ADAV-DO: Advanced Data Analytics And Visualization

Name: ADAV-DO: Advanced Data Analytics And Visualization
Brand: Data Analytics
Price: 2500 MYR
Availability: InStock

RM 2,500.00

Advanced Data Analytics And Visualization – Turn Raw Data Into Business Intelligence That Drives Results

In today’s data-driven economy, insights aren't optional—they're a competitive edge. The Advanced Data Analytics And Visualization course is a practical, beginner-friendly 2-day program that teaches professionals how to confidently work with data, uncover insights, and communicate them with impact—even without a technical background.

Through hands-on exercises and real-world case studies, you’ll learn to:

Understand the data analytics lifecycle, from sourcing to interpretation
Apply descriptive statistics and identify patterns that drive better decisions
Build effective dashboards and data visualizations that speak to both technical and non-technical audiences
Explore the basics of predictive analytics and machine learning concepts to forecast trends
Communicate data stories that influence stakeholders and solve business problems

More than 90% of organizations say data is key to their strategy—yet fewer than 30% feel confident in their team's ability to interpret it. This course helps bridge that gap by empowering staff at all levels to think and act analytically.

Whether you're an executive, analyst, or student, this course builds your data confidence from the ground up—so you can contribute meaningfully to projects, reports, and strategic decisions.

No coding. No jargon. Just practical skills to make data work for you.

Training Duration: 2 Days

Certificate Of Completion Available
Group Private Class
VILT Class Available
SBL-Khas Claimable

Download Course Outline

To provide participants with a foundational understanding of data analytics principles, visualization techniques, and their application in addressing business challenges. This course aims to demystify key concepts and equip participants with the knowledge to engage confidently in data-related discussions and projects.

What you will learn:

The fundamentals of what data analytics is and why it matters.

How to think about data: types, sources, and quality considerations.

An overview of the process used to analyse data, from collection to interpretation.

Basic statistical ideas to help make sense of data patterns (like averages and trends).

How to choose the right charts and graphs to represent data effectively.

The role of dashboards in monitoring performance and integrating data.

An introduction to the concepts of forecasting future trends using data (predictive analytics & machine learning).

Strategies for presenting data stories and insights clearly and concisely.

How to connect data analysis techniques to real-world business questions.
Upon successful completion of this course, participants should
be able to:

Define data analytics and explain its importance in various contexts.

Identify different types of data and common data sources.

Describe the basic steps involved in the data analysis process.

Understand fundamental statistical concepts used in data interpretation.

Recognise the principles of effective data visualization.

Explain the purpose and components of dashboards and Key Performance Indicators (KPIs).

Grasp the basic concepts behind predictive analytics and machine learning.

Understand the importance of communicating analytical findings clearly, especially to non-technical audiences.

Identify ways data-driven approaches can help solve business problems.
Day 1: Foundations of Data Analytics & Visualization

Module 1: Introduction to Data Analytics

What is Data Analytics? Why is it Important?

Real-world examples across industries

The Data Analytics Lifecycle/Process Overview

Roles in Data Analytics (Analyst, Scientist, Engineer etc.)

Ethical considerations in data handling

Module 2: Understanding Data

Types of Data (Quantitative vs. Qualitative, Structured vs.Unstructured)

Common Data Sources (Databases, Spreadsheets, APIs, Web)

Introduction to Data Quality (Accuracy, Completeness,Consistency)

Basic Data Exploration Concepts

Module 3: Fundamentals of Data Analysis & Statistics

Introduction to Descriptive Statistics (Mean, Median, Mode, Range)

Understanding Distributions (Basic Concepts)

Introduction to Correlation vs. Causation

Hands-on Activity: Calculating basic stats using sample data (e.g., in Excel/Google Sheets)

Module 4: Introduction to Data Visualization

Why Visualize Data? Principles of Effective Visualization

Common Chart Types (Bar, Line, Pie, Scatter Plot) and When to Use Them

Introduction to Dashboards: Purpose and Key Components

Understanding Key Performance Indicators (KPIs)

Activity: Critiquing visualizations & sketching dashboard ideas

Day 2: Applying Analytics & Communicating Insights

Module 4: Data Visualization & Dashboards (Continued)

Building Basic Dashboards: Concepts and Tools Overview (e.g., demonstrating simple dashboard creation in Excel/GoogleSheets or a tool like Tableau Public/Power BI Desktop)

Integrating multiple data sources conceptually

Activity: Designing a simple KPI dashboard layout for a given scenario

Module 5: Introduction to Predictive Analytics & Machine Learning Concepts

What is Predictive Analytics? How does it differ from descriptive?

Basic Concepts: Forecasting, Classification, Clustering (explained simply)

Introduction to Machine Learning: What it is, how it learns from data (conceptual overview)

Examples: Recommendation engines, spam filters, sales forecasting

Understanding limitations and biases

Module 6: Communicating Analytical Outcomes

The Importance of Storytelling with Data

Tailoring communication to your audience (Technical vs. Non-technical)

Structuring a data presentation or report

Techniques for simplifying complex findings

Activity: Practice explaining insights from a simple chart/table

Module 7: Designing Data-Driven Solutions

Framing Business Challenges as Data Questions

Case Study: Walking through a simplified business problem and how data analysis & visualization could provide solutions/insights

Group Activity: Brainstorming data approaches for sample business scenarios

Frequently Asked Questions

What is the Professional Certificate in Data Analytics with Microsoft Power BI?

It is a 5-day instructor-led training program that develops practical skills in data preparation, DAX calculations, data modeling, Power BI reporting, dashboard design, and data storytelling. Participants complete assessments and may receive the Professional Certificate upon successful completion.

Is this Power BI course suitable for beginners?

The fundamentals module is designed for beginners and participants with limited programming or data warehousing knowledge. Familiarity with Microsoft Excel and awareness of business concepts such as revenue and profitability are recommended.

However, the DAX, data modeling, and dashboard modules have their own prerequisites. Participants should ideally have basic Power BI or Power Pivot knowledge before attending the more advanced modules.

What will I learn during the 5-day Power BI training?

You will learn how to:

Connect and transform data using Power Query.
Create reports and dashboards.
Write DAX formulas and measures.
Apply evaluation contexts and CALCULATE.
Build data models using star schemas.
Manage relationships, granularity and date dimensions.
Design dashboards using data storytelling principles.

What is DAX and why is it important in Power BI?

DAX, or Data Analysis Expressions, is the expression language used for calculations in Power BI. It enables users to create calculated columns, measures and analytical calculations involving filters, relationships, time intelligence and evaluation contexts.

Do I need Excel knowledge before learning Microsoft Power BI?

Basic technical familiarity with Microsoft Excel is recommended for the fundamentals module. The course also introduces Excel as a data source, making Excel knowledge useful when learning how to connect and prepare data in Power BI.

Will I learn how to design professional Power BI dashboards?

Yes. The final module covers dashboard strategy, visualization, and data storytelling, including the 7 Golden Rules of Dashboard Design. Participants also complete dashboard projects and an oral presentation to explain their design decisions and insights.

Is this Professional Certificate in Data Analytics with Microsoft Power BI HRDC Claimable?

Yes. This Professional Certificate in Data Analytics with Microsoft Power BI course is HRDC Claimable, subject to the applicable HRD Corp requirements and employer eligibility.

What certificates will I receive upon completing the course?

Upon successful completion of the program, participants will receive the following credentials and certification opportunities:

Certificate awarded by the Graduate School of Business, Universiti Sains Malaysia (USM)
Participants will receive a certificate awarded by the Graduate School of Business, Universiti Sains Malaysia, recognizing their completion of the professional data analytics program.
Certificate of Completion by GemRain Consulting
GemRain Consulting will issue a Certificate of Completion to participants who successfully complete the training program.
Microsoft Power BI Data Analyst Associate Certification
Participants will have the opportunity to pursue the official Microsoft Certified: Power BI Data Analyst Associate certification by sitting for the relevant Microsoft certification examination.
Microsoft awards the certification upon successful completion of the required examination. Passing the training program alone does not automatically grant the Microsoft certification.

ADAV-DO: Advanced Data Analytics And Visualization

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