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
Core Course
Teamwork & Collaboration
In modern organisations most of the work is done in teams and so the ability to work with others is fundamental in business. The Teamwork & Collaboration course will lay the foundations for effective teamwork by understanding yourself – your behavioural style and mindset. The course will then focus on how to collaborate with others in a variety of contexts. You will develop a broad repertoire of tools to collaborate and negotiate across cultural and generational boundaries in a range of situations.
Key Topics & Skills
Personal Development
Giving and Receiving Feedback
Collaboration
Diversity
Negotiation
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
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
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: Coding & Programming
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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