About This Course
Machine learning is a topic which is leading the trend in the transformation of organisations from
digitisation to data driven. This course aims to expose the learner to the code underpinnings of
constructing and assessing a subset of the machine learning tasks, namely the classification, time
series and clustering/feature extraction tasks. The objective is to target commonly encountered tasks
in the space of financial data analysis. Participants will be able to gain familiarity in such tasks and
have a deeper understanding of tackling them.
This course should be attended by those are who are keen to explore the challenges in dealing with
finance and machine learning. Applicable to students, working professionals and PMETs.
Quarter 2: June 27-28
Quarter 3: September 12-13
Quarter 4: December 19-20
This course expects that learners come in a basic understanding of python, from there we will
build upon their understanding and teach from a data point of view.
What you'll learn
In this course, you will learn how to:
- Construct analytics models/results as part of solutions to address business problems
- Evaluate the performance of analytics models
- Analyse the results or outputs of analytics models
- Evaluate the importance of features which are used
- Understand how to reduce features
Renuga is a highly accomplished and dynamic international trainer. She holds a Bachelor of Technology in
Information Technology degree from Anna University, Chennai, following which she is awarded a Master
of Engineering in Computer Science and Engineering degree from the same university.
She has shouldered responsibilities in making an effective contribution to teaching and learning in various
disciplines, modelling teamwork and flexibility to ensure pedagogical and commercial success. She has the
ability to apply innovative teaching methods to encourage trainees’ learning objectives and stay abreast
of developments within new technologies to improve curriculum, develop new research.
Renuga has published various papers in the international journal. Her efforts and excellence have been
acknowledged and awarded at various dignified platforms and forums. She has received the “Smart India
Hackathon Award” and Best Result Producer Award”.
She is currently working as a data science trainer with Xaltius and teaches corporate professionals, students
and PMETs in the areas of Programming, Data Science and Analytics.
Frequently Asked Questions
What web browser should I use?
The Open edX platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.
See our list of supported browsers for the most up-to-date information.
Your answer would be displayed here.