Introduction to Data Science

COM SCI X 450.1

This course introduces students to the evolving domain of data science and the foodchain of knowledge domains involved in its application. Students learn a range of challenges and questions that data science helps address.

READ MORE ABOUT THIS COURSE
Fall
Winter
Spring
Summer
Classroom
Online
Starting at $995.00
As few as 10 weeks
4.0
3.6

What you can learn.

  • Configure a data science notebook server
  • Prepare a well-defined problem statement for a new problem
  • Learn the R programming language
  • Be introduced to machine learning

About this course:

This course introduces students to the evolving domain of data science and to the food-chain of knowledge domains involved in its application. Students learn a wide range of challenges, questions, and problems that data science helps address in different domains, including social sciences, finance, health and fitness, and entertainment. The course addresses the key knowledge domains in data science, including data development and management, machine learning and natural language processing, statistical analysis, data visualization, and inference. The course includes case studies that require students to work on real-life data science problems. 
Suggested Prerequisites

It is advisable that you complete the following (or equivalent) since they are prerequisites for Introduction to Data Science.

Knowledge of a programming language is required. Prior training/experience in mathematics and statistics is helpful.

Fall 2019 Schedule

Available Format(s):

These courses are fully online, and there are no in-person classroom meetings.

Available
-
Instructor: Ali El-Annan
370277
Fee:
$995.00
36 days left. Enroll by Sep 23, 2019
See Details
Notes

Enrollment limited. Enrollment deadline: October 7, 2019. Internet access required. Materials required.

Refund Deadline
No refunds after October 06, 2019
Course Requirements
Internet access required to retrieve course materials.
Available
-
Instructor: Ali El-Annan
370278
Fee:
$995.00
36 days left. Enroll by Sep 23, 2019
See Details
Notes

Enrollment limited. Enrollment deadline: October 7, 2019. Internet access required. Materials required.

Refund Deadline
No refunds after September 16, 2019
Course Requirements
Internet access required to retrieve course materials.

These courses meet in person and make use of an online presence to varying degrees.

Available
-
Thursday 6:30PM - 10:00PM
Location: UCLA Extension Gayley Center in Westwood
Instructor: Vera Kalinichenko
370238
Fee:
$995.00
39 days left. Enroll by Sep 26, 2019
See Details
Notes

No meeting November 28, 2019.

Students are required to bring a laptop to class.

Enrollment limited. Enrollment deadline: October 2, 2019. Internet access required. Materials required.

Refund Deadline
No refunds after October 09, 2019
Course Requirements
Internet access required to retrieve course materials.
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 1st Edition by Aurélien Géron
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Edition by Wes McKinney
Schedule
Type
Date
Time
Location
Lecture
Thu Sep 26, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Lecture
Thu Oct 3, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Lecture
Thu Oct 10, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Lecture
Thu Oct 17, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Lecture
Thu Oct 24, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Lecture
Thu Oct 31, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Lecture
Thu Nov 7, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Lecture
Thu Nov 14, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Lecture
Thu Nov 21, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Lecture
Thu Nov 28, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Lecture
Thu Dec 5, 2019
6:30PM - 10:00PM
UCLA Extension Gayley Center in Westwood
UCLA Extension Gayley Center 113
Available
-
Tuesday 6:00PM - 9:30PM
Location: UCLA
370240
Fee:
$995.00
37 days left. Enroll by Sep 24, 2019
See Details
Notes

Students are required to bring a laptop to class.

Enrollment limited. Enrollment deadline: September 30, 2019. Internet access required. Materials required.

Refund Deadline
No refunds after October 07, 2019
Course Requirements
Internet access required to retrieve course materials.
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R by Daniel D. Gutierrez
(Optional) The Art of R Programming: A Tour of Statistical Software Design by Norman Matloff
Schedule
Type
Date
Time
Location
Lecture
Tue Sep 24, 2019
6:00PM - 9:30PM
UCLA
Boelter Hall 5280
Lecture
Tue Oct 1, 2019
6:00PM - 9:30PM
UCLA
Boelter Hall 5280
Lecture
Tue Oct 8, 2019
6:00PM - 9:30PM
UCLA
Boelter Hall 5280
Lecture
Tue Oct 15, 2019
6:00PM - 9:30PM
UCLA
Boelter Hall 5280
Lecture
Tue Oct 22, 2019
6:00PM - 9:30PM
UCLA
Boelter Hall 5280
Lecture
Tue Oct 29, 2019
6:00PM - 9:30PM
UCLA
Boelter Hall 5280
Lecture
Tue Nov 5, 2019
6:00PM - 9:30PM
UCLA
Boelter Hall 5280
Lecture
Tue Nov 12, 2019
6:00PM - 9:30PM
UCLA
Boelter Hall 5280
Lecture
Tue Nov 19, 2019
6:00PM - 9:30PM
UCLA
Boelter Hall 5280
Lecture
Tue Nov 26, 2019
6:00PM - 9:30PM
UCLA
Boelter Hall 5280

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