Demand for Data science talent is exploding. Learn these essentials with experts from M.I.T and the industry, partnering with Microsoft to help develop your career as a data scientist. By the end of this course, you will know how to build and derive insights from data science and machine learning models. You will learn key concepts in data acquisition, preparation, exploration and visualization along with examples on how to build a cloud data science solution using Azure Machine Learning, R & Python.
Data Science is an essential skill for analyzing and deriving useful insights from data, big and small. McKinsey estimates that by 2018, a 500,000 strong workforce of data scientists will be needed in US alone. The resulting talent gap must be filled by a new generation of data scientists.
This course is organized into 5 weekly modules each concluding with a quiz. By achieving a passing grade in the final course assessment you will receive a certificate demonstrating that you have acquired data science skills and knowledge. Apart from answering your questions on the forum, faculty will host an office hour to address questions you may have while undertaking this course.
Get an ID verified certificate to demonstrate your data science knowledge and share on Linked-in.
What you’ll learn
The data science process
Overview of data science theory
Data acquisition, ingestion, sampling, quantization, cleaning and transformation
Building data science workflows with Azure ML
Data science tools including R, Python and SQL
Data exploration and visualization
Building and evaluating machine learning models
Publishing machine learning models with the Azure ML
The European Data Innovation Hub is partnering with top experts to offer MOOC participants the possibility to do these online courses in group. During the duration of the Mooc participants will be welcome to come to the Hub in Brussels to work and to go through exercises with other participants. On specific days one or more domain expert will be present to coach the students.
Our mission is to educate, inspire and empower scholars and professionals to apply data sciences to address humanity’s grand challenges.
Our community is driven by the doing-for-good initiative. This is why we have in the past supported and implemented different data-4-good initiativessuch as the one we did for Médecins sans frontières. Not only are we planning to do another major data-4-good hackathon this year, we also want to continue our efforts in data-education and focus on helping young professionals to do an interesting traineeship in an innovative data environment. To manage all these activities we have founded the European Data Innovation Hub vzw/asbl, a non-for-profit organization based in Brussels.
Here is a nice article published this summer in Fortune showing how companies are forging ahead to tackle the world’s most intransigent problems. If your company wants to be part of this movement, you can become one of our Innovation Partners.
Business-as-usual is changing. The conventional wisdom that capitalism comes at great cost to society is being challenged. Instead, we’ve observed that the most innovative companies are using those same market drivers – the ones that have until now been a cause of such criticism and skepticism –as drivers for positive change in the world.
Fortune’s new “Change the World”list contributes to this trend. As Fortune Editor Alan Murray explains, “It is meant to shine a spotlight on companies that have made significant progress addressing major social problems as a core part of their business strategy.” FSG and the Shared Value Initiative lent our expertise to help collect and vet nominations for the list.
This is the first list of its kind in which companies are recognized – and competitively ranked – on business innovations that positively impact pressing social and environmental issues. The presence of such a list in the pages of Fortune is news itself as when we first wrote about shared value in 2011, companies creating shared value were more the exception than the rule. TheFortune “Change the World” List shows us that the concept of aligning business opportunity and social impact is moving into the mainstream.
On the “Change the World” list, you’ll find familiar companies that we’ve highlighted in the past as well as a few surprises – but to be clear, this is not a “good company” ranking. Murray puts it best: “We recognize these are large global companies with complex operations that may be ameliorating one great global problem even as they contribute to another.”
But one thing the “Change the World” companies all have in common is that they recognize the business value in addressing societal needs. In their quest for profits, they are driving innovations that improve health outcomes, make progress on climate change, provide better access to education, and create new economic opportunities for those in poverty. They realize that business can – and must – compete to change the world.
All members of the European Data Science and Big Data communities are welcome to use our Brussels based professional facilities to give their training. The members of the hub will promote your training and include it on our e-learning platform for further use.
Here is an overview of the trainings that we have already scheduled for the coming months:
Data Innovation Training Hub
Brussels, BE 486Fast learners
This group is an initiative from the nonprofit European Data Innovation Hub, the premier networking space where business, startup, academic and political decision makers share…