Big Data 전문 분야

Sep 24에 시작

Big Data 전문 분야

Unlock Value in Massive Datasets. Learn fundamental big data methods in six straightforward courses.

전문분야 소개

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. ********* 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.


산업 파트너:

6 courses

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Beginner Specialization.
No prior experience required.
  1. 강좌 1

    Introduction to Big Data

    3 weeks of study, 5-6 hours/week
    English, Korean, Persian

    강좌 소개

    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 and
  2. 강좌 2

    Big Data Modeling and Management Systems

    6 weeks of study, 2-3 hours/week

    강좌 소개

    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 be
  3. 강좌 3

    Big Data Integration and Processing


    강좌 소개

    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 lar
  4. 강좌 4

    Machine Learning With Big Data

    5 Weeks, 3 - 5 hours per week

    강좌 소개

    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 intro
  5. 강좌 5

    Graph Analytics for Big Data

    4 Weeks, 3-5 hours/week

    강좌 소개

    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 want
  6. 강좌 6

    Big Data - Capstone Project

    시작 예정 세션:

    캡스톤 프로젝트에 대하여

    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 from


  • University of California San Diego

    The San Diego Supercomputer Center (SDSC) at UC San Diego is a leader in data-intensive computing and cyberinfrastructure. SDSC supports hundreds of multidisciplinary programs spanning domains from earth sciences and biology to astrophysics and bioinformatics.

    UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.

  • Amarnath Gupta

    Amarnath Gupta

    Director, Advanced Query Processing Lab
  • Mai Nguyen

    Mai Nguyen

    Lead for Data Analytics
  • Ilkay Altintas

    Ilkay Altintas

    Chief Data Science Officer