
- Course Duration
8 Months
- Batch
02
- Programme Type
Dual Certification
- Session Timing
Saturday 6:00 pm to 8:30 pm
Admission Criteria

- Graduate /Diploma Holder
- 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
About Rotman School of Management (University of Toronto)
Established in 1827, the University of Toronto is recognized worldwide as Canada’s top research university, a reputation that will add value for students who aspire to careers with global dimensions. The Rotman School of Management is part of the University of Toronto, a global centre of research and academic excellence at the heart of Canada’s multicultural commercial capital.
Rotman is a catalyst for transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. Upholding rigorous standards of scholarship, Rotman School of Management pushes boundaries of inquiry in the search for innovative answers to the most challenging questions. Institute is creating superior-quality learning experiences in the classroom, online, in the business arena, and society.
- 1st Business school in Canada QS Global MBA Rankings, Rotman 2020
- 24th by Times Higher Education for Business & Economics Rankings 2021
- 15th for Faculty in the world by FT Rankings 2020

Admission Process
- 1
Eligibility of Applicant
- 2
Application Submission
- 3
Screening & Shortlisting
- 4
Admission & Fee Payment
- 5
Book your Seat
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Syllabus Breakdown
- Linear Algebra
- Probability
- Statistics
- Linear Regression
- Bayesian Analysis
- Python basics and advance to be covered for data analytics
- Data Structure & Algorithm: Python
- Python
- Taught by Rotman School of Management (UofT)
- Principles of effective visualizations
- Telling stories with data
- Techniques and Tools for data visualization
- Presenting and communicating data to different audiences
- Concepts, principles and types of ML
- Design and train ML for different tasks
- Popular ML algorithms and techniques
- Metrics to evaluate the ML models
- ML real-world applications
- Differences between supervised and unsupervised learning
- Classification, regression, and popular algorithms
- Clustering, dimensionality reduction and anomaly detection
- Feature selection and engineering techniques
- Practical applications of supervised and unsupervised learning
- AI and CI concepts, principles
- AI and CI techniques
- Natural Language Processing and Computer Vision
- AI and CI applications in different industries
- Work with large and complex datasets
- Statistics and ML for big data analytics
- Data tools and techniques for big data processing
- Big data analytics in social media, healthcare, marketing and finance
- Identify and articulate business problems and design and implement data-driven processes
- Data strategy, data culture and data-driven decision making
- Leadership development in building a data-driven organization
- Measuring and evaluating the impact
- Contemporary geospatial data analysis
- Geostatistics and spatial data visualization
- GIS software and tools
- Advanced geospatial & social media metrics
- Cluster analysis and factor analysis techniques
- Results interpretation
- The relationship between clustering and factor analysis
- Applications of clustering analysis and factor analysis
- Network properties and network path algorithm
- Algorithms to understand nodes and to identify communities in a network
- Techniques for predicting new edges in network and for node classification
- Diffusion and influence maximization
Programme Fee Details

Installment Pattern

Earn a Career Certificate
Participants who complete the necessary program prerequisites will receive a dual certificate of Advanced Data Science Certificate Program from Rotman School of Management (UofT) and IITM Pravartak.

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Yes, Rotman School of Management (University of Toronto) has the most prestigious QS World Rankings.












