Data Analysis with Python, R, Power Query, and Power BI Training Course
Python, R, Power Query, and Power BI serve as powerful instruments for handling, examining, and visualizing data.
This guided, live training (available online or at your location) targets professionals at the beginner level who want to learn how to clean and analyze data, forecast statistical trends, and generate meaningful visual representations using these tools.
Upon completing this training, attendees will be capable of:
- Gaining foundational knowledge of Python, R, Power Query, and Power BI for data analysis.
- Cleaning and organizing datasets using Python and Power Query.
- Executing statistical analysis and forecasting with R.
- Developing professional dashboards and reports using Power BI.
- Effectively integrating and analyzing data from various sources.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical application.
- Practical implementation in a live laboratory setting.
Customization Options
- To arrange customized training for this course, please reach out to 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 previous programming experience is necessary
Target 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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