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Tableau
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Tableau is recommended for data analysts, business intelligence professionals, and organizations that need to transform complex data into actionable insights. It is also suited for industries that rely on data-driven decision-making, such as finance, healthcare, and marketing, as well as any company looking to improve its data visualization capabilities.
Iโve used Tableau to analyze and present data for business reporting, and its strength is clearly in visualization. Turning raw data into interactive dashboards is fast once you understand how the tool works, and the end results look polished and professional.
However, getting to that point isnโt instant. New users may struggle with calculations, data modeling, and performance tuning. Licensing costs are also high, which can be difficult to justify for smaller teams or individual users.
Tableau works best for organizations that rely heavily on data-driven decisions and can invest time and budget into analytics. Itโs not the easiest or cheapest option, but the output quality makes it worthwhile
Based on our record, Tableau should be more popular than StrataScratch. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: about 3 years ago
Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 3 years ago
Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: over 4 years ago
For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: over 4 years ago
I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: over 4 years ago
StrataScratch is focused on providing data analysis/science resources needed to land a job and resources for the first few years of your career. It has 600+ coding questions from real interviews where you can use SQL, python, or R. It has 500+ questions about ML theory, product sense, probability, statistics, also from real interviews. There are data projects that come from take home assignments companies give... Source: about 3 years ago
I learned off of Mode Analytics SQL tutorial. It's free and I use it as a reference when I forget syntax. From there, my learning style is to grind on practical questions that I would get as a data analyst. So I would recommend stratascratch because all their questions are from real data science interviews which not only test for syntax but edge cases and business logic. Other platforms basically only test for... Source: about 3 years ago
There was a comment here about using Leetcode, Hackerrank, SQL fiddle, etc to keep learning SQL. However, if you're aim is to go into data analytics you need to go beyond learning syntax and understand edge cases and business context. You should grind on some data analytics/data science focused platforms like stratascratch and interviewquery. They have hundreds of questions with many free ones for your to practice. Source: about 3 years ago
If you want some practice interview questions, check out DataLemur and/or StrataScratch. They helped me immensely in preparing for technical interviews. Source: about 3 years ago
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
LeetCode - Practice and level up your development skills and prepare for technical interviews.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
DataLemur - Practice SQL Interview Questions & Data Science Interview Questions asked by FAANG.
Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.
Datacamp - DataCamp is a massive open online course (MooC) platform that helps everyone from novices to experts hone their skills with data science.