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Open Challenge

Data Science for Leaders

3-week online program
2.5 credits
Remote
Remote
FREE (€100 deposit which is refunded after completing the program)

Data specialists are in high demand — the leaders of tomorrow who have strong analytical skills face a huge amount of opportunities. This challenge was designed in partnership with one of the world's leading promotional banks, KfW, and is open to anybody who is interested in data science and its inner workings. Gain the skillset, mindset, and toolset to make an impact with data.

duration
3-week online program
study module
Remote
Application deadline
13th of November
Program fee
FREE (€100 deposit which is refunded after completing the program)
€300 €100 one time fee
ects
2.5 credits
KfW is one of the world’s leading promotional banks that has been committed to improving economic, social, and environmental living conditions across the globe on behalf of the Federal Republic of Germany since 1948.

KfW is actively involved in the issues that will shape the world of tomorrow. They promote wind farms, infrastructure projects, schools, and hospitals because meaningful and sustainable projects are part of their mission. As a bank, they are committed to responsibility. KfW supports people, countries, and institutions who think ahead and are motivated to take action, driving our society toward the future. This profile is what clearly sets KfW apart from other commercial banks.

Open Challenges

Data Science for Leaders

Data specialists are in high demand — the leaders of tomorrow who have strong analytical skills face a huge amount of opportunities. This challenge was designed in partnership with one of the world's leading promotional banks, KfW, and is open to anybody who is interested in data science and its inner workings. Gain the skillset, mindset, and toolset to make an impact with data.

Deadline to apply:
13th of November
Remote
3-week online program
FREE (€100 deposit which is refunded after completing the program)
deposit/refundable
2.5 credits
ECTS
Apply now

How You'll Learn

Our mission is to help you navigate the fast-changing world by building the skillset and mindset to make a sustainable impact on the future. That’s why we offer cutting-edge, intensive, and practice-based Open Challenges, delivered 100% online by Subject Matter Experts. Our certificates give you the resources to upskill, boost your career prospects, and unlock your full potential. The certificates are stackable, meaning that you can use the credits earned towards one of our degree programs.

Learn by doing
Experience real "learning by doing" in an international environment
Network and community
Engage your network and new global community to speed up your impact and get noticed
Guidance
Receive guidance from industry leaders and mentors who are already thriving in successful careers
Remote-first
Grow your network with peers from around the world in a remote-first setting

What You'll Learn

This challenge is made up of 6 milestones. By the end of the challenge, you’ll have conducted your own data research process and developed a well-designed problem definition based on the insights about your users.

Milestone
1
:
Get the data

This challenge follows the steps of the Knowledge Discovery in Databases (KDD) approach according to (Fayyad et. al., 1996) which divides the process of data-mining and extracting insights into several distinct stages of work. Your goal for this challenge is to come up with insights about the current situation of power chargers by using cutting-edge technology and machine learning approaches. After using the KDD process, you will deliver a report to the management of KfW.

Milestone
2
:
Get familiarized with the dataset

In order to start analyzing our dataset in respect of the relationship between car characteristics and CO2 emissions, you need to set up your Integrated Development Environment (IDE). In this challenge, we’ll be using tools for programing in Python to collaborate and share your code.

Milestone
3
:
Prepare the data

This milestone will help you to prepare the data set for Data Science activities. After the first introduction to Data Science, we are now facing the first practical step in order to get dealing with the data.

Milestone
4
:
Start exploring the data

This milestone will help you to prepare the dataset for Data Science activities. Before we fully dive into analyzing the data, we will take a closer look at it and familiarize ourselves with the dataset. We will start by describing the data from a statistical perspective and visualizing them.

Milestone
5
:
Pitch your insights

It’s time to consolidate your insights about the data set. In preparation for the challenge discussion, augment your presentation from the preceding milestone with recommendations in order to give them a data-driven decision guide.

Milestone
6
:
Modeling the data

The next step is to model the data. For this step, you’ll build a supervised prediction model to predict or cluster the data.

Who is This Program For

Open Challenge participants come from a variety of different professional and experiential backgrounds. The common thread is that they all want to make a sustainable impact and further their professional development.

You want to become...
A Data Scientist
A Product Manager
A Project Manager
A Product Data Scientist

Open Challenges in a Nutshell

3-week online program
FREE (€100 deposit which is refunded after completing the program)
10–15h weekly workload
2.5 credits
ECTS
(transferable to the PM SET)
Limited cohort of 25 change makers
Weekly challenge discussion
Starts on:
Chec back soon
Slack community
Certificate

Upon successfully completing the challenge, you'll receive a digital certificate that can be shared with your personal and professional networks.

Program starts

Chec back soon

Keep these dates in mind.

Application deadline (limited seats)
until
13th of November
Confirmation of participation
until
21st of November
Challenge starts
on
November 28, 2022

Meet Your Challenge Owner

Dr. Benjamin M. Abdel-Karim

Challenge Owner, AI & Data Science Expert

Dr. Benjamin M. Abdel-Karim is a Researcher, Author, and Software Engineer in the field of Data Science and Machine Learning. He has also a strong contribution to the scientific community based on several publications such as MISQ (A+).
"Data analysis is essential to make decisions and have an impact at scale. Without modern data acquisition tools and competencies for analyzing that data, the health of our world’s systems, both natural and human-made, is at peril."

Your ToU Journey
Starts Here

Thank you for your interest in our program. You'll find the link to the brochure with additional information on the following page.

Frequently Asked Questions