Data Analysis 2023 - Build Ecommerce Dashboards in Power BI

Create many analytical dashboards, learn advanced concepts, deploy and manage analytical solutions, master Power Desktop


What you'll learn
Learn about the 6 processes in data analysis to create analytical solutions
Master advanced concepts in Power BI
Create analytical solutions from start to finish using Power BI
Create portfolio of projects that recruiters love to see
Learn how to create design layouts in Microsoft Powerpoint
Create e-commerce dashboards with 360 degree insights using Power BI Desktop
Deploy and management Power BI dashboards on Power BI Service

Requirements
Access to a good computer and internet
Basic computer and internet browsing skills
Description
This course is packed with practical concepts and hands-on projects to give students the experience they need to succeed in their analytic careers. Taught by industry experts with years of experience in data analysis implementation. The curriculum is designed after many interviews with employers to understand their needs and requirements for the role of a data analyst in their organizations.

The course starts from fundamentals to advanced concepts so learners of any level of experience can join. The course also takes you from zero to hero in data analysis. Throughout this course, you will be doing projects from the first modules to the final module. You will learn by doing projects so you will finish the course with a portfolio of projects to show to recruiters.

This course will expose learners to the practical concepts of data and analytics. In this course, students will learn about data analytics concepts such as what data is, types of data, types of analytics and tools used in data analysis. Students will learn the six core processes of data analysis and how to build and deploy analytical solutions from start to finish using the latest business intelligence tools. At the end, you will master data analysis the way it’s done in corporate organizations

Who this course is for:
Beginners and Intermediate students curious to learn practical data analysis using Power BI Desktop