If you’re a data analyst or business user who uses Power BI to help your organization maximize the value of its data assets, you might consider earning this Microsoft Certified: Power BI Data Analyst Associate certification.
DurationIf you’re a data analyst or business user who uses Power BI to help your organization maximize the value of its data assets, you might consider earning this Microsoft Certified: Power BI Data Analyst Associate certification.
In this role, your responsibilities include designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-understand data visualizations.
You’re a subject matter expert who collaborates with key stakeholders across verticals to deliver relevant insights based on business requirements, and you should have a fundamental understanding of data repositories and data processing, both on-premises and in the cloud.
Validate your expertise and showcase your data insights. The Power BI Data Analyst Associate certification can validate that you have what it takes to stand out and help to differentiate your organization in this high-demand field.
This PL-300T00: Microsoft Power BI Data Analyst 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, including both relational and non-relational data. This Power BI course will also explore how to implement proper security standards and policies across the Power BI spectrum, including datasets and groups.
The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this Power BI training will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
Skills Covered:
Worldwide Leader in Technology, Business and People Training. From Asia To The World. Trainocate Malaysia is the new and exciting development of the 25-year old establishment – Global Knowledge.
The name Trainocate is inspired from the term “Training Advocate” which resonates the feeling of continuous learning, something that each member of the Trainocate team carries with them.
We are in the business of empowering work forces in the Asia-Pacific region by maximising their capabilities through knowledge acquirement. This not only helps with improving work performance but also, explores untapped potential within each individual.
We deliver training programs and certifications that fall in the area of Technology, Business and People Skills. 25 years of experience in this industry equates to 25 years of bettering ourselves to ensure we deliver only the best training programs to our loyal clients both in the area of Technology as well as People Skills.
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.
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.
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.
With the proliferation of data analytics initiatives by various governments, businesses and social media platforms, it becomes paramount to understand the fundamentals of Big Data Analytics and its applications to the banking sector.
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