Unpacking NumPy and Pandas
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Unpacking NumPy and Pandas

Get to grips with the most popular Python packages that make Data Analysis possible
0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
14 students enrolled
Created by Packt Publishing
Last updated 7/2017
English
Current price: $10 Original price: $125 Discount: 92% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 2.5 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I 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
View Curriculum
Requirements
  • Should have knowledge of Python.
Description

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.

Who is the target audience?
  • 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!
Compare to Other NumPy Courses
Curriculum For This Course
19 Lectures
02:18:07
+
Let's Do This! Setting Up a Python Data Analysis Environment
6 Lectures 34:24

This video gives an overview of the entire course.

Preview 04:02

We prepare to analyze data with Python by installing Anaconda

Installing Anaconda
04:05

You'll learn to write literate Python code with Jupyter Notebooks

Exploring Jupyter Notebooks
08:19

You'll learn when and how to use alternative development environments to Jupyter

Exploring Alternatives to Jupyter
07:22

You'll learn how to manage packages and environments with conda.

Package Management with conda
02:58

We set up a MySQL database to store the data used in data analysis

Setting Up a Database
07:38
+
It's All in the Numbers – Diving into NumPy
5 Lectures 42:41

You'll learn about NumPydtypes, special values, ndarrays, and matrices.

Preview 09:02

How can we create an ndarray with our data? We see the NumPy functions for creating ndarrays.

Creating NumPy Arrays
09:28

We need to access data in an ndarray; here, we see how subsetting is done, so we get exactly the data we need.

Slicing Arrays in NumPy
09:17

How can we use ndarrays for computation? We see how arithmetic and linear algebra with NumPy arrays is done.

Arithmetic and Linear Algebra with Arrays
09:09

How can we use NumPy to perform calculations fast? With ufuncs and vectorization!

Employing Array Methods and Functions
05:45
+
Black, White, and Awesome – Working with Pandas
8 Lectures 01:01:02

What is pandas? We get an overview of the pandas functionality.

Preview 06:24

How is a Series or DataFrame structured? How can we create them? You'lllearn how Series and DataFrames work by creating some from scratch.

Exploring Series and DataFrame Objects
09:45

How do we work with a subset of data in a pandas object? Here,you'lllearn about and use slicing operations.

Subsetting Your Data
08:13

How can we perform computations using pandas objects? Here we use arithmetic, vectorized functions, and function mappings to get useful quantities.

Arithmetic, Function Application, Mapping with Pandas
08:50

What do we do with the missing data? We talk about strategies for handling missing data and how to implement them with pandas

Handling Missing Data in a Pandas DataFrame
08:14

How do we sort/rank data? We see how to use pandas objects for this task.

Managing Your Data by Sorting and Ranking
04:08

How do we use hierarchical indices? We talk about how to create hierarchical indices with pandas and how to use them for data subsetting.

Hierarchical Indexing
08:13

How can we visualize data in a pandas object? We apply pandas plotting convenience methods.

Plotting with Pandas
07:15
About the Instructor
Packt Publishing
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Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.