Microsoft Data Science Institute

Number of Classes
Course price
2210 EUR

The place to become Data Scientist

7 Data Science Skills

1.5 Million Jobs

Opportunities for data scientists—one of today's hottest jobs—are rapidly growing in response to the exponential amounts of data being captured and analyzed. Companies hire data scientists to find insights and to solve meaningful business problems.

Microsoft consulted data scientists and the companies that employ them to identify the core skills they need to be successful. Semos Education as Microsoft Gold Partner created this unique curriculum used to teach key functional and technical skills, so you can become Data Scientist.

Why Data Scientist?

Data Scientist profession has been ranked # 1 in the IT industry for the third consecutive year, according to LinkedIn research.

Since huge amount of data is becoming available, large companies are no longer main employers in need of Data Scientists. The growing demand for data scientists, both in large and small industries, faces a lack of skilled personnel who can fill open positions.

7 Skills you will gain in order to become Data Scientist

  • Query Relational Data
  • Apply Statistics to Data Science
  • Analyze and Visualize Data
  • Explore Data with code
  • Machine Learning algorithms
  • Build Machine Learning Models
  • Final Project

Technologies you will use to gain your skills

T-SQL | Microsoft Excel | Power BI | Python | Azure Machine Learning Studio | Machine Learning Algorithms

Microsoft Data Science Curriculum

DP-080: Querying Data with Microsoft Transact-SQL
N/A Analyzing Data with Excel and Essential Statistics


PL-300: Microsoft Power BI Data Analyst

Programming in Python for Data Science
  DP-900: Microsoft Azure Data Fundamentals &
No Code Data Science with Azure Machine Learning Designer
DP-100 DP-100: Designing and Implementing a Data Science solution on Azure 32
  Final project 30
2 Free Microsoft Official PL-300 and DP-100 Exams
  Price 2.600 EUR
  Price with 15% Discount 2.210 EUR

This program consists of the following courses

  • DP-080: Querying Data with Microsoft Transact-SQL – 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 - 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 - 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.
  • Programming in Python for Data Science - This course will introduce you to Python – the language that is a standard in the Data science. At the very beginning you will learn the syntax end the elements of the programming language – Python. After that, you will continue with how you can prepare and clean the data to get useful dataset, and at the end you will learn to create predictive models in Python.
  • DP-900: Microsoft Azure Data Fundamentals & No Code Data Science with Azure Machine Learning Designer In this part of the training you will get acquainted with Microsoft Machine Learning Studio, and you will learn how to use it to make a Machine Learning model. You will learn how to make a dataset in Azure Machine Learning Studio, prepare the data, apply one of the Machine Learning models that you have available, train and deploy the model.
  • DP-100: Designing and Implementing a Data Science solution on Azure - The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline.

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?

All those who want to professionally work with Data Science and to improve their skills in this field in order to gain greater career opportunities as well as employment or higher incomes.

This unique Data Science Institute Program will give you:

International Career Building

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

International Experts

Learn from the industry experts and Microsoft Certified Trainers with more than 18 years IT practical experience who have trained more than 80 Data Scientists worldwide. The trainers are one of the first certified Microsoft Data Scientists in the world.

Hands-on Labs

Besides theoretical part, each course includes hand-on labs where you can achieve practical skills in Data Science field. At the end of the training, you will independently prepare a real project, in which you will apply all the knowledge and skills that you acquire during the training and present the result of your work.

International Certificate

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


After completing this unique and tailor-made Data Science program, you will have all the necessary knowledge and skills to start a career as a Data Scientist by using the most sought-after programming language Python and the most widely used Cloud Service that supports the whole process in practicing Data Science - Microsoft Azure.


  • Payment in cash with payment slip or debit cards
  • Payment in installments with credit cards
  • Payment in installments without interest with credit cards of Stopanska Banka
  • Payment by invoice