Materi Pembelajaran Power Query
🔰 Tingkat Pemula
Dasar-dasar Power Query untuk pemula
- Apa Itu Power Query Excel? Pengertian dan Cara Kerjanya [2025]
- 5 Keunggulan Power Query Dibanding Manual Data Processing
- Cara Mengaktifkan Power Query di Excel 2025
- Interface Power Query Editor: Memahami Ribbon dan Panel
- Cara Import Data dari Excel File ke Power Query
- Import Data dari CSV dan Text Files
- Membuat Koneksi ke Folder dengan Power Query Filter Data Sederhana di Power Query Editor
- Sorting Data di Power Query untuk Pemula
- Remove Columns dan Keep Columns
- Mengubah Tipe Data Column (Text, Number, Date)
- Replace Values di Power Query
- Split Column by Delimiter
- Merge Columns untuk Gabungkan Data
- Duplikat dan Add Column Custom
- Group By Operations Sederhana
- Pivot dan Unpivot Columns
- Fill Down dan Fill Up
- Remove Duplicates di Power Query
- Membuat Conditional Columns
- Menggunakan First Row as Headers
- Mengubah Nama Columns
- Basic Text Transformations
- Number Rounding dan Formatting
- Date Transformations Sederhana
- Membuat Calculated Columns
- Load Data ke Excel Worksheet
- Refresh Query Manual dan Otomatis
- Menyimpan dan Membuka Power Query Files
- Contoh Kasus: Clean Data Penjualan
- Contoh Kasus: Transform Data Karyawan
- Import Data dari Multiple Sheets
- Append Queries untuk Gabungkan Data
- Merge Queries dengan Inner Join
- Left Outer Join untuk Data Matching
- Membuat Parameter Sederhana
- Error Handling Dasar
- Menggunakan Applied Steps
- Manage Columns dengan Smart Ways
- Transform Column Types in Bulk
- Membuat Date Table Sederhana
- Basic Aggregation Functions
- Conditional Logic dengan IF Statements
- Text Cleaning Functions
- Number Formatting Standards
- Date Extraction (Year, Month, Day)
- Membuat Laporan Sederhana
- Best Practices untuk Pemula
- Common Mistakes dan Solusinya
📈 Tingkat Menengah
Teknik Power Query untuk pengguna aktif
- Advanced Filtering dengan Multiple Conditions
- Custom Columns dengan M Language Parameterization untuk Dynamic Queries
- Advanced Merge Operations
- Fuzzy Matching untuk Data Cleaning
- Group By dengan Multiple Aggregations
- Pivot/Unpivot Advanced Techniques
- Custom Functions di Power Query
- Error Handling dengan Try/Otherwise
- Conditional Merge Operations
- Working with JSON dan XML Data
- Web Scraping dengan Power Query
- API Integration Basics
- Advanced Text Extraction
- Pattern Matching dengan Regular Expressions
- Custom Date/Time Calculations
- Hierarchical Data Transformations
- Working with Nested Tables
- Advanced Data Type Handling
- Custom Sort Orders
- Dynamic Column Selection
- Query Folding Optimization
- Performance Tuning Techniques
- Memory Management Best Practices
- Advanced Parameter Types
- Custom Interface dengan Parameters
- Template Queries Development
- Error Logging dan Monitoring
- Data Validation Rules
- Advanced Data Cleansing Patterns
- Custom Connectors Development
- ODBC dan SQL Server Connections
- Database Query Optimization
- Incremental Data Loading
- Change Data Capture Techniques
- Data Lineage dan Impact Analysis
- Query Dependency Management
- Advanced M Language Patterns
- List.Generate untuk Sequences
- Record dan Table Transformations
- Custom Iterators Development
- Error Recovery Strategies
- Data Compression Techniques
- Parallel Processing Concepts
- Custom Data Source Development
- Advanced Web Connectors
- OAuth Authentication Flows
- REST API Advanced Integration
- Custom Pagination Handling
- Data Encryption Techniques
🚀 Tingkat Expert
Teknik lanjutan dan enterprise solutions
- Custom Data Connectors Development
- M Language Compiler Optimizations
- Advanced Query Folding Patterns
- Distributed Processing Techniques
- Real-time Data Streaming dengan Power Query
- Machine Learning Integration
- Natural Language Processing Pipelines
- Blockchain Data Integration
- IoT Data Stream Processing
- Big Data Connectors Development
- Custom GPU Acceleration
- Quantum Computing Data Preparation
- AI-Powered Data Transformation
- Predictive Analytics Pipelines
- Anomaly Detection Systems
- Real-time Fraud Detection
- Multi-language Data Processing
- Image dan Video Data Extraction
- Audio Processing Pipelines
- Geospatial Data Transformations
- Time Series Forecasting Models
- Neural Network Data Preparation
- Custom Cryptographic Functions
- Data Masking dan Tokenization
- Advanced Compression Algorithms
- Custom Serialization Formats
- Distributed Cache Integration
- Multi-tenant Data Architecture
- Data Mesh Implementation
- Data Fabric Integration
- Blockchain Smart Contract Data
- Quantum-resistant Cryptography
- Federated Learning Data Prep
- Edge Computing Data Flows
- 5G Network Data Processing
- Satellite Data Integration
- Autonomous Systems Data Pipelines
- Digital Twin Data Management
- Metaverse Data Integration
- AR/VR Data Processing
- Brain-Computer Interface Data
- Genomic Data Processing
- Quantum Machine Learning Data
- Swarm Intelligence Data Flows
- Multi-dimensional Data Processing
- Temporal Data Management
- Graph Data Transformations
- Semantic Web Data Integration
- Knowledge Graph Construction
- Cognitive Computing Pipelines