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WSQ-MS Microsoft Power BI Data Analyst (PL-300)

Name: WSQ-MS Microsoft Power BI Data Analyst (PL-300)
Price: 750.00 SGD
Rating: 4.4 (66 reviews)

Training Provider: TRAINOCATE (S) PTE. LTD.

Course Reference: TGS-2023037447

S$750

Original: S$1,500

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About This Course

LO1 – Apply predictive data modelling techniques to identify patterns across multiple datasets using Power BI.
LO2 - Develop prototype algorithms in Power BI and make informed decisions to further analyse meaningful patterns.
LO3 – Create interactive visualisations using visual analysis and and pattern interpretation.
LO4 - Use Power BI tools and tecchniques to develop data visualisation.
LO5 – Assemble data aggregation and machine learning techniques to gain new insights into data.
LO6 – Apply data mining to assess business in-sights

What You'll Learn

Microsoft Power BI is a powerful business intelligence tool that allows data analysts to gather, analyze, and visualize data from various sources. Power BI helps collect and organise data and create reports and visualizations that accurately represent the data. Power BI provides users with interactive dashboards, reports, and data visualizations, making it easy to understand complex data and gain insights into business performance. Additionally, you would need to be comfortable working with various data sources, including structured and unstructured data, and be proficient in data modelling, cleansing, and transformation. With these skills, you could provide valuable insights to businesses and help drive data-driven decision-making.

Furthermore, Power BI is highly customizable, allowing users to create reports and dashboards that meet their needs. Additionally, Power BI is highly scalable, meaning small and large enterprises can use it. Power BI is a valuable tool for anyone who needs to analyze and visualize data, create reports, or monitor performance metrics.

This course proposal will be part of the solution for this effort to help the organizations to upskill their staff. This course targets data analysts and data scientists, sales and marketing teams, financial analysts, IT professionals and more.

Entry Requirements

- Understanding core data concepts.
- Knowledge of working with relational data in the cloud.
- Knowledge of working with non-relational data in the cloud.
- Knowledge of data analysis and visualization concepts.