Data Analyst
Data Analyst Associate

Number on packages
Course price
1.575 EUR

Microsoft Certified: Data Analyst Associate

Why career as Data Analyst?

The ability to analyze data properly, communicate data analysis results, and make an impact with data is a critical skill today.
By learning the fundamentals of data analysis, including visualization, descriptive and inferential statistics, and using logic for querying data sets, you will be ready to take on any data set. At the end of the Microsoft Professional Program in Data Analysis, you will know how to tell great data stories, analyze data in the context of different organizations and industries, and deliver data analysis in context of employment in its many forms.

Microsoft official courses in the program

DP-080: Querying Data with Microsoft Transact-SQL
500 EUR
N/A Analyzing Data with Excel and Essential Statistics
500 EUR
PL-300 PL-300: Microsoft Power BI Data Analyst
575 EUR

Final project
1.575 EUR
Price with 15% Discount
1.339 EUR


This program consists of 4 courses and the final project:

  • DP-080: Querying Data with Microsoft Transact-SQL – 24 classes: This instructor-led course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. Specifically, this course presents TSQL within the context of data analysis – in other words, making meaning from the data rather than transaction-oriented data-tier application development.
  • Analyzing Data with Excel and Essential Statistics – 32 classes: This course will introduce you to basic statistics and data analysis. The course starts with basic technics for data analysis such as data aggregation and summarization, data visualization, and continues with the definition of correlation, mean, median, variance, standard deviation, hypothesis testing and it ends with methods used in predictive models regression, classification and clustering.
  • PL-300: Microsoft Power BI Data Analyst – 32 classes: The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.
  • Final project: Students will receive the dataset, and they are going to analyze the data and present their work.

In this, 3-month program you will learn:

  • How to write TSQL queries for the purpose of database reporting, analysis, and business intelligence
  • You will add BI techniques to Excel data analysis
  • Essential Statistics for Data Analysis using Excel
  • How to analyses data by using Power BI – the leading tool in Data Analysis field

Contact person

Irena Ivanovska
Head of Microsoft Official Training Department
+389 70 246 146

Contact person for 

Marko Serafimovski
Head of International Business Development

Who should attend the program?

This program is intended for professions in IT, sales, marketing, finance, statistics and all those who need to analyze data, including beginners who would like to pursue a career in Data Analysis.

Be part of this program due to the following facts:

Career Building

High-level, challenging program to build a comprehensive skill set to get the job you want.

International Experts in Data Analysis

Learn from the industry experts and Microsoft Certified Trainers with more than 18 years IT practical experience who have trained more than 200 Data Analysts worldwide. The trainer is one of the first certified Microsoft Data Scientists in the world.

The future of IT training (hybrid training model: onsite + online)

New hybrid training model will be implemented in this program for the first time and includes onsite instructor led training supported by online Microsoft platform.

Hands-on Labs

Besides theoretical part, each course includes hand-on labs where you can achieve practical skills in Data Analytics field.

Microsoft Valuable Certificate

After you finish the program, you will have an opportunity to take official exams and earn Microsoft official certificate - Microsoft Certified: Data Analyst Associate. If you decide to take the exams you can share it the on your resume, portfolio, and LinkedIn page.