Build Data Analytics Learning Platform

DataAnalyticsPath.tech — Website Development Requirements
1. Project Overview
Website Name: Data Analytics Path
Domain: dataanalyticspath.tech
Website Type: Educational and informational website focused on Data Analytics skills and workflows.
Project Objective
Develop a modern, responsive, SEO-friendly educational website that guides learners through the complete Data Analytics process, from collecting and cleaning data to analysing information, building dashboards, and communicating business insights.
The website should help beginners and working professionals learn practical analytical skills, follow structured learning paths, practise through projects, and understand how analytics tools are applied in real business scenarios.
The architecture should support future expansion through additional tutorials, projects, tool guides, and career resources.
2. Target Audience
The website should serve:
• Beginners starting their Data Analytics journey.
• College students and recent graduates.
• Working professionals upgrading their analytical skills.
• Excel and spreadsheet users moving into advanced analytics.
• Aspiring Data Analysts and Business Intelligence Analysts.
• Business professionals who want to make data-driven decisions.
3. Website Navigation and Structure
The primary navigation should include:
• Home
• Topics / Learning Paths
• Tutorials
• Projects / Resources
• Blog
• About Us
• Contact
Proposed website structure
Home
• Introduction to Data Analytics Path.
• Overview of the Data Analytics learning journey.
• Featured learning paths.
• Key analytical tools and technologies.
• Featured tutorials and practical projects.
• Dashboard and reporting examples.
• Business Intelligence resources.
• Latest blog articles.
• Clear calls to action directing users to relevant learning resources.
Topics / Learning Paths
Organise content into these categories:
1. Data Analytics Fundamentals.
2. Excel and Spreadsheets.
3. SQL and Databases.
4. Data Collection and Preparation.
5. Data Cleaning and Transformation.
6. Exploratory Data Analysis.
7. Data Visualization.
8. Power BI.
9. Tableau.
10. Business Intelligence.
11. Dashboard Design and Reporting.
12. Business Analysis and Data Storytelling.
13. Analytics Projects and Portfolio Development.
Each topic should link to related tutorials, exercises, and projects.
Tutorials
• Excel formulas, functions, PivotTables, and reporting.
• SQL queries, joins, aggregations, and window functions.
• Data cleaning and transformation.
• Power Query and data preparation.
• Power BI data modelling, DAX, and dashboards.
• Tableau visualizations and dashboards.
• Business reporting and analytical workflows.
Projects / Resources
• Beginner, intermediate, and advanced analytics projects.
• Sample datasets.
• Spreadsheet exercises.
• SQL case studies.
• Dashboard projects.
• Reporting templates and resources.
• Business problem-solving exercises.
Blog
• Data Analytics concepts.
• Tool comparisons and tutorials.
• Dashboard design principles.
• Business Intelligence use cases.
• Data reporting and storytelling.
• Industry applications and career guidance.
About Us
• Website mission and purpose.
• Intended audience.
• Learning philosophy and editorial approach.
Contact
• Contact form.
• Enquiry confirmation message.
• Spam protection.
4. Design and User Experience
• Create a clean, modern, professional educational website.
• Make the learning path easy to understand for beginners.
• Present analytical workflows as numbered stages, timelines, or diagrams.
• Use consistent layouts, typography, colours, and spacing.
• Ensure responsive design across desktop, tablet, and mobile.
• Include a search feature for tutorials, tools, and projects.
• Use breadcrumbs and related-content links where useful.
• Display tables, formulas, SQL queries, code blocks, and dashboard images clearly.
• Ensure readable layouts for wide tables and technical examples on mobile.
• Avoid unnecessary animations and intrusive pop-ups.
5. Data Analytics Workflow Functionality
The main learning path should demonstrate a typical analytics workflow:
1. Understand the business question.
2. Collect and access data.
3. Inspect and clean the data.
4. Transform and prepare the data.
5. Analyse patterns and trends.
6. Visualise the results.
7. Build dashboards or reports.
8. Communicate insights and recommendations.
Users should be able to open each stage and access relevant topic pages, tutorials, and projects.
The workflow should explain that actual analytical processes may vary depending on the business problem, available data, and tools used.
The initial version should be publicly accessible without requiring registration or login.
6. Content Management System
Implement a suitable content management system that allows the owner or content team to manage:
• Standard pages.
• Learning paths.
• Topic pages.
• Tutorials.
• Projects and resources.
• Blog articles.
Use reusable templates and consistent categories so routine content publishing does not require developer assistance.
Provide administrative access and basic publishing documentation.
7. SEO Requirements
Implement technical SEO fundamentals from the beginning.
• Clean, descriptive URLs.
• Editable SEO titles and meta descriptions.
• Logical H1, H2, and H3 heading hierarchy.
• XML sitemap generation and maintenance.
• Appropriate robots.txt configuration.
• Canonical URL support.
• Index/noindex controls.
• Breadcrumbs where useful.
• Descriptive image alt text.
• Internal linking between learning paths, tutorials, projects, and tool guides.
• Appropriate structured data for eligible content.
• Proper handling of category pages, tags, pagination, and duplicate URLs.
• Prevention of accidental indexing of staging and administrative pages.
The architecture should make the relationship between analytics concepts, tools, workflows, and practical projects clear to search engines.
8. Performance and Technical Requirements
• Optimise Core Web Vitals and page-loading performance.
• Use responsive images and modern formats where supported.
• Configure caching and compression.
• Minimise unnecessary scripts and plugins.
• Implement HTTPS.
• Ensure stable layouts and mobile usability.
• Configure security measures and regular backups.
• Test forms and navigation.
• Test major browsers and common screen sizes.
Recommend hosting based on budget, expected traffic, maintainability, and performance requirements.
9. Analytics and Tracking
Configure Google Analytics 4 and Google Search Console.
Where appropriate, track:
• Learning path clicks.
• Tutorial engagement.
• Project and resource clicks.
• Dashboard or template downloads.
• Contact form submissions.
• Outbound resource links.
Define and test the required events before launch. Avoid collecting unnecessary personal information.
10. Future Scalability
The architecture should support future additions such as:
• Additional analytics learning paths.
• More tutorials and case studies.
• Downloadable spreadsheet templates and datasets.
• Interactive exercises.
• Newsletter subscriptions.
• Quizzes and assessments.
• Learning progress tracking.
• User accounts or premium resources, if approved later.
These features should not be included in the initial scope unless separately agreed.
11. Initial Launch Requirements
The initial launch should include:
• Homepage and primary navigation.
• Main Data Analytics learning path.
• Core topic categories.
• Tutorial and project templates.
• Blog functionality.
• About Us and Contact pages.
• Technical SEO configuration.
• Analytics setup.
• Responsive design and performance testing.
The final number of pages and templates should be agreed before development begins.
12. Developer Deliverables
The developer should provide:
• Completed responsive website.
• Approved navigation and website architecture.
• CMS and administrative access.
• Reusable page templates.
• Data Analytics workflow presentation.
• SEO configuration.
• Analytics and Search Console integration.
• Contact form testing.
• Security and backup configuration.
• Performance and mobile testing.
• Publishing and maintenance documentation.
• Handover of access credentials and relevant project files.
• List of installed plugins, paid services, and recurring costs.
• Agreed post-launch support terms.
13. Proposal Requirements
Please provide:
• Recommended CMS and technology stack.
• Proposed design and architecture.
• Development timeline and milestones.
• Total development cost and payment milestones.
• Hosting and recurring expenses, if applicable.
• Features included and excluded.
• Maintenance and support terms.
• Any information required before starting.
14. Acceptance Criteria
The website will be considered complete when the agreed pages and workflow are implemented, the website is responsive, content can be managed through the CMS, technical SEO basics are configured, forms and analytics are tested, and all agreed access credentials and documentation are handed over.