hi my name is Steve Tadelis I'm a
professor of economics here at the
University of California Berkeley's Haas
School of Business I specialized in
microeconomics and e-commerce in a
variety of other fields and I also had
the benefit of spending a couple of
years at eBay as a senior director in
the research labs building a team of
data scientists and using that team to
inform the business on solid data driven
business decisions then I also had the
experience of spending a year at Amazon
as VP of economics and market design
also leading a team of data scientists
to help the business improve outcome
using economics and data science I'm
Shachar Kariv I'm Steve colleague here at
University of California I'm from the
Economics Department I was even the
chair of the Economics Department but
now my sentence is over and I paid my
debt to society
I was the faculty director of our
experimental laboratory and I'm also a
co-founder of a fin tech company in the
course that we're offering we'll start
with the fundamentals of data science
which is basically statistics
probability and how to make data-driven
decisions we want to build things from
the ground up starting from statistics
giving everyone the background that they
need in today modern world and being
able based on data and statistics to
make good business decisions for example
we're going to use methods like
statistical tests we're going to develop
the understanding of methods like
regression analyses apply to causal
inference to business decisions to
forecasting and we're going to end with
topics all around the lines of machine
learning and how to apply that to
business decisions so I think that you
know in today business world they have a
two types of decisions that you have to
make you have to make decisions based on
data and you have to make decisions
based on data that's the only type of
decisions that we are making so there
are people that are
actually doing the data analytics but
there are people that asking the
questions that we need to answer with
data and there are people that needs to
make decisions based on the data
analytics and everyone in this chain has
to understand data and know how to
leverage data which is probably the
biggest asset of companies these days
absolutely and where this course will
take you is to a place where you become
data literate and that is a fundamental
skill that you need today in order to
engage with different parts of the
data-driven business decision
environment that every company really
has to develop there are many avenues
that you could take to get some parts of
what we're putting together here in this
course what makes Berkeley unique is
first we are at the center of gravity of
data science and analytics here in the
San Francisco Bay Area every major
company you could think of was either
founded here or has a major presence
here and that relationship with the
University of having graduates who work
there having the connections there
having actually faculty who've worked in
these companies really is able to
leverage that theory and practice so
that you could get a product that will
really enhance your data literacy and
turn you into an effective actor in this
new economy no bilqis is not only a
great university it's the greatest
public university we've always been in
the cutting edge of both research and
teaching and research and teaching goes
together at Berkeley in addition we are
here in the San Francisco Bay Area and
we have all the connections with the
companies that are around here some
faculty are even the founders of this
company and as Steve said people are
combining their academic life with
working with these companies and in the
course we are going to see people from
the usual suspects that you can think
about Facebook Airbnb uber and all the
companies that are just around us
you might ask yourself is this course
right for you
if you are at any level in a
organization be it for profit be it
public Vietnam for profit you have to
adapt to this data environment and for
that reason you are a candidate for this
kind of course ideally its suited to
people from a variety of domains like
marketing and advertising like product
management like engineering like sales
like finance who want to get an
understanding of how data could be used
what is the right way to approach data
within organizations and how to deliver
a data-driven culture that takes data
turns it into insights and those
insights are turned into actual
decisions so you know each week we are
going to present an article at and another
topic and each week we are going to use
a combinations of pre-recorded lectures
by Steve and I self work and work with
Jupiter notebooks which will go together
with the topics that we are learning so
we would expect you to get a lot of wool
on your own both studying and learning
what Steve and I will talk about but
also do data analytics yourself you
should expect to spend anywhere from
four to six hours a week using some of
your time to watch the videos typically
those are not going to be more than two
hours a week you'll also have self work
that typical typically will be around
two hours a week every couple of weeks
we're going to have a live session where
we Shachar and I will interact with you
online to discuss the topics from the
previous two weeks so you have this real
holistic combination of pre-recorded
videos self work where you get your
hands dirty and life sessions where we
could interact with you to really make
sure that you're getting the value from
this course you might ask yourself
what's the importance of building a
data-driven culture well without it your
organization will
ever be able to leverage the high value
you have from the data you have or data
that you can collect the program that we
have here will help you create and
facilitate a data-driven culture first
by increasing your awareness of data
science and the analytics techniques
that go with it second giving you a
blueprint of how to make better business
decisions in your domain of expertise be
it advertising marketing sales HR or any
other function and third the module on
data science teams at the end of our
program is going to help you see how to
build the capabilities you need with a
more holistic view of what makes for a
winning data science and analytics team
for your organization you will learn how
to effectively communicate with
technical teams such as data scientists
and data analysts and you're going to
learn to speak their language and
importantly you're gonna gain the
knowledge you need to continue your
learning journey our program is unique
in that it really combines the theory
and practice you will get your hands
dirty in the data the exercises you will
do will really turn you into an
effective data literate person
