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Data Science for Managers (1-day seminar)

September 9, 2015 @ 9:00 am - 5:00 pm UTC+0


A One day onsite program for IT and Business Managers on Data Science. Provides foundation on Data Science & Big Data Analytics to support a data-driven organization and manage Data Science Teams.


  • Become an Analytics leader to build/support a data-driven organization.
  • Gain knowledge of mainstay analytic techniques such as optimization, forecasting, and simulation as well as more “hot topics” such as artificial intelligence, network graphics, clustering and outlier detection.
  • Learn to get insights from Big Data using Excel without R or Python programming skills.
  • Hands-on experience in executing an end-to-end analytics project to help engage correct data science products and manage data analytics teams.


If you’re a manager of a data-driven organization, you will learn to get insights from Big Data without data science PhD or R or Python programming skills. You will learn to do it all in Excel, right now –with the most advanced analytic models.You will also learn to ‘pull’ sampled and summarized data into Excel from compute clusters running Apache Spark, the fastest-growing Big Data software on the planet, and to ‘push’ the results of analytic models to data visualization and reporting tools like Tableau and Power BI.

By drawing a representative sample of Big Data from a Spark cluster, you can easily train data mining and text mining models directly on your desktop.By drawing summarized data such as sums, counts and averages of certain variables, grouped by other variables, you will learn to obtain just the data you need to drive simulation and optimization models.

You will also learn to ‘push’ the results of analytic models –such as key statistics, percentiles, or predictions or robustness measures from your data mining model –directly into either Tableau or Microsoft Power BI. With either Tableau or Power BI, you can obtain insightful visualizations that simplify communication of results with stakeholders.


  • The vice president of marketing who wants to use the transactional business data more strategically to price products and segment customers. But does not understand the approaches suggested by software developers and consultants.
  • The demand forecasting analyst who knows that organization’s historical purchase data holds more insight about customers than just the next quarter’s projections. But does not know how to extract that insight.
  • The business intelligence analyst who sees accruing infrastructure and supply chain costs but doesn’t know how to systematically make cost-saving decisions.
  • The online marketer who wants to do more with company’s free text customer interaction taking place in email, Facebook, and Twitter, but currently they are just being read and saved.

9:00-10:15am: Kick Off & Data Analytics
10:15:11:30am: Analytics Techniques
11:30-1:00pm: Working Lunch with Case Study #1 Demo
1:15-:2:30pm: Tools & Processes
2:45-4:30pm: Hands-on exercise by the students
4:30-5:00pm: Wrap-up



September 9, 2015
9:00 am - 5:00 pm
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Divergence Academy