Managing Financial Data using Python

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Basic Info : Managing Financial Data using Python
Level : Basic
Commitment  :14 hours. 2 hour/day – (Live Interactive – Weekend Batch)
Language : English
Schedule Date : To Be Announced Soon



What Will I Learn

When you are done with this course, you will be able to:

  • Demonstrate an understanding of fundamental Python programming concepts and syntax.
  • Utilize 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.
  • Visualize financial data using Python to identify trends and patterns.
  • Discuss types of Technical Indicators

Curriculum

  • 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
  • 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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