Earning the Azure Solutions Architect Expert certification demonstrates skills and knowledge to advise stakeholders and translate business requirements into secure, scalable, and reliable solutions. Candidates have advanced experience and knowledge across IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance–this role should manage how decisions in each area affect an overall solution.
Earning the Azure Data Engineer Associate certification validates the skills and knowledge to design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs.
A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
Course dedicated on market disruption by Fintech and Blockchain applications. I'm part of a team of 6 other like minded professionals around the globe as we incrementally work as a group towards building our own Fintech startup enterprise.
Armed with exceptional Oxford material and videos from some of the world's leading Fintech CEO as well as pioneers from academia and international incumbent banks, this is truly a unique course for any professional to gain insights on how Fintech & Blockchain.
Recognized in every major market, the FRM is the leading certification for risk managers. It is consistently in demand by nearly every major bank and firm in the world, and is awarded only to professionals who demonstrate the knowledge and ability to anticipate, respond, and adapt to critical risk issues.
This specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This teaches how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends With a course on building recommendation systems.
This five-course accelerated specialization is designed for data professionals Who are responsible for designing, building, analyzing, and optimizing big data solutions. Through a combination of video lectures, quizzes, and hands-on labs, learners carried out serverless
data analysis and productionize machine learning models. This specialization is designed to give learners a robust hands-on experience.
The Data Science Specialization covers the concepts and tools for an entire data science pipeline. Successful participants learn how to use
the tools of the trade, think analytically about complex problems, manage large data sets, deploy statistical principles, create visualizations, build and evaluate machine learning algorithms, publish
reproducible analyses, and develop data products.
Data Science tool kit
R
R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing
Python is an interpreted high-level programming language for general-purpose programming.
Big data is data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them.
Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events.
Power BI is a suite of business analytics tools that deliver insights throughout your organization.
Tableau helps people transform data into actionable insights. Explore with limitless visual analytics. Build dashboards and perform ad hoc analyses in just a few clicks. Share your work with anyone and make an impact on your business.
Open source repositories incl. my blog and this website
Private repositories incl. project based
Github files including .R .Rmd .sh. html .py .yaml .json