Data Mastery

Take your data acumen up a notch as you begin to master algorithms and visualization techniques in practical challenges, which will also hone your all-round business skills.

Courses in this module

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Core Course

Communicating with Impact

Effective communication enables leaders to grow their impact in the world as part of a global community. In Communicating with Impact, you will learn to use storytelling as a powerful communication tool to inform, engage, motivate and inspire others. You will also develop presentation skills for success in business environments by learning how to create and deliver a clear, concise, and compelling pitch.

Key topics & skills

  • Communicating with Individuals & Groups

  • Presentation Skills: Storytelling

  • Presentation Skills: Pitching

Core Course

Computational Data Analytics With Python

Introduce Python and Pandas to different types of data and gain insights from it. Learn how to prepare data for analysis, perform simple statistical analysis, run and interpret regression.

Key topics & skills

  • Introduction to Pandas

  • Data Anomaly Detection & Treatment

  • Linear Correlation

  • Automated Variable Selection Techniques

  • Logistic Regression & Classification

Core Course

Data Visualization

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

  • Exploratory Data Analysis Using Visualization in Tableau

  • Evaluation of Visualization Design Alternatives

  • Data Transformations

  • Domain Specific KPIs Application

  • Dashboards and Story Creation

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: AI Challenge

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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    Our international team of advisors is here to discuss your individual goals and answer all your questions. How you get in touch is up to you.

    Application Deadline - Round 4

    April 30, 2024

    Priority is given to those who apply by the deadline. Our enrollment team will support and guide you through the entire process.