How to enroll myself to learn Data Science from scratch to become a Data Scientist

To learn data science for Azure with more structure, start with beginner data fundamentals, then move into machine learning–specific training, and finally take the Azure Data Scientist course content as preparation for the certification.

A recommended sequence using Microsoft Learn resources is:

1. Build core data fundamentals
   • Take the Introduction to Microsoft Azure Data course (DP-900T00-A). This is a 1‑day, instructor-led course that covers core data concepts (relational, non-relational, big data, analytics) and Azure data services. It is designed for beginners and is aligned to the Azure Data Fundamentals certification.
   • Complement this with the Introduction to Microsoft Azure Data core data concepts learning path, which is self-paced and beginner level. It covers:
     • Core data concepts and how data is represented and used.
     • Data roles and Azure data services.
2. Learn analytics and visualization basics
   • Use the Introduction to Microsoft Azure Data analytics in Azure learning path. It is beginner level and helps prepare for Azure Data Fundamentals, with modules on:
     • Large-scale analytics and modern data warehouse components.
     • Real-time analytics and stream processing.
     • Data visualization fundamentals with Power BI.
3. Learn data for machine learning
   • Complete the Introduction to data for machine learning module. It is beginner level and targeted at AI Engineers, Data Scientists, and Students. It teaches how to:
     • Perform exploratory data analysis (EDA) and visualize large datasets.
     • Clean errors in data and handle missing values.
     • Work with numeric and categorical data, including one-hot encoding.
   • This module includes exercises and an assessment to validate understanding.
4. Move to Azure Data Scientist–level training
   • After the fundamentals, enroll in Course DP-100T01-A: Designing and implementing a data science solution on Azure. This is a 4‑day, instructor-led course focused on:
     • Operating machine learning solutions at cloud scale using Azure Machine Learning and MLflow.
     • Data ingestion and preparation.
     • Model training, deployment, and monitoring.
   • This course is aligned with the Microsoft Certified: Azure Data Scientist Associate certification and is designed for learners who already know Python and frameworks like Scikit-Learn, PyTorch, or TensorFlow.
5. Choose delivery format (documentation vs. instructor-led)
   • Self-paced modules and learning paths on Microsoft Learn are primarily web-based (text, interactive labs, knowledge checks). They are not full video-only courses but often include short videos and hands-on content.
   • For a video-based, tutor/instructor-led experience, use the instructor-led training options:
     • DP-900T00-A (Azure Data Fundamentals) and DP-100T01-A (Designing and implementing a data science solution on Azure) are both instructor-led courses delivered by Microsoft Certified Trainers through Microsoft’s training partner network.
     • These courses provide structured, synchronous training with an instructor, which is closer to the “video-based tutor instructed course” being requested.
6. How to find and enroll in instructor-led courses
   • On Microsoft Learn, browse Courses under Training to locate:
     • Course DP-900T00-A: Introduction to Microsoft Azure Data.
     • Course DP-100T01-A: Designing and implementing a data science solution on Azure.
   • From each course page, use the listed training partner options to register for an online or in-person class delivered by a Microsoft Certified Trainer.

This path takes a learner from data fundamentals, through analytics and ML data handling, up to full Azure Data Scientist training aligned with the Azure Data Scientist Associate certification, using a mix of self-paced and instructor-led (video/tutor) options.

References:

• Introduction to Microsoft Azure Data
• Introduction to Microsoft Azure Data core data concepts
• Introduction to Microsoft Azure Data analytics in Azure
• Introduction to data for machine learning
• Designing and implementing a data science solution on Azure
• Microsoft Learn content and resource types
• Prepare for Microsoft Applied Skills assessment lab