Data Scientist (Instructor-Led)

Mastering the art of meaningful data

Specialization Description

Advanced skills for the job-ready data scientist


In this specialization you'll tackle advanced concepts in data science with an industry expert in an online classroom setting. You'll explore curriculum created by Udacity, a global online learning provider, plus pick up additional best practices from Jothy Periasamy, MS, a chief data scientist and global instructor.

Job outlook

A Gallup study predicted that by 2021, 69% of employers expected that candidates with data science skills would be given preference for jobs in their organizations. Yet only 23% of college and university leaders say their graduates will have those skills by 2021

Data Scientist specialization objectives

  • Use Python and SQL to access and analyze data from several different data sources
  • Use principles of statistics and probability to design and execute A/B tests and recommendation engines to assist businesses in making data-automated decisions
  • Deploy a data science solution to a basic flask app
  • Manipulate and analyze distributed datasets using Apache Spark
  • Communicate results effectively to stakeholders

A month-to-month subscription program

Most students take four to five months to complete this specialization. You can choose to pay upfront or month-to-month. Learn more about the month-to-month subscription plan.

Benefits of a Udacity/UCSC partnership

The curriculum in this program is created by Udacity, our global online education partner, and augmented by an industry expert during live discussions and practical assignments. Here are some of the perks of choosing this program.

  • Top University of California/Udacity technical curriculum.
  • A certificate of completion from UC Santa Cruz, an accredited university with a global reputation and a 50+-year history of exceptional professional training.
  • A UCSC Silicon Valley-branded digital badge to show off your acquired skills on LinkedIn and provide aptitude verification for employers.
  • 12 continuing education units (CEUs).
  • A self-paced, soft skills curriculum (0.5 CEUs) to strengthen your critical interpersonal skills for the job market.
  • One-on-one career counseling session and workshops with one of our workforce partners for those who are eligible.
  • Online job search tools and recruitment partners with Handshake, the No. 1 national virtual job fair platform for college students.
  • A 24/7 online resume-building tool that leverages data science, machine learning, and natural language processing to provide you with instant personalized feedback on your resume based on criteria gathered from employers and global best practices.
  • Engagement with the UC Santa Cruz community through live, topical webinars and career-related events.
  • A Udacity Nanodegree certificate.

Interested in a self-paced option?

If you're the kind of learner who likes to explore things on their own, you might want to check out our self-paced option. You'll have up to six months to finish your Data Scientist studies

Estimated Cost: Varies. (You pay only for courses you enroll in)
Required Credits: 12 CEUs
Duration: Students complete the instructor-led curriculum in five months.



Specialization Inquiry Form

Contact Us
Speak to a student services representative.

Call (408) 861-3860


Requisite Knowledge

Python • SQL • Statistics

Python programming skills
Writing functions, logic, control flow, and building basic applications, as well as common data analysis libraries like NumPy and pandas • SQL programming: Querying databases using joins, aggregations, and subqueries • Comfortable with using the Terminal, version control in Git, and using GitHub

Probability and statistics skills
Descriptive Statistics: Calculating measures of center and spread, estimation distributions • Inferential Statistics: Sampling distributions, hypothesis testing • Probability: Probability theory, conditional probability

Calculus: Maximizing and minimizing algebraic equations • Linear Algebra: Matrix manipulation and multiplication

Data wrangling
Accessing database, CSV, and JSON data • Data cleaning and transformations using pandas and Sklearn

Data visualization with matplotlib
Exploratory data analysis and visualization • Explanatory data visualizations and dashboards

Machine learning

We offer courses to help you prepare for this specialization.

Our recent posts on Data Scientist (Instructor-Led)