• views: 138
• date: 9 April 2024
• posted by: AD-TEAM

| Size: 117.84 MB[/center]
| Duration: 0h 36m
Manipulating and analyzing data using pandas, a powerful data manipulation tool in Python.

What you'll learn

What is a Pandas Dataframe?

Essential Operations on Pandas Dataframes

Data Cleaning and Preparation with Pandas Dataframes

Advanced Techniques with Pandas Dataframes

Requirements

Installation of Pandas Library, Importing Pandas in Python, Understanding Data Structures in Pandas

Description

Unleash the power of pandas data frame with this immersive and exciting video lesson on the essentials of Pandas Data Frame!The tutorial covers important concepts and functions that are crucial for manipulating and analyzing data efficiently using Pandas in Python.This Course has been designed for ease and better clarity to online learners starting from how to create a pandas data frame to perform mathematical operations on a data frame.From importing and exporting data to cleaning and transforming data, this course covers that are crucial for manipulating and analyzing data . We will dive into the essentials of pandas data frame by demystifying complex concepts through clear and engaging examples.You will also learn how to perform advanced data operations such as merging, grouping, and aggregating data with ease. Unravel step-by-step examples that'll make even complex concepts a breeze to grasp, unfolding the wonders of advanced Pandas Data Frame Techniques.From dazzling videos to interactive explanations, this lesson is perfect for student, professional, or data enthusiast seeking clarity on Pandas Data Frame.Dive into the world of Pandas Data Frames with this comprehensive online tutorial, perfect for beginners looking to enhance their data analysis skills. You will positively gain a solid foundation for further exploration in the field and learn how to handle and analyze data efficiently, andBy the end of this course, you will be able to confidently work with pandas data frames and tackle complex data analysis tasks like a pro.So grab your pencil, sharpen your focus, and get ready to unlock the secrets of this course that will equip you with the necessary knowledge to excel in data analysis tasks.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Why use Pandas Dataframe?

Lecture 3 Getting everything rolling with Pandas Data frame

Section 2: Creating a Data Frame

Lecture 4 From a dictionary

Lecture 5 From a listing of lists or tuples

Lecture 6 From a CSV or Excel file

Lecture 7 From an SQL database

Lecture 8 From SQL database using read_sql_query

Lecture 9 From a NumPy array

Section 3: Manipulating Data Frames

Lecture 10 Accessing data

Lecture 11 Adding columns

Lecture 12 Dropping rows or columns

Lecture 13 Sorting

Lecture 14 Filtering

Section 4: Common Operations

Lecture 15 Statistical operations

Lecture 16 Group by operations

Lecture 17 Merging and joining

Lecture 18 Plotting

Section 5: Export a Data Frame to a CSV file

Lecture 19 Data Frame to a CSV file

Section 6: Conclusion

Lecture 20 Best Practices for Working with Pandas Data frames

This course is tailored for data analysts seeking to enhance their proficiency in working with Pandas Data Frames. It covers fundamental concepts and practical applications in managing and analyzing data efficiently. Whether you are new to Pandas or looking to deepen your existing knowledge, this course provides essential skills for leveraging Pandas in your data analysis projects.






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