Data Analysis with Python, R, Power Query, and Power BI Training Course
Python, R, Power Query, and Power BI are powerful tools for managing, analyzing, and visualizing data.
This instructor-led, live training (available online or on-site) is designed for beginners who want to clean and analyze data, make statistical projections, and create insightful visualizations using these tools.
By the end of 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 with Python and Power Query.
- Conduct statistical analysis and projections using R.
- Create professional dashboards and reports with Power BI.
- Efficiently integrate and analyze data from multiple sources.
Course Format
- Interactive lectures and discussions.
- Plenty of exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Customization Options for the Course
- To request a customized training session, 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)
The subject was taught in an engaging way, making me want to learn more.
kgotla Moncho - Martin Engineering Africa
Course - PL-300T00: Microsoft Power BI Data Analyst
The coding and analysis, how the information come together in a report which will be useful for my work
Nokuthula Dhludhlu - National Transmission Company South Africa
Course - Analyzing Data with Power BI
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