Python for Data Science Immersive

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Python for Data Science Immersive

Start Date: July 6, 2020, 11 a.m.

  • Session 1   Jul 06 11 a.m. - 6 p.m. US ET
  • Session 2   Jul 07 11 a.m. - 6 p.m. US ET
  • Session 3   Jul 08 11 a.m. - 6 p.m. US ET
  • Session 4   Jul 09 11 a.m. - 6 p.m. US ET
  • Session 5   Jul 10 11 a.m. - 6 p.m. US ET

During this course we solve many real-world financial, statistical, and analytical problems. This course is a MUST if you still use EXCEL.

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: 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 Syllabus

Monday 10.00am - 5.00pm
  • Variables
  • Numeric Data Types: Int & Float
  • Sequential Types: Str & List
  • Definite Loops: For loops
  • If-Elif-Else Statements
  • Data Types: Tuples
  • Practical Exercises
Tuesday 10.00am - 5.00pm
  • Creating Custom Functions
  • Indefinite Loops: while loops
  • Data Types, Dictionary and Set
  • Slicing Data Types
  • Reading txt files with Python
  • Practical Exercises
Wednesday 10.00am - 5.00pm
  • NumPy Array
  • Broadcasting and U-Functions
  • Introduction to Pandas
  • Series, DataFrame, Panel
  • Practical Exercises
Thursday 10.00am - 5.00pm
  • 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 10.00am - 5.00pm
  • Get live data from APIs
  • Plot data with Matplotlib
  • Merge and Concat Data
  • Groupby in Pandas
  • Final project
  • Review and Q&A

  • Follow us :

On-Line Course Click to RSVP: Python for Data Science Immersive Mar 30 10 a.m.US ET On-Line Course Click to RSVP: Introduction to Python Mar 30 6 p.m.US ET On-Line Course Click to RSVP: Python Immersive Mar 30 10 a.m.US ET On-Line Course Click to RSVP: Python Fundamentals | Learn Python Online Free Mar 26 6 p.m.US ET On-Line Course Click to RSVP: Machine Learning Immersive Apr 27 10 a.m.US ET