Big Data Analyst (TÜV Rheinland Certified)

Enhance Your Big Data Analysis Skills: Polishing Expertise in Methodology and Technology

This comprehensive program is designed to empower participants with the necessary methodological and technical skills to excel as Big Data Analysts. By delving into advanced concepts and techniques, this course equips learners with the tools they need to analyze and interpret large datasets effectively.

Throughout the program, participants will explore state-of-the-art data mining techniques that enable them to uncover unexpected patterns, structures, models, and trends within complex data sets. These insights can then be utilized to facilitate smarter decision-making processes and drive organizational growth. To make the most of this program, prospective participants should possess a foundational understanding of statistics or mathematics, as well as knowledge in data mining or general computer science. Additionally, having business or domain expertise will further enrich the learning journey, enabling learners to apply their newfound skills within relevant contexts.

Gain the knowledge and skills necessary to pass the TÜV Rheinland Big Data Analyst exam with the help of this course. You'll acquire the skills to analyze massive data sets with state-of-the-art software and methods.

7,770,000.00 IDR

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  1. Course Code: IDN-F1-VC

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Order
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After completing this program, participants are expected to have competence in:

  • Perform predictive analytics
  • Build predictive models based on structured and unstructured data
  • Perform machine learning activities
  • Analyze social network/graph data
  • Perform text analytics
  • Perform computational modeling
  • Big Data computation framework
  • Artificial Neural Network and Deep Learning Concepts

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  • Executives
  • Senior managers in finance
  • Marketing
  • Supply chain
  • Human resources or strategy

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The participants bring the following educational and professional background:

  • A bachelor’s or master’s degree in Informatics, Computer Science, Statistics, Business Management from e.g. Telkom University or other state recognized educational institution


OR

  • A minimum of 1 (one) year relevant professional experience in data analysis and data engineering.
  • Participation in the training course approved by PersCert TÜV. The course duration is 3 days with a total of 24 teaching hours. The presence is documented by signature of the participant. Admission to the exam is subject to a minimum attendance of 100 %.

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  • Graph data analytics
  • Social network data analysis
  • Computational modelling
  • Predictive analytics.

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Certificate of Completion

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For payment and other inquiries, please contact our Sales Executive:

  • Ms. Rezky Citra - (Rezky.Citra@tuv.com | +62 896-1257-3270)
  • Ms. Novia Yulianti - (Novia.Yulianti@tuv.com | +62 814-1350-3255)
  • Mr. Hendra - (Hendra.hendra@tuv.com | +62 856-2448-0758)
  • Ms. Jesseca Cindy - (Jesseca.Cindy@tuv.com | +62 812-8183-8854)

ADDITIONAL INFORMATION

  • Fees are inclusive of training materials and certificate.
  • Training fees exclude 11% VAT.

CANCELLATION POLICY

  • TÜV Rheinland Indonesia, reserves the right to postpone and cancel public courses.
  • Unless cancelled by TÜV Rheinland Indonesia, training fees are non-refundable.
  • Participants with late cancellation (five days prior the training schedule) will not be refunded. Full amount of the training fee will be charged and invoiced.
  • Transferability: If you are unable to attend, a substitute delegate may attend in your behalf. Please provide the name and title of the substitute delegate

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