- United Arab Emirates
- Saudi Arabia
- Qatar
- Oman
- Kuwait
- Bahrain
- Pakistan
- Egypt
- Libya
- Afghanistan
- Sudan
- Cyprus
- Fiji
- Ethiopia
- Ghana
- Kenya
- Nigeria
- Mauritius
- South Africa
- Zambia
- Zimbabwe
- Mozambique
- Uganda
- Tanzania
- Angola
- And Growing up
Narrated ‘Ali bin Abi Talib (RA): The Prophet (RA) stood up for a funeral (to show respect) and thereafter he sat down. (Dawud)
Microsoft Power BI Data Analyst PL-300T00 course is made with the diverse methods and most promising practices in line with technical and business requirements for analyzing, modeling, and visualizing data with Microsoft Power BI. This 3 days course will help you understand how to process and access data from data sources such as relational and non-relational data. Understanding how to implement policies and security standards across the Microsoft Power BI range, including groups and datasets. You will learn to deploy and manage dashboards and reports for content distribution and sharing and create paginated reports within the Microsoft Power BI service and publicize them to a workspace for inclusion within Microsoft Power BI. This course comes with a knowledge of core concepts of data, relational data working in the cloud, non-relational data working in the cloud, and an Understanding of visualization and analysis concepts. Microsoft Power BI Data Analyst certification will be given by the end of the course.
Module 1: Get Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
Lessons
After completing this module, students will be able to:
Module 2: Getting Data in Power BI
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.
Lessons
Lab : Preparing Data in Power BI Desktop
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After completing this module, students will be able to:
Module 3: Cleaning, Transforming, and Loading Data in Power BI
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
Lessons
Lab : Loading Data in Power BI Desktop
After completing this module, students will be able to:
Module 4: Design a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
Lessons
Lab : Data Modeling in Power BI Desktop
After completing this module, students will be able to:
Module 5: Create Model Calculations using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
Lessons
Lab : Introduction to DAX in Power BI Desktop
Lab : Advanced DAX in Power BI Desktop
After completing this module, students will be able to:
Module 6: Optimize Model Performance in Power BI
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.
Lessons
After completing this module, students will be able to:
Module 7: Create Reports in Power BI
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.
Lessons
Lab : Enhancing reports with interaction and formatting in Power BI Desktop
After completing this module, students will be able to:
Module 8: Create Dashboards in Power BI
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.
Lessons
Lab : Creating a Dashboard in Power BI Service
After completing this module, students will be able to:
Module 9: Identify Patterns and Trends in Power BI
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.
Lessons
Lab : Data Analysis in Power BI Desktop
After completing this module, students will be able to:
Module 10: Create and Manage Workspaces in Power BI
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.
Lessons
After completing this module, students will be able to:
Module 11: Manage Files and Datasets in Power BI
This module will introduce you to parameters and datasets. You will also learn how to manage datasets and parameters, build dynamic reports with parameters, and set dataset refresh options.
Lessons
After completing this module, students will be able to:
Module 12: Row-level Security in Power BI
This module will introduce you to row-level security, both static and dynamic methods, and how to implement.
Lessons
Lab : Enforce Row-Level Security
After completing this module, students will be able to:
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Audience Profile
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Q: Is Power BI functional for data analysts?
A: Microsoft's business analytics product, Power BI, delivers interactive data visualization BI capabilities that allow users to see and share data and understandings throughout their organization.
Q: What are the top 3 skills for a data analyst?
A: Some of the top technical and soft skills required to become a data analyst:
Q: What SQL is used in data analysis?
A: SQL is the standard programming language used to communicate with Relational databases. In Data Analysis is designed to facilitate the retrieval of specific information through simple queries from a database.
Q: Coding is required for data analytics?
A: No, Data Analysts are not expected to code as part of their daily duties. simple data analysis functions such as analyzing Google Analytics data trends do not require writing code.
Live, Online Training by top Instructors and practitioners across the globe.
Conduct training at the work location you desired.
The Venue will be ideally located and easy to access with covid-19 SOP's.
Travel to any desired location for your training.