|2018 - Fundamental of Statistics using R (LIC-MFDS-1)|
Covering Basic concepts of statistics such as interpreting data, probability distributions, and time series. Using R to solve practical data analysis problems such as regression analysis and feature selection
|2018 - Visual Analytics with Tableau (MFDS-DA)|
Data visualization is an essential key to understand the data for any further analysis. It is also very useful tool for communicating results and concepts during presentations. In this course, you'll learn how to make the data work for you so...
|2018 - Financial Mathematics (MFDS-FM)|
Learning mathematical techniques that are used for financial applications
|2018 - Data Science and Machine Learning (MFDS-ML)|
Learning data science tools and algorithms such as random forest, decision tree, clustering, and KNN, SVM, neural networks, NLP, and basic Deep Learning.
|2018 - Python programming (MFDS-PY)|
Python programming and its use in the filed of data science and finance.
|2018 - Advanced Python programming (MFDS-PY2)|
Advanced Python programming for data science and mathematical finance applications.
|2018 - Soft skills and job landing (MFDS-SS)|
Interview Skills, Resume, cover letter, Networking etc.
|2018 - Advanced Excel with VBA|
|2019 Fundamentals of Data Science|
|Fall 2019 Advanced Excel for reporting & analytics|