[Online] Python for Data Science Immersive

* THIS IS A PAID WORKSHOP.One Week Paid Course, Total in class hours 35, Mon, September 28th, 11:00 a.m. - 6:00 p.m. EDT Tue, September 29th, 11:00 a.m. - 6:00 p.m. EDT Wed, September 30th, 11:00 a.m. - 6:00 p.m. EDT Thu, October 1st, 11:00 a.m. - 6:00 p.m. EDT Fri, October 2nd, 11:00 a.m. - 6:00 p.m. EDT RSVP and READ SYLLABUS HERE: https://pythonair.com/online-Python-for-Data-Science [https://pythonair.com/online-Python-for-Data-Science] During this course we solve many real-world financial, statistical, and analytical problems. This course is a MUST if you still use EXCEL. ABOUT THE COURSE: 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 and Pandas structures. 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 and some are just an extension of others. In this course we are not covering in-depth mathematical and statistical concepts, rather we master practical usage of the Python programming language and its extensions NumPy and Pandas. WHAT TO EXPECT FROM THIS COURSE: When you sign up for this course, you should also be prepared to work hard. While we do explain all of the concepts thoroughly and 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 and coffee. ONLINE PYTHON FOR DATA SCIENCE IMMERSIVE SYLLABUS: Monday 11.00am - 6.00pm: Variables Numeric Data Types: Int & Float Sequential Types: Str & List Definite Loops: For loops If-Elif-Else Statements Data Types: Tuples Practical Exercises Tuesday 11.00am - 6.00pm: Creating Custom Functions Indefinite Loops: while loops Data Types, Dictionary and Set Slicing Data Types Reading txt files with PYTHON Practical Exercises Wednesday 11.00am - 6.00pm: NumPy Array Broadcasting and U-Functions Introduction to Pandas Series, DataFrame, Panel Practical Exercises Thursday 11.00am - 6.00pm: 5 ways to create a DataFrame Slicing and Filtering DataFrame Lambda Run If and Else scenarios Gather and Manipulate Data with Pandas Practical Exercises Friday 11.00am - 6.00pm: Get live data from APIs Plot data with Matplotlib Merge and Concat Data Groupby in Pandas Final project Review and Q&A Prerequisites & Preparation: Laptop or desktop computer & Internet Access Check out Newsweek s article to learn about PRACTICAL PROGRAMMING: https://www.newsweek.com/insights/the-top-online-coding-schools-of-2020/practical-programming [https://www.newsweek.com/insights/the-top-online-coding-schools-of-2020/practical-programming]