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Certificate Program in Machine Learning for Quantitative Finance

Certificate Program in Machine Learning for Quantitative Finance

TOTAL DURATION CERTIFICATION VALIDITY COURSE TYPE
2 Months No Expiry Date Online

For further information, contact

Siddharth: 86556 47408

Email: programinfo@nse.co.in

Certificate Program in Machine Learning for Quantitative Finance is a program for aspiring finance executives, enthusiasts, working professionals & students to provide them practical exposure to Machine Learning, the course has been designed in a way to provide & ensure that conceptual knowledge is imparted with the perfect blend of industry practices.

The curriculum emphasises the development of knowledge, and execution abilities. Knowledge of Probability, Statistics, and Machine Learning are essential for anyone who want to understand and take a dive into Quantitative Finance.

You will explore best practices alongside the instructor(s) from IIM Sirmaur. Upon completion, you will be ready to tackle complex modeling cases in practice.

  • Explore probability theory, probability distributions, descriptive and inferential statistics.
  • Learn about Machine Learning, Supervised Learning, Regression Model, Time Series Models, Volatility Forecasting, Unsupervised Learning
  • Forward-looking Curriculum

Participants will learn the elements of Machine Learning, Supervised Learning, Regression Model, Time Series Models, Probability Theory, Probability Distributions, Descriptive and Inferential Statistics.

  • Pedagogy

A highly engaging mix of learning methodologies such as self-paced introductory modules, live lectures and simulations that will help you accelerate your learning journey.

  • Peer Learning and Networking

Participants will get an opportunity to meet and interact with peers as part of this program. Network and build meaningful relationships by sharing your experiences.

  • Prestigious Certificate form IIM

Joint Certificate of Completion from IIM Sirmaur and NSE Academy on fulfilling the certification criteria.

Introduction Module – Self Paced

  • Introduction to Programming in R
  • Introduction to Programming in Python

Introduction to Probability & Statistics

  • Probability Theory
  • Probability Distributions
  • Descriptive and Inferential Statistics NPV and IRR

Machine Learning for Quantitative Finance

  • Introduction to Machine Learning
  • Supervised Learning
  • Regression Model
  • Time Series Models
  • Volatility Forecasting
  • Unsupervised Learning
Updated on: 27/08/2024