In an increasingly digital world, it comes as no surprise that we are surrounded by technology and data. For this reason, data analytics are rising in popularity and importance, due to its ability to help businesses optimise their performances.
Data analytics refers to analysing data collections to identify trends and draw conclusions from the information available. In other words, data now plays a crucial role in decision making for businesses.
With that being said, the demand for highly skilled and qualified data analysts only continues to rise. Besides the key skills data analysts should possess that we have covered in a previous article, utilising the right tools can aid in the data analytics process significantly.
To discover the most useful data analytics tools for data analysts, keep on reading!
1. R Programming
R is now one of the most commonly utilised programming languages in the world. This open-source programming language allows for various forms of enhancements in the form of user-written packages.
Due to its user-friendly interface, R is typically utilised for statistical modelling, data visualisation, data analysis and even machine learning.
Check out Aventis Learning Group’s 2-Day Foundation in R Programming course.
2. Python
Apart from R, Python is another free and open-source programming software that is commonly utilised. Python works on various platforms and can be used to create and manage data structures quickly. With a syntax similar to the English language, this programming language is relatively easy to learn, and data analysts may utilise it to mine large amounts of complex data to identify key and relevant information.
To learn more, check out Aventis Learning Group’s 1-Day Introduction to Python Programming for Beginners course.
3. Tableau
Data analysts may view and analyse their data using Tableau, a business intelligence (BI) tool. As one of the most popular data visualisation tools on the market, Tableau allows its users to create interactive dashboards with various functions and run advanced calculations with the simple click of a button.
Interested in learning more about Tableau? Check out our Data Visualisation Using Tableau For Beginners course!
4. Excel
Excel is often overlooked and underestimated when it comes to its functionalities in the data analytics world. Despite being a simple spreadsheet, Excel is a powerful tool for data collection and analysis. With its built-in pivot tables, users can simply upload, browse, analyse, and visualise their data using this all-in-one data management tool.
Develop your practical business analytics abilities with our Problem Solving with Data Analytics For Beginners course.
5. Structured Query Language (SQL)
Structured Query Language (SQL) is a standardised programming language used to administer relational databases and carry out various operations on the data they contain. SQL offers a wide range of functions that let users read, modify, and alter data.
Beginners may consider enrolling in our SQL Fundamentals for Beginners course to gain a deeper understanding on how to communicate with relational databases through SQL.
Conclusion
And there we have it – some of the most useful data analytics tools that every data analyst should know about. These tools will undoubtedly help businesses move ahead in their data analytics journey and key operations as a whole.
If you are looking for some Singapore basic data analytics courses to brush up on your skills, check out Aventis Learning Group’s course catalogue. In particular, consider enrolling yourself in our Introduction to Data Analysis: Mining Data For Insights online course in Singapore. In this course, you will master data analysis, which is 1 of the 4 key pillars of data analytics. If you’re looking for a comprehensive suite of data analytics courses in Singapore, you can consider the Aventis Data Analytics Certification Series which features 4 courses aligned with the 4 pillars of data analytics.
1. Introduction to Data Management & Data Reporting: Managing Data For Insights
2. Introduction to Data Analysis: Mining Data For Insights
3. Introduction to Data Visualisation: Presenting Insights From Data
4. Introduction to Data Storytelling: Presenting Narratives From Data
Here at Aventis Learning Group, we are a multi-award-winning provider of online courses that aim to support the professional development of working professionals. To learn more, feel free to drop us a message here.
