The following program is subject to the approval of Arizona State University.

Big Data MasterTrack™ Certificate

Give your career a competitive edge in data mining techniques, data analytics, data visualization, and statistical machine learning from the #1-ranked school for innovation in the U.S.

Enrollment opens September 2019! Sign up to learn more about this program.
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Institution

Earn Credit Towards a Degree If you get a B or better on your first attempt in every course in the MasterTrack™ Certificate, you will be eligible for ASU’s Master of Computer Science degree program. Apply these credits to the Master of Computer Science at Arizona State University to begin the program with up to 9 of your 30 required credits completed.

About this Online Certificate Program

Learn to navigate large, complex datasets through interactive exploration.

With zettabytes of data being collected annually, governments, companies, and people have more access to data than ever before. With so much data, it can be hard to know where to start looking for important insights or trends to drive business decisions.

Data mining techniques provide the first level of abstraction to raw data by extracting patterns, making big data analytics tools increasingly critical for providing meaningful information to inform better business decisions, and applying statistical learning theory to find a predictive function based on data..

You’ll learn to apply mathematical theory and decision making techniques that are vital to big data analysis, classification, clustering, and association rule mining through real-world projects designed by faculty from Arizona State University.

By committing to online study for 4-6 months, you can earn the Big Data MasterTrack Certificate that will be a pathway to the online Master of Computer Science degree at Arizona State University.

...
  • Globe

    100% online courses

  • Money

    $4,500

    Option to pay by course. You will also be asked to pay an application fee when registering through the ASU website.

  • Clock

    4-6 months to complete

  • Intermediate Level

    Intermediate Level

    You should have an undergraduate education in computer science, including knowledge of computer organization and architecture, discrete mathematics, data structures, and algorithms.

    Knowledge of high-level programming languages (e.g. Java) and scripting language (e.g. Python), relational database structures, and statistics is also recommended.

  • Layer

    3 hands-on projects

  • Comment Dots

    English

  • Institution

    Earn academic credit

    Receive 3 credits for every course.

What you will learn

  • Develop exploratory data analysis and visualization tools using Python and Jupyter notebooks
  • Apply design principles for a variety of statistical graphics and visualizations including scatterplots, line charts, histograms, and choropleth maps
  • Apply common data mining algorithms to discover relationships and patterns in large datasets
  • Implement more advanced learning algorithms such as deep learning and reinforcement learning
  • Perform scalable data processing operations in cloud computing environments

Skills you will gain

  • Data mining
  • Data visualization
  • Big data
  • Queries
  • Data processing
  • Spatial data
  • Nosql databases
  • Data models
  • Data classification
  • Data clustering
  • Deep learning
  • Reinforcement learning
  • Apache Spark
  • Python
  • Java
  • Globe

    100% online courses

  • Money

    $4,500

    Option to pay by course. You will also be asked to pay an application fee when registering through the ASU website.

  • Clock

    4-6 months to complete

  • Intermediate Level

    Intermediate Level

    You should have an undergraduate education in computer science, including knowledge of computer organization and architecture, discrete mathematics, data structures, and algorithms.

    Knowledge of high-level programming languages (e.g. Java) and scripting language (e.g. Python), relational database structures, and statistics is also recommended.

  • Layer

    3 hands-on projects

  • Comment Dots

    English

  • Institution

    Earn academic credit

    Receive 3 credits for every course.

What is a MasterTrack™ Certificate?

We’ve split portions of Master’s programs into modules so you can earn a university-issued career credential online at a breakthrough price. Each program features a deeply engaging learning experience with real-world projects and live expert instruction. If you are accepted to the full Master's program, your MasterTrack Certificate counts towards your degree.

Graduation Cap

Master’s Degree Learning

Take an online module of a Master's degree program that features live expert instruction and feedback combined with interactive team-based learning.

Layer

Boost Your Career

Receive a university-issued MasterTrack Certificate from a top university that you can add to your resume and LinkedIn profile.

MembersMembers

Build Your Portfolio

Demonstrate your skills through real-world projects and create work samples that help you stand out in your job search.

Stacked File

Earn Credit Towards a Degree

If you get a B or better on your first attempt in every course in the MasterTrack™ Certificate, you will be eligible for ASU’s Master of Computer Science degree program. Apply these credits to the Master of Computer Science at Arizona State University to begin the program with up to 9 of your 30 required credits completed.

Interactive Learning Experience

You'll learn through readings, videos, graded assignments, real-world applied projects, and live global classroom sessions.

live-global-webinars

Live Global Webinars

feedback-instructors-experts

Feedback from Instructors and Experts

real-world-projects

Real-World Projects

3 Courses in this MasterTrack™ Certificate

Take 3 of the 4 courses listed to earn your certificate.

Courses include:

  • Pre-recorded videos
  • Live sessions and office hours
  • Real-world projects
  • Peer collaboration
  • Web and mobile access

CSE 511 Data Processing at Scale

Database systems are used to provide convenient access to disk-resident data through efficient query processing, indexing structures, concurrency control, and recovery. This course delves into new frameworks for processing and generating large-scale datasets with parallel and distributed algorithms, covering the design, deployment, and use of state-of-the-art data processing systems, which provide scalable access to data....
See all 4 Courses

Industry-relevant hands-on projects to build your portfolio

Clock
15 hours total

Activity Recognition Using Data Mining

Develop a computing system that can understand human activities where there will be data provided for a given activity, specifically eating action mixed with other unknown activities. The aim is to identify the eating activities amongst the noise. ...

WHAT YOU WILL LEARN

  • Apply common data mining algorithms to discover relationships and patterns in large datasets.
Clock
20 hours total

Introduction to Statistical Graphics Using Data Visualization

Predict the income of an individual based on different values of the input parameters so that a company can tailor its marketing efforts of reaching out the individuals. ...

WHAT YOU WILL LEARN

  • Combine exploratory queries, graphics, and interaction to develop functional tools for exploratory data analysis and data visualization.
Clock
20 hours total

Hot Cell Analysis in Big Data

Apply spatial statistics to spatio-temporal big data in order to identify statistically significant spatial hot spots using Apache Spark....

WHAT YOU WILL LEARN

  • Demonstrate handling of computation intensive queries in big data.
See all 4 projects

Instructors

  • Mohamed-Sarwat

    Mohamed Sarwat, Ph.D.

    Assistant Professor of Computer Science; Director of the Data Systems (DataSys) Lab

  • Ross Maciejewski ASU

    Ross Maciejewski, Ph.D.

    Associate Professor at the School of Computing, Informatics & Decision Systems Engineering; Director of the Center for Accelerating Operational Efficiency, a Department of Homeland Security Center of Excellence

  • Ayan-Banerjee-ASU

    Ayan Banerjee, Ph.D.

    Assistant Research Professor at the School of Computing Informatics and Decision Systems Engineering

Frequently Asked Questions

More questions? Visit the Learner Help Center.

MasterTrack™ Certificates are earned by completing a concatenation of graduate-level courses offered on the Coursera platform by some of the world's most elite universities. Those same universities may allow qualified, admitted students to apply earned MasterTrack™ Program credits towards related Master's degrees, leading to an affordable academic degree. Coursera does not grant academic credit, and does not guarantee that completion of a MasterTrack™ Program will result in academic credit; the decision to grant, accept, or transfer academic credit is subject to the sole and absolute discretion of an academic institution.