Unpacking NumPy and Pandas

Unpacking NumPy and Pandas, available at $19.99, has an average rating of 3.85, with 19 lectures, based on 15 reviews, and has 102 subscribers.

You will learn about See how to read, sort, and map various data into NumPy and Pandas Find out how to create and slice data arrays using NumPy Get to know how to subset your data frames using Pandas Handle missing data in a Pandas DataFrame Interface your Python data analysis with R’s language packages This course is ideal for individuals who are If you are a Python developer and want to take your first steps into the world of data analysis, then this is the video course you have been waiting for! It is particularly useful for If you are a Python developer and want to take your first steps into the world of data analysis, then this is the video course you have been waiting for!.

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Summary

Title: Unpacking NumPy and Pandas

Price: $19.99

Average Rating: 3.85

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

See how to read, sort, and map various data into NumPy and Pandas
Find out how to create and slice data arrays using NumPy
Get to know how to subset your data frames using Pandas
Handle missing data in a Pandas DataFrame
Interface your Python data analysis with R’s language packages

Who Should Attend

If you are a Python developer and want to take your first steps into the world of data analysis, then this is the video course you have been waiting for!

Target Audiences

If you are a Python developer and want to take your first steps into the world of data analysis, then this is the video course you have been waiting for!

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning.

In this video course, you will explore two of the most important Python packages used by Data Analysts. You will start off by learning how to set up the right environment for data analysis with Python. Here, you’ll learn to install the right Python distribution, as well as work with the Jupyter notebook, and set up a database. After that you will dive into Python’s NumPy package, Python’s powerful extension with advanced mathematical functions. You will learn to create NumPy arrays, as well as employ different array methods and functions. Then, you will explore Python’s Pandas extension, where you will learn to subset your data, as well as dive into data mapping using Pandas. You’ll also learn to manage your data sets by sorting and ranking them. Finally, you will learn to index and group your data for sophisticated data analysis and manipulation.

About the Author

Curtis Miller is a graduate student at the University of Utah, seeking an Master’s in Statistics (MSTAT) and a Big Data Certificate.

In the past, Curtis has worked as a Math Tutor, and has a double major adding mathematics with an emphasis in statistics as a second major.

Curtis has studied the gender pay gap, and presented his paper or Gender Pay Disparity in Utah, which grabbed the attention of local media outlets.

He currently teaches Basic Statistics at the University of Utah. He enjoys writing and is an avid reader, and enjoys studying politics, economics, history, and psychology and sociology.

Course Curriculum

Chapter 1: Let's Do This! Setting Up a Python Data Analysis Environment

Lecture 1: The Course Overview

Lecture 2: Installing Anaconda

Lecture 3: Exploring Jupyter Notebooks

Lecture 4: Exploring Alternatives to Jupyter

Lecture 5: Package Management with conda

Lecture 6: Setting Up a Database

Chapter 2: It's All in the Numbers – Diving into NumPy

Lecture 1: Running through NumPy Data Types

Lecture 2: Creating NumPy Arrays

Lecture 3: Slicing Arrays in NumPy

Lecture 4: Arithmetic and Linear Algebra with Arrays

Lecture 5: Employing Array Methods and Functions

Chapter 3: Black, White, and Awesome – Working with Pandas

Lecture 1: Pandas Are Fun! What Is Pandas?

Lecture 2: Exploring Series and DataFrame Objects

Lecture 3: Subsetting Your Data

Lecture 4: Arithmetic, Function Application, Mapping with Pandas

Lecture 5: Handling Missing Data in a Pandas DataFrame

Lecture 6: Managing Your Data by Sorting and Ranking

Lecture 7: Hierarchical Indexing

Lecture 8: Plotting with Pandas

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 2 votes
2 stars: 2 votes
3 stars: 2 votes
4 stars: 2 votes
5 stars: 7 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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