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Top 10 Data Analysis Tools | Top Data Analytics tools | Data Analytics | Simplilearn

With data growing at a rapid rate, companies are facing significant challenges to handle their data and derive business values. Implementing the use of Data Analysis tools is the need of the hour. In this video, we'll cover the top 10 data analysis tools that can help you handle your data efficiently, perform different kinds of analytics, build reports, dashboards, and models to make business decisions. You will also learn their essential features and the companies that use them regularly. <br>

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Top 10 Data Analysis Tools | Top Data Analytics tools | Data Analytics | Simplilearn

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  1. Why Data Analysis?

  2. Why Data Analysis? Numerous companies around the globe produce a huge amount of data intelligence!

  3. Click here to watch the video

  4. Why Data Analysis? All the generated data in its raw form is of no use to anyone. It is of use only if we can derive meaningful information from it

  5. Why Data Analysis? All the generated data in its raw form is of no use to anyone. It is of use only if we can derive meaningful information from it To do this, we use Data Analysis!

  6. What is Data Analysis?

  7. What is Data Analysis? Data Analysis is the process of collecting, cleaning, and transforming data into useful information

  8. What is Data Analysis? We can achieve this with the help of various data analysis tools. These tools provide the analysis results visually

  9. 10. Microsoft Excel

  10. 10. Microsoft Excel Developed by Microsoft, the Microsoft excel is a spreadsheet program which is used to create grids of numbers, texts and various formulae

  11. 10. Microsoft Excel

  12. 10. Microsoft Excel Features

  13. 10. Microsoft Excel Features • Excel can be used with every piece of software in Microsoft Office

  14. 10. Microsoft Excel Features • Excel can be used with every piece of software in Microsoft Office • It supports programming through VBA which enables spreadsheet manipulations

  15. 10. Microsoft Excel Features • Excel can be used with every piece of software in Microsoft Office • It supports programming through VBA which enables spreadsheet manipulations • Microsoft Excel allows you to display analysis results in the form of line graphs, charts, and histograms. The visualization can be generated from specified group of cells

  16. 10. Microsoft Excel Companies using Excel

  17. 9. RapidMiner

  18. 9. RapidMiner RapidMiner is a dedicated data science software platform which helps with data preparation and analysis

  19. 9. RapidMiner

  20. 9. RapidMiner Features

  21. 9. RapidMiner Features • RapidMiner allows developers to use the drag and drop option to operate on pieces of code when building models

  22. 9. RapidMiner Features • RapidMiner allows developers to use the drag and drop option to operate on pieces of code when building models • It has various data exploration features which are used by users to gain valuable insights from the data

  23. 9. RapidMiner Features • RapidMiner allows developers to use the drag and drop option to operate on pieces of code when building models • It has various data exploration features which are used by users to gain valuable insights from the data • RapidMiner provides more than 1500 operators for data analysis and transformations

  24. 9. RapidMiner Companies using RapidMiner

  25. 8. Talend

  26. 8. Talend Talend was founded with the vision to modernize data integration. Various services for data management is provided by Talend

  27. 8. Talend

  28. 8. Talend Features

  29. 8. Talend Features • Talend allows quick deployment by means of automation

  30. 8. Talend Features • Talend allows quick deployment by means of automation • It offers open source tools which can be downloaded for free

  31. 8. Talend Features • Talend allows quick deployment by means of automation • It offers open source tools which can be downloaded for free • Talend enables you to integrate with many databases, SaaS, and technologies

  32. 8. Talend Companies using Talend

  33. 7. KNIME

  34. 7. KNIME KNIME is an open-source data analysis tool to create data science applications and build machine learning models

  35. 7. KNIME

  36. 7. KNIME Features

  37. 7. KNIME Features • KNIME provides a GUI to create visual workflows using the drag and drop feature

  38. 7. KNIME Features • KNIME provides a GUI to create visual workflows using the drag and drop feature • It supports multi-threaded in-memory data processing

  39. 7. KNIME Features • KNIME provides a GUI to create visual workflows using the drag and drop feature • It supports multi-threaded in-memory data processing • KNIME Server automates workflow execution and supports team-based collaboration

  40. 7. KNIME Companies using KNIME

  41. 6. SAS

  42. 6. SAS Statistical Analysis System (SAS) is a software developed by the SAS institute. SAS is used to analyze statistical data

  43. 6. SAS

  44. 6. SAS Features

  45. 6. SAS Features • SAS enables better data analysis using SAS SQL and automatic code generation

  46. 6. SAS Features • SAS enables better data analysis using SAS SQL and automatic code generation • SAS allows easy integration with MS office tools like outlook and excel

  47. 6. SAS Features • SAS enables better data analysis using SAS SQL and automatic code generation • SAS allows easy integration with MS office tools like outlook and excel • SAS enables you to create interactive dashboards and reports by helping you understand complex data

  48. 6. SAS Companies using SAS

  49. 5. R and Python

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