{"id":30502455,"url":"https://github.com/0xnu/data-analyst-training","last_synced_at":"2025-08-25T11:34:58.875Z","repository":{"id":309336670,"uuid":"1035896910","full_name":"0xnu/data-analyst-training","owner":"0xnu","description":"The repository contains training materials for data analysts.","archived":false,"fork":false,"pushed_at":"2025-08-18T16:06:50.000Z","size":16183,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-18T18:08:52.472Z","etag":null,"topics":["data","data-analysis","data-analyst"],"latest_commit_sha":null,"homepage":"https://0xnu.github.io/data-analyst-training/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/0xnu.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":"CODEOWNERS","security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-08-11T08:58:20.000Z","updated_at":"2025-08-18T16:06:53.000Z","dependencies_parsed_at":"2025-08-11T11:14:18.759Z","dependency_job_id":"082593db-594a-4c42-9727-2e167511fd5f","html_url":"https://github.com/0xnu/data-analyst-training","commit_stats":null,"previous_names":["0xnu/data-analyst-training"],"tags_count":9,"template":false,"template_full_name":null,"purl":"pkg:github/0xnu/data-analyst-training","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xnu%2Fdata-analyst-training","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xnu%2Fdata-analyst-training/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xnu%2Fdata-analyst-training/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xnu%2Fdata-analyst-training/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/0xnu","download_url":"https://codeload.github.com/0xnu/data-analyst-training/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xnu%2Fdata-analyst-training/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":272055254,"owners_count":24865335,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-25T02:00:12.092Z","response_time":1107,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data","data-analysis","data-analyst"],"created_at":"2025-08-25T11:34:58.277Z","updated_at":"2025-08-25T11:34:58.868Z","avatar_url":"https://github.com/0xnu.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Data Analyst Training\n\n[![Release](https://img.shields.io/github/release/0xnu/data-analyst-training.svg)](https://github.com/0xnu/data-analyst-training/releases/latest)\n[![License](https://img.shields.io/badge/License-Modified_MIT-f5de53?\u0026color=f5de53)](/LICENSE)\n\n\u003e [!NOTE]\n\u003e I have started teaching data analysis and might eventually turn it into a digital course. 🤷‍♂️\n\nThe repository contains training materials for data analysts, organized by week:\n\n- **Week 1**: Introduction to Data Analysis\n- **Week 2**: Basic SELECT Statements\n- **Week 3**: WHERE Clauses \u0026 Filtering\n- **Week 4**: Sorting \u0026 Grouping Data\n- **Week 5**: Fundamentals, data import, and basic visualisations (Hands-on Lab Session)\n   - Getting Started with Power BI\n   - Data Import and Connection\n   - Data Transformation with Power Query\n   - Creating Basic Visualisations\n   - Hands-on Lab Session 1\n- **Week 6**: Advanced dashboards, reports, and publishing capabilities (Hands-on Lab Session)\n   - Advanced Visualisation Techniques\n   - Dashboard Design Principles\n   - Interactive Features and Filters\n   - Publishing and Sharing\n   - Hands-on Lab Session 2\n- **Week 7**: Aggregate Functions\n- **Week 8**: JOINs, Subqueries \u0026 CTEs\n- **Week 9**: Data Types \u0026 Functions\n- **Week 10**: Window Functions \u0026 Complex JOINs\n- **Week 11**: Advanced JOINs \u0026 Set Operations\n- **Week 12**: Stored Procedures \u0026 Views\n\nEach week contains PDF materials covering the topics in detail. The materials are designed to be self-contained, with each week building on the concepts introduced in the previous week.\n\n### Dataset\n\nThe dataset used for the training materials is the [Northwind dataset](./data/northwind.sql), which is a well-known dataset in the field of data science. The dataset contains information about the Northwind Traders, including their customers, employees, products, and orders.\n\n### Roadmap\n\nThe training roadmap is available [here](./roadmap/roadmap.png).\n\nSQL Training (10 weeks, 2 days):\n+ Weeks 1-4: Core fundamentals including database concepts, basic queries, filtering, and grouping\n+ Weeks 7-10: Intermediate skills covering aggregate functions, JOINs, subqueries, and data manipulation\n+ Weeks 11-12: Advanced techniques including window functions, complex JOINs, and stored procedures\n\nPower BI and/or Tableau Training (2 weeks):\n+ Week 5: Fundamentals, data import, and basic visualisations\n+ Week 6: Advanced dashboards, reports, and publishing capabilities\n\n### SQL Cheatsheet\n\nThere is an SQL cheatsheet page [here](https://0xnu.github.io/data-analyst-training/).\n\n### Useful Books\n\n+ [Becoming a Data Analyst](https://amzn.to/3V29U64)\n+ [Learning SQL](https://amzn.to/4mh8nW3)\n+ [SQL for Data Analysis](https://amzn.to/3HtTG2K)\n+ [Data Visualization with Microsoft Power BI](https://amzn.to/3V0qdQR)\n+ [Learning Tableau 2025](https://amzn.to/3HtqgSj)\n\n### Practice\n\nYou can continue improving your SQL skills with hands‑on practice on [LeetCode](https://leetcode.com/problemset/database/) and [HackerRank](https://www.hackerrank.com/domains/sql), which offer collections of database problems ranging from basic queries to advanced analytical challenges. These exercises will help you master SQL syntax, optimize query performance, and prepare for technical interviews.\n\n### Job Market\n\nSalary benchmarks from Robert Walters, along with current job listings from the Department for Work and Pensions, the Civil Service, and LinkedIn:\n\n+ Data Analyst UK Average Salary: [Robert Walters](https://www.robertwalters.co.uk/our-services/salary-survey/data-analyst-salaries.html)\n+ Data Analyst Jobs: [DWP](https://findajob.dwp.gov.uk/search?q=Data+Analyst\u0026w=UK), [Civil Service](https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SID=cGFnZWNsYXNzPVNlYXJjaCZvd25lcj01MDcwMDAwJnBhZ2VhY3Rpb249c2VhcmNoY29udGV4dCZjb250ZXh0aWQ9MTQ3MzUwNjA3Jm93bmVydHlwZT1mYWlyJnJlcXNpZz0xNzU1NzYxNjkwLTk4ZTJlYjg3Nzk0YjZlZDdmNGZmMmJiYjJkNDBhMDQzZTBlMTQ4NzI=), and [LinkedIn](https://uk.linkedin.com/jobs/data-analyst-jobs?position=1\u0026pageNum=0)\n+ Remote Data Analyst Jobs: [WeWorkRemotely](https://weworkremotely.com/remote-jobs/search?term=Data+Analyst), [Remote OK](https://remoteok.com/remote-analyst-jobs), and [Remote Rocketship](https://www.remoterocketship.com/?page=1\u0026sort=DateAdded\u0026jobTitle=Data+Analyst\u0026locations=United+Kingdom)\n\n### License\n\nThis project is licensed under the [Modified MIT License](./LICENSE).\n\n### Copyright\n\n(c) 2025 [Finbarrs Oketunji](https://finbarrs.eu). All Rights Reserved.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0xnu%2Fdata-analyst-training","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F0xnu%2Fdata-analyst-training","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0xnu%2Fdata-analyst-training/lists"}