Is data science the next big thing like Product management? Well it seems the data tells us something and here is what Microsoft and Linkedin.
As one LinkedIn manager put it, “It was like arriving at a conference reception and realizing you don’t know anyone. So you just stand in the corner sipping your drink—and you probably leave early. Goldman, a PhD in physics from Stanford, was intrigued by the linking he did see going on and by the richness of the user profiles. It all made for messy data and unwieldy analysis, but as he began exploring people’s connections, he started to see possibilities. He began forming theories, testing hunches, and finding patterns that allowed him to predict whose networks a given profile would land in. He could imagine that new features capitalizing on the heuristics he was developing might provide value to users. But LinkedIn’s engineering team, caught up in the challenges of scaling up the site, seemed uninterested. Some colleagues were openly dismissive of Goldman’s ideas. Why would users need LinkedIn to figure out their networks for them? The site already had an address book importer that could pull in all a member’s connections. Luckily, Reid Hoffman, LinkedIn’s cofounder and CEO at the time (now its executive chairman), had faith in the power of analytics because of his experiences at PayPal, and he had granted Goldman a high degree of autonomy. For one thing, he had given Goldman a way to circumvent the traditional product release cycle by publishing small modules in the form of ads on the site’s most popular pages.
If capitalizing on big data depends on hiring scarce data scientists, then the challenge for managers is to learn how to identify that talent, attract it to an enterprise, and make it productive. None of those tasks is as straightforward as it is with other, established organizational roles. Start with the fact that there are no university programs offering degrees in data science. There is also little consensus on where the role fits in an organization, how data scientists can add the most value, and how their performance should be measured.
The first step in filling the need for data scientists, therefore, is to understand what they do in businesses. Then ask, What skills do they need? And what fields are those skills most readily found in?
More than anything, what data scientists do is make discoveries while swimming in data. It’s their preferred method of navigating the world around them. At ease in the digital realm, they are able to bring structure to large quantities of formless data and make analysis possible.
Microsoft is now offering a certification in data management and usage of their very verstile tool the Microsoft Power BI. Opportunities for data scientists—one of today’s hottest jobs—are rapidly growing in response to the exponential amounts of data being captured and analyzed. Companies hire data scientists to find insights and to solve meaningful business problems. Microsft ended up with 11 courses after they consulted data scientists and the companies that employ them to identify the core skills they need to be successful. This informed the curriculum used to teach key functional and technical skills, combining highly rated online courses with hands-on labs, concluding in a final capstone project.
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If you are looking for top certifications to excel in Data Science then here is the list to google and find more about:
Top 15 data science certifications
- Applied AI with DeepLearning, IBM Watson IoT Data Science Certificate
- Big Data Certification, UC San Diego Extension School
- Certified Analytics Professional (CAP)
- Cloudera Certified Associate – Data Analyst
- Cloudera Certified Professional: CCP Data Engineer
- Certification of Professional Achievement in Data Sciences, Columbia University
- Certification in Data Science, Georgetown University School of Continuing Studies
- Data Science Certificate, Harvard Extension School
- Data Science A-Z: Real Life Data Science Exercises
- Data Science for Executives, Columbia University
- Dell EMC Proven Professional
- Microsoft Certified Solutions Expert
- Microsoft Professional Program in Data Science
- SAS Academy for Data Science
- Springboard Introduction to Data Science