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EVENT DETAILS |
One Week Online Live Course, Total in class hours 35,
Mon, Apr 6, 10:00 a.m. - 5:00 p.m. EDT
Tue, Apr 7, 10:00 a.m. - 5:00 p.m. EDT
Wed, Apr 8, 10:00 a.m. - 5:00 p.m. EDT
Thu, Apr 9, 10:00 a.m. - 5:00 p.m. EDT
Fri, Apr 10, 10:00 a.m. - 5:00 p.m. EDT
RSVP & READ SYLLABUS: https://pythonair.com/online-Python-for-Data-Science?utm_source=meetup&utm_medium=organicsocial&utm_campaign=pythonfordatascience
Data Science Immersive is a registered trade mark of Practical Programming
ABOUT THE COURSE
Online Python for Data Science Immersive is a week-long comprehensive course with an emphasis on the practical application of Python to data analysis. In the first two days we cover Python's built-in data types, explaining differences in the behavior of data structures, laying a foundation for the more complex NumPy & Pandas structures.
WHAT TO EXPECT FROM THIS COURSE
A deep understanding of data types prepares users to solve real-life challenges with the right tools in the most efficient manner. Also, it is important to understand why some of the types are faster & some are just an extension of others. In this course we are not covering in-depth mathematical & statistical concepts, rather we master practical usage of the Python programming language & its extensions NumPy & Pandas.
WHAT TO EXPECT:
When you sign up for this course, you should also be prepared to work hard. While we do explain all of the concepts thoroughly & have notes on each lesson that you can refer back to, we follow up each lesson with practice problems to reinforce the material. We code almost seven hours a day with breaks for lunch & coffee.
WHAT YOU WILL LEARN
- Fundamental introduction to Python
- Python native Data Types.
- NumPy, Pandas, & Matplotlib
- NumPy Array, Series, & DataFrame
- How to write fast & efficient code
- Data visualization
Prerequisites & Preparation:
Laptop or desktop computer & Internet Access
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