# Data Preprocessing with NumPy

This course will guide you through one of Python’s most notable packages – NumPy. We’ll explain why it’s so popular and discuss the numerous applications of its crown jewel – the ndarray class.

with Viktor Mehandzhiyski

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#### Course Overview

This course is designed to show you how to work with one of Python’s fundamental packages – NumPy. You will learn what a “package” is and see how to install, upgrade and import it. By the time you finish the course, you’ll be comfortable with NumPy’ ndarray class, how to slice and reduce the dimensions of its instances, as well as how to quickly refer to the documentation. Furthermore, you’ll be ready to take advantage of NumPy’s various built-in functions and methods, which we’ll use to generate random and non-random data, import and export data to and from Python, find statistical values for a dataset, and clean and preprocess ndarrays.

68 High Quality Lessons
7 Hours of Video
Certificate of Achievement

#### Skills you will gain

data analysisdata processingprogrammingpython

#### What You'll Learn

Do you already know how to use Python? Improve your skills by adding another tool to your arsenal – one of the most notable packages, NumPy!

Create arrays with NumPy
Use basic NumPy syntax
Generate data with NumPy
Implement statistical functions
Substitute missing values in Ndarrays
Explore ways to clean and preprocess data in NumPy

#### Curriculum

• Introduction to NumPy Free
6 Lesson 19 Min
• Why do we use NumPy? Free
3 Lesson 20 Min
• NumPy Fundamentals
6 Lesson 29 Min
• Working with Arrays
4 Lesson 27 Min
• Generating Data with NumPy
7 Lesson 32 Min
• Importing and Saving Data with NumPy
6 Lesson 39 Min
• Statistics with NumPy
8 Lesson 42 Min
• Data Manipulation with NumPy
13 Lesson 95 Min
• A Loan Data Practical Example with NumPy
15 Lesson 88 Min

#### “A large portion of a data analyst’s work is dedicated to preprocessing datasets. Unquestionably, this involves tons of mathematical and statistical techniques that NumPy is renowned for. NumPy can be described as a computationally stable state-of-the-art Python instrument that provides flexibility and can take your analysis to the next level.”

##### Data Preprocessing with NumPy

with Viktor Mehandzhiyski