Data Analysis with Python, R, Power Query, and Power BI Training Course
Python, R, Power Query, and Power BI are adaptable tools for managing, examining, and visualizing data.
This instructor-led, live training (available online or at your location) targets beginner-level professionals who want to clean and analyze data, make statistical forecasts, and generate insightful visualizations using these tools.
Upon completing this training, participants will be able to:
- Grasp the fundamentals of Python, R, Power Query, and Power BI for data analysis.
- Clean and organize datasets using Python and Power Query.
- Conduct statistical analysis and forecasting using R.
- Design professional dashboards and reports with Power BI.
- Effectively integrate and analyze data from various sources.
Format of the Course
- Interactive lectures and discussions.
- Ample exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Data Analysis Tools
- Overview of Python, R, Power Query, and Power BI
- Applications of data analysis across industries
- Setting up the tools and environment
Data Cleaning and Preparation
- Using Python libraries (Pandas) for data cleaning
- Data cleaning and transformation with Power Query
- Handling missing data and inconsistencies
Statistical Analysis with R
- Basic statistical functions and data manipulation in R
- Exploratory data analysis
- Building and interpreting statistical models
Data Integration and Transformation
- Combining data from multiple sources with Power Query
- Integrating Python and R workflows with Power BI
- Ensuring data consistency and quality
Visualizing Data with Power BI
- Creating dynamic dashboards and visualizations
- Using Power BI to identify trends and insights
- Sharing and publishing reports
Applications and Industry Case Studies
- Real-world case studies in data analysis
- Developing workflows for common industry scenarios
- Hands-on project to consolidate learning
Summary and Next Steps
Requirements
- Basic understanding of statistics
- Familiarity with spreadsheets and data entry
- No prior programming experience required
Audience
- Business analysts
- Data professionals
- Project managers
- Administrative staff
Open Training Courses require 5+ participants.
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Testimonials (2)
How to use relationships in Power BIand the differences between columns and measurements
LEUNG Chun Hei - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics
Method of training.
Ineshia Bilankulu - National Transmission Company South Africa
Course - Power BI: Basics to Advanced
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