24/09/2026
မင်္ဂလာပါခင်ဗျာ၊ 😊 ကျွန်တော်တို့ ArtificaLab ကနေပြီး လာမယ့် **Nov 16 ရက်နေ့**မှာ **Microsoft Power BI Course + PL-300** အတန်းလေးကို ပြန်လည် ဖွင့်လှစ်တော့မှာ ဖြစ်ပါတယ်ခင်ဗျာ။
ဒီသင်တန်းလေးကတော့ အခုမှ Power BI လေ့လာချင်သူတွေအတွက် အထူးသင့်လျော်ပြီး Power BI Project ကြီး ပြီးဆုံးသည်အထိ အစအဆုံး လေ့လာရမှာပဲ ဖြစ်ပါတယ်။
ဒါ့အပြင် သင်တန်းပြီးဆုံးတဲ့အခါမှာလည်း **Microsoft Certified Power BI Data Analyst (PL-300)** ဆက်လက်ဖြေဆိုနိုင်ဖို့အတွက် Exam လေ့လာနည်းတွေကို Support ပေးအုံးမှာလည်း ဖြစ်ပါတယ်ဗျ။
💰 **သင်တန်းကြေး (Fees):** MMK 275,000
🗓️ **သင်တန်းချိန်:** both Monday & Tuesday (7:30 PM – 9:00 PM)
** 3 Months Duration **
Microsoft Teams ကနေတစ်ဆင့် Online ကလေ့လာရမှာဖြစ်ပြီး၊ Live Training တွေကို Record ပြန် Save ထားပေးမှာဖြစ်တဲ့အတွက် စာပြန်လေ့လာဖို့အတွက်လည်း စိတ်ပူစရာမလိုတော့ပါဘူး။
# # # 📚 **Course Outlines**
**Section 1: Introduction to Power BI & Business Intelligence**
* Understanding Business Intelligence (BI) in the Modern Data Era
* Role of BI in Corporations & Decision‑Making
* Overview of BI Tools & Why Power BI Is the Industry Standard
* Introduction to the Power BI Platform & User Interface
* Configuring Regional Settings & Application Preferences
* Understanding the Power BI Workflow (Report View, Data View, Model View)
**Section 2: Data Visualization Fundamentals in Power BI**
* Introduction to Power BI Report View
* Essential Visuals in Power BI: Bar/Column Charts, Line/Area Charts, KPIs, Cards & Gauge Visuals, Slicers & Filters, Maps, Scatter Charts, Treemaps, Waterfall Charts, Tables & Matrix Visuals
* Detecting Outliers with Visual Analytics
* Grouping, Binning & Histogram Techniques
* Applying Clustering Techniques
* Time Series Analysis Basics
**Section 3: Data Connections & Power Query Data Transformation**
* Understanding Power BI Data Connection Modes (Import, DirectQuery, Composite)
* Power Query’s Role in Data Cleaning & Transformation
* Why Raw Business Data Must Be Prepared
* Working with Text, Numeric & Date/Time Data
* Aggregation Using GROUP BY
* Creating Custom & Conditional Columns
* Auto‑generating CALENDAR Tables Using M‑Code Templates
* Data Source Settings, Privacy Levels & Permissions
* Understanding Data Types & Data Categories
**Section 4: Data Modeling Concepts & Best Practices**
* What Is Data Modeling & Why Is It Important?
* Data Normalization Principles
* Relational Modeling: Primary Keys & Foreign Keys
* Fact Tables vs Dimension Tables
* Relationship Types (One-to-Many, One‑to‑One, Many‑to‑Many)
* Cardinality & Cross‑Filtering Concepts
* Common Modeling Architectures (Star Schema, Snowflake Schema, Galaxy Schema)
* Best Practices for Building Clean, Efficient Models
**Section 5: Introduction to DAX (Data Analysis Expressions)**
* Purpose & Power of DAX in Power BI
* Measures vs Calculated Columns vs Calculated Tables
* Basic DAX Functions (Math, Stats, Logical)
* Using RELATED() for Relational Navigation
* Applying CALCULATE() with Modifiers (ALL, FILTER, ALLEXCEPT, etc.)
* Iterators & Row Context: SUMX, COUNTX, RANKX
* Time Intelligence Fundamentals (DATEADD, DATESYTD, DATESMTD, DATESBETWEEN, DATESINPERIOD)
**Section 6: Power BI Service, Sharing & Advanced Features**
* Introduction to Power BI Service (Cloud)
* Publishing, Sharing & Managing Dashboards
* Power BI Licensing (Free, Pro, Premium Per User, Premium Capacity)
* Scheduled Refresh & Gateway Configuration
* Embedding Power BI Reports in PowerPoint
* Row-Level Security (RLS): Static RLS, Dynamic RLS, Real‑World Case Studies
* Data Access Governance & Review Policies
* Storytelling with Reports & Dashboards
**Section 7: PL‑300 Exam Preparation**
* Full PL‑300 Certification Preparation
* Real Past Questions Explained & Discussed
* Exam Tips, Tricks & Time‑Management Strategy
* Additional Learning Guidance & Ongoing Support
**Section 8: Further Self‑Practice Projects**
* Hands‑On Portfolio Building
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သင်တန်းကို အခု အပ်မယ်ဆိုရင်တော့ -
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တို့ကို ပေးပို့ပြီး စာရင်းစသွင်းလို့ ရပါပြီခင်ဗျာ။
ဒါဆို အခုပဲ အမြန်ဆုံးအပ်ပြီး Nov 16 ရက်နေ့မှာ ပြန်ဆုံတွေ့ကြမယ်နော်…
# # # 👨🏫 **Instructor Profile: Mr. Thu Ta Naing**
* CFA Challenge Semi-Finalist (Thailand)
* Bangkok University (MBA, GPA 4.0)
* Gold Medal Awardee (Bangkok University)
* BSc (Hons) Business IT (First Class Honours)
* Global High-Achiever (World First) - NCC Education UK
* PL-300 Certified
