Advanced Data Science Certificate Program
- Rotman School of Management (UofT) & IIT Jammu
Advanced Data Science Program Overview
Acquire global level data literacy with the world-class Rotman School of Management (University of Toronto) & IIT Jammu Advanced Data Science Certificate Program. This experiential, innovative and holistic program is specially designed for talented individuals seeking a transformative learning experience in data science. Participants will get exposure to the new age data analytics tools and techniques to extract insights from real-world data.
The program pedagogy consists of an interdisciplinary curriculum and interdepartmental collaborative efforts of Rotman School of Management, Department of Statistical Sciences and Computer Science Department of the University of Toronto in design and delivery.
- Leverage Internationally Recognized Instructors with combined academic excellence and extensive industry experience
- Exposure to examining the subjects and concepts from different approaches and all related to the real business world
- Seek engaging insights through discussions, assignments, practices, and case studies
Advanced Data Science Program Highlights
Interdisciplinary Curriculum
Synchronous and Asynchronous Online Lectures
Guest Speakers and Panel Discussion
Assignments and Presentations
Program Portal and Online Learning Hub
Case Studies and Interactive Activities
Technical Support for Online Teaching and Learning Platform
Privilege to Alumni network – Rotman Connect
Top-tier faculty from Rotman School of Management & IIT Jammu
Admission Criteria
Eligibility
- Minimum 2+ years of work experience in the field of Engineering
- For professionals, who are looking for a career transition in the Data Science field
Program Schedule
- Weekend Lectures: 2.5 hours
- No. of sessions: 40
Assessment
Syllabus Breakdown
Program Modules
- Data Science Pathway
- Building a Data-driven Organization
- Statistics for Data Science
- Programming and Data Tools
- Data Structure and Algorithm
- Data Collection and Preparation
- Data Modelling
- Big Data Analytics
- Artificial Intelligence and Machine Learning
- Geospatial Data Analysis and Applications
- Clustering Analysis and Factor Analysis
- Qualitative Research and Applications
- Network Analysis and Business Applications
- Data Visualization and Communication
2.5 hours Weekend Classes
2 hours Doubt Solving
Real time case study
2 Hours Lecture
40 Sessions
Note:*The in person sessions such as Virtual Live Classrooms and Campus immersions are subject to prevailing government rules pertaining to the pandemic. Jaro Education / Institute will keep all candidates updated accordingly.
About Rotman School of Management (University of Toronto)
1
24
15
for Faculty in the world by FT Rankings 2020
About IIT Jammu
IIT Jammu’s vision is to create an excellent educational environment, with the goal of producing world-class professionals who will be well prepared to take on the challenges of the 21st century in the field of technology and science.
Know the Facilitators
Program Structure
16th April 2023
16th July 2023
Learners Speak
The Jaro Advantage
Career Transitions
Jaro Expedite - Career Booster
Career Counselling
Get personalised career pathing from experts to chart out the best opportunities.
Resume Feedback
Obtain specific, personalised inputs on your resume structure and content.
Interview Preparation
Job Placement
Get an opportunity to interview for 300+ hiring companies partnered with jaro Education.
Note: Jaro Education or Rotman School of Management (University of Toronto) do not guarantee or promise you a job or advancement in your existing position. Career Services is simply provided as a service to help you manage your career in a proactive manner. Jaro Education provides the Career Services described here. Rotman School of Management (University of Toronto) is not involved in any way with the Career Services described above and offer no commitments.
Build 21st-Century Skill set to Gain Career Edge in the VUCA World
You’ll learn
- Advanced statistical & data engineering skills
- Hands-on exposure to data science projects
- Gain capabilities to adopt and evaluate various data analytics tools, such as Dashboards, Machine Learning, Prediction Models, and Regression Analysis
- Visualization techniques to represent data effectively to understand when to use and how to interpret descriptive, predictive, and prescriptive analytics
- Mindsets and techniques to apply scientific thinking to business, such as examining cause and effect in data analysis and actualizing a business idea
- A deeper understanding of how to build a data-driven organization, including managing privacy and security concerns and developing strategies for cultivating evidence-based decision-making
