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.
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.
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.
Analyzing Data with Microsoft Power BI training is offered by NexTrain. NexTrain Consultancy Sdn. Bhd. was established with the prime objective to train and upgrade the technical and management skills of the Malaysian workforce in manufacturing industries and commercial sectors.
Enterprise Big Data Professional Certification course is offered by Centrilinc. User application software training has been one of our core business focus. Our application courses were developed, and are consistently updated to meet the current, and practical need of the local workforce.
In the upcoming digital era, Python stands out as the language of the future for effective AI and data analytics implementation, particularly in the Oil and Gas sector.
This 2-Day instructor-led course provides individuals with the knowledge and skills to analyse data with Power BI.
Machine learning has been around for decades, but its usage was limited to specialized applications such as Optical Character Recognition (OCR) due to constraints in computing resources.
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