Scrum Master Professional Certificate (SMPC)
Scrum Master Professional Certificate SMPC® Program to validate your knowledge about Scrum. Our examination is a multiple-choice online test and you can take it from your PC, anywhere around the world. After the completion of the Scrum Master Professional Certificate exam, you can expect to gain a general overview and understanding of Scrum theory, practices, and rules. We recommend you to continue your Scrum professional education with the Product Owner Professional Certificate SPOPCTM, followed by the Developer Professional Certificate SDPCTM.
Design Thinking Professional Certificate (DTPC)
Design Thinking Professional Certificate, provides a detailed understanding of key concepts and definitions to improve your interaction with the user experience. CertiProf® covers five key phases to be a Design Thinker: empathize, define, ideate, prototype and evaluate, which helps organizations to create useful proposals that adapt to the real needs of people; allowing them to expand the service portfolio, consolidate brand and improve results.
Digital Marketing Professional Certificate (DMPC)
Digital Marketing Professional Certificate DMPCTM Program provides a detailed understanding about Digital Marketing concepts, strategies and implementation, including email and Search Engine Optimization (SEO) campaigns, Pay-per-click (PPC) campaigns, social marketing, retargeting and integrating digital marketing with traditional marketing.
Course Type: Fundamentals
Certification Code: DMPCTM
Key Outcomes:
Design Sprint Certification (CPDSC)
The CertiProf Design Sprint Certification CPDSCTM endorses your knowledge, expanding your repertory and “utility belt”, so you can quickly develop innovative solutions.Design Sprint is a method originally created at Google Ventures to be completed in 5 days.
Tableau Desktop Advanced
This course covers more advanced Tableau Creator skills required for Tableau users who wish to take their skills to a higher level so that they get the most out of their data. The course starts with a section on Tableau best practices, followed
Tableau Desktop Intermediate
This course covers Tableau Creator functionality required for intermediate Tableau users. The course starts with a revision of Tableau Desktop and moves to a more in-depth look at sets, quick table calculations, multiple visualisations, reference lines, bands and distributions, parameters, motion chart, trends and forecasting, formatting, stories, performance recording and advanced mapping. The workshops provide the opportunity to visually analyse data, and use these intermediate skills and techniques to enhance your Tableau experience.
Tableau Desktop Fundamental
This course covers Tableau Creator functionality required for new Tableau users. It starts with simple visualisations and moves to an in-depth look at the different chart and graph functions, calculations, mapping and other functionality. The lessons are organised into modules that provide conceptual information, how-to steps and tutorials on each subject. The workshops provide the opportunity to visually analyse data, build Interactive dashboards and share them with others.
Big Data Architecture Lab
This course module covers a series of exercises and problems designed to test the participant’s ability to apply knowledge of topics covered previously in course modules 10 and 11. Completing this lab will help highlight areas that require further attention, and will further prove hands-on proficiency in Big Data architecture practices as they are applied and combined to solve real-world problems.
Advanced Big Data Architecture
This course builds upon Module 10 by exploring advanced topics pertaining to Big Data solution platform architecture. In particular, different architectural layers that make up the Big Data solution platform are introduced and discussed, including those pertaining to storage, processing and security. Also covered are a number of design patterns and compound patterns generally employed when building enterprise Big Data solutions.
Key Outcomes
Students will be able to know:
Fundamental Big Data Architecture
This course provides an overview of essential topic areas pertaining to Big Data solution platform architecture, covering a range of architectural models, approaches and considerations. Big Data mechanisms are explained for the creation of Big Data solutions, as well as architectural options for assembling data processing platforms.