This compact Python Data Analytics Course, aims to give you Python skills effectively, easy and without effort.
Remember, coding gets better with practice.
We promise to make it very interesting!
Prerequisite: Variables, Decisions, For Loops, While Loops, Print to and read from console, List Basics.
The Python basics course is also available .
Sessions daily 5:15 - 5:45 pm, Monday-Friday for 3 weeks , British Summer Time, or request time for your time zone
Only the Start Dates show on the website
Lesson 1: Create Custom Functions
Lesson 2: Create a class, create an object, self keyword
Lesson 3: Constructors, Super and self keywords
Lesson 4: Inheritance, Override, Class and Instance variables
Friday Revision: Request a topic
Lesson 5: Lists
Lesson 6: Dictionary Session 1
Lesson 7: Nested Dictionaries Session 2, Json Files: Reading and writing
Lesson 8: Numpy Arrays
Lesson 9: Numpy Arrays
Lesson 10: Pandas data frame, create and get info. Csv, Excel, Json to data frame.
Lesson 11: Pandas Data Frame, Slice and sampling random rows
Lesson 12: Pandas Data frame Filter and Sort
Lesson 13: Pandas Data frames. Working with nan values, calculations, functions
Lesson 14: Pandas Group, Join, Merge.
Try a 30 minutes webinar free. Choose you own topic from our course list.