Many students start their projects in Excel or SPSS with confidence, only to realize halfway through that the tools are more complicated than expected. Advanced formulas, pivot tables, or statistical tests can quickly become confusing, especially under pressure from deadlines. Our Academic Support in Advanced Excel & SPSS is designed to take away that stress.
We guide you patiently through each step, whether you’re building dashboards in Excel or running analysis in SPSS, so your work is clear, accurate, and academically strong. With our support, you’ll feel more confident preparing your project and build skills that you can actually use beyond your studies.
Our Advanced Excel & SPSS support is ideal for :
Bachelor’s students completing assignments or projects with data analysis requirements.
Master’s students preparing dissertations that involve statistical testing and data interpretation.
MBA students analysing case studies in finance, marketing, HR, and operations using data-driven approaches.
Researchers and professionals working with survey data, business data, or experimental data requiring advanced analytics.
Advanced Excel Functions : – Guidance on formulas, pivot tables, conditional formatting, what-if analysis, and data modelling.
Excel Dashboards & Automation : – Mentoring in designing interactive dashboards and using macros for automation.
Introduction to SPSS : – Support in data entry, coding variables, and dataset preparation.
Descriptive & Inferential Statistics in SPSS : – Tutorials in running tests such as regression, correlation, t-tests, ANOVA, and chi-square.
Survey Data Analysis : – Guidance in cleaning, analysing, and interpreting survey-based data.
Academic Reporting : – Support in exporting outputs, interpreting results, and structuring reports aligned with academic standards.
Microsoft Excel (Advanced functions, Pivot Tables, Dashboards, Macros).
SPSS (Descriptive and Inferential Statistics, Reliability & Validity Testing).
Add-ons: Power Query & Power Pivot (for Excel-based data models).
Visualization tools for presenting results (Excel Charts, SPSS Outputs).
Timeline : 1 Week
Scope & Features :
What Includes :
✅ Dataset review and basic cleaning support.
✅ Guidance on Excel functions and simple charts.
✅ Tutorials in running basic SPSS tests with interpretation.
✅ Mentoring in preparing a short report (up to 2,500 words).
✅ One round of feedback/revisions.
Timeline : 2 – 3 Weeks
Scope & Features :
What Includes :
✅ Support in data preparation, pivot tables, and advanced Excel functions.
✅ Tutorials in interpreting SPSS outputs in academic style.
✅ Guidance in developing an academic report (up to 5,000 words).
✅ Mentoring in building Excel dashboards and charts.
✅ Two rounds of feedback/revisions.
Timeline : 4 – 6 Weeks
Scope & Features :
What Includes :
✅ Tutorials in complex Excel models (dashboards, financial/operational models).
✅ Mentoring in advanced SPSS techniques .
✅ Support in preparing a dissertation-level report (up to 12,000 words).
✅ Guidance in developing presentation slides for submission and viva.
✅ Up to three rounds of feedback/revisions.
Requirement Gathering – Share your assignment or project details.
Customized Support Plan – We create a clear roadmap tailored to your dataset and academic requirements. Data Preparation & Analysis – Guided support in Excel/SPSS for calculations and statistical testing.
Review & Feedback – You prepare drafts; we review and suggest improvements.
Draft Submission & Feedback – You prepare drafts; we provide review and suggestions.
Final Stage – Tutorial support in structuring your report or dissertation chapter so it is submission-ready under your authorship.
Clean and well-structured datasets, prepared with your involvement. Statistical test outputs from SPSS explained step by step..Interactive Excel dashboards and models created with mentoring.Guidance in developing your academic report or dissertation chapter.Presentation slides prepared with tutorial support (if required).Confidence in plagiarism-free and original work aligned with academic standards.
Experienced mentors in statistics, research, and analytics.Hands-on expertise in both Excel and SPSS.Step-by-step guidance designed for academic success.Timely delivery with milestone-based mentoring.Support for Bachelor’s, Master’s, MBA, and research-level projects.
Improved understanding of business frameworks and case study analysis.Timely submission of assignments without compromising quality.Practical knowledge that can be applied in internships or jobs.Higher academic performance and stronger grades.
What kind of statistical tests can I perform in SPSS for my academic project?
SPSS allows you to perform a wide range of statistical tests depending on your research objectives and dataset type. These include descriptive statistics (mean, median, standard deviation), correlation analysis (Pearson and Spearman), regression models (simple, multiple, and logistic regression), hypothesis testing (t-tests, chi-square tests, and ANOVA), and more advanced methods such as factor analysis, cluster analysis, and reliability testing (Cronbach’s Alpha). We provide tutorial support in choosing the right test, running it correctly in SPSS, and interpreting the output in academic language so that you understand how to apply it in your project.
How do you support students in building advanced models in Excel?
Beyond basic functions, Excel can be a powerful tool for building models that support academic projects. We mentor you in using advanced formulas such as VLOOKUP, INDEX-MATCH, and array formulas, as well as applying data analysis tools like Solver, Scenario Manager, and What-If Analysis. For research projects, we guide you step by step in developing forecasting models, regression analysis, and designing interactive dashboards with slicers and pivot charts. Our tutorials also cover automation through macros and VBA, ensuring that you not only finish your project but also learn transferable skills.
Can SPSS be used for analysing survey data, and how do you ensure accurate interpretation?
Yes, SPSS is highly effective for analysing survey-based research, especially when working with questionnaires and large respondent datasets. We guide you in coding variables, handling missing responses, and applying techniques like cross-tabulation, chi-square tests, and correlation to explore relationships between variables. For advanced survey analysis, we also support you in applying factor analysis to identify patterns or regression to test hypotheses. Importantly, we explain the outputs in academic terms so that you can connect the results with your research objectives and prepare your own interpretation.
How do you ensure that Excel dashboards or SPSS outputs meet academic standards?
Academic projects require not just technical accuracy but also clear and professional presentation. We guide you in creating structured Excel dashboards with appropriate labels, formatting, and interactive features. In SPSS, we support you in formatting outputs, exporting tables, and embedding charts into your report or dissertation correctly. We also show you how to reference and discuss these outputs so that your work is academically credible and aligned with your university’s standards.
How do you help students choose between Excel and SPSS for their analysis?
The choice between Excel and SPSS depends largely on your dataset and research goals. Excel is often best for smaller, business-focused datasets where advanced calculations, modelling, and visualization are needed. For larger datasets or complex statistical requirements, SPSS is usually more appropriate due to its specialized functions and automated reporting features. In some cases, using both can be the most effective approach. Our mentors evaluate your project requirements and guide you in applying the right combination of tools to ensure accuracy, efficiency, and academic rigor.
