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The Ultimate Beginners Guide to Data Analysis with Pandas

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The Ultimate Beginners Guide to Data Analysis with Pandas, available at $54.99, has an average rating of 4.36, with 52 lectures, based on 24 reviews, and has 298 subscribers.

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You will learn about Create, slice, and manipulate Series in Pandas, exploring from basic operations to grouping Develop advanced skills in creating and manipulating DataFrames, mastering techniques for accessing and performing complex operations Visualize data, create plots, and explore essential formatting techniques Put your knowledge to the test with practical challenges, strengthening your skills in data manipulation and analysis Explore the power of grouping in numerical and categorical data, as well as perform advanced operations for more sophisticated analyses This course is ideal for individuals who are Individuals who are taking their first steps in Python programming and wish to delve into the world of data analysis in a practical manner or Students or early-career professionals in the field of data science seeking a solid understanding of data manipulation with Pandas or Professionals who already have basic knowledge in Python and want to enhance their skills in data manipulation and analysis using Pandas or Students looking for a practical introduction to data manipulation to complement their studies in statistics or related disciplines or Developers aiming to expand their skills to include data analysis, using Pandas as an essential tool in their projects It is particularly useful for Individuals who are taking their first steps in Python programming and wish to delve into the world of data analysis in a practical manner or Students or early-career professionals in the field of data science seeking a solid understanding of data manipulation with Pandas or Professionals who already have basic knowledge in Python and want to enhance their skills in data manipulation and analysis using Pandas or Students looking for a practical introduction to data manipulation to complement their studies in statistics or related disciplines or Developers aiming to expand their skills to include data analysis, using Pandas as an essential tool in their projects.

Enroll now: The Ultimate Beginners Guide to Data Analysis with Pandas

Summary

Title: The Ultimate Beginners Guide to Data Analysis with Pandas

Price: $54.99

Average Rating: 4.36

Number of Lectures: 52

Number of Published Lectures: 52

Number of Curriculum Items: 52

Number of Published Curriculum Objects: 52

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Create, slice, and manipulate Series in Pandas, exploring from basic operations to grouping
  • Develop advanced skills in creating and manipulating DataFrames, mastering techniques for accessing and performing complex operations
  • Visualize data, create plots, and explore essential formatting techniques
  • Put your knowledge to the test with practical challenges, strengthening your skills in data manipulation and analysis
  • Explore the power of grouping in numerical and categorical data, as well as perform advanced operations for more sophisticated analyses

Who Should Attend

  • Individuals who are taking their first steps in Python programming and wish to delve into the world of data analysis in a practical manner
  • Students or early-career professionals in the field of data science seeking a solid understanding of data manipulation with Pandas
  • Professionals who already have basic knowledge in Python and want to enhance their skills in data manipulation and analysis using Pandas
  • Students looking for a practical introduction to data manipulation to complement their studies in statistics or related disciplines
  • Developers aiming to expand their skills to include data analysis, using Pandas as an essential tool in their projects

Target Audiences

  • Individuals who are taking their first steps in Python programming and wish to delve into the world of data analysis in a practical manner
  • Students or early-career professionals in the field of data science seeking a solid understanding of data manipulation with Pandas
  • Professionals who already have basic knowledge in Python and want to enhance their skills in data manipulation and analysis using Pandas
  • Students looking for a practical introduction to data manipulation to complement their studies in statistics or related disciplines
  • Developers aiming to expand their skills to include data analysis, using Pandas as an essential tool in their projects

Welcome to the “Ultimate Beginners Guide to Pandas for Data Analysis” course, a comprehensive journey designed for beginners interested in exploring the Pandas library in the context of data analysis. This course has been carefully structured to provide a solid understanding of Pandas fundamentals and advanced techniques, empowering students to manipulate data with confidence and efficiency. Check out the modules and main topics below:

Section 1: Series

We start with Pandas installation and the creation of Series, the essential one-dimensional structure for storing data. Throughout the module, we explore fundamental concepts such as slicing, copying, accessing with iloc and loc, sorting, filtering, mathematical operations, and string manipulations. We also cover advanced topics, including numerical and categorical grouping, handling missing values, functions, and practical challenges.

Section 2: Dataframe

Continuing on, we delve into the creation and exploration of Dataframes, vital structures for analyzing more complex datasets. This module covers topics such as accessing with iloc and loc, manipulation of rows and columns, handling duplicate data and missing values, sorting, advanced filtering, creating and manipulating columns, aggregation, pivot tables, concatenation, joining, and import/export techniques. We include practical challenges to reinforce learning.

Section 3: Data Visualization

In the final module, we explore data visualization with Pandas. We cover the creation of line, bar, pie, scatter, and histogram plots, as well as formatting techniques and subplots. The module includes a practical challenge to apply the newly acquired skills in visualizing data.

Upon completing this course, participants will be equipped with the practical skills necessary to effectively use Pandas in data analysis. Get ready for an hands-on learning experience, empowering you to tackle real-world challenges in data manipulation and interpretation.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course content

Lecture 2: Course materials

Chapter 2: Series

Lecture 1: Installation

Lecture 2: Creating series

Lecture 3: Slicing

Lecture 4: Copy, conversion, and concatenation

Lecture 5: Accessing elements with iloc

Lecture 6: Accessing elements with loc

Lecture 7: Ordering

Lecture 8: Counting

Lecture 9: Filtering

Lecture 10: Mathematical operations

Lecture 11: String operations

Lecture 12: Numerical grouping

Lecture 13: Categorical grouping

Lecture 14: Missing values

Lecture 15: Functions

Lecture 16: HOMEWORK

Lecture 17: Homework solution

Chapter 3: Dataframes

Lecture 1: Creating dataframes

Lecture 2: Exploring dataframes

Lecture 3: Accessing elements with iloc and loc

Lecture 4: Deleting rows and columns

Lecture 5: Duplicated rows

Lecture 6: Missing values

Lecture 7: Counting

Lecture 8: Ordering

Lecture 9: Filtering

Lecture 10: Rename and reorder columns

Lecture 11: Creating new columns

Lecture 12: Categorical features

Lecture 13: Aggregation

Lecture 14: Grouping

Lecture 15: Grouping with aggregation

Lecture 16: Aggregation with transform

Lecture 17: Pivot tables

Lecture 18: Concatenation and joining

Lecture 19: Date conversions

Lecture 20: Date indexes

Lecture 21: Importation and exportation

Lecture 22: HOMEWORK

Lecture 23: Homework solution

Chapter 4: Data visualization

Lecture 1: Line plot

Lecture 2: Formatting

Lecture 3: Subplots

Lecture 4: Bar and pizza plots

Lecture 5: Scatter plot

Lecture 6: Histogram

Lecture 7: HOMEWORK

Lecture 8: Homework solution

Chapter 5: Final remarks

Lecture 1: Final remarks

Lecture 2: BONUS

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 0 votes
  • 3 stars: 2 votes
  • 4 stars: 9 votes
  • 5 stars: 14 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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