Excel for Analysis
Work with formulas, data cleaning, PivotTables, charts, and What-If Analysis to answer business questions.
Practical online courses designed to help you understand concepts, apply them to real problems, and build a portfolio of work you can demonstrate.
Build your knowledge one practical milestone at a time.
Start with the fundamentals, develop confidence through practice, and move toward applied work. Course availability, fees, and schedules can be added to each course listing.
Work with formulas, data cleaning, PivotTables, charts, and What-If Analysis to answer business questions.
Learn to retrieve, filter, join, aggregate, and analyze data with queries used in analytical workflows.
Build programming fundamentals, work with data, automate tasks, and progress toward useful applications.
Transform data into interactive reports, build measures, and communicate insights through visual analytics.
Combine spreadsheets, SQL, Python, and visualization to investigate practical business problems.
Progress from Python logic to conversational flows, interfaces, knowledge sources, and useful assistant prototypes.
Follow a recommended sequence rather than collecting disconnected courses. These are proposed paths and can be adjusted as the curriculum is finalized.
Build a strong foundation for working with data and answering business questions.
Move from basic programming concepts to data workflows and small usable applications.
Apply programming knowledge to a conversational tool with a defined purpose and audience.
Projects help learners connect concepts to real use cases. The examples below are proposed learning projects, not claims of completed client work.
Clean a sample dataset, analyze revenue and product performance, and present findings in a dashboard.
Use joins, aggregations, subqueries, CTEs, and window functions to answer customer questions.
Define a use case, design conversation logic, handle common inputs, and test responses.
Assessments should help participants identify what they know, where they need practice, and whether they can apply a skill independently.
Short quizzes to confirm understanding of core concepts.
Practical tasks that test whether learners can apply a technique.
Review the solution, logic, accuracy, clarity, and documentation against a rubric.
Identify strengths, gaps, and recommended next steps for continued learning.
The participant portal is a planned platform feature. It can be introduced after the course catalog and enrolment process are established.
Develop a project portfolio, practice explaining your work, prepare for interviews, and identify the next skills to build. Career support offerings will be defined as the training programs take shape.
DaltIQ Online Training aims to make technical learning structured, practical, and connected to real tasks. The focus is on understanding the why behind a concept, practicing the how, and using it to build something meaningful.
Build understanding step by step before moving to advanced topics.
Use small exercises to reinforce lessons instead of relying only on theory.
Apply skills to realistic scenarios and document the decisions behind the work.
Develop the ability to demonstrate, discuss, and improve your solutions.
Ask about a course, suggest a training requirement, or register your interest. This prototype form demonstrates the intended interaction and does not yet send information to a server.
Share your goal and we can help identify a suitable course or learning path as programs become available.