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.