Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
Fluency over data analytics is an essential skill for any organizational leader and this knowledge can be moulded into the corporate industry including making better business decisions. Business analytics: Data-driven decision making is a short certification course on harnessing these professional skills.
The online course is offered by Emeritus in association with Rotman school of management who designed this executive program. Instructed by the experienced faculty of Rotman School of Management, the course encapsulates fundamental topics and applications usage of data analytics with innovative learning methods.
Each module is designed to help the learner craft the narrative for their company’s enhanced data literacy. The course mainly focuses on understanding the applications of data which involves examining tools and techniques of data and analytics in a real-world setting. It helps the learner to fine-tune their fluency with data concepts, challenges, and applications which could build an effective and data-driven business organization.
The Highlights
- Course offered by Emeritus
- In association with Rotman School of Management
- Class duration of 6 weeks recommended with 4-6 hours per week
- Online classes with experienced faculty
- Flexible payment options
- A verified and shareable Certificate upon Completion
- Availability of special group enrollment pricing
- Counts towards the achievement of Rotman excellence in Executive Leadership certificate
Programme Offerings
- Instructor-led
- Capstone Project
- video lectures
- quizzes
- LIVE Webinars
- Peer discussions
- Open Q&A
- Application exercises
- assignments.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Rotman School of Management, Toronto |
Business Analytics: Data-driven Decision Making fee structure
| Head | Amount |
| Original fees | US $2,600 |
| Discounted fees | US $2,314 |
Eligibility Criteria
Work experience
Candidates can mention the details regarding their work experience in order to download the brochure. Any further details regarding this information are not provided.
Certification qualifying details
Upon completion of the course, the candidates will be provided with the verified digital certificate of completion in Business analytics: Data-driven decision making by Rotman school of management. Further details regarding this category are not available.
What you will learn
The candidates can develop their business acumen using this course on Business Analytics: Data-Driven decision making, with these key takeaways such as:
- An improved data literacy; the ability to communicate effectively with data analysts.
- A better understanding of when to use and how to interpret descriptive, predictive, and prescriptive analytics.
- An improved skill-set in evaluating various data analytics tools.
- Increased fluency in dealing with data concepts, challenges, and applications.
- The application knowledge of tools like dashboards, machine learning prediction models, and regression analysis.
- Addition of effective techniques to apply scientific thinking to the business.
- A deeper understanding of how to build a data-driven organization.
- The knowledge of developing a data-driven organization is conclusive of managing privacy concerns and developing strategies.
- Inculcate an evidence-based decision-making skill.
- Growing expertise in the fields like designing an experiment and examining cause and effect in data analysis.
Who it is for
This programme is designed for anyone who wishes to incorporate data-driven decision making for their organization. However, for the following learners the programme can be particularly applicable:
- Business leaders who want to work efficiently well with the analytics team, integrate data into decision making and their corporate culture.
- C-suite executives belonging to any industry with access to massive data streams such as IT services, banking, and financial services, and health care who want to learn the language of data to develop an analytics roadmap for their organization.
- Mid to senior-level managers such as general manager, corporate director, head of marketing, or head of the strategy, who wants to incorporate data analytics into future ventures or launch new business ideas.
Admission Details
Students can pursue this course on Business Analytics: Data-driven decision making, by following an effortless online registration.
The students can follow the below-mentioned steps in order to complete the successful registration of the course:
Step:1 - Browse the required course using the URL- https://execonline.rotman.utoronto.ca/business-analytics
Step:2 - Click on the icon ‘apply now’, for initiating the application procedure.
Step:3 - You will be directed to the ‘create an account’ page if you haven't created one.
Step:4 - Once completed creating the account, the students can reach out to the course page again and initiate the payment.
Step:5 - The payment can be done using a suitable payment mode. After payment, the registration procedure is completed and the student can access the course.
The Syllabus
- Dive into the fundamentals by comparing the various types of data analysis
- Examining variables
- Analyzing the impact of sample size and sample bias.
- Do you know your dashboards?
- Understand the applications of data analytics dashboards and the use of conditional averages, distributions, regression to the mean, and hypothesis testing to devise Key Performance Indicators (KPIs)
- Understand predictive analysis
- The construction of a prediction model
- The application of machine learning and AI to prediction
- The strategic implications of prediction
- Learn what regression does
- How it fits into prediction
- What questions to ask data analysts (and yourself)
- How do you mold raw data into a business strategy?
- Examine cause and effect in data analysis
- Design an experiment
- Analyze causal inference without experiments
- Be prepared to prescribe a response to the likely results.
- Widen your view of data literacy to your whole workforce.
- Develop an organizational model for a question-driven approach to data analysis
- Understand privacy concerns
- Formulate a strategy to build an evidence- and learning-based corporate culture