Python for Finance

Get to know the basis of Python coding and taking them proficient enough to create their own simple Python programs for finance use-cases


Amogh Athalekar

Batch Starting On : 12th Feb 2024

Live Doubt Solving : Sundays 12:30pm - 1:30pm

Course Curriculum

  • Anaconda
  • Jupyter Notebook
  • Kaggle
  • Arrays
  • Universal functions
  • Conditional Filtering
  • Advance Filtering
  • Nested Lists
  • Dimensional Array
  • User-defined functions
  • Project – Calculating
  • Payback Periods
  • Working with time series data
  • Importing stock price data
  • Measuring risk and return
  • Calculating portfolio performance
  •  Correlation and Normalizing time series
  • Variables
  • Print
  • Lists
  • Indexing
  • Loops
  • Range Object
  • Data Types
  • Built-in Functions
  •  Strings
  • Operators
  • Conditional Statements
  • Pass, Continue, Break
  • While Loops
  • Dataframe
  • In-built functions
  • Loc / iloc
  • Matplotlib
  • Numerical series
  • Sorting dataframes
  • Filtering dataframes
  • Handling null values
  • Exporting data
  • Group by Object
  • Splitting with multiple keys
  • Stack and unstack functions
  • Creating equity indices and measuring performance
  • Creating and backtesting a trading strategy

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No, The contents of your course will be available on your dashboard, which can be viewed at all times within the subscription access.

The curriculum is designed in a way that it grows from beginner to advanced level and is suitable for all.

You will receive a confirmation email soon, if in case you don’t receive the same your money will be refunded within 1 week back to the original payment source.

No, The course helps you learn from scratch and it is suitable for all beginners as well as advanced learners.

The course offered by LeapUp is a combination of live+pre-recorded video lectures.

The duration of the course is across 6 Weeks. The content is accessible through Leapup’s LMS and the live doubt solving sessions are conducted through Zoom platform.


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