Management Analytics Decision-Making Lessons from the Sports Industry at MIT Sloan School of Management, Cambridge

By MIT Sloan School of Management, Cambridge via GetSmarter

Learn to utilize analytics and data to make better decisions in the business with Management Analytics: Decision-Making Lessons From the Sports Industry course.

Online

6 Weeks

2,800 USD

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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

As the volume of data in the world increases, so does the requirement for competent leaders who understand how to manage a data-driven business. The Management Analytics: Decision-Making Lessons From the Sports Industry online course is designed to teach executives and managers the technical, strategic, and management skills needed to integrate data analytics into their organisations.

Using research studies from the sports sector, which has pioneered performance analytics, the Management Analytics: Decision-Making Lessons From the Sports Industry training teaches how to leverage data in the company to enhance goal setting, decision making, technology selection, team structure, and communication.

According to the McKinsey survey report, big data analytics have profoundly impacted the marketing and sales processes of 50% of firms. The Management Analytics: Decision-Making Lessons From the Sports Industry syllabus, led by MIT academics and industry opinion leaders, guides through the process of data conversion in the organisation or business from concept to execution.

The Highlights

6 weeks duration
6-8 hours per week
Split option of payment
Self-paced learning
Online learning
MIT Sloan offering
Course provider Getsmarter
Shareable certificate
Downloadable resources
Projects and assessments

Programme Offerings

Self-paced learning
Offline resources
Live polls
Infographics
quizzes
online learning
video lectures
Case Studies

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	MIT Sloan School of Management, Cambridge

Fee type	Fee amount in USD
Management Analytics: Decision-Making Lessons From the Sports Industry fees	USD 2800 (Incl. of all taxes)
Total Fee	USD 2800 (Incl. of all taxes)

Eligibility Criteria

Certification Qualifying Details

To qualify for the Management Analytics: Decision-Making Lessons From the Sports Industry certification, Candidates must finish all academic modules and submit all course-related projects and assignments. Participants must also engage in class discussions. Students are evaluated through a variety of online practicals, assignments, and class exercises. To qualify for certification, all of the criteria outlined in the coursebook must be satisfied.

What you will learn

Analytical skillsLeadershipDecision making skillsBusiness analytics knowledgeBusiness Management

After the completion of Management Analytics: Decision-Making Lessons From the Sports Industry online training, Entrants will learn about structure that provides a step-by-step guide for incorporating data analytics in a company as well as gain leadership and management abilities required to properly implement data-driven initiatives that fit with business goals. Candidates will also gain Insights in the sports sector on how data may be utilized to enhance strategic decision-making at the institutional level.

Who it is for

Business AnalystBusiness Development Executive

Business owners, managers, business development executives, and business analysts who wish to learn the fundamentals of data analytics from a business standpoint.
Individuals who want to position their company as a forerunner in the transformative digital era by applying data science into their business plan.
Candidates who wish to use data to promote business growth and create strategic value are encouraged to apply.

Admission Details

The admission process of Management Analytics: Decision-Making Lessons From the Sports Industry is totally online, candidates will have to follow the steps outlined below:

Step 1. Open the official getsmarter course page with the given URL

(https://www.getsmarter.com/products/mit-sloan-management-analytics-decision-making-lessons-from-the-sports-industry-online-short-course)

Step 2. Start the registration process by clicking the ‘Register Now’ button

Step 3. Agree with the provider’s terms and conditions and apply coupon code

Step 4. Create a profile on the getsmarter education platform by filling in details

Step 5. Provide the billing address and optional sponsor details

Step 6. Pay the program cost and start using the preferred payment option and start online training

The Syllabus

Identify how data analytics can mitigate cognitive biases and shape decision making
Define the challenges, opportunities, misconceptions, and key terminology related to data analytics
Determine how applied analytics is used for strategic decision making in the sports industry through case study examples
Reflect on how data analytics might be used to enhance decision making in your industry
Analyze the three skill sets of data-driven executives

Explain the importance of problem formulation and aligning an analytics strategy with organizational goals
Recognize the role of the Analytics Management Framework in developing the three skills sets of data-driven executives
Use the Analytics Management Framework and problem formulation theory to develop an analytics strategy
Decide on the type of data needed to solve your organization's problems
Analyze organizational problems that can be strategically addressed using data analytics
Evaluate your organization's goals, problems, and the data required to convert those problems into opportunities

Identify the methods used to facilitate data analytics in various industries
Define the processes involved in data analytics
Practice analyzing data by using a sample data set
Investigate how to align human resources according to technical skill sets in a strategic analytics plan
Articulate how specific data analytics methods and technological infrastructure might improve decision making
Reflect on what capabilities are required in your data analytics team

Articulate the significance of choosing the correct channels for strategic data communication
Discuss the fundamental concepts and techniques involved in communicating data insights to your target audience
Analyze best practices for effective data visualization
Evaluate your organization's technical and communication capabilities
Critique data visualizations to determine their effectiveness
Create a plan to communicate actionable data insights to key stakeholders

Describe how human-machine partnership influences the decision-making process
Highlight the significance of accommodating different voices and perspectives in the decision-making process
Articulate the role of metrics in designing an analytics system
Evaluate how the iteration process, the final component of the Analytics Management Framework, leads to continuous improvement of a decision’s results
Investigate how to select and employ metrics to track the impacts of a decision
Reflect on how a human-machine partnership can enhance decision making in your organization

Determine which team structure will meet your data and organizational needs
Outline the benefits and challenges of integrating analytics teams with non-data-related teams in an organization
Investigate how to use data governance best practices in your organization
Compile a data analytics program plan for your organization
Evaluate how to implement hiring, training, and retention best practices to craft a data-driven employee base
Reflect on the program's content and its practical application