Course Introduction:
This course, titled Excel Data Analysis Full Course, is a comprehensive training program designed to develop learners’ abilities to analyze, summarize, and visualize data effectively using Microsoft Excel. Throughout the course, students will explore essential tools such as table formatting, conditional functions, data visualization, and analytical features that help transform raw information into meaningful insights. It is tailored for Excel users who want to build a strong foundation in data analytics, regardless of whether they are beginners or intermediate-level users.
Course Duration and Modules:
This course consists of four high-quality, full-length training videos with a combined total duration of:
• Excel Intro to Data Analysis Tutorial: 1 hour 22 minutes 57 seconds
• Excel Power User Tutorial: 2 hours 30 minutes 28 seconds
• Excel Pivot Tables Tutorial: 2 hours 22 minutes 16 seconds
• Excel Copilot Tutorial: 57 minutes 51 seconds
📌 Total Exact Video Duration: 7 hours 13 minutes 32 seconds
Overall Duration Recommendation: Designed to be completed over 3–4 weeks.
Total Learning Hours: Approximately 30–35 learning hours, including hands-on practice.
Weekly Commitment: 8–10 hours per week.
Pacing: Fully self-paced, allowing students to manage learning according to their schedule.
Course Modules (Video Titles):
- Excel Intro to Data Analysis Tutorial
- Excel Power User Tutorial
- Excel Pivot Tables Tutorial
- Excel Copilot Tutorial
Learners are recommended to begin with the Intro to Data Analysis module, continue with the Power User and Pivot Tables modules, and complete the program with the Excel Copilot module to achieve a modern, AI-supported analytical workflow.
Course Presenter:
This course is presented by Learn Skills Daily, an established professional training provider recognized for its practical, demonstration-based teaching style. Learn Skills Daily has extensive experience in Microsoft Excel, data analytics, and digital productivity. The teaching approach focuses on clarity, hands-on examples, and real-world applications, ensuring learners can immediately apply what they learn.
Course Certificate:
Upon successful completion of the course, students will receive the Qalam Scholar Certificate, an internationally recognized credential that includes a barcode verification system for secure and authentic validation. This certificate enhances learners’ credibility and supports national and international employment opportunities.
Learning Objectives:
By the end of this course, students will be able to:
- Apply data formatting, cleanup, and preparation techniques in Excel.
- Use conditional functions to summarize and analyze complex datasets.
- Create effective charts and visualizations for decision-making.
- Build and customize PivotTables for advanced data insights.
- Utilize Excel’s analytical tools to interpret large sets of information.
- Integrate AI-powered Excel Copilot features for enhanced productivity.