The data analyst’s guide to analysis with tableau
Table of Contents
Tableau is a powerful data analysis tool that can help you find insights into your business data. It's easy to start with tableau, but some advanced features require more knowledge and skill than just downloading the software.
In this guide, we'll go over everything from starting with tableau to more advanced techniques for getting the most out of this tool.
Getting Started with Tableau
A tableau is an excellent tool for visualizing data. You can use it to analyze data from small sample sizes to large databases. Data scientists, data analysts, and business users alike can use it. Tableau is fast and easy to use: no training required!
Aggregating data is the process of summarizing data by a single value. For example, if you have a table with sales by month and product type, you could aggregate this information into one row showing how much revenue each month generated from each product.
Tableau can do this for you using built-in functions or custom aggregation formulas. You can also use tableau's built-in tools to perform any number of different kinds of aggregations:
- Summarizing grouped values into one cell
- Counting unique values within a group
Tableau has a very easy-to-use interface that allows you to create these in no time!
Using Multiple Visualizations to Tell a Story with Data
You can also use multiple visualizations to tell a story with data. The art of data storytelling involves effectively conveying insights from a dataset through stories and visualizations. You can also use it to motivate your audience to take action by putting data insights into context.
The following three elements are crucial to data storytelling:
Data: The foundation of your data story is a thorough analysis of accurate, complete data. You can also comprehensively understand the data by analyzing it using descriptive, diagnostic, predictive, and prescriptive analysis.
Narrative: An oral or written narrative, a storyline, conveys insights drawn from data.
Visualizations: Using visual representations of your data and narrative can help you tell your story memorably and understandably.
More Advanced Features of Tableau
Natural language processing (NLP) is a field of artificial intelligence that focuses on extracting information from textual data using computers. You can use NLP to identify keywords in a sentence, create sentiment analysis models and perform sentiment classification.
Sentiment analysis involves the study of opinions expressed in social media posts or other forms of text. Opinion mining involves studying existing opinions and how they relate to each other so you can predict future opinions based on current ones.
Explore a career in data analytics with Imarticus Learning
With the help of this data science course, you could land a career in tableau. Put your new knowledge to use by using data science to build complex models that generate crucial business forecasts and insights.
Course Benefits for Students:
- Students will be familiar with the most popular data science methodologies and tools, data analytics, and machine learning basics.
- Students who complete 25 real-world projects and case studies under the supervision of business partners will receive a data analytics certification course.
- The ability to display data using a data analytics tool is one of the most sought-after skills on the market.
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