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Data Science

Vendor-Neutral Certifications

"A business and design approach that seeks to ensure broad compatibility and interchangeability of products and technologies. The model encompasses non-proprietary design principles and unbiased business practices."
Margaret Rouse from TechTarget, NASDAQ listed Technology Media Company


Vendor-neutral certifications, therefore, validate the candidate’s unbiased knowledge of technology principles. They also ensure that the candidate has a good grasp of using different types of equipment or software interchangeably to satisfy an employer’s needs.

Certified Data Science Specialist (5-days)

This course provides the basic knowledge and techniques to get you started with your journey to become a data scientist. The course will cover the different types of data according to their nature, and different data formats. It will also cover the basics set of tools that enables you to collect data, understand key features in a dataset, and the techniques for collecting, cleaning, and sharing data. The course also provides case studies to elaborate how companies of different type adopt data science and grow their business. There will also be lab-based exercises for participants to experiment how to gain insights using real world datasets.

Certified Data Science Expert (3-days)

This course brings you to next level after becoming a data science specialist. You will learn techniques on data exploration and machine learning, and also the data science workflow by practicing how to explore and visualize data using open source tools. You will also explore the differences between supervised and unsupervised learning techniques and practice building predictive models.



Certified Data Scientist (3-days)

This course prepares you to begin a data scientist career. You will learn how to architect a data science project, managing the data using Hadoop. You will learn how to work independently as a data scientist, from forming hypothesis, to validate the model. In addition, you will also learn how to handle unstructured text, coupling with techniques to analyze and extract meaning from extremely large data sets. Upon complete, you are equipped with the abilities to apply data science in fields such as marketing, business intelligence, scientific research and more.

In order to obtain the certificate, You will need to deliver a data science project that incorporates the knowledge, skills and tools learn in the previous modules.



Certified Data Science Specialist

Introduction to Data Science, Big Data, Toolkit, understanding the big data landscape. Learn via case studies. Learn the nature of data, database technologies, basics of data related techniques, including data gathering, ETL processes, and data cleansing.


Exam

Format: Multiple Choice Questions
Duration: 2 hours
Total Questions: 50
Passing Score: 70%


Certified Data Science Expert

Learn the advanced techniques in data science, from the workflow, data mining, to constructing machine learning models using supervised and unsupervised methods.


Exam

Format: Multiple Choice Questions
Duration: 2 hours
Total Questions: 50
Passing Score: 70%



Certified Data Scientist

Prepare you to be ready to pursue data scientist as a career. You will learn big data warehousing, managing data, construct and evaluate models and build a project using suitable data tools and models.


Exam

Format: Multiple Choice Questions (50%), Final Project (50%)
Duration: 2 hours
Total Questions: 50
Passing Score: 70% for both, i.e. participants have to pass both MCQ exam and project in order to pass the module.

Some of the companies who has attended iTrain Asia’s Certified Data Science Specialist (CDSS) training and certification:

Financial Service Industry

Retail

Information Technology

Oil and Gas

Plantation

Education

Manufacturing

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