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Business analytics

Analytical tools for Data Science

 The word ‘Data’ has been in existence for ages now.  In the era of 2.5 Quintillion bytes of data being generated every day, data plays a crucial role in decision making for business operations. But how do you think we can deal with so much data? Well, there are several roles in the industry today that deal with data to gather insights, and one such vital role is of a Data Analyst.  A Data Analyst requires many tools to gather insights from data. This article on the Top 10 Data Analytics Tools will talk about the top tools that every budding Data Analyst to a skilled professional must learn in 2021.

In this article, we will cover the following Data Analytics Tools:

  1. R and Python 
  2. Microsoft Excel
  3. Tableau
  4. RapidMiner
  5. KNIME
  6. Power BI
  7. Apache Spark
  8. QlikView
  9. Talend
  10. Splunk

When trying to find the perfect tool for your data analytics needs, it’s important that you first understand all of the different methods and types of data analysis that these tools might offer. While some tools will offer a portfolio of some or all of these analytic types, others specialize and dive deep into a specific category of data analytics needs. Some keywords that you should look for in your search for the right data analytics tool are covered below, so do your research to find out which approach best fits your data types and business strategy needs.

  • Data Visualization and Modeling
  • Data Preparation
  • Business Intelligence
  • ETL
  • Statistical Analysis
  • Predictive Analytics
  • SQL
  • Industry-Specific

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