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Course Details
LU1 Introduction to data analytics on Azure
Topic 1 Explore Azure data services for modern analytics
Understand the Azure data ecosystem
Explore modern analytics solution architecture
Topic 2 Understand concepts of data analytics
Understand data analytics types
Explore the data analytics process
Understand types of data and data storage
Topic 3 Explore data analytics at scale
Explore data team roles and responsibilities
Review tasks and tools for data analysts
Scale analytics with Azure Synapse Analytics and Power BI
Strategies to scale analytics
LU2 Govern data across an enterprise
Topic 4 Introduction to Microsoft Purview
What is Microsoft Purview?
How Microsoft Purview works
When to use Microsoft Purview
Topic 5 Discover trusted data using Microsoft Purview
Search for assets
Browse assets
Use assets with Power BI
Integrate with Azure Synapse Analytics
Topic 6 Catalog data artifacts by using Microsoft Purview
Register and scan data
Classify and label data
Search the data catalog
Topic 7 Manage Power BI assets by using Microsoft Purview
Register and scan a Power BI tenant
Search and browse Power BI assets
View Power BI metadata and lineage
Topic 8 Integrate Microsoft Purview and Azure Synapse Analytics
Catalog Azure Synapse Analytics data assets in Microsoft Purview
Connect Microsoft Purview to an Azure Synapse Analytics workspace
Search a Purview catalog in Synapse Studio
Track data lineage in pipelines
Exercise - Integrate Azure Synapse Analytics and Microsoft Purview
LU3 Model, query, and explore data in Azure Synapse
Topic 9 Introduction to Azure Synapse Analytics
What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics
Exercise - Explore Azure Synapse Analytics
Topic 10 Use Azure Synapse serverless SQL pool to query files in a data lake
Understand Azure Synapse serverless SQL pool capabilities and use cases
Query files using a serverless SQL pool
Create external database objects
Exercise - Query files using a serverless SQL pool
Topic 11 Analyze data with Apache Spark in Azure Synapse Analytics
Get to know Apache Spark
Use Spark in Azure Synapse Analytics
Analyze data with Spark
Visualize data with Spark
Exercise - Analyze data with Spark
Topic 12 Analyze data in a relational data warehouse
Design a data warehouse schema
Create data warehouse tables
Load data warehouse tables
Query a data warehouse
Exercise - Explore a data warehouse
LU4 Prepare data for tabular models in Power BI
Topic 13 Choose a Power BI model framework
Describe Power BI model fundamentals
Determine when to develop an import model
Determine when to develop a DirectQuery model
Determine when to develop a composite model
Choose a model framework
Topic 14 Understand scalability in Power BI
Describe the significance of scalable models
Implement Power BI data modeling best practices
Configure large datasets
Exercise: Create a star schema model
Topic 15 Create and manage scalable Power BI dataflows
Define use cases for dataflows
Create reusable assets
Implement best practices
Exercise: Create a dataflow
LU5 Design and build tabular models
Topic 16 Create Power BI model relationships
Understand model relationships
Set up relationships
Use DAX relationship functions
Understand relationship evaluation
Exercise: Work with model relationships
Topic 17 Use DAX time intelligence functions in Power BI Desktop models
Use DAX time intelligence functions
Additional time intelligence calculations
Exercise - Create Advanced DAX Calculations in Power BI Desktop
Topic 18 Create calculation groups
Understand calculation groups
Explore calculation groups features and usage
Create calculation groups in a model
Exercise: Create calculation groups
Topic 19 Enforce Power BI model security
Restrict access to Power BI model data
Restrict access to Power BI model objects
Apply good modeling practices
Exercise: Enforce model security
Topic 20 Use tools to optimize Power BI performance
Use Performance analyzer
Troubleshoot DAX performance by using DAX Studio
Optimize a data model by using Best Practice Analyzer
Exercise: Use tools to optimize Power BI performance
LU6 Implement advanced data visualization techniques by using Power BI
Topic 21 Understand advanced data visualization concepts
Create and import a custom report theme
Enable personalized visuals in a report
Design and configure Power BI reports for accessibility
Create custom visuals with R or Python
Review report performance using Performance Analyzer
Topic 22 Monitor data in real-time with Power BI
Describe Power BI real-time analytics
Set up automatic page refresh
Create real-time dashboards
Set-up auto-refresh paginated reports
Exercise: Monitor data in real-time with Power BI
Topic 23 Create paginated reports
Get data
Create a paginated report
Work with charts on the report
Publish the report
LU7 Implement and manage an analytics environment
Topic 24 Provide governance in a Power BI environment
Elements of data governance
Configure tenant settings
Deploy organizational visuals
Manage embed codes
Help and support settings
Topic 25 Facilitate collaboration and sharing in Power BI
Workspaces evolved
Impact to Power BI users
Permissions in workspaces v
Apps in Power BI
Share
Publish to web
Embed and link in portals
Data sensitivity labels
Data privacy
Topic 26 Monitor and audit usage
Premium resource management
Supporting multi geographies
Bring your own key (BYOK)
Featured external tools
Topic 27 Establish a data access infrastructure in Power BI
Personal gateways versus enterprise gateways
How data is refreshed
Gateway network requirements
Where to install gateway?
Establish high availability gateways
Establish load balancing of gateways
Gateway performance monitoring documentation
Multiple data sources per gateway
Manage gateway users
Active Directory user mapping with custom property lookup
Topic 28 Broaden the reach of Power BI
REST API custom development
Provision a Power BI embedded capacity
Dataflow introduction
Dataflow explained
Create a Dataflow
Dataflow capabilities on Power BI Premium
Template apps - install packages
Template apps - installed entities
Template app governance
Topic 29 Automate Power BI administration
REST API - Power BI service
Microsoft Power BI cmdlets for Windows PowerShell and PowerShell core
Install and use the Power BI cmdlet
Test REST API calls
Script typical administrator tasks
Lab
Topic 30 Build reports using Power BI within Azure Synapse Analytics
Describe the Power BI and Synapse workspace integration
Exercise - Connect to Power BI from Synapse
Understand Power BI data sources
Exercise - Create a new data source to use in Power BI
Exercise - Create a new Power BI report in Synapse Studio
Describe Power BI optimization options
Exercise - Improve performance with materialized views and result-set caching
Visualize data with serverless SQL pools
LU8 Manage the analytics development lifecycle
Topic 31 Design a Power BI application lifecycle management strategy
Define application lifecycle management
Recommend a source control strategy
Design a deployment strategy
Topic 32 Create and manage a Power BI deployment pipeline
Understand the deployment process
Create a deployment pipeline
Assign a workspace
Deploy content
Work with deployment pipelines
Topic 33 Create and manage Power BI assets
Create reusable Power BI assets
Explore Power BI assets using lineage view
Manage a Power BI dataset using XMLA endpoint
Exercise: Create reusable Power BI assets
Course Info
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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 Analyst
- Business Intelligence Analyst
- Database Administrator
- Data Scientist
- Data Engineer
- Azure Solution Architect
- Cloud Engineer
- Data Architect
- Machine Learning Engineer
- AI Developer
- Business Analyst
- Data Consultant
- Big Data Engineer
- SQL Developer
- Data Manager
Trainers
Sanjiv Venkatram: Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers
Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.
Alec Tan: Alec Tan is a ACTA certified trainer, He has a number of Comptia certifications. Since 2002, starting off from IT technical background to pre-sales, sales account manager, system integration, operate IT retail / repair shop business in Sim Lim Square 2008 ~ 2012, and back to IT industry employment, freelance IT Trainer till present.
Kishan Raaj: Kishan Raaj is a seasoned Data Science and SAP Program Manager with over 15 years of experience, currently leading all end-to-end training and projects for Data Science across Asia at LITHAN, Singapore. With expertise in machine learning, data analytics, and cloud technologies, he is well-versed in techniques such as regression, decision trees, clustering, and text mining. He has hands-on experience with tools like Python, R, Tableau, PowerBI, and Microsoft Azure Machine Learning Studio.
As an ACTA certified trainer, Kishan has designed and delivered comprehensive courses for SAP and Data Science programs, managing teams and training in multiple countries, including Singapore, Malaysia, China, India, and Vietnam. His background in SAP, particularly in S4/HANA and ABAP, combined with his expertise in machine learning libraries such as TensorFlow and Keras, positions him as a highly capable leader in technical education and project management across various industries.
Quah Chee Yong: Quah Chee Yong is a ACTA certified trainer. Quah Chee Yong Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industriesA firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment
He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners
Peter Cheong : Peter is a ACLP certied trainer. Specialise In IT related knowlege and conduct IT Training which Include Microsoft Window Server Technology (Wintel) and Linux - Centos/Red Hat. Comptia ,ITIL , Motorola Solution Trunking System and Cisco Networking. I was worked in Motorola Solutions Conduct Motorola Astro 25 Trunking System For Police Force Malaysia (RMPnet),Taiwan Navy, Indonesia METRO POLDA (Police Force). After that Peter Join As IT Group Manager For W-Group which include 17 subsidiaries Companies in Real Estate Developer,Plantation, Building Management Services ,Contruction and also Fiber Opti Service Provider in Sabah,Malaysia.
Alan Tan: Alan Tan is a ACTA certified trainer. Alan Tan hold Masters in Data Science in Singapore University of Technology and Design. He is Microsoft Power Platform PL-900 certified and Microsoft Azure Data Fundamentals Certified DP-900. He have this skills in Microsoft Power Platform development skills such as Powerapps, Power Automate,Power Portal, Power Virtual Agent, Power BI, Sharepoint, Dataverse, etc. For Programming language such as Python and Robotics Process Automation (RPA) development. He is working as a Senior Data Engineer in an MNC.
Bernard Peh: Bernard Peh is a Business Development Director and ACTA certified trainer with over 20 years of experience in the financial services industry. He has held key leadership roles and integrated technology, digital marketing, and data science to drive growth in sales, recruitment, and financial planning. As a mentor, Bernard has developed many successful financial professionals who have achieved top industry accolades like TOT, COT, and MDRT.
With deep expertise in data science, Bernard has advised firms and designed training programs for institutions like NTUC Learning Hub. He continues to apply data science to collective funds, achieving exceptional results such as a 400% increase in assets under management, while empowering financial professionals with technology-driven solutions.
Ken Hiong: Ken Hiong is a ACTA certified trainer. Ken has over 20 years of work experience in the healthcare and pharmaceutical industry, having assumed various functional and managerial roles in sales, marketing, business development, finance, business analysis and planning. With an interest and experience in scripting, Ken has worked on projects using HTML, CSS, PHP, MySQL, WordPress, MS Office, VBA, Power BI, etc. Notably, Ken is a proven expert Excel user at work who has made efficient many work processes, improved data analysis and enhanced the quality of business planning and reporting for organizations.
Ken graduated with a Pharmacy degree, holds a Master of Business Administration from the National University of Singapore and a Master of Applied Finance from the University of Adelaide. An ardent advocate of lifelong learning, Ken is ACTA trained and seeks to continually upgrade his IT skills through various channels of learning and Microsoft certifications. With MS Office Master qualification, Ken looks forward to assisting individuals and corporations improve their computer skills, productivity and business outcomes.
Audrey Lin : Audrey Lin is a ACTA certified trainer. She is a Business Development Director at Gill Technologies, an IT Consulting and Managed Services Provider focused at servicing SMEs. I'm responsible for the operations, sales, marketing, accounting, and finance functions of the organization. She have 13 years of experience in helping businesses and schools maximize their Return on Investment on IT through the use of the right technology, improving their business processes and increasing user adoption. My expertise is around Microsoft 365, MS Teams and Power BI. To help organizations improve employee productivity with tools from the MS 365 stack, she have delivered several classroom & online-styled end user training sessions to organizations from various industries - real estate, F&B, oil & gas, healthcare, schools, logistics. I have also created multiple customized & on-demand videos that end users can refer to for a quick review. Being certified as a Microsoft Data Analyst Associate, She is proficient at helping businesses gather business insights from their wide array of data. She have been involved in BI Projects with healthcare firms, logistics companies, FIs, etc., starting from the design phase, right through to the daily management of the BI system. Her area of knowledge in managing security and compliance in MS 365 is significant and ever-growing. She have good understanding of the Zero Trust Principle and uses that to improve the IT security posture of her clients. With the support of her engineering team at Gill Technologies, we use cloud-based management tools from MS 365, namely Intune, Endpoint Manager, Defender, etc. to manage our clients' endpoints.