Upgrade Education!
COURSE OVERVIEW
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge or insights from data in various forms. Data science is an extension of data analysis fields like data mining, statistics, and predictive analysis. Data science uses theories and techniques that are part of other fields, such as information science, mathematics, statics, and computer science. Some methods used in data science include probability models, machine learning, signal processing, data mining, statistical learning, database, data engineering, visualization, pattern recognition and learning, uncertainty modeling, computer programming among others.
This program offered by UC Berkeley professor Greg L. aims to provide an understanding of the role of data and statistical analysis in managerial decision-making. We focus on the role of managers as both consumers and producers of information, illustrating how finding and/or developing the right data and applying appropriate statistical methods can help solve problems in business. With a highly experiential curriculum that combines lectures, case discussions, and team projects, this program will equip students with a competitive edge in their professional and academic careers by mastering one of the hottest topics of technology.
WHY DATA SCIENCE?
Data and information have become the key resources in a wide range of industries. Data is so important to all organizations and at all levels. It’s not just big IT and software companies: data experts are needed in banking and finance, automotive, energy, healthcare, transport, retail, and virtually every domain you can think of. The job titles you will encounter are as diverse as the responsibilities you will have. If you are a specialist who knows how to “crunch the numbers”, you will be a valuable team member in many parts of an organization.
Data scientists are in high demand - and employers don’t find enough graduates to fill their openings. To address the demand, universities have been increasing the number of bachelors and masters in data engineering and data analytics. With potential employers fighting over them, university graduates are now in a comfortable position and can demand high salaries.
Example Jobs (See Diagram Below for More Details):
✦ Analytics Engineer
✦ Analytics Manager
✦ Big Data Engineer
✦ Business Analyst
✦ Data Architect
✦ Data Analyst
✦ Data Engineer
✦ Data Scientist
✦ Data Visualization Specialist
✦ Business Intelligence (BI) Architect
✦ Business Intelligence Engineer
✦ Statistician
"Data scientists are becoming the most respected professionals of the 21st century."
-- Tom Davenport & DJ Patil
* Domain Expertise seen in the diagram above may include finance, business, biology, psychology & computer science etc.
PROGRAM OUTCOMES
• Learn the fundamental knowledge of Data Science from a UC Berkeley Professor
• Understand the business applications of Data Science
• Apply predictive analytics to real-world case studies
• Master data management software tools, such as BigML & DataRobot
• Gain invaluable experience with an in-depth academic presentation & research paper
ABOUT THE INSTRUCTOR
• Professor at the Haas School of Business, University of California, Berkeley
• Former Professor at University of Pennsylvania, Duke University, and The University of Virginia
• Four bachelor's degrees, one master's degree, and studied two doctoral degrees (finance and law)
• Co-founder of an Ed-Tech startup, Director and Advisor to many startups and incubators like Skydeck, Fintech hub etc.
• The first professor in the nation offering interdisciplinary blockchain courses.
IMPACT
• Learn the fundamental knowledge of Data Science from a UC Berkeley Professor
• Understand the business applications of Data Science
• Apply predictive analytics to real-world case studies
• Master data management software tools, such as BigML and DataRobot
• Perform data analysis using datasets that will be made available during the course
• Gain invaluable research experience with an in-depth academic presentation and research paper
HIGHLIGHTS & BENEFITS
Stunning Results
Certificate of completion with professor's signature
+
Top students may receive professor's recommendation letters
x
Intellectual Capital
A solid presentation on research findings
+
In-depth academic research paper
+
Multiple skills to build your resume
+
Impressive projects for interviews
x
Powerful Network
5-week close interaction with UC Berkeley Professor
+
support from research assistants of top schools
+
Connections with elite students all over the world
=
Offers from Top Schools and Leading Enterprises!
MEET YOUR PROFESSOR
.jpeg)
Prof. Greg L.
• Professor at the Haas School of Business, University of California, Berkeley
• Former Professor at University of Pennsylvania, Duke University and The University of Virginia
• Four bachelor’s degrees, one master's degree, and studied two doctoral degrees (finance and law)
• The only interdisciplinary professor who teaches at the school of business, the school of law and the school of engineering
• Recipient of teaching awards including the Earl F. Cheit Award for Outstanding Teaching, 2009; and the Haas EWMBA Graduate Instructor of the year, 2004-2005
• Co-founder of an Ed-Tech startup, Director and Advisor to many startups and incubators like Skydeck, Fintech hub etc.
• First professor in the nation offering interdisciplinary block-chain courses.
How To Apply
• Please fill out the basic registration form below and a program specialist will contact you
• Students who pass the first round evaluation need to submit a subsequent application package including:
(1) Application essay
(2) Transcript
(3) Resume (optional)
(4) Application interviews in certain cases
