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
Duration
Format
Certificates
AZ-900
DP-100
DP-100
Level
Price
Need financial support to follow this track?
Your career boost? Become a Microsoft Certified Data Scientist!
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
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.
Mentality
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.
Age
We believe in age diversity, so there is no such thing as too young or too old. Everyone is welcome!
Language
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?
Meyke van den Bos
Alumna & Data Scientist at TomTom
IT's about time