Microsoft Certified Data Scientist

Sign up without any obligation and become a Microsoft Certified Data Scientist in 8 weeks. Learn with live online training days and weekly check-ins. Develop your career skills track on top of your hard skills program and receive 2 Microsoft exam vouchers: AZ-900 and DP-100.

Starting date

16 April 2024


8 weeks
38 Hours / week


Instructor-led Course






€ 6.000*

*The price incl. VAT is € 7260

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Your career boost? Become a Microsoft Certified Data Scientist!

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Have you ever wondered how data professionals transform vast amounts of information into valuable insights? This is your opportunity to embark on the path of a Microsoft Certified Data Scientist through an intensive 8-week program.

Immerse yourself in a comprehensive journey where you’ll explore the art of cloud computing, Azure architecture, and machine learning techniques. Dive into hands-on applications like image recognition, language modeling, chatbot creation, and even knowledge mining. Learn not just how to design and implement data models, but also how to optimize them and deploy them on the Azure platform.

But we go beyond just technical knowledge. This training also includes a unique Career Skills Track that helps you hone your soft skills: from effective communication and personal branding to consultancy skills and interview techniques.

Whether you’re looking to take the next step in your career, expand your existing skills, or simply gain an edge in the data-driven future, the Microsoft Certified Data Scientist Track is your key to success.

The benefits of the Microsoft Certified Data Scientist track

  • Engaging Live Training Days: Be guided by an experienced trainer.
  • Secure Your Exam: Receive exam vouchers for the official Microsoft AZ-900 and Microsoft DP-100 exams worth € 528. Naturally, you’ll also get a possible re-sit opportunity for both exams, valued at € 330.
  • Unlock Premium Learning: Enjoy 6 months of access to a premium DataCamp account (worth € 140). Delve into Python, SQL, and other programming languages.
  • Hone Your Soft Skills: Complete our extensive career skills track for T-shaped professionals.
  • Prepare like a Pro: Make use of our practice exams in preparation for the Microsoft AZ-900 and Microsoft DP-100.
  • Start and Finish in Style: Participate in our kick-off and closing events where you’ll learn more about your next career and study steps.
  • Your Exam Blueprint: Consult our detailed guides filled with tips to optimally prepare for the exam.
  • Celebrate Your Achievement: Earn the official Techionista Data Scientist certificate upon completion. If you also pass the official Microsoft exams, you’ll score the coveted AZ-900 and DP-100 certificates.

What you will learn

You’ll kick off the Microsoft Certified Data Scientist track with an in-depth introduction to cloud solutions, specifically tailored for Microsoft Azure. Dive into everything from Cloud fundamentals to the intricacies of Azure, including compute power, networking, and storage options.
Next, we delve into the realm of Python and machine learning. Discover how to efficiently input data, prepare it, and train models using Azure Machine Learning and MLflow. Grasp the design of data science work environments, the development of advanced pipelines, and the process of readying solutions for production settings.
In the final stretch, immerse yourself in the world of AI within Azure. From AI workloads and visual tools to computer vision and Natural Language Processing, you’ll cover it all.
Professional growth goes beyond just technical expertise. That’s why you’ll also navigate a comprehensive career skills track. You’ll enhance your communication, consultancy, and job application skills, and learn how to optimize your professional profile.
Upon successful completion of the program, you’ll receive the Techionista Data Scientist certificate. If you pass the Microsoft exams, you’ll add not one, but two official Microsoft certificates to your professional portfolio: the AZ-900 and the DP-100.
Hier is eHere is an overview of the modules you will cover:

AZ-900 Microsoft Azure Fundamental

  • Cloud Concepts: Discover what cloud computing is, understand how different cloud models work, and learn about the security and pricing considerations involved.
  • Azure Architecture: Understand how Azure organizes resources. Create and manage your own resources within subscriptions and management groups.
  • Azure Services: Familiarize yourself with a range of Azure services, including compute and network services, storage services and identity, access and security management services.
  • Azure Management Principles: Learn about data management in the cloud, discover the best tools and practices for deploying your resources.

DP-100: Azure Data Scientist Associate

  • Explore the Azure Machine Learning workspace: Learn how to use a workspace, its capabilities as well as other developer tools you can use to interact with it.
  • Work with data in Azure Machine Learning: Learn how to work with data in Azure Machine Learning. 
  • Automate machine learning model selection with Azure Machine Learning: Learn how to find the best model with automated machine learning (AutoML).
  • Train models with scripts in Azure Machine Learning: Learn how to train models with scripts to prepare your machine learning workloads for production.
  • Optimize model training with pipelines in Azure Machine Learning: Learn how to optimize and automate model training by using components and pipelines.
  • Deploy and consume models with Azure Machine Learning: Learn how to deploy a model to an endpoint.

Career Skills Track

  • Career Skills Foundations: Delve into understanding your personality, enhancing your ability to communicate, and fostering collaboration in the workplace. Throughout this journey, you’ll uncover the importance of effective learning strategies, the transformative power of adopting a growth mindset, and the significance of improving collaboration and communication through the DISC framework.
  • Personal Branding: Discover how to best represent yourself, whether on your resume, LinkedIn, or during a networking opportunity. Learn how to make an impact with your elevator pitch, elevate your resume to the next level, and optimize your LinkedIn profile.
  • Consultancy Skills: Enhance your advising abilities with our three-part consultancy training. Dive into effective communication, relationship building, conflict resolution, and time management.
  • Job Preparation: Set yourself on the path to your dream job by learning how to tackle challenging interview questions and negotiate your salary and benefits. Additionally, gain confidence in presenting yourself to potential employers and master the art of negotiating to achieve the salary you truly deserve.

Additional Modules

  • Machine Learning: Design machine learning models and apply them using techniques such as regression, classification, and clustering.
  • Computer Vision: Dive into image classification, and object and facial detection in Azure.
  • Natural Language Processing: Explore language modeling and sentiment analysis, and discover how to create your own chatbot.
  • Knowledge Mining: Learn how to pull information from vast volumes of often unstructured data to create a searchable knowledge repository.
  • Responsible AI: Alongside the incredible advantages, there are downsides to AI that need to be considered. We’ll teach you how to keep this potent tool in check.
  • GitHub: Master the basics of GitHub, a popular web-based platform that lets you store, manage, and share your code with others. Perhaps the most invaluable feature of GitHub is the ability to showcase your work. By hosting your projects on GitHub, you can demonstrate your coding prowess and share your portfolio with hiring managers.
  • Python: Delve into using Python for extracting and transforming data, crafting visualizations, and within the realm of big data. Gain hands-on experience with libraries such as Pandas, Matplotlib, and Seaborn.
  • SQL: Understand how to interact with data and databases to retrieve the information needed for analysis. Learn how to manipulate, cleanse, and organize data, and merge datasets to lay the groundwork for your analysis.

How you will learn?

Online Environment

We offer instructor-led courses and online modules hosted on our LMS. You’ll also receive comprehensive guides with additional resources and other tailored learning materials.

Support and guidance

You’ll get instructor guidance, full Techionista team support, and join a community of like-minded fellow students, willing to help each other out

Planning and schedule

ou’ll study full-time, with a mix of structured and self-paced modules. A handy schedule is provided to assist with planning and pacing.

You are the perfect match when you are...

Basic Knowledge

It’s important that you have some analytical aptitude (for example, a knack for mathematics). Experience with tools like Excel or programming languages is definitely a plus.

Academic level

We estimate that you need to have an academic (thinking) level for this training. You do not have to prove this to us with a University diploma; it is also possible that you reached this level through your work experience.

Laptop or computer

We recommend you have Office 365 or 2021 installed, but any version after 2010 should work. We also recommend having a second screen so you can efficiently attend live training sessions while doing lab work on a second screen.


You have a growth mindset: you don’t see problems but challenges. You are assertive, communicative and eager to learn. You can handle setbacks and are flexible.


We believe in age diversity, so there is no such thing as too young or too old. Everyone is welcome!


This training takes place in Dutch or English. The study material is always in English. A good command of the English is therefore also important.

What was her experience?

This course provides, in a short time, a nice introduction into the world of data science. If you already have experience with data science, this course shows you how you can easily apply machine learning together with Azure. I think this is a beautiful and inspiring course.
Meyke van den Bos
Alumna & Data Scientist at TomTom
IT's about time

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