandas for Data Analysis & Data Science in Python
Price: Free
Average Rating: 4.46
Number of Lectures: 20
Number of Published Lectures: 19
Number of Curriculum Items: 20
Number of Published Curriculum Objects: 19
Original Price: Free
Quality Status: approved
Status: Live
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
Who Should Attend
- Anyone looking to learn basics of Pandas
Target Audiences
- Anyone looking to learn basics of Pandas
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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:
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Basic data-structure of Python
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Basics of pandas
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Using pandas Data Frames to solve complex tasks
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Use pandas series to find meaningful insights
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methods & attributes of Series
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Casting in Pandas
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frequent used functions of Pandas
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Groupby in Pandas
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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 !
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction & Course benefits !
Lecture 2: Quick Summary of Jupyter Notebook
Chapter 2: data structures of Pandas
Lecture 1: Datasets & resources
Lecture 2: How to read data using Pandas
Lecture 3: Series – data structure
Lecture 4: What is DataFrame ?
Chapter 3: basic attributes in Pandas
Lecture 1: basic attributes of Pandas Dataframe & Series
Chapter 4: basic functions in Pandas
Lecture 1: basic function of Pandas
Lecture 2: What are missing values & how to deal with that !
Lecture 3: Code Walk-through of Missing value using Pandas
Lecture 4: type-casting using Pandas
Lecture 5: Add & Delete column using Pandas
Chapter 5: Some smart operations of Pandas
Lecture 1: how to create filter data using Pandas
Lecture 2: How to sort values of data
Lecture 3: How to apply User-defined function on Series & Dataframe
Chapter 6: Creating groups in Pandas
Lecture 1: What is Groupby in Pandas & when to use it.
Lecture 2: How does Groupby works !
Chapter 7: basic plots in Pandas
Lecture 1: Basic plots of Pandas
Chapter 8: Bonus section
Lecture 1: Bonus lecture
Instructors
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Shan Singh
Top Rated & Best-Selling Udemy Instructor , Data Scientist
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 13 votes
- 4 stars: 52 votes
- 5 stars: 56 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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