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 Capstone 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
Capstone Challenge
Capstone Challenge: Impacting Your Organization Through Machine Learning
Get your team together to analyze and interpret an unsupervised learning problem and discover hidden patterns or data groupings without the need for human intervention. This will require an ability to code unsupervised machine learning algorithms as well as understand the role of statistics and optimization to interpret and communicate results.
Key topics & skills
Big Data
Machine Learning
Optimization
Applying Exploratory Analysis
Courses and challenges subject to change
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