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Applying Data Analytics in Finance
Explore advanced techniques in financial modeling and portfolio management using cutting-edge data analytics tools and quantitative methods.
Course Cost
₹ 2,699
Intermediate
Skill Level
21 Hours
Self-paced lessons
This intermediate-level course introduces you to the application of data analytics in finance. You'll learn to analyze time series data, build forecasting models, and evaluate the risk-reward trade-off in modern portfolio theory. The course covers techniques for analyzing financial data, particularly stock prices and returns, but the skills are applicable to other domains. You'll explore forecasting processes, time series analysis, ARIMA modeling, and an introduction to algorithmic trading. By the end of the course, you'll be able to create and evaluate forecasts, build optimal portfolios using real stock price data, and understand the basics of algorithmic trading. This practical course equips analysts, managers, and consultants with essential skills for leveraging financial data in decision-making processes.
25,260 Enrolled
English
What you'll learn
Understand and apply various forecasting techniques in finance
Analyze time series data and evaluate forecast accuracy
Develop and interpret ARIMA models for financial forecasting
Apply concepts of modern portfolio theory to optimize investment portfolios
Evaluate risk-reward trade-offs in financial decision-making
Use R programming for financial data analysis and modeling
Understand the basics of algorithmic trading and its application
Apply data analytics techniques to real-world financial problems
Skills you'll gain
This course includes:
4.5 Hours PreRecorded video
21 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course on Applying Data Analytics in Finance equips learners with practical skills to leverage data in financial decision-making. The curriculum is structured into five modules, covering a range of topics from basic forecasting techniques to advanced time series analysis and modern portfolio theory. Students begin by exploring the fundamentals of financial analytics and time series data, learning various forecasting methods and performance measures. The course then delves into more sophisticated analytical techniques, including Holt-Winters models and ARIMA (Autoregressive Integrated Moving Average) modeling. A significant portion of the course is dedicated to understanding and applying concepts from modern portfolio theory, teaching students how to balance risk and return in investment portfolios. The final module introduces the basics of algorithmic trading, providing insight into how data analytics is reshaping financial markets. Throughout the course, students gain hands-on experience using R for financial analysis, making the learning process both theoretical and practical. This course is ideal for finance professionals, data analysts, or anyone looking to enhance their quantitative skills in the financial domain.
Course Introduction
Module 1 · 1 Hours to complete
Introduction to Financial Analytics and Time Series Data
Module 2 · 5 Hours to complete
Performance Measures and Holt-Winters Model
Module 3 · 5 Hours to complete
Stationarity and ARIMA Model
Module 4 · 4 Hours to complete
Modern Portfolio Theory and Intro to Algorithmic Trading
Module 5 · 6 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.6
49
Reviews
25,693
Students
1
Course
4.6
49
Reviews
25,693
Students
1
Course
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.