Big Data Specialization
Unlock Value in Massive Datasets. Learn fundamental big data methods in six straightforward courses.
About This Specialization
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
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Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.
Created by:

Industry Partners:

6 courses
Follow the suggested order or choose your own.
Projects
Designed to help you practice and apply the skills you learn.
Certificates
Highlight your new skills on your resume or LinkedIn.
Courses
- Beginner Specialization.
- No prior experience required.
COURSE 1
Introduction to Big Data
Current session: Apr 16- Commitment
- 3 weeks of study, 5-6 hours/week
- Subtitles
- English, Persian
About the Course
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology andYou can choose to take this course only. Learn more.
COURSE 2
Big Data Modeling and Management Systems
Upcoming session: Apr 23- Commitment
- 6 weeks of study, 2-3 hours/week
- Subtitles
- English
About the Course
Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will beYou can choose to take this course only. Learn more.
COURSE 3
Big Data Integration and Processing
Current session: Apr 16- Subtitles
- English
About the Course
At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in larYou can choose to take this course only. Learn more.
COURSE 4
Machine Learning With Big Data
Upcoming session: Apr 23- Commitment
- 5 Weeks, 3 - 5 hours per week
- Subtitles
- English
About the Course
Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introYou can choose to take this course only. Learn more.
COURSE 5
Graph Analytics for Big Data
Upcoming session: Apr 23- Commitment
- 4 Weeks, 3-5 hours/week
- Subtitles
- English
About the Course
Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and wantYou can choose to take this course only. Learn more.
COURSE 6
Big Data - Capstone Project
Upcoming session: May 28- Subtitles
- English
About the Capstone Project
Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization. You will analyze a data set simulating big data generated fromYou can choose to take this course only. Learn more.
Creators
Amarnath Gupta
Director, Advanced Query Processing Lab
Mai Nguyen
Lead for Data Analytics
Ilkay Altintas
Chief Data Science Officer
FAQs
More questions? Visit the Learner Help Center.