Course Outline
Subject: Power Query and Power Pivot
09:00–10:30 – Introduction to Power Query
- What is Power Query and how it works
- Importing data from various sources (Excel, CSV, Web, databases)
- Navigating the Power Query interface
10:30–10:45 – Break
10:45–12:00 – Data Cleaning and Transformation
- Removing null values, filtering, sorting
- Splitting and combining columns
- Data type transformations
- Saving and reloading data into Excel
12:00–13:00 – Lunch Break
13:00–14:30 – Introduction to Power Pivot
- Enabling Power Pivot
- Creating data models
- Relationships between tables
14:30–14:45 – Break
14:45–16:15 – Calculated Columns and Measures with DAX
- Basic DAX functions
- Calculated columns vs. measures
- DAX formula examples
16:15–17:00 – Advanced Pivot Tables with Power Pivot
- Using the data model in Pivot Tables
- Multi-table analyses
- Practical exercises
Subject: Advanced Pivot Tables and Analysis Tools
09:00–10:30 – Advanced Pivot Tables
- Calculated fields and items
- Advanced grouping and filtering
- Relationships between Pivot Tables
10:30–10:45 – Break
10:45–12:00 – Slicers and Timelines
- Creating and customising slicers
- Using timelines for calendar data
- Interactivity and simple dashboards
12:00–13:00 – Lunch Break
13:00–14:30 – Data Analysis Tools
- Consolidating data from multiple sources
- What-If Analysis: Goal Seek and Scenario Manager
- Applied examples
14:30–14:45 – Break
14:45–16:15 – Solver Add-in
- Enabling and configuring Solver
- Solving optimisation problems
- Examples: resource allocation, profit maximisation
16:15–17:00 – Review and Q&A Session
- General review
- Questions and clarifications
Requirements
Good knowledge of Excel (intermediate level)
Testimonials (7)
the care with which he explained
Lucian Bogdan - Siemens Sibiu
Course - Excel - Power Query - Analiza si Automatizarea datelor
Machine Translated
teaching method
cristi farago - Siemens Sibiu
Course - Excel - Power Query - Analiza si Automatizarea datelor
Machine Translated
The final slide, with PowerPivot and the graphical representation, I liked the most, probably because that's where the usefulness of the entire course was visible.
Acsente Marius Banica - Siemens Sibiu
Course - Excel - Power Query - Analiza si Automatizarea datelor
Machine Translated
The connection between the trainer and the audience + the variety of exercises
Ioan Calin Coman - Siemens Sibiu
Course - Excel - Power Query - Analiza si Automatizarea datelor
Machine Translated
Patience and attention of the trainer
Simona Bicu
Course - Excel Analiza si Automatizarea datelor
Machine Translated
The explanations were very good, and the examples helped to understand the course very well.
BAN CARMEN
Course - Excel Analiza si Automatizarea datelor
Machine Translated
Tips * tricks; the ease for explanatios