WSQ , IBF, SkillsFuture, PEI Approved Training Provider

DP-604T00 Implement a data science and machine learning solution with Microsoft Fabric

This course provides a comprehensive guide to implementing data science and machine learning solutions using Microsoft Fabric. Learn the end-to-end analytics workflow, from data exploration and preprocessing to model training and deployment. Gain hands-on experience with notebooks, Data Wrangler, and MLflow to handle data distribution, missing values, and predictive modeling. Discover how to leverage Microsoft Fabric for seamless data processing, visualization, and machine learning experimentation.

Through practical exercises, you will train and track machine learning models, generate batch predictions, and manage AI-driven workflows efficiently. This course is ideal for data scientists, analysts, and AI professionals looking to integrate Microsoft Fabric into their data science pipeline. By the end of the training, you will be equipped to build scalable machine learning solutions, optimize predictive analytics, and enhance decision-making with AI-powered insights.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

Course Code: C488

Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

The course fee listed above is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

Course Date

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Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Course Cancellation/Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom

Course Details

Topic 1 Introduction to end-to-end analytics using Microsoft Fabric

  • Explore end-to-end analytics with Microsoft Fabric
  • Data teams and Microsoft Fabric
  • Enable and use Microsoft Fabric

Topic 2 Get started with data science in Microsoft Fabric

  • Understand the data science process
  • Explore and process data with Microsoft Fabric
  • Train and score models with Microsoft Fabric
  • Explore data science in Microsoft Fabric

Topic 3 Explore data for data science with notebooks in Microsoft Fabric

  • Explore notebooks
  • Load data for exploration
  • Understand data distribution
  • Check for missing data in notebooks
  • Apply advanced data exploration techniques
  • Visualize charts in notebooks
  • Use notebook for data exploration in Microsoft Fabric

Topic 4 Preprocess data with Data Wrangler in Microsoft Fabric

  • Understand Data Wrangler
  • Perform data exploration
  • Handle missing data
  • Transform data with operators
  • Preprocess data with Data Wrangler in Microsoft Fabric

Topic 5 Train and track machine learning models with MLflow in Microsoft Fabric

  • Understand how to train machine learning models
  • Train and track models with MLflow and experiments
  • Manage models in Microsoft Fabric
  • Train and track a model in Microsoft Fabric

Topic 6 Generate batch predictions using a deployed model in Microsoft Fabric

  • Customize the model's behavior for batch scoring
  • Prepare data before generating predictions
  • Generate and save predictions to a Delta table
  • Generate and save batch predictions

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Data Analyst
  • Business Intelligence Developer
  • Data Engineer
  • Cloud Data Engineer
  • Applied AI Specialist
  • Analytics Consultant
  • Data Science Consultant
  • AI Solutions Architect
  • Predictive Analytics Specialist
  • Big Data Engineer
  • Microsoft Fabric Developer
  • Research Scientist (AI & ML)
  • AI Product Manager
  • Data Science Project Manager
  • Machine Learning Researcher
  • Cloud AI Engineer
  • Enterprise Data Architect

Trainers

Tan Jun Yuan : Tan Jun Yuan is a practicing designer with over 6 years’ experience. His focus is in product visualization - translating sketch concepts to actual 3D models for prototyping and presentation. He uses a combination of tools such as Rhino, vray, photoshop and illustrator to present these ideas in a photo realistic manner. He is always happy to share his tips and best practices on how to use these software

Customer Reviews (4)

will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 12/24/2022)
It was awesome!!!! Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
It was awesome!!!! (Posted on 8/7/2022)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Maybe should be a 1.5 / 2 days training course (Posted on 9/27/2021)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Making this two days course (Posted on 8/2/2017)

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