Python Bootcamp for Data Analysis #5: Pandas

Python Bootcamp for Data Analysis #5: Pandas, available at Free, has an average rating of 4.67, with 13 lectures, based on 3 reviews, and has 985 subscribers.

You will learn about Understand the core functionalities of the Pandas library and its importance in data analysis Create and manipulate Pandas Series and DataFrames to efficiently handle data Perform data selection, conditional filtering, and various operations on variables within Pandas Utilize advanced data aggregation, grouping, and pivot table techniques for comprehensive data analysis This course is ideal for individuals who are Beginner Python developers curious about data science and data analysis. or Professionals seeking to enhance their data manipulation skills using Pandas or Students and researchers who need to handle and analyze large datasets efficiently It is particularly useful for Beginner Python developers curious about data science and data analysis. or Professionals seeking to enhance their data manipulation skills using Pandas or Students and researchers who need to handle and analyze large datasets efficiently.

Enroll now: Python Bootcamp for Data Analysis #5: Pandas

Summary

Title: Python Bootcamp for Data Analysis #5: Pandas

Price: Free

Average Rating: 4.67

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand the core functionalities of the Pandas library and its importance in data analysis
Create and manipulate Pandas Series and DataFrames to efficiently handle data
Perform data selection, conditional filtering, and various operations on variables within Pandas
Utilize advanced data aggregation, grouping, and pivot table techniques for comprehensive data analysis

Who Should Attend

Beginner Python developers curious about data science and data analysis.
Professionals seeking to enhance their data manipulation skills using Pandas
Students and researchers who need to handle and analyze large datasets efficiently

Target Audiences

Beginner Python developers curious about data science and data analysis.
Professionals seeking to enhance their data manipulation skills using Pandas
Students and researchers who need to handle and analyze large datasets efficiently

Welcome to the fifth module of Miuul’s Python Bootcamp for Data Analysis!

This module is a crucial step in your journey as it introduces you to Pandas, an essential library for data manipulation and analysis in Python. We are excited to guide you through the foundational and advanced skills needed to effectively use Pandas for your data tasks.

In this module, you’ll start by understanding what Pandas is and the importance of this powerful library. You’ll learn about Pandas Series, how to read data, and quickly inspect it to gain insights. We will cover how to select data within Pandas, perform operations on variables, and use loc and iloc for precise data manipulation. You’ll also explore conditional selection to filter data efficiently.

As you progress, you’ll dive into aggregation and grouping techniques to summarize data, and learn how to create pivot tables for multidimensional data analysis. Finally, we’ll cover how to apply functions using apply and lambda, and how to join datasets to merge information effectively.

This comprehensive exploration of Pandas will prepare you for more advanced topics in future courses and enhance your ability to tackle data analysis challenges with confidence.

Join us at Miuul’s Python Bootcamp for Data Analysis, where learning to code becomes an adventure, empowering you to write, analyze, and innovate. Each line of code you write brings you one step closer to mastering the art of Python programming.

Course Curriculum

Chapter 1: Pandas

Lecture 1: Course Materials

Lecture 2: What is Pandas?

Lecture 3: Pandas Series

Lecture 4: Reading Data

Lecture 5: A Quick Look at Data

Lecture 6: Selecting Data in Pandas

Lecture 7: Operations on Variables

Lecture 8: Loc and Iloc

Lecture 9: Conditional Selection

Lecture 10: Aggregation and Grouping

Lecture 11: Pivot Table

Lecture 12: Apply and Lambda

Lecture 13: Join

Instructors

Miuul Data Science & Deep Learning
Data Science Team of Miuul.com

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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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