📚 COURSE DESCRIPTION
This foundational course enhances is designed to enhance your skills in handling, analyzing, and visualizing data efficiently with Excel and SPSS. Whether you’re a beginner or have intermediate knowledge, this training provides hands-on experience with techniques that allow you to manage large datasets, perform complex Computations, and empowering you to make data-driven decisions.
✅ LEARNING OUTCOMES
By the end of this course, you’ll be able to:
- master data entry technologies using SPSS and Excel
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master SPSS and Excel functions for data manipulation.
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develop efficient techniques for cleaning, validating and organizing large datasets.
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design professional charts and dashboards for reporting.
🎓 WHO SHOULD PARTICIPATE?
This training course is suitable to a wide range of professionals but will greatly benefit:
- Business Analysts
- Data Analysts
- Managers and Supervisors
- Accountants and Financial Analysts
- Professionals seeking to improve Excel and SPSS data handling skills
📌 ENROLLMENT DETAILS
- Start Date: Enroll anytime! Immediate access upon registration.
- Duration: Self-paced (average completion: 20 hours.
- Prerequisites: Basic understanding of descriptive statistics (mean, standard deviation).
- Tools Required: SPSS software (free trial available), and Excel.
- Enroll Now: Start Learning Today
💯 CERTIFICATION
THE CALL Info (THE CALL eAcademy) does not offer academic credit or industry certification. However, participants who complete all assignments and pass all quizzes may request a certificate of completion.
Course Features
- Lectures 15
- Quiz 0
- Duration 25 hours
- Skill level All levels
- Language English
- Students 1
- Assessments Yes
- 5 Sections
- 15 Lessons
- 25 Hours
- Module 1 - The Foundations of Data ManagementThis section establishes the "Data Management" framework. Learners understand the importance of data integrity, the "Garbage In, Garbage Out" principle. By the time you complete this lesson, you'll be able to: distinguish between data entry, management, and analysis, navigate the Excel and SPSS interfaces confidently, and identify appropriate data types and levels of measurement (Nominal, Ordinal, Scale).3
- Module 2 - Structured Data Entry & Acquisition3
- Module 3 - Data Cleaning & Transformation3
- Module 4 - Exploratory Data Analysis & Descriptive Statistics3
- Module 5: Data Visualization & Reportingfinal step of the lifecycle. Learners transform their findings into professional reports and dashboards that drive action. By the time you complete this lesson, you'll be able to: build interactive dashboards using Slicers and Pivot Charts in Excel, customize SPSS output tables and charts for publication, and export results to Word or PowerPoint for final reporting.3
