Description
The 14-hour course - Managing Financial Data using Python, introduces learners to the fundamentals of using Python for financial analysis and data management. It covers a range of topics including reading financial data into Python, data manipulation and cleaning, and more. The course emphasizes the use of popular Python libraries such as Pandas, Matplotlib, and NumPy, to analyze and manage financial data. The course is suitable for financial analysts, investment professionals, and others who want to develop their skills in using Python for financial analysis. By the end of the course, learners will have a solid foundation in using Python to analyze financial data and build financial models
What Will I Learn
You will be able to:
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Curriculum
Python Lists
- Points need to know about Python
- Big Companies Using Python
- Variables and Types
- Bool: - converts a value to Boolean (True or False)
- Output
- How to take input in python?
Operators
- Operators
- Conditions
- Data type Conversation
- Numerical Functions
- String
Membership, List, Table and Tuple
- Membership
- List
- Python List Comprehension
- Table
- Tuple
- Dictionary
- Set
- Date and Time Function
- How to Create, Edit, Write, Read Text File using Python?
- If_elif_else
- for loop
- While Loop
- NumPy library
- Arithmetic
- Indexing a 2D array (matrices)
- More NumPy inbuilt functions
- Pandas
- Missing Data using Pandas
- Dataframe
- (Group by) in Pandas
- Operation on Tables
- Merging table
- Matplotlib
How It works
Live Online Sessions Each session is interactive and informative, featuring case studies, quizzes and projects |
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