Data Analysis with Python, R, Power Query, and Power BI Training Course
Python, R, Power Query, and Power BI serve as powerful, versatile tools for managing, analyzing, and visualizing data.
Designed for beginners, this instructor-led live training (available online or onsite) equips professionals with the skills to clean and analyze data, perform statistical forecasting, and generate insightful visualizations.
Upon completing this training, participants will be able to:
- Grasp the fundamentals of Python, R, Power Query, and Power BI in the context of 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 diverse sources.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Customization Options
- To arrange customized training for this course, please contact us directly.
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)
Method of training.
Ineshia Bilankulu - National Transmission Company South Africa
Course - Power BI: Basics to Advanced
- Building dashboards - Learning the counts and SUMs and SWITCH -
Thereso - South African National AIDS Council Trust
Course - Power BI Dashboards
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