Data Analysis is the process of analyzing data to gather valuable insights that can be used for decision-making and solving various business problems. There are many tools that you can use for Data Analysis. In this article, I will take you through some of the Data Analysis tools you should know as a Data Analyst.
Data Analysis Tools
There are many tools used in the industry for Data Analysis. Below are some of the tools you should know as a Data Analyst.
Tableau
Tableau is one of the tools that you should know as a Data Analyst. It is used as a data analytics, business forecasting, and data visualization tool. It helps data professionals to understand the story behind the numbers. Almost all organizations of all sizes use Tableau for data-driven decisions. You can learn more about Tableau here.
Microsoft Power BI
Power BI gives a lot of competition to Tableau for Data Analysis. It is a collection of software services that work together to solve your business problems with data. It lets you easily connect to all your data sources to analyze and discover patterns in your data. You can learn more about Power BI from here.
You don’t need to learn both Tableau and Power BI together. Just explore both the tools and choose the one you find better.
Python
Python is one of the best programming languages for working with data. As a Data Analyst, you should know the Python programming language. It will help you read, transform, and analyze a large amount of data. Python has a collection of libraries and packages that makes it one of the best tools for Data Analysis. You can learn more about data analysis libraries in Python from here.
Summary
So Tableau, Microsoft Power BI, and Python are some data analytics tools you should know as a Data Analyst. All these tools will be valuable in your career as a data analyst. So spending time learning these tools will be worth it. I hope you liked this article on Data Analysis tools you should know. Feel free to ask valuable questions in the comments section below.
