Enterprise Big Data Scientist
The Enterprise Big Data Scientist (EBDS®) course provides a solid theoretical foundation of data science and provides the tools to design and develop algorithms to extract value from massive data sets.
Delivery format: Classroom, Virtual-Led & E-learning
Certification: Enterprise Big Data Scientist (APMG International)
Cybiant has exceeded my expectations in delivering this training. My instructor guided me every step of the way, and helped me prepare for the exam. Best training I have been to in a long time.
Johnathon Smith, AdeccoI completed the RPA Fundamentals training with Cybiant. Although it was a difficult training, Mike made it is almost sound easy. I am confident that I am now well prepared to pass the examination. Thank Mike!
Justin Woo, Petronas Digital- Description
- Registration
- Learning Objectives
- Target Audience
- Exam & Prerequisite
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Enterprise Big Data Scientist
The Enterprise Big Data Scientist (EBDS®) course provides a solid theoretical foundation of data science and provides the tools to design and develop algorithms to extract value from massive data sets. In this course, you will get an in-depth overview of the theory and tools required for data communication, machine learning, and modeling. With these tools, you will build up an elaborate toolkit with which you can design robust models and algorithms and will be able to develop the best-suited models to tackle diverse business problems.
The Enterprise Big Data Scientist course provides an in-depth overview of statistical modeling and modeling techniques for more complex enterprise problems. Participants will learn statistical and machine learning theory and will be provided with an additional practically-focused syllabus predominantly in Python that runs in parallel with the theory for hands-on learning. The objective of this parallel syllabus is to learn not just the best practices of modern data science but also how to harness and apply algorithms to extract valuable information from real-world situations.
Topics in this course include statistical methods, a range of machine learning methods from supervised learning to deep learning, data communication & visualization, and applied data science in the real world, and more! We encourage you to view the syllabus overview below to see what each module specifically includes.
The Enterprise Big Data Scientist course is the third level of the Big Data Framework course curriculum and certification program, that is globally accredited by APMG-International. The curriculum provides a vendor-neutral and objective understanding of Big Data technologies, algorithms and processes.
The Enterprise Big Data Scientist qualification is a practitioner course aimed at data analysts and aspiring data scientists who wish to obtain an in-depth understanding of the latest cutting-edge methods in data science. In this course, we will focus heavily on the scientific aspects so that every participant will have the knowledge and skills to design algorithmic solutions to enterprise problems. In order to become an iron-clad data scientist, mastering statistical, computational, and communication techniques in data is of crucial importance.
The course will predominantly demonstrate practical techniques in Python (with R and SQL being briefly used too). Although this certification will not test programming skills, familiarity with Python and notebooks will be necessary during this course. In the corresponding examination, the emphasis is on the correct application of the theoretical models. While this is the case, participants are still required to understand Python scripts and their respective outputs to interpret results.
This course positions learners to successfully complete the Enterprise Big Data Scientist certification exam.
Enterprise Big Data Analyst® is a registered trademark of Big Data Framework B.V. All rights reserved.
Registration
Cybiant offers the following learning options for this course:
E-Learning – 3 months access
The e-learning option provides students with access to an e-learning environment with pre-recorded lectures, exercises and quizzes. You can complete the course in your own time, at your own pace. This option provides access for 3 months, and includes the official exam.
Virtual Training – 2×2 hours per day
The virtual training option is an online class taught by a live Cybiant instructor. You will receive a meeting invitation to participate in the live lectures. Our virtual training courses are organized in 2 x 2-hour sessions per day to accommodate some other work. Official examinations are included in the pricing.
Classroom Training – full day
The classroom training option will be conducted by a Cybiant instructor in a 5-star hotel. You will participate in a live training and meet other participants. Breaks, lunch and exam voucher are included in the pricing.
You can register for the course by selecting the option of your choice below:
| Image | Name | Format | Dates | Price | Buy |
|---|---|---|---|---|---|
 | Enterprise Big Data Scientist | E-learning | 3 months access | RM4,752.00 | |
| Enterprise Big Data Scientist | Virtual | 23-27 September 2024 | RM7,152.00 |
Learning Objectives
This Enterprise Big Data Scientist course will prepare participants to:
- Understand tools for statistical modeling for large datasets.
- Understand the different ways of quantifying performance for different applications.
- Understand the fundamental underlying techniques in statistics, machine learning, distributed technologies, and business acumen.
- Apply parametric and non-parametric models to fit datasets from real-world problems and asses the quality of these models.
- .Understand the deployment of machine learning models with supervised learning, unsupervised learning, and deep learning, depending on the data and business application.
- Understand how to use binary and categorical data into linear regression problems.
- Understand how to solve classification problem using the Bayes optimal classifier, logistic regression and Linear Discriminant Analysis (LDA).
- Analyse the accuracy of different classification approaches using confusion matrices, different types of error rates, and the ROC of a classifier.
- Understand dataset manipulation techniques for statistical learning problems, including validation techniques, bootstrapping, bagging, and other dataset techniques.
- Apply bolstering techniques to individual weaker models with the goal of creating stronger ensemble models.
- Apply and understand non-linear classification techniques, including Support Vector Machines (SVM).
- Understand the potential advantages and challenges associated with neural networks, including convolutional, recurrent, and generative networks.
- Apply and understand the best-practices of data visualizations that are ideal to the nature in which the human brain perceives qualitative and quantitative data.
- Understand the process of handling big data in distributed system environments.
- Applying distributed system knowledge to determine ideal cloud systems and distributed environment architecture.
- Understand the ethical considerations and challenges behind big data, AI, and maneuvering in accordance with laws and regulations.
Target Audience
This qualification is aimed at individuals who are involved in enterprise Big Data analysis, analytics or data science, and who aspire to be become professional data scientistic. Please note that this is an advanced course, requiring significant efforts to pass the exam and obtain the qualification.
The target audience of the Enterprise Big Data Scientist qualification therefore includes the following roles:
- Data Analysts
- Business Analysts
- Business Data Analysts
- Systems Analysts
- Data Management Analysts
- Business Analytics Consultants
- Data Scientists
- Data Modelers
Exam & Prerequisite
Successfully passing (65%) the 150-minute examination, consisting of 80 complex multiple-choice questions, grants the Enterprise Big Data Scientist (EBDS) Certification. The examination and certification process is administered by APMG-International on behalf of the Enterprise Big Data Framework Alliance.
Downloads
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Unless otherwise specified, all courses include official examination
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