$0.00

$99.00

Request more information

Submit

Microsoft Course: Understand data science for machine learning

Demystify Machine Learning: Your No-Stress ML Starter Kit
  • Grasp foundational ML concepts without heavy math prerequisites
  • Learn to preprocess data, train models, and assess performance metrics
  • Gain confidence in building regression and classification models
  • Understand data imbalances and hyperparameter tuning
  • Prepare for advancing to deep learning or specialized ML tools
  • Build a base for specialized roles in AI development or cloud engineering
  • Prepare for more advanced Microsoft certifications in AI

What you will learn

"Understand Data Science for Machine Learning" is a 7-hour 25-minute course designed for learners with minimal mathematical or technical background. This beginner-friendly path breaks down core machine learning concepts through interactive Jupyter notebooks, metaphors, and visuals. Covering foundational topics like supervised learning, regression, classification, and model evaluation, it emphasizes hands-on understanding over advanced tools. Perfect for those new to ML or seeking intuitive explanations, the course balances theory with practical exercises to demystify data science workflows and prepare learners for deeper exploration of AI.

​​Microsoft's Implement a data science and machine learning solution for AI in Microsoft Fabric course Outline

Learn the Implement a data science and machine learning solution for AI in Microsoft Fabric

Curious about machine learning but intimidated by complex math? ​​"Understand Data Science for Machine Learning"​​ on Microsoft Learn offers a stress-free entry point. With interactive Jupyter notebooks, relatable analogies, and visual guides, this 9-module course teaches core ML principles—from data prep to model evaluation—without overwhelming jargon. Whether you're a career switcher or a curious beginner, start learning today and unlock the skills to turn raw data into actionable insights!

Start your journey today:

microsoft-learning

Course Structure Includes:

  • ​​Module 1:​​ Introduction to ML basics and lifecycle.
  • ​​Module 2:​​ Supervised learning fundamentals.
  • ​​Module 3:​​ Data preparation and encoding.
  • ​​Module 4:​​ Regression models and performance analysis.
  • ​​Module 5:​​ Model refinement and testing strategies.
  • ​​Module 6:​​ Classification with logistic regression.
  • ​​Module 7:​​ Hyperparameter tuning with random forests.
  • ​​Module 8:​​ Confusion matrices and handling imbalanced data.
  • ​​Module 9:​​ Optimizing models using ROC/AUC curves.

Training Options

Self Paced Learning
  • Lifelong access to high-quality content
  • Curated by industry experts
  • Customized learning progress
  • 24/7 learner assistance and support
  • Follow the latest technology trends
Enroll Now
Exam Dump
  • 100% Real Exam Practice Tests
  • 100% Verified Exam Questions & Answers
  • 100% Guarantee Passing Rate
  • Average 7 Days to Practice & Pass
Enroll Now
Description

Learn ML basics through interactive notebooks and intuitive explanations. Master data prep, model building, and evaluation for real-world AI projects.

Pre-requisites

None

SPOTO Empowers You to Earn Your Certification.

Benefits of AWS Certified AI Practitioner Certification

​​Microsoft Certified: Azure AI Fundamentals (AI-900)​​ is an entry-level certification designed to validate foundational knowledge of AI and machine learning concepts, including computer vision, natural language processing (NLP), generative AI, and responsible AI principles. Ideal for both technical and non-technical professionals, it requires no prior coding experience and offers free, flexible learning resources via Microsoft Learn. The certification enhances career prospects in high-demand roles like AI Engineer or Data Scientist, with potential salary increases up to 20%, while serving as a gateway to advanced Azure certifications (e.g., AI-102). Cost-effective and time-efficient (preparation in 10–30 hours), the exam focuses on real-world applications using Azure Cognitive Services, OpenAI APIs, and Azure Machine Learning. With permanent validity and global recognition across 90+ countries, it equips professionals to drive AI innovation in industries such as healthcare and finance. Start your AI journey with Microsoft Learn today!

Advantages of Using SPOTO's Exam Preparation Materials

SPOTO's study resources provide comprehensive coverage of the exam syllabus, aligning with key topics like ML problem framing, data processing, model optimization, and pipeline automation. The materials include structured learning paths, practice exams, and real-world case studies that mirror the certification's focus on designing, implementing, and deploying machine learning solutions with Microsoft services and ML workflows. By leveraging SPOTO's targeted content, candidates can efficiently bridge knowledge gaps, reinforce practical skills, and gain familiarity with the exam format. This focused preparation increases confidence and readiness, particularly for complex tasks such as deploying CI/CD pipelines or optimizing model performance—areas emphasized in the certification. Combined with hands-on experience, SPOTO's resources offer a strategic advantage for achieving certification success.

Online Learning Community

Click to join the online learning community and learn AI knowledge:

https://chat.whatsapp.com/Fc9f29Bd0SQAMeDThBFdpY