Managing Financial Data using Python

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Basic Info : Managing Financial Data using Python
Level : Advanced
Commitment  : 14 hours
Language : English
Scheduled Date : 14th July 2024



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:

  • demonstrate an understanding of fundamental Python programming concepts and syntax
  • utilise Python libraries commonly used in financial analysis, such as Pandas, NumPy, and Matplotlib.
  • identify opportunities to network with industry professionals, which can be beneficial while pursuing a career in financial analysis and financial markets
  • generate examples of various case studies focusing on managing financial data using python
  • apply concepts to manipulate and transform financial data using Python
  • visualize financial data using Python to identify trends and patterns




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
  • 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

   Interact, Learn and Grow enables you to master the concepts, interact with expert faculty and other learners and be a part of the community whilst growing.

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