The Microsoft Certified: Power BI Data Analyst Associate certification is a certification that validates your skills in using Power BI to analyze data. The certification exam covers a wide range of topics, including data modeling, data visualization, and data storytelling.
The certification is a valuable credential for data analysts who use Power BI. The certification can help you advance your career, get a raise, or land a new job. If you are serious about your career in data analytics, it is highly recommend getting certified.
Skill Level : The course is designed for data analysts who use Power BI to analyze data. This includes people who are new to Power BI, as well as experienced professionals who want to validate their skills.
Duration : The amount of time it takes to prepare for the Microsoft Certified: Power BI Data Analyst Associate certification exam depends on your individual learning style and experience. However, most people can prepare for the exam in 2-4 weeks.
Microsoft Certified: Power BI Data Analyst Associate
The Microsoft Certified: Azure Enterprise Data Analyst Associate certification is a certification that validates your skills in using Azure to analyze data. The certification exam covers a wide range of topics, including data ingestion, data processing, data modeling, data visualization, and data governance.
The certification is a valuable credential for data analysts who use Azure. The certification can help you advance your career, get a raise, or land a new job.
Skill Level : It is designed for data analysts who use Azure to analyze data. This includes people who are new to Azure, as well as experienced professionals who want to validate their skills.
Duration : The amount of time it takes to prepare for the Microsoft Certified: Azure Enterprise Data Analyst Associate certification exam depends on your individual learning style and experience. However, most people can prepare for the exam in 2-4 weeks.
Microsoft Certified: Azure Enterprise Data Analyst Associate
Introduction to Data Analysis Using Excel is an online course offered by Microsoft on edX. The course is designed for anyone who wants to learn how to use Excel to analyze data. The course covers a wide range of topics, including data exploration, data cleaning, data visualization, and data modeling.
The course is divided into six modules. The first module introduces the basics of data analysis in Excel. The second module covers data exploration, including how to clean and format data. The third module covers data visualization, including how to create charts and graphs. The fourth module covers data modeling, including how to create statistical models. The fifth module covers hypothesis testing, including how to test for statistical significance. The sixth module covers reporting, including how to create professional-looking reports.
Skill Level : Beginners Level
Duration : The course is self-paced and can be completed at your own pace. There are no prerequisites for the course, but it is recommended that you have some basic knowledge of Excel.
Introduction to Data Analysis using Excel
This course is a comprehensive introduction to the use of Microsoft Excel for data analysis and visualization. It covers a wide range of topics, including importing data, cleaning and formatting data, creating pivot tables and charts, and using DAX to create custom calculations. The course is taught by experienced Excel experts, and the lessons are well-organized and easy to follow.
Skill Level : Intermediate Level
Duration : The course is self-paced, so you can work at your own pace. The course also includes a certificate of completion that you can earn upon successful completion of the course.
Analyzing and Visualizing Data with Excel
We at Alphaa AI are on a mission to tell #1billion #datastories with their unique perspective. We are the community that is creating Citizen Data Scientists, who bring in data first approach to their work, core specialisation, and the organisation.With Saurabh Moody and Preksha Kaparwan you can start your journey as a citizen data scientist.