Data Analysis with Python, R and Power BI Training in Thimphu, Bhutan

This training provides a comprehensive guide to data analysis using powerful tools and programming languages, including Python, R, Power Query, and Power BI. Participants will learn how to manipulate, analyze, and visualize data efficiently to generate insights and support data-driven decision-making.

Foundations of Data Analysis with Python and R

• Session 1: Introduction to Python for Data Analysis

  • Python setup, IDEs, and basic syntax.
  • Introduction to Pandas and NumPy.
  • Data cleaning and exploration techniques.

• Session 2: Introduction to R for Data Analysis

  • R setup, RStudio, and basic syntax.
  • Data manipulation using dplyr and tidyr.
  • Data visualization with ggplot2.

• Session 3: Data Exploration Case Study

  • Combining Python and R for comprehensive analysis.
  • Hands-on practice with real-world datasets.

Data Preparation with Power Query

• Session 4: Introduction to Power Query

  • Power Query interface and navigation.
  • Connecting to data sources (Excel, databases, etc.).
  • Data transformation techniques: merging, appending, and unpivoting.

• Session 5: Advanced Data Modeling in Power Query

  • Conditional columns, grouping, and aggregation.
  • Optimizing queries for large datasets.
  • Best practices for efficient data preparation.

• Session 6: Practical Application

Visualization and Integration with Power BI

• Session 7: Power BI Fundamentals

  • Power BI interface, workspace, and setup.
  • Importing and modeling data from Power Query.
  • Creating basic visualizations and charts.

• Session 8: Advanced Power BI Features

  • Designing interactive dashboards and reports.
  • Using DAX for calculated columns and measures.
  • Publishing and sharing dashboards.
• Hands-on Exercises

This course equips participants with the knowledge and tools needed to tackle data analysis challenges and deliver actionable insights in their organizations.