AI & Data Science

Data Insights with Microsoft Power Query

Unlocking Data Insights with Microsoft Power Query

Workload: 320 hours Topics: Data Analysis and Visualization Tools
Initial Registration โ€” 80 EUR This initial payment is credited toward tuition. Program-specific discounts may apply.
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Program overview

The "Data Insights with Microsoft Power Query" course is designed to equip participants with the essential skills to harness the power of data transformation and analysis using Microsoft Power Query. This hands-on program emphasizes practical applications, enabling learners to navigate the intricacies of data manipulation, cleansing, and visualization effectively. Participants will engage in project-based learning, allowing them to apply their knowledge in real-world scenarios and publish their findings in Cademix Magazine, enhancing their professional portfolio.
Throughout the course, learners will explore a comprehensive syllabus that covers critical aspects of data analysis. By the end of the program, participants will have developed a robust understanding of Power Query's functionalities, empowering them to derive actionable insights from complex datasets. This course is ideal for those looking to advance their careers in data science, analytics, or related fields.
Introduction to Microsoft Power Query Interface
Connecting to Various Data Sources (Excel, CSV, Databases)
Data Transformation Techniques (Merging, Appending, and Filtering)
Data Cleansing Best Practices (Handling Missing Values, Duplicates)
Creating Custom Columns and Calculated Fields
Utilizing Advanced Query Functions (Grouping, Pivoting)
Data Loading and Integration with Power BI
Visualizing Data Insights with Power Query
Performance Optimization Techniques for Queries
Final Project: Develop a Comprehensive Data Analysis Report using Power Query

Learning goal

To empower participants with the skills to analyze and visualize data effectively using Microsoft Power Query, enabling them to make data-driven decisions.

Target group

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Prerequisites

Basic understanding of data analysis concepts and familiarity with Microsoft Excel.

Format and certification

Teaching method: Project-based, interactive learning with opportunities for publishing results.

Certificate: Certificate of Attendance and Certificate of Expert issued by Cademix Institute of Technology.

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Cademix Institute of Technology e.U.Continuing Education ยท Professional Development ยท Austria