There is great demand for professionals who can turn data analysis into competitive advantage for their organizations. This learning path will train you to use development frameworks such as Hadoop, Spark & R to process huge amounts of data and thrive in your big data career.
DurationThere is great demand for professionals who can turn data analysis into competitive advantage for their organizations. This learning path will train you to use development frameworks such as Hadoop, Spark & R to process huge amounts of data and thrive in your big data career.
The field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment.
GKK Consultants Sdn Bhd is the irrefutable leader of professional training & certifications across the ASEAN region. Established in 2011, GKK has embedded our roots across hundreds of companies, including Fortune 500 companies, government departments and agencies, government linked corporations as well as many of the Top 100 companies on Bursa Malaysia.
If you want to stay ahead of the curve in the world of big data, you need to be constantly learning and evolving your strategy. The best way to do this is by taking advanced courses that will teach you the latest techniques and best practices.
Machine Learning is revolutionizing the world by allowing computers to learn as they progress forward with large data sets, overwriting overcoming all programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve.
This hands-on course is focused on real-world techniques utilising the amazing capabilities of Power BI. The course covers the core elements needed to get an understanding of what Power BI can do.
Analysing Data with Microsoft Power BI training is offered by Progress Link Training & Consultancy Sdn Bhd. Our approach to training and development is rooted in systematic methodology.
As a subset of artificial intelligence (AI), machine learning (ML) is a field of computer science that focuses on the analysis and interpretation of patterns and structures in data to achieve learning, reasoning and decision making outside of human interaction.
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