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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

Emeritus’s certification course on Business Analytics: Data-driven decision-making has flexible options for payment which is open for both individual and group aspirants.

Pay in Full

Pay the entire program fee of C$2,600 at once.

Pay in 2 instalments

The first instalment of C$1,459.
The final instalment of C$1,193.

Pay in 3 instalments

The first instalment of C$1,092.
The second instalment of C$819.
The final instalment of C$819.

Fee Structure

Fee category	Amount in CAD
	1	2	3
Pay in full	2600	-	-
Pay in 2 installments	1459	1193	-
Pay in 3 installments	1092	819	819

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

Machine learningBusiness analytics knowledge

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

Instructors

Rotman School of Management, Toronto Frequently Asked Questions (FAQ's)

1: How long will it take to receive the course certificate?

The digitally verified certificate of completion in the completed course will be given to the student within two to four weeks of successfully finishing the course.

2: Is the attendance applicable for live webinars?

Attendance is not mandatory for live webinars and the recording of the missed sessions can be accessed from the learning management system provided to the student.

3: Is it possible to correct an error after submitting the application form?

After submitting the applications, if the student wishes to correct an error, they can send the correction to admissions@emeritus.org and wait for getting the verification done.

4: How to address the queries of the student about the programme?

After enrollment, students can provide their phone numbers to which they can connect with a program advisor to clarify their queries or they can mail at info@emeritus.org.

5: Does the enrollment in the Emeritus program provide an enrollment as a student with the collaborating university?

The enrollment in an Emeritus program only grants enrollment in the Emeritus institute of management, not the university. Emeritus is a private education provided registered with CPE, Singapore.

6: What if the student misses the deadline for an assignment?

Usually, assignments are provided weekly with one each and they can be individual or group assignments. Reasonable deadline extensions are provided when there is a compelling reason.

7: Which all payment methods are available to pay fees?

There are two options for payment. The first one is through wire transfer and the second one is through credit card payment. They do not accept Discover cards.

8: What to do if a student is unable to access or have issues with the learning management system?

The students can raise queries regarding the learning management system by either sending a mail to programsupport@emeritus.org or directly asking about the learning management system itself.

9: Is there any limit to the number of programs that a student can pursue at one time?

Students can pursue multiple programs simultaneously, according to their convenience. If they can schedule efficiently for each course, they can pursue any number of courses.

10: Can the students interact with the faculty from the collaborating university for doubt clarifications?

The faculty are only available through recorded videos. Live sessions and office hours are controlled by course leaders, a team of industry practitioners. Doubts can be clarified with them.