Data analytics are an essential component of successful businesses and their strategies. Data analysts are responsible for collecting, organizing, and reporting data to identify trends and statistics that a company can use to its advantage. Technological advancements help make data collection and reporting easier. Here are some of the best programs and software to know how to use if you are interested in a career in data analytics.
Microsoft Excel
Excel is a great tool for collecting and sorting data. You can use formulas to make faster calculations.
Python
Python is a software for data analysts that is a programming language. It is considered easy for users to learn.
Tableau
This software is a popular program used to manage data sets in various forms, such as graphs and charts.
My SQL
This is a large database management system that is widely used and boasts some large companies that use the software, such as Facebook and LinkedIn.
Minitab
This software provides numerous tools to the user for analyzing data and offers educational sections on their site for self-guided use.
Klipfolio
This software allows the user to review business metrics within an organized dashboard and review data to help with business strategies.
Google Analytics
Google offers its analytical program for businesses looking to track data from traffic on their website. This will show the performance of their company’s site.
Zoho Analytics
This highly rated software allows users to not only analyze the collected data but to also create visual representations of their data and information.
Qlik Sense
This program is designed for users to customize it to their business tasks and is a helpful tool for analyzing data sets.
Microsoft Power BI
This is a group of software programs and services that Microsoft offers to help users organize, analyze, and present data to improve businesses. It can handle a variety of data analytic projects.
For more details on data analytics, the industry, academics, and career opportunities, check out https://focusedusolutions.com/ today.
References
"How Hard Is It to Learn Python?" Thinkful, 1 Jan. 2023, www.thinkful.com/blog/how-hard-is-it-to-learn-python/. Accessed 20 Nov. 2023.
"Tableau Helps People and Organizations Be More Data-driven." Tableau, 2023, www.tableau.com/why-tableau/what-is-tableau#:~:text=Tableau%20helps%20people%20and%20organizations,change%20businesses%20and%20the%20world. Accessed 20 Nov. 2023.
"Why MySQL?" MySQL, 2023, www.mysql.com/. Accessed 20 Nov. 2023.
"We Are Minitab." Minitab, 2023, www.minitab.com/en-us/. Accessed 20 Nov. 2023.
Haan, Katherine, and Rob Watts. "The Best Data Analytics Tools Of 2023." Forbes Advisor, 10 Nov. 2023, www.forbes.com/advisor/business/software/best-data-analytics-tools/. Accessed 20 Nov. 2023.
"Data from Everywhere. Metrics for Everyone." Klipfolio, 2023, www.klipfolio.com/v2. Accessed 20 Nov. 2023.
"How Google Analytics Works." Google, 2023, support.google.com/analytics/answer/12159447?hl=en#:~:text=Google%20Analytics%20is%20a%20platform,provide%20insights%20into%20your%20business. Accessed 20 Nov. 2023.
"Overview." Zoho Analytics, 2023, www.zoho.com/analytics/help/overview.html#:~:text=Zoho%20Analytics%20is%20a%20self,discover%20hidden%20insights%20in%20minutes. Accessed 20 Nov. 2023.
"Next-level Insight and Action from Your Data." QLik, 2023, www.qlik.com/us/products/qlik-sense#:~:text=Qlik%20Sense%20is%20a%20complete,to%20fully%20customize%20analytics%20solutions. Accessed 20 Nov. 2023.
"What Is Power BI?" Microsoft, 21 Feb. 2023, learn.microsoft.com/en-us/power-bi/fundamentals/power-bi-overview. Accessed 20 Nov. 2023.