Analyzing and Visualizing data Using Microsoft Power BI

DESKRIPSI Microsoft Power BI adalah software intelligence bisnis besutan Microsoft yang memungkinkan Anda untuk mengolah data lebih detail dan menampilkannya dengan grafis yang lebih interaktif. Microsoft Power BI dapat memvisualisasikan data yang telah Anda masukkan atau data yang sudah terkoneksi oleh sistem ketiga dan juga dapat mengontrol dan memantau data dengan mudah. Microsoft Power BI mengusung 3 konsep kerja dalam menganalisa data seperti Dashboard, Report, dan Datasets. Datasets merupakan kumpulan data yang diimport atau dikoneksikan pada Power BI. Sedangkan Report adalah satu atau lebih dari halaman visualisasi. Repot bisa berupa chart atau grafik, dan Dashboard sendiri adalah tampilan integrasi yang menampilkan sekumpulan report dari sekumpulan dataset. Dashboard memberikan informasi data, analisa, serta memberikan gambaran dalam bentuk single visualisasi dashboard. OUTLINE MATERI 1. Introduction to Power BI

• What is Power BI
• Power BI Desktop; The First Experience
• Introduction to Power BI Components: Power Query, Power Pivot, Power View, Power Map and Power Q&A

2. Pengenalan Power BI

• What is Power Query
• Get Started with Power Query
• Power BI Get Data from Excel: Everything You Need to Know
• Definitive Guide to Power BI Personal Gateway
• File Sources
• Folder as a Source
• Database Sources
• Analysis Services Connection

3. Data Visualization with Power BI

• Data Visualization Best Practices
• Power BI Desktop Visualization
• Custom Visuals in Power BI Desktop
• Formatting Visuals in Power BI Desktop
• Power View for Excel
• Charts, Scorecards, and Other Visualization items in Power View
• Sorting, Filtering and Categorization with Power View
• Best Practices to Work with Power View
• 3D Geospatial Visualization with Power Map

4. Power Query for Data Transformation

• Installation, Requirements and Configuration
• Different Versions of Power Query
• Power Query Introduction
• Query Editor
• Transformation GUI
• Row Transformations
• Column Transformations
• Data Type
• Adding Column
• Text Transformations
• Number Column Calculations
• Date and Time Calculations
• Data Types, Lists, Records, and Tables in M
• M built-in Functions
• Generators in M
• Writing Custom Functions
• Error Handling
• Advanced Data Transformations with M

5. Power Pivot for Data Modelling

• Power Pivot xVelocity Engine Basics and Concepts
• Different Versions of Power Pivot
• Relationships in Power Pivot
• Best Practices
• Introduction to DAX
• Calculated Members
• Row Context vs Set Context
• Advanced Calculations using Calculate Functions
• Time Functions
• DAX Advanced
• Power Pivot Embedded in Power BI Desktop
• Different Versions of Power Map
• Best Practices to Work with Power Map

6. Power BI Desktop; Combination of Three Tools

• Power BI Desktop Introduction
• Getting Data from Different Data Sources
• Differences of Power Query Stand-alone with Power Query in Power BI Desktop
• Modeling Data, and Relationships
• Creating Calculated Measures
• Power Pivot Difference in Power BI Desktop
• Visualizing Data in Power BI Desktop
• Power View Difference in Power BI Desktop
• Best Practices of Designing Solutions with Power BI
• Custom Visuals for Power BI Desktop

TRAINING METHOD Presentation Discussion Case Study Evaluation FACILITIES Training Kit Handout Certificate Lunch + 2x Coffee Break Souvenir Pick Up Participant (Jogja only) PELATIHAN LAINNYA