Whether you’re looking to implement a data analytics program from scratch, take your use of data to the next level, or simply increase your fluency in the domain, the Masters Certificate in Analytics for Leaders is the program for you.
NEW! Eligible participants can receive 50% offer their tuition through Scale AI. Click on Details below to learn more.
Top Reasons To Choose This Program
Quickly learn about the complete range of knowledge and skills required to practise analytics sustainably and the management competencies required to oversee it
Gain hands-on exposure to working with both basic and advanced concepts in data science
Recognize opportunities to enhance decision making, performance and profitability
Gain fluency in big data analytics to improve your ability to ask the right questions and gain the right answers
About This Program
This nine-day program is designed for anyone looking to improve their data analytical skills. It is delivered in seven modules over three months and has been designed to quickly round out your knowledge of all the technical, managerial and organizational dimensions required to successfully and sustainably generate insights from data and translate them into action. This cutting-edge data analytics content is structured in convenient standalone modules can be taken by anyone from any sector or functional area even if you come from a non-data background.
This program is eligible for 50% tuition fee support from Scale AI. To apply, fill in this application form.
What is Required to Implement Data Analytics?
While most organizations today collect data as a basis for decision making, seeing patterns in the exploding volumes being generated can quickly become overwhelming. Analyzing it properly to in order to make better business decisions requires some specialized skills and tools, especially for non-data specialists.
What Does Predictive Analytics Entail?
Leveraging data using the right analytics tools can “open a window into the future”. It works when organization leaders can recognize the patterns and then ask the right questions of the data. The result is meaningful insights that uncover hidden or unexpected opportunities.
Communication Skills Are Critical
Having useful data is essential. It then becomes necessary, using data visualization, to shape them into a format that effectively communicates results and recommendations to managers across the organization so they can take action.
Leadership Dimensions
For analytics to gain traction, organizational infrastructure, processes and support from management must also be developed and implemented. That involves being able to advocate for and manage change. Applying analytics-focused entrepreneurial and design thinking results in a culture that fully engages the workforce for maximum effectiveness.
How Technically Demanding is it?
The modules have been developed for non-data scientists and do not require any prior technical knowledge. Some topics make use of math but only for explanation or demonstration purposes. All participants require to benefit is an openness to learning.
Two Registration Options
Two ways to earn your Masters Certificate:
Register for and complete the full program in just 13 days over 2 months.
Complete all the standalone modules at your own pace over three years. (Please note, the Introduction to Analytics module must be taken first).
Participant Profile
This program has been designed for any professionals with diverse needs from any sector or functional area, including managers who:
Want to learn about data analytics tools and techniques and leverage insights from big data to allow their organization to make better business decisions
Are tasked with implementing, enhancing or expanding the role of analytics in their organization
Currently work on analytics projects or are involved with a data team, and want to increase their fluency in the domain and their command of its tools and techniques
Unique Program Features Include
Derived from Schulich’s MBA Business Analytics concentration; incorporates content and skills most requested by industry leaders
INFORMS CAP® (Certified Analytics Professional) recognized program
Sessions are held on Mondays, Wednesdays and Fridays for two hours starting at noon. For a detailed schedule, click on the Detailed Schedule button below.
Learn, practice and perfect the softer leadership skills which have proven critical for successfully engaging with human factors when implementing analytics-based projects.
Leading with Analytics
Pair your business expertise with data science’s capabilities
Identify the best corporate analytical strategy for success
Frame business problems for data and analytics answers
Overcome communication barriers
Negotiating and Influencing Skills
Influence people on the conversational or interpersonal level
The art and science of negotiating
Strategies for persuading consistently
Attain win/win outcomes with conflict resolution
2 days
Introduction to Analytics
An exploration of the underlying principles, this module will familiarize you with the reasons why it’s possible to trust data to make better decisions compared to intuition or experience.
Data vs. Intuition + Data-Driven Decision Making
Decision-making strategies based on data vs. intuition
Use data skills to build effective intuitions and vice versa
Use data-driven strategies for better decision making
Drive up ROI with data driven approaches
Understanding Variation + Correlation vs. Causation
Consistency of process through measuring variability
Measures of variability that determine outcome fluctuations
Distinguish correlation from causation for better insight
Variables and relationships relevant to business problems
2 days
Business Insights with Data
“Moneyball” insights are real! Locate the Moneyball instances within your organization by asking the right data questions, and then successfully present insights using data visualization.
Finding “Moneyballs” with Analytics
Explore Applied Moneyball Theory as a unique value multiplier
Unlock thinking and skills for identifying high value moneyballs
Create predictive measures and questions to ask of the data
Convince decision makers to invest in Moneyball opportunities
Data Visualization with Tableau
Ask the right questions to reveal patterns and trends
Illustrate actionable insights with data visualizations
Empower decision makers with management dashboards
Apply design principles, visual theory and data storytelling
2 days
Managing Data
Learn the fundamentals of an analytics infrastructure: what’s required to store, access, manipulate and manage data from technical, regulatory, privacy and cybersecurity perspectives.
Data Governance & Privacy
Modern macro and micro drivers for effective data governance
Organizational alignment and cross-functional engagement
Internal/external roles and responsibilities
Effective data leadership within an organization’s value network
Overview of Databases and Big Data Tools
Big data and data science for more informed business decisions
Organizational growth through more effective data analytics
How big data analytics can drive competitive advantage
Cloud, mobility, security, social media and online business
2 days
Data Science in Action
Envision the practical predictive analytics applications most suited to your organization now, and explore the additional possibilities afforded by data science technologies.
Introduction to Predictive Analytics
Explore the past to predict advantageous future outcomes
Apply tools and methods to your business decisions
Differing science and data needs across industries
Understand and communicate knowledge gained
A Map of the Terrain and Technologies
The difference between supervised and unsupervised learning
Common and useful data science algorithms in practice today
Technologies most useful in enabling workplace data science
How AI algorithms enable powerful data-driven insights
2 days
Digital Transformation
This module provides participants with strategies and techniques to enable the digital transformation which analytics represents to gain and maintain traction in their organization.
Entrepreneurial Thinking for Tech Strategies
Data & AI challenges prevalent in the enterprise today
Compare disruptive start-up vs. enterprise tech strategies
Methodologies to execute like a tech-enabled start-up
Processes to maintain rigor, security and compliance
Design Thinking in the Age of Big Data
Create organizational value through internal design thinking
Maximize value with design solutions based on insights
PMI, PMBOK, PMP, and PMI Registered Education Provider logo are registered marks of the Project Management Institute, Inc. The Schulich Executive Education Centre is a PMI Registered Education Provider (R.E.P.), as designated by the Project Management Institute (PMI).
0 CAP
Certified Analytics Professional Program (CAP) Registered Education Provider