Hefty pay packages, great job security, and plenty of lucrative opportunities are some of the perks associated with a career in business analytics. However, if you envisage a career in business analytics you must look to acquire mastery over the top business analytics tools that are used by most companies and are in high demand across the globe. Thus, if you are going for a business analytics online course then you must take a quick look at the curriculum of the course and verify whether the course can train you on the most used analytics tools in 2022.
A business analytics tool can ingest data in a desirable format and then enable the analytics process to begin. A good business analytics tool will also enable users to create visually appealing graphs, charts, and other data visualizations that are critical in the analytics process. While there exist several tools in the market, only some have gained a reputation and are used by tech giants and start-ups alike. There are several parameters on which the tools are rated by business analysts around the world. Features like ease-of-use and perks like fascinating GUI carry a lot of weight when it comes to selecting the perfect business analytics tool.
Here is a list of some of the most preferred and used business analytics tools of 2022:
- Python and R
Python has undeniably become the best programming language for data analytics and data science. It offers a myriad of libraries exclusively built for analytics and these libraries are undoubtedly most important tools for any data analytics professional. Interestingly it has been consistently noticed that prowess in Python is one of the most sought after skills by recruiters from top companies. Python libraries like NumPy and SciPy are extensively used for advanced mathematical and scientific calculations required in data analytics. Matplotlib, which is another Python library is also very popular for its data visualization capabilities. Pandas is another tool built on Python programming language is easily recognised as one of the best data analytics tool which available freely since it is open source just like Python. Overall it can be concluded that for budding data analysts and data scientists, Python is indispensable.
R is another programming language held in high regard by data analyst professionals. Like Python, R is open source and like Python R offers an array of libraries for data analytics. Most importantly R comes among the top when it comes to statistical modeling and analysis which is an integral part of data analytics. Other advantages of R include it’s compatibility with other programming languages and it’s ability to be integrated in Big data tools like Hadoop. R is also known for its capacity to create high end data visualizations and its ability to perform cross platform!
However, R has disadvantages like it’s very steep learning curve and it’s inability to match the speed of alternatives like Python!
- Tableau
Tableau has been the market leader for quite some time now. With market leaders like Verizon, Lenovo, and Honeywall all using it for their business analytics needs, Tableau has gained a lot of reputation in the market. It offers perks like the ease of implementation, ability to handle large data sets, ability to let users choose among a variety of scripting languages, and creative data visualization capabilities.
One of the most interesting features of Tableau is that it allows mobility through its extremely useful mobile app developed for both android and IOS platforms. Thus, even when you are on the go you can keep a tab on your analytics insights and take decisive actions. Tableau is also preferred by companies and users around the globe because it offers great customer support and the cost is comparatively low. - Microsoft’s Power BI
Power BI as an analytics suite is slowly becoming a favored analytics tool. From enabling users to deploy instantly to allowing users to ingest data from a variety of sources, Power BI has many extremely good features. Power BI also offers Industry-specific solutions that are quite important for you as acquiring command over Power BI will help you move vertically in your current organization provided that the organization you work in also uses Power BI. Data governance and security are other strong aspects of Power BI. It enables users to leverage ‘Single-sign-on’ through the use of a built-in Azure Active Directory. Other perks of Power BI include the capacity for seamless collaboration and integration!
Hence, if you are opting for business analytics online course you must ensure that you acquire mastery over at least one of the above-listed tools!
