Nearly every industry is generating a vast amount of data and nearly every business leader today understands the importance of making sense out of that data to drive business strategy. Companies need more from Finance than just accurate financial statement analysis. They need predictive insights which can improve their real-time day to day decision making. Finance analytics enables to combine internal financial information with external information by using social media and big data to provide predictive insights. Whether it is with respect to stock market prediction or customer profitability, finance analytics enables to provide a direction in predicting all.
This course blends easy-to-use statistical tools with complex machine learning tools and algorithms to equip the participants with the requisite skill sets in analyzing data. By the end of this course, the participants should be able to perform the required financial analysis using powerful tools like R and Python.
Certificate of Completion from XLRI
- Opportunity to earn a certificate of completion from XLRI
Learn Powerful Tools like R and Python
- Practical knowledge to perform financial analysis using R and Python
Thoughtful Mix of Theory and Practical Applications
- Unfolds every aspect of theory and practical applications related to Financial Analytics
Modelling Stock Prices using Machine Learning
- From stock market predictions to customer profitability, finance analytics helps in predicting all
Hands-on Experience in Building Advanced Financial Models
- This course prepares you to perform exploratory and predictive analysis in Finance
Eminent Faculty of XLRI
- Lectures imparted by eminent and experienced faculty
Who Should Attend
Finance professionals aspiring to learn the application of analytical tools in Finance
Practitioners whose role requires dealing with voluminous and complex financial information
Analysts who need to deploy tools to aid in the financial decision making process
*Program faculty is subject to change
- Quick introduction to R and Python
- Understanding data in finance, sources of data
- Cleaning and pre-processing financial data
- Exploratory Data Analysis in Finance
- Building Models using Accounting Data
- Understanding stock price behaviour, time series analysis in finance
- Valuation of Stocks
- Forecasting stock prices using machine learning
- Credit risk modeling
- News analytics (accessing news using web scrapping) and sentiment analysis in finance
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Last updated December 24, 2020
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- USD 8,400