Python A-Z™: Python For Data Science With Real Exercises!
$159.99
amazon.com
$53.99
$26.49
$31.06
What you’ll learn
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Learn to program in Python at a good level
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Learn how to code in Jupiter Notebooks
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Learn the core principles of programming
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Learn how to create variables
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Learn about integer, float, logical, string and other types in Python
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Learn how to create a while() loop and a for() loop in Python
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Learn how to install packages in Python
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Understand the Law of Large Numbers
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
Who 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
Olusanya Oluferanmi Favour –
It was amazing, There was a good customer service because my issues, complaint or questions got answered in the shortest possible time. Great service!
Akkahshh Agarwaal –
I did not quite like the advanced visualization section to be honest. Maybe it was too much information in one section, that is why.
Havva –
Tutor explains very well and in details. Also, he refers back to the previous lessons so this provides practice during the course. He connects the dots perfectly and compares with R programming sometimes. I really enjoyed the course even though it was my first experience in data analysis, thank you^^
Ashraful Islam Bhuiyan –
Absolutely stunning course for Python beginners! This course is very rich with examples and exercises.
Highly recommend this course.
Cheers!
Aman kumar –
great for students of data analysis as it is more inclined towards that direction and as always Kirill made this course so simple even a 14 yr old can understand this
Sitaram Cherukuvada –
Nice course! Loved the focus on advanced visualizations that are very relevant for a data scientist to build the story!
Oleksii Koziichuk –
Great course. However, I would have given 5 stars if the guys who run homework solutions were not unenthusiastic, unprepared, and almost unhelpful. They can be replaced by posting the solutions.
Bartlomiej Czajka –
Kiril’s videos were great, the instructor for the assignment videos was very poor.
Otherwise, the course was very well presented and useful.
Esteban Premuz –
The huge amount of typos was extremely distracting but other than that it was a very nice course.
Sunny Gupta –
This course if really good to start Data science with python.
Jainendra Tiwari –
This was an amazing course to gut you started with python and specially visualizations in python. Great job by Kirill.
Sven Vukomanovic –
Excellent course. Really good for beginners to develop foundational skills with advanced techniques included. Thank you for putting this together!