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Data Science

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Data Analysis

Business Insights through Big Data Analytics

Big data is being developed by integrating with various business areas. In particular, big data is useful for identifying the latest business trends. Therefore, after studying big data application cases in marketing, finance, and healthcare, we aim to learn how to extract data patterns through a technical understanding of big data platform construction and analysis techniques, and apply them to business. **Business environment analysis and new business creation through big data!** This is the beginning of the concerns for all professionals seeking new business environments in the era of the 4th Industrial Revolution.

2 learners are taking this course

  • kpcre
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Big Data

What you will learn!

  • Understand Cloud, Internet of Things, Hadoop, and Artificial Intelligence as core technologies forming the foundation of Big Data.

  • Grasp domestic big data use cases across marketing, finance, medical fields.

  • Through a technical understanding of Big Data platforms and Machine Learning algorithms, Big Data can be effectively analyzed.

  • Through big data visualization, the nature of big data can be intuitively expressed.

  • Big data can create new businesses and foster insight into future business environments.

For office workers who want a business that fits the times!

Business insights to learn about big data and business trends!


Big data is being developed by being combined with various business areas. In particular, big data is useful for understanding the latest trends in business. Therefore, after learning about big data utilization cases in the marketing, finance, and medical fields, we will learn how to extract data patterns and utilize them in business through a technical understanding of big data platform construction and analysis techniques.

Analyze business environment and create new businesses through big data!

This is the beginning of concerns for all workers seeking a new business environment in the 4th Industrial Revolution.


Field-oriented education

  • We provide comprehensive learning content from basic concepts of big data to use cases.

  • Based on a comprehensive understanding of big data, the course is structured as a process linked to the field and practice, and provides an opportunity to think about the position and capabilities of actual employees.


Presenting key points centered on practice

  • Topic-based learning is possible through micro-learning centered on core keywords that can be immediately applied in practice.

Course Contents


  1. Understanding Big Data

  2. Latest ICT Trends

  3. ICBM: Cloud

  4. ICBM: Big Data and Artificial Intelligence (1)

  5. ICBM: Big Data and Artificial Intelligence (2)

  6. Big Data Utilization: Marketing

  7. Big Data Utilization: Finance and Other Fields

  8. Big Data ISP Case

  9. Big Data Platform

  10. Big Data Analysis: Machine Learning (1)

  11. Big Data Analysis: Machine Learning (2)

  12. Big Data Analysis: Machine Learning (3)

  13. Big Data Visualization: Overview

  14. Big Data Visualization: The Four Elements

  15. The Role of Big Data and Its Three Elements

  16. The Future of Big Data



Presenting differentiated content through hiring big data experts

We invite big data experts to provide lectures that carefully select only the core skills required in industrial sites. We invite lecturers who are well-received for their in-depth lectures in companies, public institutions, and universities to provide specialized and differentiated content. In addition, we provide numerous practical cases with the goal of enabling learners to discover and develop their own core competencies through abundant field experience and high-level expert education.


CEO Jang Hyeong-seok

Current CEO of Dotcom Solutions

Currently, adjunct professor at the Department of Business Data Convergence, Chungbuk National University

Currently, adjunct professor at Kookmin University Big Data Management MBA program

Current) Big Data Expert Committee Member, Korea Information Society Agency



Recommended for
these people

Who is this course right for?

  • All executives and employees requiring practical use of big data analysis

  • IT, Marketing & Statistics, Information Processing, Strategy & Planning Staff

  • IT professionals interested in Big Data Platforms and Machine Learning Algorithms

  • All staff interested in Big Data

Hello
This is

307

Learners

25

Reviews

4.6

Rating

124

Courses

1987년에 설립된 한국생산성본부 부설기관으로, 기업과 공공기관의 임직원을 대상으로 회사생활에 꼭 필요한 직무교육을 제공하고 있습니다.

실제 기업의 업무에서 일어나는 ‘일’을 바탕으로 실무역량 강화를 위한 직무역량(Job-Duty-Task) 기반의 교육 콘텐츠를 구성했습니다.

차원이 다른 직무교육을 경험해 보세요!

홈페이지 : https://www.kpcice.or.kr

Curriculum

All

16 lectures ∙ (11hr 11min)

Published: 
Last updated: 

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