Data Science For Finance Professionals
in CoursesAbout this course
● Statistics
● Data visualization in python
● EDA
● Regression
● Supervised Machine Learning
● Unsupervised Machine Learning
● Ensemble Techniques
● Association Rule
● Recommendation system
● Feature Engineering
● Hyperparameter Tuning
● Introduction to Deep Learning
● Computer Vision
● Natural Language Processing
● ML and AI applications in the BFSI Sector
● Customer acquisition and customer support in the BFSI sector
● Banking applications of Data Science
● InsurTech Applications
● Applications in the wealth management industry
● Macroeconometric Forecasting
● Trend and seasonality
● Decomposition
● Smoothing
● SES, Holt & Holt-Winter Model
● AR, Lag Series, ACF, PACF
● Sequences and Prediction
● Deep Neural Networks for Time Series
● Recurrent Neural Networks for Time Series
● Stationarity and Time Series Smoothing
● ARMA, ARIMA, VAR and VECM methods.
● Survival Analysis Forecasts
● Assignments for assessment
● Projects
● Internship
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