9007116752
c3creativedomain@gmail.com
C-Cube
Centre of Computer Education
1) Learn the basics of Financial markets and instruments.
2) Learn to use Python language for Financial Analysis
3) Master Excel for Financial Data analysis and Visualization.
4) Apply Data Analysis techniques to real-world Financial Data
5) Create reports and visualizations using Python and Excel
Training Partners
Financial Data Analytics
Need for Financial Data Analytics
This course covers the integration of financial concepts and Python programming with Excel, enabling students to analyze and visualize financial data more efficiently. Students will learn to use Python libraries such as pandas, NumPy, and matplotlib to work with financial data, and to create visualizations and reports using Excel.
- Overview of financial markets and instruments (stocks, bonds, derivatives, etc.)
- Introduction to financial data analysis and visualization
- Introduction to Python programming language
- Basic syntax and data types in Python
- Variables, operators, control structures, and functions in Python
- Introduction to NumPy and pandas’ libraries
- Reading and writing CSV files with pandas
- Data manipulation and cleaning with pandas
- Data visualization with matplotlib
- Basic statistical analysis with pandas
- Introduction to Excel programming with VBA
- Creating macros and automating tasks in Excel
- Working with Excel formulas and functions
- Using Excel for financial data analysis (charts, tables, etc.)
- Creating custom reports and dashboards in Excel
- Using Excel’s built-in functions for financial analysis (e.g. XNPV, XIRR)
- Using regression analysis with Python and Excel
- Using Monte Carlo simulations with Python
- Advanced data visualization techniques with matplotlib and Seaborn
- Students will work on a project that applies the concepts learned in the course to a real-world financial problem or dataset
- Students will create a report and presentation using Python and Excel