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Scientific Computing with NumPy 2021 – Python Data Science

Explore data science in Python by doing linear algebra, image processing, simple machine learning and more in NumPy!
4.8
4.8/5
(8 reviews)
55 students
Created by

9.8

CourseMarks Score®

9.9

Freshness

9.5

Feedback

9.4

Content

Platform: Udemy
Video: 5h 30m
Language: English
Next start: On Demand

Top NumPy courses:

Detailed Analysis

CourseMarks Score®

9.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.9 / 10
This course was last updated on 11/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.5 / 10
We analyzed factors such as the rating (4.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.4 / 10
Video Score: 8.4 / 10
The course includes 5h 30m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
34 resources.
16 exercises.
0 test.

Table of contents

Description

Do you want to learn NumPy in 2021 to get started with data analysis in Python?

Hi there!
We’re a couple (Eirik and Stine) who love to create high-quality courses! In the past, Eirik has taught both Python and NumPy at the university level, while Stine has written learning material for a university course that has used NumPy. We both love NumPy and can’t wait to teach you all about it!

What this course is all about:
In this course, we will teach you the ins and outs of the Python library NumPy. This library is incredibly powerful and is used for scientific computing, linear algebra, image processing, machine learning and more. If you are interested in one of these topics, or simply want to get started with data science in Python, then this is the course for you!
The course will teach you everything you need to know to professionally use NumPy. We will start with the basics, and then gradually move on to more complicated topics. As NumPy is the fundamental building block for other popular Python libraries like Pandas, Scikit-Learn and PyTorch, it’s a great library to get you started with data science in Python.

Why choose us?
This course is a comprehensive introduction to NumPy! We don’t shy away from the technical stuff and want you to stand out with your newly learned NumPy skills.
The course is filled with carefully made exercises that will reinforce the topics we teach. In between videos, we give small exercises that help you reinforce the material. Additionally, we have larger exercises where you will be given a Jupiter Notebook sheet and asked to solve a series of questions that revolve around a single topic. We give exercises on awesome topics like audio processing, linear regression, and image manipulation!

Topics we will cover:
We will cover a lot of different topics in this course. In order of appearance, they are:
•Introduction to NumPy
•Working with Vectors
•Universal Functions and Plotting
•Randomness and Statistics
•Making and Modifying Matrices
•Broadcasting and Advanced Indexing
•Basic Linear Algebra
•Understanding n-dimensional Arrays
•Fourier Transforms
•Advanced Linear Algebra
•Saving and Loading Data
By completing our course, you will be comfortable with NumPy and have a solid foundation for learning data science in Python.

Still not decided?
The course has a 30-day refund policy, so if you are unhappy with the course, then you can get your money back painlessly. If are still uncertain after reading this, then take a look at some of the free previews below, and see if you enjoy them. Hope to see you soon!

You will learn

✓ Learn to confidently work with vectors and matrices in NumPy.
✓ Learn basic functionality like sorting, calculating means, and finding max/min values.
✓ Learn to draw line plots, bar plots, and scatterplots.
✓ Learn to generate different types of random vectors.
✓ Learn to modify and reshape matrices to your advantage.
✓ Learn Boolean indexing and advanced slicing to extract useful information.
✓ Learn to do basic linear algebra in NumPy like solving linear systems, calculating inverses, and more!
✓ Get an understanding of how ndarrays work and utilize this to create fast code.
✓ Learn Fourier transforms with NumPy and use this to manipulate images and audio.
✓ Learn advanced linear algebra like the QR decomposition and partial least squares.
✓ Learn how to preserve your NumPy objects in different formats.
✓ Learn about neighboring libraries and that NumPy is used everywhere in Python’s data science stack.

Requirements

• A basic understanding of variables, lists, and functions in Python.
• Some knowledge of mathematics (linear algebra, complex numbers) is useful.
• No previous experience with Num
• Py is required!
• A willingness to write loads of Num
• Py code!

This course is for

• Anyone who wants to get a good understanding of NumPy.
• Students who want to implement topics like linear algebra, machine learning, and image processing in Python.
• Python developers who are curious about NumPy and data science!

How much does the Scientific Computing with NumPy 2021 - Python Data Science course cost? Is it worth it?

The course costs $11.99. And currently there is a 86% discount on the original price of the course, which was $84.99. So you save $73 if you enroll the course now.

Does the Scientific Computing with NumPy 2021 - Python Data Science course have a money back guarantee or refund policy?

YES, Scientific Computing with NumPy 2021 – Python Data Science has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Scientific Computing with NumPy 2021 - Python Data Science course, but there is a $73 discount from the original price ($84.99). So the current price is just $11.99.

Who is the instructor? Is TM Quest a SCAM or a TRUSTED instructor?

TM Quest has created 2 courses that got 92 reviews which are generally positive. TM Quest has taught 491 students and received a 4.8 average review out of 92 reviews. Depending on the information available, TM Quest is a TRUSTED instructor.
Technology and Mathematics Quest
Hi there! We’re a couple who love teaching about topics related to mathematics and informatics. Are you perhaps interested in data science or scientific programming? Check out any of our two courses on Udemy below.




We are planning on making many interesting new courses in the future. Do you have a suggestion for us? Don’t hesitate to send us a message.

9.8

CourseMarks Score®

9.9

Freshness

9.5

Feedback

9.4

Content

Platform: Udemy
Video: 5h 30m
Language: English
Next start: On Demand

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