undefinedBeginner guidance for starting Data Science with Microsoft Fabric

[Harshuu12]

Hello everyone,

I am a beginner student and I have recently joined the Microsoft Fabric Community.

I am interested in Data Science and my goal is to build strong skills for a high-paying career.

I would like guidance on:

What should I learn first as a beginner?

Is Microsoft Fabric good for Data Science beginners?

Which tools and skills should I focus on initially (Python, SQL, Power BI, etc.)?

Any roadmap, resources, or beginner tips would be really helpful.

Thank you in advance.

[v-pnaroju-msft]

Hi Harshuu12,

We are following up to see if what we shared solved your issue. If you need more support, please reach out to the Microsoft Fabric community.

Thank you.

[v-pnaroju-msft]

Thankyou, @AntoineW and @deborshi_nagfor your responses.

Hi Harshuu12,

We appreciate your inquiry through the Microsoft Fabric Community Forum.

We would like to inquire whether have you got the chance to check the solutions provided by @AntoineW and @deborshi_nag to resolve the issue. We hope the information provided helps to clear the query. Should you have any further queries, kindly feel free to contact the Microsoft Fabric community.

Thank you.

[deborshi_nag · Accepted solution]

Hi @Harshuu12 

Start with foundational skills:

• Python: Most popular language for Data Science. Learn basics like variables, loops, functions, and then libraries like Pandas, NumPy, and Matplotlib.
• SQL: Essential for querying and managing data in databases.
• Basic Statistics & Math: Understand concepts like mean, median, variance, probability, and linear algebra.

Suggested Roadmap

Phase 1: Foundations

• Python basics
• SQL basics
• Intro to statistics

Phase 2: Data Analysis

• Pandas, NumPy, Matplotlib
• Power BI basics
• Explore Microsoft Fabric (Lakehouse, Notebooks)

Phase 3: Machine Learning

• Scikit-learn basics
• Simple ML models (Regression, Classification)

Phase 4: Advanced

• Azure ML & Fabric integration
• Big Data concepts
• Deep Learning (optional later)

Resources

• Microsoft Learn: Free Fabric and Power BI courses
• Kaggle: Python & ML practice
• Books: “Python for Data Analysis” by Wes McKinney
• YouTube: Corey Schafer (Python), Alex The Analyst (Power BI)

Beginner Tips

• Start small: Practice with real datasets (Kaggle).
• Build projects: e.g., Sales Dashboard in Power BI, Data Cleaning in Python.
• Join communities: Microsoft Fabric Community, Kaggle forums.

Here are some useful links -

Fabric

https://learn.microsoft.com/en-us/fabric/data-science/tutorial-data-science-introduction

https://microsoftlearning.github.io/mslearn-fabric/Instructions/Labs/08-data-science-get-started.htm...

https://learn.microsoft.com/en-us/training/paths/implement-data-science-machine-learning-fabric/

https://github.com/microsoft/Data-Science-For-Beginners

Python for Data Science

https://www.freecodecamp.org/news/python-data-science-course-matplotlib-pandas-numpy/

https://www.youtube.com/watch?v=CMEWVn1uZpQ

https://www.mygreatlearning.com/academy/learn-for-free/courses/data-science-with-python

Kaggle

https://www.kaggle.com/learn

https://www.kdnuggets.com/7-free-kaggle-micro-courses-for-data-science-beginners

https://tutorialsdojo.com/kaggle-your-first-data-science-project/

Hope this helps - please appreciate giving a Kudos or accepting as a Solution! 

[AntoineW]

Foundations first, ML later.

Priority skills

1. SQL (mandatory)

2. Python for data (pandas, numpy)

3. Data fundamentals (tables, joins, basic stats)

4. Power BI (visualization, basic DAX)

5. Microsoft Fabric basics

Here some references : 

- https://learn.microsoft.com/en-us/fabric/data-science/data-science-overview

- https://learn.microsoft.com/en-us/fabric/data-science/tutorial-data-science-introduction