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Python A-Z™: Python For Data Science With Real Exercises!

Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization
4.6
☆☆☆☆☆ 4.6/5
(24,071 reviews)
143,606 students
Created by
Kirill Eremenko

9.7

CourseMarks Score®

10.0

Freshness

9.2

Feedback

9.4

Content

Detailed Analysis »

Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis
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Platform: Udemy
Price: check current price
Video: 11h 11m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.7 / 10

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

Freshness Score

10.0 / 10
This course was last updated on 6/2022.

Course content can become outdated quite quickly.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

9.2 / 10
We analyzed factors such as the rating (4.6/5) 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: 9.3 / 10
The course includes 11h 11m 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.
The average video length is 7 hours 31 minutes of 1,582 Python courses on Udemy.
Detail Score: 9.3 / 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: 9.5 / 10

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

This course contains:

7 articles.
0 resource.
0 exercise.
0 test.

Table of contents

Description

  What you'll learn
  Requirements
  Who this course is for
FAQ
  Price
  Refund policy
  Scholarships
Instructor
Recommended courses

Description

Learn Python Programming by doing!
There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different!
This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.
After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.
This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.
In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!
I can’t wait to see you in class,
What you will learn: 
•Learn the core principles of programming
•Learn how to create variables
•How to visualize data in Seaborn
•How to create histograms, KDE plots, violin plots and style your charts to perfection
•Learn about integer, float, logical, string and other types in Python
•Learn how to create a while() loop and a for() loop in Python
•And much more….
Sincerely,
Kirill Eremenko

You will learn

✓ Learn to program in Python at a good level
✓ Learn how to code in Jupiter Notebooks
✓ Learn the core principles of programming
✓ Learn how to create variables
✓ Learn about integer, float, logical, string and other types in Python
✓ Learn how to create a while() loop and a for() loop in Python
✓ Learn how to install packages in Python
✓ Understand the Law of Large Numbers

Requirements

• No prior knowledge or experience needed. Only a passion to be successful!

This course is for

• This course if for you if you want to learn how to program in Python
• This course is for you if you are tired of Python courses that are too complicated
• This course is for you if you want to learn Python by doing
• This course is for you if you like exciting challenges
• You WILL have homework in this course so you have to be prepared to work on it

How much does the Python A-Z™: Python For Data Science With Real Exercises! course cost? Is it worth it?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $20.1 of 1,582 Python courses. So this course is 25% cheaper than the average Python course on Udemy.

Does the Python A-Z™: Python For Data Science With Real Exercises! course have a money back guarantee or refund policy?

YES, Python A-Z™: Python For Data Science With Real Exercises! 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 Python A-Z™: Python For Data Science With Real Exercises! course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who is the instructor? Is Kirill Eremenko a SCAM or a TRUSTED instructor?

Kirill Eremenko has created 60 courses that got 573,423 reviews which are generally positive. Kirill Eremenko has taught 2,124,484 students and received a 4.6 average review out of 573,423 reviews. Depending on the information available, Kirill Eremenko is a TRUSTED instructor.

More info about the instructor,

Kirill Eremenko

Data Scientist
My name is Kirill Eremenko and I am super-psyched that you are reading this!
Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to thousands of aspiring data scientists.
From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!
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Kirill Eremenko's full profile and courses »
Go to class »

9.7

CourseMarks Score®

10.0

Freshness

9.2

Feedback

9.4

Content

Detailed Analysis »

Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis
Go to class »
Platform: Udemy
Price: check current price
Video: 11h 11m
Language: English
Next start: On Demand

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