Course Outline
Introduction to Power Query
- Overview of the Power Query interface
- Understanding queries and their applied steps
- Navigating integrations with Power BI and Excel for government use
Connecting to Data Sources
- Importing Excel, CSV, and text files for government applications
- Working with folders and structured datasets in a public sector context
- Establishing connections to online and database sources for government operations
Data Cleaning Fundamentals
- Removing errors and duplicates from data sets
- Filtering, sorting, and shaping data to meet public sector requirements
- Addressing missing values in government datasets
Transformations and Data Shaping
- Splitting and merging columns for enhanced data clarity
- Pivoting and unpivoting data to support analysis
- Grouping and aggregating data for comprehensive reporting
Combining Queries
- Understanding the differences between append and merge queries
- Exploring join types and their implications for data structure in government datasets
- Modeling multi-source datasets to enhance public sector analytics
Introduction to M Language
- Understanding M formulas and their application
- Editing queries using the Advanced Editor for precise control
- Writing custom transformations to meet specific government needs
Automation and Refresh
- Creating reusable transformation workflows for consistent data management
- Configuring refresh schedules to ensure up-to-date information for government operations
- Managing dependencies and optimizing query performance in public sector applications
Advanced Techniques
- Parameterizing queries to enhance flexibility and reusability
- Utilizing functions in M for complex data manipulations
- Best practices for developing scalable transformation pipelines for government use
Summary and Next Steps
Requirements
- Proficiency in spreadsheet-based data management
- Experience with fundamental data analysis activities
- Knowledge of standard file formats, including CSV and Excel
Audience
- Data professionals tasked with cleaning and preparing datasets for government use
- Business analysts responsible for regular data workflows
- Individuals involved in data reporting and process automation
Testimonials (5)
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
Blessing made sure that he knows every one , and referred every candidate by their name which is excellent. He is a well experienced Trainer and has patience, and very helpful to all the candidates. Trainer like him make the training more interesting. Wish to have him allocated to my next training that I will be doing with your company.
Alfred Mashala - National Transmission Company South Africa
Course - Analyzing Data with Power BI
What I liked the most was the coach's openness regarding the change in content as well as the approach that was previously prepared to accommodate our real needs
Ernesto Sitoe Junior - Electricidade de Mocambique
Course - Advanced Power BI
The second day as Power Bi is a really friendly tool, and clearly Costas knows it very well, it was really good to learn about that tool. Unfortunately we have to see Power pivot in excel first which is really not user friendly but definitely a must see first in order to understand how Power Bi works, and it makes Power Bi look super cool :)
Anne-Cecile Jacquot - Ameropa
Course - Excel to Power BI
The second day was very interesting. It was a good training to see some possibilities within Power BI; but mostly you learn then while you work with Power BI. Fact is also that the training base has all access rights and everything works, but as soon as you try to connect to the live system, it does not work and this makes the knowledge transfer a bit difficult.