Python Bootcamp for Data Analysis #4: NumPy

Python Bootcamp for Data Analysis #4: NumPy, available at Free, has an average rating of 4.1, with 9 lectures, based on 10 reviews, and has 565 subscribers.

You will learn about Understand the basics of NumPy and its importance in data analysis Create and manipulate NumPy arrays for efficient data processing Apply indexing techniques to manage data Perform mathematical and statistical operations using NumPy arrays This course is ideal for individuals who are Those interested in entering the field of data analysis and want to build a strong foundation in Python or Professionals aiming to transition into tech roles or Undergraduate and graduate students who require Python programming skills for research, projects, or coursework in computer science, engineering, statistics, or related fields. or Anyone with an interest in programming and data analysis It is particularly useful for Those interested in entering the field of data analysis and want to build a strong foundation in Python or Professionals aiming to transition into tech roles or Undergraduate and graduate students who require Python programming skills for research, projects, or coursework in computer science, engineering, statistics, or related fields. or Anyone with an interest in programming and data analysis.

Enroll now: Python Bootcamp for Data Analysis #4: NumPy

Summary

Title: Python Bootcamp for Data Analysis #4: NumPy

Price: Free

Average Rating: 4.1

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand the basics of NumPy and its importance in data analysis
Create and manipulate NumPy arrays for efficient data processing
Apply indexing techniques to manage data
Perform mathematical and statistical operations using NumPy arrays

Who Should Attend

Those interested in entering the field of data analysis and want to build a strong foundation in Python
Professionals aiming to transition into tech roles
Undergraduate and graduate students who require Python programming skills for research, projects, or coursework in computer science, engineering, statistics, or related fields.
Anyone with an interest in programming and data analysis

Target Audiences

Those interested in entering the field of data analysis and want to build a strong foundation in Python
Professionals aiming to transition into tech roles
Undergraduate and graduate students who require Python programming skills for research, projects, or coursework in computer science, engineering, statistics, or related fields.
Anyone with an interest in programming and data analysis

Step into Miuul’s Python Bootcamp for Data Analysis, a beginner-friendly course designed to transform newcomers into adept programmers.

Miuul’s Python Bootcamp aims not only to teach but also to inspire creativity and innovation in coding. Each module in this series adopts a hands-on approach, allowing you to directly apply what you learn in real-world scenarios.

In this fourth module, we’ll delve into the fundamentals of NumPy, a powerful library for numerical computing in Python. We’ll explore what NumPy is, and you’ll learn how to create NumPy arrays, the core data structure of the library, and discover their key attributes. As you progress, you’ll master techniques for reshaping arrays and gain proficiency in accessing and modifying array elements through various indexing techniques, including advanced fancy indexing. The module will also cover conditional operations to allow dynamic data manipulation and conclude with a deep dive into mathematical operations with NumPy arrays.

This comprehensive exploration of NumPy will prepare you for advanced topics in future courses and enhance your ability to tackle data analysis challenges efficiently.

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

Course Curriculum

Chapter 1: NumPy

Lecture 1: Course Materials

Lecture 2: What is NumPy?

Lecture 3: Creating NumPy Array

Lecture 4: Attributes of NumPy Array

Lecture 5: Reshaping

Lecture 6: Index Operations

Lecture 7: Fancy Index

Lecture 8: Conditional Operations

Lecture 9: Mathematical Operations

Instructors

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

Rating Distribution

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