Home » Data Analytics with Python
Data Analytics with Python
August 13, 2024
Jadwal Pelatihan Data Analytics with Python
| Tanggal | Tempat | Kota | | Belum ada jadwal terbaru |
OVERVIEW
Data Analytics with Python in Power BI is the practice of using the Python programming language within Microsoft Power BI, a powerful business intelligence and data visualization tool. This instructor-led, live training (onsite) is aimed atexpert-level data analysts who wish to leverage Python’sdata analysis capabilities within Power BI, enhancing theirability to analyze and visualize data effectively.
OUTLINE
1. Overview of Data Analytics
- Overview dan Tools Data Analytics
- Overview of Data Analytics with Python in Power BI
- Introduction to Python scripting in Power BI
- Installing Python packages for Power BI
- Connecting Power BI to data sources
2. Data Preparation
- Data Bisnis dan Akuntansi
- Transformasi Data untuk Data Analyst
- Data Preparation with Python
- Data loading and transformation using Pythonscripts
- Data cleaning and preprocessing techniques
- Handling missing data with Python in Power BI
3. Data Visualization
- Analisis dan Visualisasi Data
- Data Visualization with Python
- Creating basic visualizations with Python
- Customizing charts and graphs using Python scripts
- Interactive data visualization with Python
4. Advanced Data Analysis with Python
- Introduction to Pandas for data manipulation
- Performing advanced data analysis tasks using Python
- Aggregating and summarizing data with Python scripts
5. Time Series Analysis with Python
- Analyzing time series data in Power BI with Python
- Time-based calculations and forecasting using Python
- Visualizing time series data trends
6. Statistical Analysis with Python
- Statistical analysis techniques using Python in Power BI
- Hypothesis testing and A/B testing
- Incorporating statistical results into reports
7. Machine Learning Integration in Power BI
- Introduction to machine learning in Power BI
- Building and deploying machine learning models with Python
- Using Python libraries like scikit-learn for predictive analytics
8. Geospatial Analysis with Python
- Geographic data visualization and mapping
- Performing geospatial analysis using Python
- Creating custom maps and location-based insights
9. Integration with External APIs and Web Data
- Fetching data from external APIs using Python
- Web scraping and data extraction
- Incorporating external data sources into Power BI reports
10. Study Case
TRAINING METHOD
Pre Test
Presentation
Discussion
Case Study
Post Test
Evaluation
FACILITIES
Training Kit
Handout
Certificate
1x Lunch & 2x Coffee Break
Souvenir
