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

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

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

Course Code: C488

4 Review(s) | Add Your Review

What's This Course About

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.

WSQ Funding

Full Fee $350.00 Before GST
GST $31.50 9% of fee
Baseline Nett $206.50 SG/PR age 21+ · 50% funded
MCES / SME Nett $136.50 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

Course Fee

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

Course Date

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

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.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • 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

Course Details

What You'll Learn

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

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

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

Review

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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