Certified Big Data Science Professional (CBDSP)

Transcription

1 Certified Big Data Science Professional (CBDSP) Training Preparation Program Quality & Organizational Excellence Division KnowLogic Professional Certifications Big Data Science Professional KnowLogic Professional Certification Arcitura CBDSP Arcitura Certification Business Bay, Al Asayel St., Sobha Ivory 1, Office 102 P.O.Box Dubai, UAE Tel: , Knowlogic All Rights Reserved

2 1 2 Contents About Knowlogic.... Our Value Benefits... Certifying Body.. Certification.... Exam Information... Steps to Get Certified.. Our Training Program Program Objective What is Included. Preparation Classes.. Training Materials. Revision Sessions.... Mind Mapping... Audience. Methodology Outline.. Our Instructors... What You Will Get. KnowLogic Professional Certification.. Important Links... Contact Details Welcome To KnowLogic Welcome to Knowlogic center for management & training a leading management training and research center that aim to deliver innovative and cutting edge management training solutions. At Knowlogic we are committed to the highest standards of quality in everything we do, we believe in providing a participative approach to training and development. Our partners at Knowlogic has over 20 years of experience working in various business sectors with an in-depth understanding of the training and development needs of organizations and individuals. It is this knowledge and experience, coupled with commitment to providing value in everything we do that drives our ambitions to succeed. Certified Big Data Professional CBDP

3 3 4 Our Certified Big Data Professional CBDP Value Benefits Our Value Benefits Extended learning hrs. Tutoring /Revision / Mentoring & Advice Certified & highly experienced Instructors (our strength) Knowlogic Professional Certification Payment Options / Installments Free Mind Mapping Course Repeat Program for Free if didn t pass* Free Revision sessions / Access to Training Materials Max 15 candidates per class Exquisite Venue Arrangements * must attend all sessions and take the exam In addition, we provide support in exam registration process

4 5 6 Certifying Body: Arcitura Big Data Science School Certification programs from the Arcitura Big Data Science School is dedicated to excellence in the fields of Big Data science, analysis, analytics, business intelligence, and technology architecture, as well as design, development, and governance. A collection of courses establishes a set of vendor-neutral industry certifications with different areas of specialization. Because of the vendor-neutral focus of the course materials, the skills acquired by attaining certifications are applicable to any vendor or open-source platform. Source: BDSC Format Length Exam Information CBDP /Exam 1 & 2 Multiple choice questions 1 hours each exam Certification: Big Data Science Certified Professional certifications are formal accreditations that prove proficiency in specific areas of Big Data. A Certified Big Data Professional has mastered the fundamental topic areas pertaining to Big Data and has met minimum BDSCP qualifications by demonstrating proficiency in at least one additional area. To achieve this certification, the following exams must be completed with a passing grade: Exam B0.01: Fundamental Big Data Exam B0.02: Big Data Analysis & Technology Concepts Exam B0.03: Big Data Analysis & Technology Lab The Certified Big Data Professional designation can be used as a standalone accreditation to verify competency in fundamental skills and one or more chosen skill-sets. This certification can also be used as an interim accreditation for Business & IT professionals pursuing one or more specialized certification tracks. Source: BDSC Window / Location Any time through Prometric Topics / Exam Structure Fundamental Big Data Big Data Analysis & Technology Concepts Format Length Window / Location CBDP /Exam 3 Multiple choice questions 2 hours Any time through Prometric Topics / Exam Structure Fact Market salary studies shows that big data professional average salary is $110,000 35% more than their Business and IT counterparts; big data scientists average salaries are 45% higher than their counterparts in the same management level. Big Data Analysis & Technology Lab

5 7 8 Steps to Get Certified Step 1 Step 2 Step 3 Step 4 Step 5 Step 6 Assess Eligibility Enroll in our Program Register for Exam Prepare for Exam Take Exam Get Certified There are no prerequisites or eligibility requirements to take the exams associated with this Certification Start Your Big Data journey by enrolling in our exciting training programs. Our programs are delivered by certified, highly experienced Instructors who have been in the business for long time. Program is packed with all materials needed to understand remember and pass the exams. Details of our CBDP preparation program is available on page 6-8, here are some of our training program benefits: Extended learning Hrs. tutoring, advice and mentoring Coverage of Knowledge areas with practical examples Access to learning Material Past exams, Audio Mind mapping course Registration for the exams is done through Prometric and as follows: Visit: ric.com/menu.asp?cookie_t est=1 Locate a Test Center Search for seat availability Schedule an exam date & time Pay exam fees Two short exams are required for this Certification: Exam B0.01: Fundamental Big Data Exam B0.02: Big Data Analysis & Technology Concepts Exam B0.03: Big Data Analysis & Technology Lab Attending all sessions of our certified big data professional preparation program and complying with all Instructor notes and recommendation is your first step. However, you should also dedicate time for study and review We will help you all the way and provide you with materials and references, past exams tips so on In addition, we will give you a complementary access to our mind mapping course, this will help you structure your thoughts and improve your memory Set for the exams on the selected date and time Once you pass all three exams you will be awarded with Certified Big Data Science Professional certification from Arcitura (Big Data Science School) as well as a certificate from Knowlogic Center for Management & Training.

6 10 Objective: This course module presents participants with a series of exercises and problems designed to test their ability to apply knowledge of topics covered previously in course modules 1 and 2. Completing this lab will help highlight areas that require further attention, and will further prove hands-on proficiency in Big Data analysis and technology and practices as they are applied and combined to solve real-world problems. As a hands-on lab, this course provides a set of detailed exercises that require participants to solve a number of inter-related problems, with the goal of fostering a comprehensive understanding of how Big Data environments work from both front and back-ends, and how they are used to solve real-world analysis and analytics problems. Key characteristics of big data The structures that can be found in unstructured data Value opportunities for big data Understanding customer behaviour. Register Our Training Program Include: Preparation Classes Training Materials Revision Sessions Mind Mapping Audience: Performance improvement and strategy specialists, Business and data analysts; BI project managers; BI and data warehouse architects, designers, and developers; data governance and data quality professionals; and anyone seeking to cut through the hype to understand the opportunities, challenges, and realities of the big data phenomenon A series of lectures made up of over 48 hours of classroom learning using various methodologies to give customized learning experience. Program is packed with text materials, past exams, books, references etc. Our classes are: Led by best in the industry instructors Aligned with BDSC body of knowledge Include working on actual case studies Coaching Practice Past Exams Prepare you for exam Revision Sessions Our Program Material Include: Hand-outs Reference List Past Exams Slides Exam Hints Other materials Supporting revision sessions are conducted at the conclusion of each module and at the end of preparation classes to reemphasize on critical issues and topic and to give hints on possible exam questions, also during the revision sessions the instructors will monitor the progress of delegates, evaluate their performance and give recommendations accordingly. Revision Sessions include: Emphasizing on main topic and critical areas. Working on actual case studies and answering assignments Coaching Practice Past Exams Tips for Exams Mock assessment You don t have to worry anymore about remembering what you have learned. This course will ensure all what you have learned will be remembered and utilized to the full potential during the exam. You will learn: The laws of memory and behaviour that underpin the Mind Mapping process. Mastering these powerful principles will not only improve how you learn, but ensure all of your communications are more memorable and meaningful. Methodology Training methodology combines short, focused presentations, followed by experiential learning workshop sessions. Engaging attendees with real-life examples and topic. Delegates will also be given quizzes at the end of each knowledge area to solidify their knowledge, as well as additional practice questions to take home and prepare for the exam.

7 Strength Program Outline Our Instructors Exam One - Module 1 Fundamental Big Data Understanding Big Data Fundamental Terminology & Concepts Big Data Business & Technology Drivers Traditional Enterprise Technologies Related to Big Data Characteristics of Data in Big Data Environments Dataset Types in Big Data Environments Fundamental Analysis and Analytics Machine Learning Types Business Intelligence & Big Data Data Visualization & Big Data Big Data Adoption & Planning Considerations Exam Two - Module 2 Big Data Analysis & Technology Concepts Big Data Analysis Lifecycle (from business case evaluation to data analysis and visualization) A/B Testing, Correlation Regression, Heat Maps Time Series Analysis Network Analysis Spatial Data Analysis Classification, Clustering Outlier Detection Filtering (including collaborative filtering & content-based filtering) Natural Language Processing Sentiment Analysis, Text Analytics File Systems & Distributed File Systems Distributed & Parallel Data Processing, Processing Workloads, Clusters Cloud Computing & Big Data Foundational Big Data Exam Three - Module 3 Big Data Analysis & Technology Lab This course module presents participants with a series of exercises and problems designed to test their ability to apply knowledge of topics covered previously in course modules 1 and 2. Completing this lab will help highlight areas that require further attention, and will further prove handson proficiency in Big Data analysis and technology and practices as they are applied and combined to solve realworld problems. As a hands-on lab, this course provides a set of detailed exercises that require participants to solve a number of interrelated problems, with the goal of fostering a comprehensive understanding of how Big Data environments work from both front and back-ends, and how they are used to solve real-world analysis and analytics problems. For instructor-led delivery of this lab course, the Certified Trainer works closely with participants to ensure that all exercises are carried out completely and accurately. Attendees can voluntarily have exercises reviewed and graded as part of the class completion. Our Instructors at KnowLogic are our strength. We have a fantastic team of instructors, all of whom are not only certified in the subject matter but also have an extensive industry experience with a great tracking record of achievements and exam success rate. They know exactly exam requirements and how to cover it. We focuses not only on getting you through the exam, but also to give you knowledge and experience necessary to practice what has been taught in your workplace. Minimum requirements for our instructor: Certification: All our Instructors are certified by the certifying body of the exam. Industry expert: Instructors has to be very knowledgeable about the topic they are teaching with professional certificate from a well-recognized certifying body s Experience: the instructor has to be experienced in the field. As a minimum requirements all instructors has to have at least 10 years experience. Educational level: all Instructors has to be university graduates with preferences for those with PhD s and Professional Doctorates. Personality: Our instructors are friendly, supportive, respectful, and culturally sensitive, a personality interview is conducted for each instructor to assure suitability to accommodate training session

8 Important Links What you will get? By attending our training program you will be prepared to set for Arcitura examination, pass the exam and be awarded with Arcitura Certification. If you are convinced with Our Program Register CBDSP Arcitura Certification Attend our training program and complete the Assignment or Project and you will be awarded with KnowLogic Professional Certification Big Data Science Analyst approved and attested by KHDA Still have an enquiry!! Enquire Big Data Science Analyst Professional CBDSP KnowLogic Professional Certification KnowLogic Professional Certification Check Other Related Programs Related Programs Attend Our Training Program Complete Assignment / Project Get Certified Review Our Public Training Programs Public Programs

9 Contact Information Business Bay, Al Asayel St. Sobha Ivory 1, Office 102 P.O.Box Dubai, UAE Tel: Mobile: Info@knowlogic.center