Applied analytics in business projects
April 26-27th, University of Economics, Prague
Data X at Berkeley
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About

2 Day Masterclass | For Technical Leaders

Learn to Master Artificial Intelligence, Data Science, Cloud Computing, Big Data Applications in business projects.

This 2 day workshop will teach leaders and business managers how to master the technologies and concepts that are changing the business landscape.

Leaders need hands-on experience with contemporary technology and that is something Data X at Berkeley provides.

You will learn how to implement a successful data strategy and how the tools work in practice.

This course is highly applied. We’ll teach you technologies and concepts that can help you solve specific problems in your organization.

The new industrial revolution is here and we will teach you how to benefit from it!

This Workshop

From UC Berkeley to Industry

Contents of the Program

The Business: We will help you tackle the challenge of business creation and business transformation in the age of data. We’ll discuss and teach how data and algorithms projects relate to your firm’s general business strategy, leadership, culture, and business objectives. We will teach you about data-driven business models so that you can monetize the power in your data.

The Tools: We will also teach you how to practically use Data Science and AI tools that drive the development of smart emerging technologies. We will go through the most useful open-source tools in the Data Scientist's toolbox and get our hands dirty with state-of-the-art software and techniques to preprocess data, conduct analysis, make predictions, deploy applications and much more.

The Workshop is a comprehensive overview of everything you need to know in order to implement a successful data strategy and be a leader in your industry.

The 2 day workshop

 

Syllabus Day 1

Intro to Data Science & AI

  • Brief History
  • What is Machine Learning, Data Science, and AI
  • Today’s technology in Industry
  • The Power of Big Data in business projects
  • Utilize your Data in business projects

Get Value from your Data

  • Data-driven business models
  • Data, AI, and Innovation
  • Case studies from different industries
  • Successful Innovation Strategies
  • Utilize your Data in business projects

Data Science Tools & Algorithms

  • Data Science in Python
  • Jupyter Notebooks
  • Numpy & array computation
  • Pandas
  • Matplotlib + Seaborn
  • Putting it all together: Complete exercise

Syllabus Day 2

Challenges & The Future of Data Science (Executive track)

  • Competing with AI giants
  • Implementation of a Data Strategy
  • How to prepare for the future of AI
  • Acquiring talent

Big Data, Cloud Computing & Spark (Technical track)

  • Big Data & Cloud computing
  • Hadoop, MapReduce, Spark, Kafka
  • Online Learning & Streaming Data

Lead Instructors

 

IKHLAQ SIDHU

PROFESSOR & CHIEF SCIENTIST,
UC BERKELEY

Founding Director
Center for Entrepreneurship & Technology

A world-class expert in technology, innovation, and leadership. Invented the technology used in Skype and other internet communications. Over 60 patents. Started 4 new companies (3 still active). Developed Data-X. Serves on many advisory boards. Created the Entrepreneurship & Technology area at the #1 public university in the world.

 

ALEXANDER FRED OJALA

RESEARCH SCHOLAR & LECTURER,
UC BERKELEY

M.Sc. Mathematical Statistics
UC Berkeley / Lund University

Alexander is a lecturer and core developer of the UC Berkeley class Applied Data Science. He is the Data Science lead for The Berkeley Innovation Index and an avid Blockchain enthusiast. He has also been part of the founding team of 3 companies: Wheely's (accepted into YC 2015), Auranest (Series A), and InnoQuant (currently Co-founder & COO).

Price & Registration

 

Common ticket

15.000,- CZK / EUR 600 + 21% VAT

Includes: entrance to whole event, fee for both days of the workshop

Register

Full event ticket

25.000,- CZK / EUR 1000 + 21% VAT

Includes: entrance to whole event, fee for both days of the workshop inc. discovery Prague evening program

Register

History & Background

 

  • Winter
    2016

    Data-X

    developed at UC Berkeley by professor Ikhlaq Sidhu, data science scholar Alexander Fred Ojala, and IEOR Ph.D. Kevin Li.

  • Spring
    2017

    Data-X

    offered to 60 students at UC Berkeley. 16 unique data projects are coached this semester, and 10 industry mentors are part of the class.

  • Summer
    2017

    The Data-in-Action

    (Data-X) lab is launched at The Sutardja Center for Entrepreneurship & Technology at UC Berkeley. The lab develops new data applications and the emerging ecosystems together to support industry ceration in this emerging new area.

  • Fall
    2017

    Data-X

    accepted into UC Berkeley’s standard curriculum of classes as “IND ENG 135 / 290: Applied Data Science with Venture Applications”. 140 students enrolled, 30 unique Data Projects, and 40+ industry mentors connected to the class.

  • Winter
    2017

    The Data-X

    teaching materials are extended for off campus audiences for the first time. A 2-day Masterclass for Technical Leaders and a 1-day Master Class for Executives are available.

 

The world is reinventing itself with Data and AI. However, neither leading companies nor top students have the complete knowledge set they need to participate and lead in this emerging field.

Data-X, as a global collaboration, is designed to fix this problem.

Contact Us

 

Ota Novotný

University of Economics, Prague

ota.novotny@vse.cz

Martin Potančok

University of Economics, Prague

martin.potancok@vse.cz