Data Analysis with Python, R, Power Query, and Power BI Training Course
Python, R, Power Query, and Power BI are powerful tools designed for managing, analyzing, and visualizing data effectively.
This instructor-led, live training (available online or onsite) is tailored for beginner-level professionals looking to clean and analyze data, perform statistical projections, and generate insightful visualizations using these platforms.
Upon completing this training, participants will be equipped to:
- Grasp the fundamentals of Python, R, Power Query, and Power BI for data analysis.
- Clean and organize datasets using Python and Power Query.
- Execute statistical analysis and projections using R.
- Develop 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.
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
- Fundamental understanding of statistics.
- Familiarity with spreadsheets and data entry.
- No prior programming experience is required.
Target Audience
- Business analysts.
- Data professionals.
- Project managers.
- Administrative staff.
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Data Analysis with Python, R, Power Query, and Power BI Training Course - Enquiry
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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