Tableau Tutorial for Beginners

Are you looking to learn visualization for your next job as a data analyst or data scientist? If so, I have got a new course for you. I have recorded a series of videos to learn visualization using Tableau. You will learn, how to connect to different data sources like excel, SQL server and other databases in very less time, without needing to know complex coding and quickly clean up the data and put together powerful visualization. We will look at various examples to take complex data and visualize a simple story using the power of graphs and charts.

What will you gain from this course?

I am a coder and a manager and run a Data science team. Quite often through Linkedin and other channels I get questions on tips to start a career in Databases and Analytics. So I put together this course. I have taken into consideration a lot of stuff, that you will often need if you decide to start a career as a Reporting Analyst or Data Analyst.

By the end of this course, you will have a good understanding of Tableau, how to use it, how to gather data from different data streams and clean them, how to use the various tools provided by tableau in-order to create a report or visualization and many more. In short, you will be apply to directly apply these concepts in your new job or day to day work.

You will be able to take a very complex data and transform that into a beautiful story for analysis and present it to leadership.

🌟 **Global Course Rating:** 4.33 Based on recent reviews, this course has received a broad spectrum of feedback from learners with varying levels of experience with Tableau. Here's a summary of the course highlights and areas for improvement: **Pros of the Course:** - **Comprehensive Overview:** The course provides a high-level overview that is easy to follow, making it suitable for beginners to grasp the basics quickly. (Wasel, Absolutely great user) - **Real-world Application:** The content is practical and beneficial for those looking to apply Tableau skills in a corporate setting. (New Tableau learner) - **Precision and Useful Resources:** The instructor is precise, offering helpful links that complement the learning experience. (Current version user) - **Informative Content:** The course material is informative and covers a wide range of Tableau features. (Good understanding user) - **Beginner Friendly:** It's tailored well for beginners who are new to both Tableau and data analytics. (Begginer level user, Free course user) - **Confidence in Learning:** Offering the course free of cost and maintaining a straightforward approach helps build confidence in the learning process. (Data Analytics domain user) - **Slow and Easy Paced:** The pace is slow enough for beginners to understand the basics without feeling overwhelmed. (Slow and easy paced user, Beginner iKnow the basic things) **Cons of the Course:** - **Software Version Discrepancy:** Some learners have encountered difficulties due to differences between the software version used in the course and the current version available online. (Different software version user, Not as per expectation user) - **Instruction Quality:** A few learners felt that the instructor's approach to teaching was not engaging or interesting, and some found the instruction quality subpar due to poor audio and lack of visual aids like subtitles or lecture notes. (Audio quality user, As expected free course user) - **Pacing Issues:** Some learners mentioned that the pacing was inconsistent, with parts moving too quickly, making it hard to keep up or understand what was being demonstrated. (Audio quality user, Some of it is a little fast at times user) - **Resource Availability:** A notable concern is the absence of certain resources like lecture notes and sample files mentioned in the course description. (Cannot find TABLEAU Lecture Notes user, Missing links user) - **Contextual Explanations:** There were instances where context was lacking, making it challenging to understand the rationale behind certain actions taken by the instructor. (Lack of context user) - **Course Structure and Organization:** Some users felt that the course structure could be improved, particularly in terms of organizing content and providing clear next steps for advanced learning. (Course agenda user) **Additional Notes:** - It's important to note that some learners have found value in the course despite these cons, highlighting its effectiveness as an introduction to Tableau. - The course has been updated since its original release in 2017, but some learners suggest it could be refreshed further to reflect the latest version of Tableau. Overall, this course is a solid starting point for individuals new to Tableau or data visualization, with the potential to offer a deep understanding of the tool with additional self-study and practice.