This course includes hand on approach using real world datasets, to test different models and visualize the outputs with different machine learning models which can later be directly applied by the participants to the job.?
This course is designed to expose the participants with the concept of machine learning models for predictive analytics (theory + case study). This course includes hand on approach using real world datasets, to test different models and visualize the outputs with different machine learning models which can later be directly applied by the participants to the job.?
Objectives:
Upon completion of this course, participants will be able to:
The Centre for Advanced and Professional Education or CAPE UTP was established in May 2016 to provide flexible post-bachelor degree opportunities by developing sustainable programmes and modules of professional short courses.
CAPE aims to be the sought after partner to the industry by providing a platform for flexible learning to diverse learners and access to the Universiti Teknologi PETRONAS’s intellectual resources.
Gain a comprehensive understanding of Power BI and how to use it to create and share interactive data visualizations and dashboards along with advanced features and techniques, such as data profiling, fuzzy matching, and Python scripting.
This program develops hands-on skills in big data analytics highlighting its importance for the telecommunications industry and how the outputs of analysis can be used to give competitive advantage.
Analysing Data with Power BI 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.
Power BI (Analysing and Visualizing Data) training is offered by AC Interactive Solutions Sdn Bhd (ACIS). Our passionate team of expert trainers is qualified and highly experienced in countless training fields.
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.
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