1
00:00:04,490 --> 00:00:08,260
In this class, we'll cover
these examples and many more.

2
00:00:08,260 --> 00:00:12,110
Each week will be composed of
two lectures, a recitation,

3
00:00:12,110 --> 00:00:13,960
and homework assignments.

4
00:00:13,960 --> 00:00:17,900
Each lecture is focused on a
different real-world example.

5
00:00:17,900 --> 00:00:21,340
We will teach analytics methods
in the statistical software

6
00:00:21,340 --> 00:00:24,230
R. In the recitations,
we will present

7
00:00:24,230 --> 00:00:27,160
another example of the
methodology and more practice

8
00:00:27,160 --> 00:00:29,720
in R. In a homework
assignment, we'll

9
00:00:29,720 --> 00:00:33,720
provide additional
problems and datasets.

10
00:00:33,720 --> 00:00:35,180
Midway through
the class, we will

11
00:00:35,180 --> 00:00:37,240
run an analytics competition.

12
00:00:37,240 --> 00:00:39,510
We'll challenge you
to build a model

13
00:00:39,510 --> 00:00:42,080
and get the best
accuracy possible.

14
00:00:42,080 --> 00:00:43,870
At the end of the
class, we'll test you

15
00:00:43,870 --> 00:00:45,730
on all of the methods used.

16
00:00:45,730 --> 00:00:49,970
The questions will be
real-world problems.

17
00:00:49,970 --> 00:00:52,950
Let me comment on the
overall goal of the class.

18
00:00:52,950 --> 00:00:56,720
This class aims to make you
comfortable using analytics

19
00:00:56,720 --> 00:00:59,050
in your career and your life.

20
00:00:59,050 --> 00:01:01,660
You will know how to
work with real data,

21
00:01:01,660 --> 00:01:04,310
and will have learned many
different methodologies,

22
00:01:04,310 --> 00:01:07,970
and how to use them using
R. In the end of the day,

23
00:01:07,970 --> 00:01:10,820
we want to convince you
that analytics provides

24
00:01:10,820 --> 00:01:14,360
an edge to your
career and your life.