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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

Download Course Brochure

Certification

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

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

Course Code: C488

7 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 ₵1,500.00 Before GST
GST ₵135.00 9% of fee
Baseline Nett ₵885.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵585.00 SG age 40+ · 70% funded

Course Fee

₵1,500.00

Course Date

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 info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

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

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

Review

Customer Reviews (7)

Learned a lot 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
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 5/14/2026)
Very informative 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
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 3/25/2026)
Fantastic experience 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
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 3/17/2026)
Great learning experience 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
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 7/13/2025)
Great learning experience 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
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 3/3/2025)

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