Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Analytics.bi appears, based on the scraped text, to be a course/training website focused on Excel, Power BI, and Power Query. Its positioning is to help users learn these data tools “quickly and easily.” The content emphasizes practical examples, clear explanations, and data solutions for real workplace scenarios, covering learning needs from beginner to more advanced levels.
The course focus is fairly clear: Excel, Power BI, and Power Query, which fall under office data processing, business intelligence, and data cleaning/analysis. The text mentions that it is suitable for “beginners and advanced users,” suggesting the courses may include both basic operations and more complex real-world business applications. However, the scraped content does not provide a detailed syllabus, course duration, number of projects, or learning path, so it is difficult to assess how systematic the curriculum is.
In terms of delivery format, the text does not disclose whether the courses are live classes, recorded lessons, or one-on-one coaching. It also does not mention homework review, community Q&A, or corporate training. There is likewise no information about certification, so it should not be treated as a course that offers formal credentials. The teaching language is also not explicitly stated, but the page content is in Lithuanian, so Chinese users should pay attention to language compatibility.
The available text does not provide pricing, plans, free trials, refund policy, or payment methods. Therefore, value for money can only be assessed cautiously: if the courses are inexpensive and the case studies are of good quality, they may be suitable for working professionals who want to quickly strengthen their data-tool skills. However, given the lack of pricing and service commitments, it is advisable to confirm the course content, update frequency, instructor background, and after-sales support before purchasing.
The strengths are its focused direction and practical tools: Excel, Power BI, and Power Query are all frequently used in workplace data analysis. Its emphasis on real examples and clear explanations is also attractive for application-oriented learning. The downside is the lack of public information: instructor/institution background, course format, certificates, pricing, and support services are not shown, which lowers decision-making transparency.
It is better suited to learners who want to improve their office data processing, report-building, and data-cleaning skills, especially those who already work with data but lack a systematic approach. Access from mainland China is unknown, and payment methods are also unclear. If access, language, or payment is inconvenient, alternatives include Microsoft Learn, Udemy, Coursera, Bilibili, or domestic platforms offering Excel/Power BI courses.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on analytics.bi official site.
analytics.bi is an Lithuania Education provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach analytics.bi directly.