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Python for Financial Professionals
Module 1 - Introduction to coding for financial professionals
Introduction (1:06)
What is coding and what is it used for? (1:05)
A practical example of why coding is useful (2:38)
Why do financial professionals need to learn about it? (1:16)
What is this course all about? (0:50)
Module Summary (0:56)
Module 2 - Some coding basics
Introduction (1:00)
Template to download
Some basics (9:08)
Summary of basics (3:22)
Module Summary (0:23)
Module 3 - What language will we use?
Introduction (0:16)
Languages (0:33)
What languages will we learn and why? (1:48)
How is Python used? (1:27)
Practical application of Python code (1:10)
Module Summary (0:15)
Module 4 - Where to start the conversation
Introduction (0:36)
What is an IDE? (0:49)
Creating and using a Google Colab Notebook (5:56)
Module Summary (0:15)
Module 5 - Getting started with Python
Learning the language (0:50)
Data types introduction (8:47)
Check the data type (1:16)
Variables (10:10)
Syntax reminders (4:12)
Module Summary (0:34)
Module 6 - Arithmetic operators, functions and databases
Introduction (0:21)
Arithmetic operators (5:57)
Introduction to Functions (7:18)
Functions (3:59)
Module Summary (0:18)
Module 7 - Increasing your vocabulary with libraries and databases
Introduction to increasing your vocabulary and toolset (0:50)
Libraries (2:31)
Creating, Importing and Using Dataframes (11:43)
Project 1 - Basic practice example
Module Summary (0:29)
Module 8 - Coding hacks
Introduction to coding hacks (0:40)
Some coding hacks
Module summary (0:24)
Module 9 - Project 2 - Data analytics
Introduction (0:16)
Template data (2:13)
Project 2 - Data Analysis Part 1
Project 2 - Data Analysis Part 2
Module 9 - Project 3 - Automation
What is required
Module 9 - Project 4 - Advising the board
Project 4 Scenario
Project 4 - Part 1 - Think like a coder
Project 4 - Part 2 - Make Decisions (15:08)
Module 10 - Conclusion
Course Summary (1:14)
A practical example of why coding is useful
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