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Agustus 2024 Bandung Perbankan & Koperasi

Data Analytics with Python

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

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	Data Materi Training
Topik Training	: Data Analytics with Python
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