Introduction:
With Data Analytics, you analyze raw data to draw meaningful and actionable insights. It further helps you in making smart and informed business decisions. So basically, a data analyst will extract raw data, organize it, and then analyze it, transforming it into coherent, intelligible information. With the evolving analytics, the range of available data analysis tools grows with it. If you’re considering a career in this field, Data Analyst Online Course can guide you on the correct path. With the correct usage of tools, you can make sense of the past and predict future trends and behaviors. This will further enable you to make informed choices based on what the data is telling you.
Data analytics tool used by Developers:
Now let’s have a look at some of the tools that a data analyst might work with. If you’re looking to become a data analyst, it is necessary to be proficient in at least some of the tools listed below.
Microsoft Excel: It is a software program that allows you to organize, format, and calculate data using formulas within a spreadsheet system. Data Analyst usually uses Microsoft Excel to run basic queries and to create pivot tables, graphs, and charts. Excel also features a macro programming language known as Visual Basic for Applications (VBA).
Tableau: Data analysts make use of Tableau to simplify raw data into visual dashboards, worksheets, maps, and charts. This enables them to make the data accessible and also easy to understand. Which further allows data analysts to effectively share their insights and recommendations.
SAS: SAS offers a wide range of statistical methods and algorithms, customizable options for analysis and output, and publication-quality graphics. Moreover, SAS is one of the most widely in-use software packages in the industry.
RapidMiner: RapidMiner is a software package useful for data mining (uncovering patterns), text mining, predictive analytics, and machine learning. Both data analysts and data scientists use RapidMiner.
Power BI: Power BI is a business analytics solution that enables you to visualize your data and share insights across your organization. Similar to Tableau, Power BI is primarily in use for data visualization.
Conclusion:
After going through the above paragraphs, you may have got an idea of certain tools available for Data Analysis. Besides, these tools are some of the most popular data analysis tools currently in use. The key thing to understand is that there’s no one tool that does it all. To grasp a better knowledge of its tools, Data Analyst Training in Noida can be a great choice for learning. A good data analyst has a wide range of knowledge of different languages and software tools.