Python Fundamentals
Python Fundamentals provides you with the foundational skills you will need to be able to apply Python in the world of finance. Build on your excel skills to develop core competency efficiently and prepare for the real deal, applied machine learning in the world of finance.
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5
Hours to Complete
5
Topics
11
Practical exercises
Python Fundamentals includes
- Downloading Anaconda
- Introducing Jupyter Notebook
- Mathematical Operators
- Text Outputs
- Dynamic Outputs
- Accessing List Objects
- Changing List Objects
- More List Functions
- Tuples
- Sets
- Using Sets to Remove
- Duplicates
- Set Operations
- Dictionaries
- Accessing Dictionary
Items - Creating Custom Functions
- Solution
- Adding Arguments
- For Loops
- Filing a List For
Loop - Conditional Logic
- Importing Libraries
- NumPy
- NumPy Arrays
- Multidimensional Arrays
- Reshape and Transpose
- Selecting Objects
- Array Calculations
- Array Functions
- The Random Module
- Setting a Random Seed
- Random Sampling with
- Generating Sequences
- Pandas
- Importing Data
- Import From
- Get to Know Your Dataframe
- Summary Statistics
- Series
- Series Functions
- Feature Engineering
- Boolean Masks
- Indicator Variables
- Segmenting with
Python Fundamentals
| skills-certificate
Python Fundamentals
5
hours
11
Practical exercises
1
Exam
Python Fundamentals provides you with the foundational skills you will need to be able to apply Python in the world of finance. Build on your excel skills to develop core competency efficiently and prepare for the real deal, applied machine learning in the world of finance.
Introduction to Python
36 video minutes
2 excel exercises
Video minutes 36
Excel Exercises 2
Python Objects
54 video minutes
2 excel exercises
Video minutes 54
Excel Exercises 2
Custom Functions
35 video minutes
2 excel exercises
Video minutes 35
Excel Exercises 2
NumPy
39 video minutes
2 excel exercises
Video minutes 39
Excel Exercises 2
Pandas
31 video minutes
3 excel exercises
Video minutes 31
Excel Exercises 3
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