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.
The Big Data Foundation Certification is essential for everyone working with Big Data. This certification provides an understanding of Big Data, potential data sources that can be used to solve real world problems, and an overview of data mining and its capabilities.
Transform, analyse and visualise data with Microsoft Power BI Desktop: hands-on demos, projects and 1-on-1 Power BI support. By the end of the Adventure Works project, not only will you have developed an entire business intelligence (BI) tool from the ground up using Power BI.
In this course, we help you get started with this powerful toolset. It begins by covering the web-based Power BI service, explaining how to import data, create visualizations, and arrange those visualizations into reports.
Big Data Analytics course is offered by ARGI Management Consultants Sdn. Bhd. We customize course outlines for clients based on their training program requirements & needs.
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.
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