List of available Data Science Courses in Port Elizabeth, South Africa - Page 3. The Data Science courses in Port Elizabeth are provided by the following institutes: Also, check out all Data Science Courses from all over South Africa.
This course is designed for senior managers and executives who work in the advertising, communications, marketing, e-commerce, and technology fields. The programme is targeted at cross-functional leaders in these areas who would like to build their knowledge
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources.
The IT Specialist Artificial Intelligence course is a course that will have delegates identify the problem we are trying to solve using AI (e.g., user segmentation, improving customer service).
As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities.
All organisations – including research, teaching, profit, governmental and non-governmental organisations – use data to improve the quality of their work and service.
The Power BI Course (Business Intelligence) will introduce and guide delegates into becoming self-sufficient in the art and science of business intelligence.
The final step to Data Science is the ability to work with big data and its components. The Big Data Course with Spark dives deep into Hadoop and all its ecosystem components including MapReduce, HDFS, Yarn, HBase, Impala, Sqoop and Flume.
Upon completion of the Machine Learning course, learners will be an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming.
R Suite is the upcoming and most in demand open source technology. R is an extremely powerful data science and analytics language which has a steep learning curve and a very vibrant community.
A variety of hand-held tools are used in the workplace. Tools are such a common part of our lives that it is difficult to remember that they may pose hazards.
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