Pandas from Basic to Advance For Absolute Beginners.

Pandas from Basic to Advance For Absolute Beginners., available at $19.99, has an average rating of 2.5, with 45 lectures, based on 2 reviews, and has 22 subscribers.

You will learn about Understanding Pandas Library from zero to advanced All the methods and Attributes of Pandas Work with Real world Dataset Advance Pandas concepts like Indexing , Slicing , and many more This course is ideal for individuals who are Beginner in Python wants to Learn Data Science It is particularly useful for Beginner in Python wants to Learn Data Science.

Enroll now: Pandas from Basic to Advance For Absolute Beginners.

Summary

Title: Pandas from Basic to Advance For Absolute Beginners.

Price: $19.99

Average Rating: 2.5

Number of Lectures: 45

Number of Published Lectures: 45

Number of Curriculum Items: 45

Number of Published Curriculum Objects: 45

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

Understanding Pandas Library from zero to advanced

All the methods and Attributes of Pandas

Work with Real world Dataset

Advance Pandas concepts like Indexing , Slicing , and many more

Who Should Attend

Beginner in Python wants to Learn Data Science

Target Audiences

Beginner in Python wants to Learn Data Science

Python is a high level dynamic programming language founded in 1991.Pandas is a popular Python library used for data manipulation and analysis. In this course, you will learn how to work with Pandas to efficiently handle large datasets, perform data cleaning, filtering, grouping, merging, and visualisation

Notably, Python has emerged as the No. 1 Programming language of choice for artificial intelligence, data science, machine learning and deep learning requirements.

Hence, learning python has become a necessity for those aspiring for a career in software industry and for those who are already in the IT industry. Even if you are new to programming, this course is a good starting point.

Cloud based development environment – Google Colab

A key aspect of the course is the use of google cloud based development environment – colab. As more and more companies embrace cloud in a big way, it has become imperative for programmers to gain knowledge and expertise to code in cloud.

The course covers the following concepts:

· Series in Pandas

· Methods and Attributes of Series

· Series Mathematical Methods

· Upload Dataset using read_csv

· Indexing in Pandas

· Fancy Indexing in Pandas

· Slicing in Pandas

· Series with Python Functionality

· Plotting Graph on Series

. Important Series Method Like clip , between , astype , drop_duplicates and many more.

. How to upload the Dataset from your system.

. Everything about the DataFrame.

. Joins like Inner , Left outer Join , Right Outer Join , Full Outer join

. GroupBy in Pandas

. Value Counts in Pandas

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Part 1 – Series In Pandas

Lecture 1: Creating Series from Python List

Lecture 2: Creating Series from Python Dictionary

Lecture 3: Attributes of Pandas Series

Lecture 4: Series Using read_csv

Lecture 5: Head ,Tail ,Sample Methos of Series

Lecture 6: Value Counts Method in Pandas

Lecture 7: Sort Value Method in Pandas

Lecture 8: Sort Index Method in pandas

Lecture 9: Series Maths Methods

Lecture 10: Indexing In Pandas Series

Lecture 11: Slicing In Pandas Series

Lecture 12: Fancy Indexing in Pandas Series

Lecture 13: Editing Pandas Series

Lecture 14: Python Functionality In Series

Lecture 15: Converting Series into List or Dictionary

Lecture 16: Membership Operation in Series

Lecture 17: Looping In Pandas Series

Lecture 18: Arithmetic & Relational Operation in Series

Lecture 19: Plotting Graph on Series

Lecture 20: Converting datatype of series

Lecture 21: Between methods in series

Lecture 22: Clip method in series

Lecture 23: Drop the duplicate value in series

Lecture 24: NAN Values Solution in Series

Lecture 25: Apply methods in series

Lecture 26: Copy methods in Series

Chapter 3: Part 2 – DataFrame In Pandas

Lecture 1: Create DataFrame using python List

Lecture 2: Create DataFrame using Python Dictionary

Lecture 3: Create DataFrame by Uploading CSV File

Lecture 4: Methods & Attributes of DataFrame

Lecture 5: Axis arguments in Pandas

Lecture 6: Selecting Columns from DataFrame

Lecture 7: Selecting Rows Using iIoc Function

Lecture 8: Selecting Rows Using loc Function

Lecture 9: Selecting Rows & Columns

Lecture 10: Adding Columns to the DataFrame

Chapter 4: GroupBy In Pandas

Lecture 1: GroupBy with Easy Introduction Part 1

Lecture 2: GroupBy on Real world Dataset part 2

Lecture 3: GroupBy Functions Part 3

Chapter 5: Joins In Pandas

Lecture 1: Introduction of Joins , Inner Join

Lecture 2: Left Outer Join in Pandas

Lecture 3: Right Outer joins in Pandas

Lecture 4: Full Outer Join in Pandas

Lecture 5: Work on Real World Dataset to Understanding Join in Pandas

Instructors

Udex class
Computer Science Engineer | Instructor at Udemy

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 0 votes

5 stars: 0 votes

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