Data Impact
In your final module, you’ll focus on data optimization for business applications and machine learning alongside leadership and influence skills, before applying everything you’ve learned in your final Business Challenge.
Courses in this module
Core Course
Business Modeling & Optimization
In today's age of big data, it's vital to design efficient and scalable algorithms that address wide-ranging optimization problems. Get an introduction to a variety of optimization theories and applications and connect them to research and applications in large-scale optimization and machine learning.
Key topics & skills
Introduction to Business Models
Linear Programming Models
Advanced Network Design
Non-Linear Models & Business Applications
Simulation
Core Course
Communication & Collaboration 3: Influence & Persuasion
Leverage your new functional knowledge for organizational impact by bringing together elements from the Personal Impact and Teamwork courses. Hone your influence, leadership, and negotiation skills to learn how to effectively and ethically persuade in an organizational context.
Key topics & skills
Persuasion
Influence Without Authority
Managing Up & Across
Giving Voice to Values
Change Management & Leadership
Core Course
Data Visualization & Analysis
While data is critical for making well-informed decisions, how you present and analyze data to stakeholders can make the difference between a new or improved business model and a missed opportunity. This course covers the design concepts involved in visualizing and analyzing data for decision-makers. You’ll use market-ready tools to perform ETL processes and create storytelling using data visualization tools.
Key topics & skills
Use Tableau to Conduct Exploratory Data Analysis Using Visualization
Use Knowledge of Perception & Cognition to Evaluate Visualization Design Alternatives
Apply Data Transformations for Visualization (Aggregation & Filtering)
Identify and Use Domain Specific KPIs Application of Data Visualization in Various Domains
Core Course
Visualizing & Analyzing Data With R: Methods & Tools
Come to grips with the principles and techniques of computer programming using R as well as a variety of numerical and computational problems. You’ll also learn how to program and use R for effective data analysis for large datasets. Explore real examples of practical issues in statistical computing, including programming in R.
Key topics & skills
Intro to R, R Environment, Installing Libraries & Loading Packages
Basic Objects in R, Different Data Types, Testing & Changing Types, Importing Data into the R Environment
Basic Data Mining in R
Creating Frequency Histograms, Analyzing Different Distributions, Visualizing Data
Business Challenge
Business Challenge #3
Put all your newly acquired knowledge and skills directly into practice at the end of each block through a practical and relevant business challenge. Teams will draw on the content and themes of previous courses in each block to complete challenges involving simulations, executive pitch presentations, innovation hackathons, real company challenges, designing new business models, etc.
Key topics & skills
Cross Functional Strategic Decision Making, Planning & Coordination
Analyzing Real & Simulated Business Cases
Team Leadership & Dynamics
Courses and challenges subject to change
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