Other Providers

Citi Investment Banking Virtual Reality Experience (Citibank)

Offered by Citibank,
Citi Investment Banking Virtual Reality Experience (Citibank)

As a part of this Virtual Experience Program you will be playing the role of an Investment Banker at Citi. You have been assigned a variety of tasks for one of its key clients, Zeta Inc. You will need to create a company profile, a comparables company sheet and learn about the associated financial metrics.

Are you interested in exploring a career within a global bank? Are you naturally curious and like to challenge the status quo? Do you want to solve challenging financial problems within a top tier team?
Citi is committed to giving you every opportunity to learn and develop. As a part of that we have designed this Citi APAC Investment Banking Virtual Reality Intern Experience to help you build the skills and confidence to pursue a career with us, in particular the Investment Banking Divison!
This program will give you a taste for some of the challenging problems that Citi tackle each day!
Kick start your career with us by enrolling in the Citi APAC Investment Banking Virtual Reality Intern Experience.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Football: More than a Game (Coursera) Coursera
University of Edinburgh

Football: More than a Game (Coursera)

Education

Explore the world of football (soccer), the money, the rivalries, the trends, the past, the present, the men’s game, the women's game and the real issues. Whether you love it, hate it or try to ignore it – join us as we go behind the scenes to examine why football is more than just a game.

Nov 16th 2026
5-12 Weeks
Sports Data Analysis Football
Details
Doing Economics: Measuring Climate Change (Coursera) Coursera
University of London,University College London,CORE

Doing Economics: Measuring Climate Change (Coursera)

Statistics & Data Analysis Data Science

This course will give you practical experience in working with real-world data, with applications to important policy issues in today’s society. Each week, you will learn specific data handling skills in Excel and use these techniques to analyse climate change data, with appropriate readings to provide background information on the data you are working with. You will also learn about the consequences of climate change and how governments can address this issue.

Nov 16th 2026
4 Weeks
Economics Climate Change Data Analysis
Details
BCG Strategy Virtual Internship (BCG) Other Providers
Boston Consulting Group - BCG

BCG Strategy Virtual Internship (BCG)

Business

This course is designed to give you a feel of what it is like to work at BCG as we help our clients generate competitive advantage. Our client for this project is a telecommunications operator who has had declining profits for several years. We have been engaged to help drive profitability improvement as you play the role of a Strategy Consultant at BCG.

Self Paced
Self-Paced
Business Modeling Data Analysis
Details
Business Intelligence and Competitive Analysis (Coursera) Coursera
Rutgers University

Business Intelligence and Competitive Analysis (Coursera)

Business

By the end of 2019, it is clear that American Airlines (AAL), the world’s largest airline group, is in trouble. With the growth rate of its stock price ranked at the bottom of all major US airlines and going in the opposite direction from the SP500 index, AAL needs to find out what is going on, and how to turn the company and its stock price around.

Nov 23rd 2026
4 Weeks
Data Analysis Business Intelligence Benchmarking
Details
Introduction to the Threat Intelligence Lifecycle (Coursera) Coursera
IBM

Introduction to the Threat Intelligence Lifecycle (Coursera)

Security & Networking

Today, we are faced with the increasing challenges of dealing with more aggressive and persistent threat actors, while being inundated with information, which is full of misinformation and false flags across multiple, unconnected systems. With information coming from such a wide variety of sources, how do you tell what is reliable and actionable, and what isn't?

Nov 23rd 2026
4 Weeks
Planning Information Data Sources
Details
Population Health: Predictive Analytics (Coursera) Coursera
Leiden University

Population Health: Predictive Analytics (Coursera)

Statistics & Data Analysis Data Science

Predictive analytics has a longstanding tradition in medicine. Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments. In order to effectively use and develop these models, we must understand them better. In this course, you will learn how to make accurate prediction tools, and how to assess their validity. First, we will discuss the role of predictive analytics for prevention, diagnosis, and effectiveness. Then, we look at key concepts such as study design, sample size and overfitting.

Nov 23rd 2026
4 Weeks
Health Data Analysis Predictive Analytics
Details
Necessary Condition Analysis (NCA) (Coursera) Coursera
Erasmus University Rotterdam

Necessary Condition Analysis (NCA) (Coursera)

Economics & Finance

Welcome to Necessary Condition Analysis (NCA). NCA analyzes data using necessity logic. A necessary condition implies that if the condition is not in place, there will be guaranteed failure of the outcome. The opposite however is not true; if the condition is in place, success of the outcome is not guaranteed.

Nov 23rd 2026
5-12 Weeks
Data Analysis Coursera Plus Necessary Condition Analysis
Details
Data Science for Business Innovation (Coursera) Coursera
Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

Statistics & Data Analysis Data Science

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Nov 16th 2026
4 Weeks
NoSQL Machine Learning Big Data
Details
Bioinformatic Methods I (Coursera) Coursera
University of Toronto

Bioinformatic Methods I (Coursera)

Health & Society Statistics & Data Analysis

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Nov 16th 2026
5-12 Weeks
Biology Bioinformatics Molecular Biology
Details