Join our friendly Python programming course tailored for data analytics and data science. Learn step-by-step with real-life examples!
This course makes learning Python for data analytics super easy and fun with a step-by-step style that builds on what you already know. You'll tackle some real-world data challenges along the way!
Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization
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
Learn to program in Python at a good level
Learn how to code in Jupiter Notebooks
Learn the core principles of programming
4 Lectures
9 Lectures
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12 Lectures
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9 Lectures
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...
Hi there,We are the SuperDataScience team. You will hear from us when new SuperDataScience courses are released, when we publish new podcasts, blogs, share cheat sheets, and more!We are here to help you stay on the cutting edge of Data Science and Technology. See you in class,Sincerely,SuperDataScience Team!
Hi there,We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more!We are here to help you stay on the cutting edge of Data Science and Technology.See you in class,Sincerely,The Real People at Ligency
I bought this course after completing course on R by Kirill. It was very easy to follow and understand. Highly recommend for beginners.
I started off with 0 python experience. I find the exercises easy to follow, and the sections on visualization very helpful to complement my finance experience.
Really Greate Explanation by Kirill. Make it very easy to understand beginners this beautiful Python Course. I would recommend this to others! Thank you very much!!
greatttttttttt thanks a lot!
Good overview of Python data basics, plus a lot of information on creating professional visualizations.
There are no depth in the examples, such as "why the square root of 144 gives a float (12.0 instead of 12)".
The video also steered away from the F-string in string operations, or the concept of concatenation.
Good Course
Instructor has organized and structured the course really well, This is a great course to learn about Pandas and its use for Data Science.
very informative
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Belal A.
amazing work, thanks guys