Big Data の専門講座

Sep 22 より開講

Big Data の専門講座

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

この専門講座について

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.

作成者:

業界パートナー:

courses
6 courses

提案の順序に従うか、ご自分で選択してください。

projects
プロジェクト

習得したスキルの実践および応用を目的として作成されています。

certificates
修了証

履歴書またはLinkedInで新しいスキルを強調します。

コース
Beginner Specialization.
No prior experience required.
  1. コース 1

    Introduction to Big Data

    所要時間
    3 weeks of study, 5-6 hours/week
    字幕
    English, Korean, Persian

    コースについて

    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. コース 2

    Big Data Modeling and Management Systems

    所要時間
    6 weeks of study, 2-3 hours/week
    字幕
    English

    コースについて

    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. コース 3

    Big Data Integration and Processing

    字幕
    English

    コースについて

    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. コース 4

    Machine Learning With Big Data

    所要時間
    5 Weeks, 3 - 5 hours per week
    字幕
    English

    コースについて

    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. コース 5

    Graph Analytics for Big Data

    所要時間
    4 Weeks, 3-5 hours/week
    字幕
    English

    コースについて

    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. コース 6

    Big Data - Capstone Project

    今後のセッション:Nov 12
    字幕
    English

    キャップストーンプロジェクトについて

    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

作成者

  • 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

FAQs