Data Science at Scale Specialization

Starts Dec 18

Data Science at Scale Specialization

Data Science at Scale Specialization

Tackle Real Data Challenges. Master computational, statistical, and informational data science in three courses.

About This Specialization

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project.

Created by:

courses
4 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

Courses
Intermediate Specialization.
Some related experience required.
  1. COURSE 1

    Data Manipulation at Scale: Systems and Algorithms

    Upcoming session: Dec 18
    Commitment
    4 weeks of study, 6-8 hours/week
    Subtitles
    English

    About the Course

    Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the pro
  2. COURSE 2

    Practical Predictive Analytics: Models and Methods

    Upcoming session: Dec 18
    Commitment
    4 weeks of study, 6-8 hours/week
    Subtitles
    English

    About the Course

    Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting sta
  3. COURSE 3

    Communicating Data Science Results

    Upcoming session: Dec 18
    Subtitles
    English

    About the Course

    Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB. In order to compl
  4. COURSE 4

    Data Science at Scale - Capstone Project

    Upcoming session: Jan 15
    Commitment
    6 weeks of study, 3-4 hours/week
    Subtitles
    English

    About the Capstone Project

    In the capstone, students will engage on a real world project requiring them to apply skills from the entire data science pipeline: preparing, organizing, and transforming data, constructing a model, and evaluating results. Through a collaborat

Creators

  • University of Washington

    The University of Washington is a national and international leader in the core fields that are driving data science: computer science, statistics, human-centered design, and applied math.

    Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.

  • Bill Howe

    Bill Howe

    Director of Research

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