As we enter the third month of 2020, let us take a look at the recent advancements in the world of Data Science and Analytics over the past week. From learning how to be a Data Science freelancer to the launch of new Open Source projects, a lot has changed in the recent times.
UC Berkeley receives $252 million anonymous donation – a largest single gift in university’s history
UC Berkeley received a $252 million donation and will use this fund to begin the construction of a Data Science hub. This will be used to research and teach in one of the university’s fastest-growing fields. Officials are looking at this as a positive approach to foster academic achievements. It will bring together scholars from across the campus and form collaborations to tackle important issues such as biomedicine, climate change, and sustainability. UC Berkeley is immensely grateful for the donation and aims to enable further growth.
Susan Doniz has been named as Boeing’s next Chief Information Officer and Senior Vice President of Information Technology and Data Analytics. Doniz will oversee all aspects of IT, Information security, and Data Analytics. She will provide insights into digital transformation, data analytics, and AI. All of these are essential for long-term growth and the continuous drive for operational and safety excellence. She is also passionate about STEM education and diversity inclusion.
If you’re a beginner taking up Data Science projects to build your portfolio or as the first step to launch your career, this blog will show you the right way to go about the process. Strengthening your skills, learning how to market yourself to get clients, choosing the correct tools or platforms are all important factors to learn before you start working on Data Science related projects. Data Science is a broad field, narrowing down to your skillset to a relevant subset of people will help you acquire rewarding projects.
ODPi is a nonprofit Linux Foundation project who recently announced that OpenDS4AII is an open-source project accelerating the creation of a Data Science curriculum at various academic institutions. The project is funded by IBM and was built by the University of Pennsylvania. The curriculum kit comprises Python, Open source tools, frameworks for documentation, codes, and datasets that can be updated by anyone. ODPi aims to simplify open big data ecosystems. Several institutions have already voiced their intention to embed data science education to their other programs such as marketing or computer science.0