Data Science: Bridging Principles and Practice

Don’t let a data-driven organization overtake you. Become a data organization too. No matter the industry, every organization must be in the data business.

According to NewVantage Partners’ 2021 survey of senior executives, 96% said AI and big data had produced successful business outcomes, up more than 25% over the previous year. Still, only 41% say they are competing on analytics, and fewer than a quarter say their organizations have built a data-driven culture. The challenge to realizing the potential of big data lies not in the technology itself, but rather in the transformation of teams, culture, and processes.

In this program, prepare to dive right into that transformation by getting dirty in the data. Data Science: Bridging Principles and Practice provides a foundational understanding of what data science and analytics is all about. By the end of this program, you will be able to work effectively with data teams to drive successful outcomes for your organization.

In this program, you will be introduced to the basics of statistics and analytics in order to build a foundation in data science. You will acquaint yourself with the tools of analytics, explore the business applications of data concepts and tools, and develop the language and skills to work effectively with your data team. By the end of the program, you will be prepared to do the following:

• Adopt a data-driven mindset, ask the right questions, turn data into business insights, and identify the best methods to answer questions.

• Learn to communicate and interpret data, master data presentation methods, communicate with data scientists, and interpret data effectively.

• Create a data-driven culture, use technology and processes to drive a cultural shift where data is leveraged for strategy, decision making, and execution.

This program is for mid-career managers who want to upskill, C-suite professionals that make impactful organizational decisions, and executives who want to develop their career in a fast-growing field.

• Product Managers, Product managers, project managers, marketing managers, and others in managerial positions who are integral to the decision-making process and want to get deeper actionable insights for their work.

• Directors, CEOs, CTOs, CIOs, vice presidents, presidents, founders, and general managers who are involved in making systematic data-driven decisions and would like to strengthen the application of data science in their organizations.

• Executives who want an introduction to Data Science and want to gain more experience in data analysis.

While there are no formal prerequisites such as coding knowledge, having an aptitude for quantitative concepts is important. As pre-term work and in week 1, there will be a review of basic mathematical and statistical concepts such as mean, standard deviation, graphs, histograms, and linear and logarithmic functions. In addition, there will be a weekly 'prep session' to introduce key concepts from the next module that participants may want a refresher on. To gain true literacy in data science, be prepared to get dirty in the data and embrace some math and stats. We'll fully support you along the way.

During this ten-week online journey, you’ll connect directly with UC Berkeley Executive Education's faculty, industry leaders and peers from every corner of the globe. Taking a rigorous, hands-on approach, you’ll analyze data sets using Jupyter Notebook, an interactive open-source platform we will use for computational analysis. While the curriculum is pre-determined, this is an agile learning experience and there may be dynamic opportunities that present themselves based on real-world happenings.

• Interviews with industry experts who are driven by data, from leading companies including Google, the Oakland A's, Uber and more

• Live weekly 'prep sessions' to introduce any technical concepts for next module, weekly office hours and live assignment reviews

• Live webinars with UC Berkeley Executive Education faculty including Q&A

• Two week-long learning labs to focus on hands-on assignments and dig deeper into the data

• Application exercises using Python in Jupyter Notebook to visualize and analyze data (graded as complete or incomplete)

• Moderated discussion boards

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 864 668 8832 (US) / +44 121 387 3504 (UK) / +65 3129 7057 (SG)