Unlock the features of Machine Learning

Posted in CategoryLanguage Learning Discussions
  • D
    Deepa verma 2 weeks ago

    Data analytics examines data sets to draw conclusions about the information they contain. This process is typically performed with specialized software and tools. Data analytics is crucial for businesses and organizations because it provides insights to drive better decision-making, improve efficiency, and gain a competitive edge. Here’s a comprehensive overview of data analytics:

    Types of Data Analytics

    1. Descriptive Analytics

      • Purpose: To understand what has happened in the past.
      • Techniques: Data aggregation and data mining.
      • Tools: Reporting tools, dashboards, and visualization tools (e.g., Tableau, Power BI).
      • Example: Summarizing sales data to identify trends and patterns.

    2. Diagnostic Analytics

      • Purpose: To understand why something happened.
      • Techniques: Drill-down, data discovery, and correlations.
      • Tools: Statistical analysis software (e.g., SAS, SPSS).
      • Example: Analyzing customer feedback to determine the cause of a drop in sales.

    Data Analytics Course in Pune

     

    Data Analytics Classes in Pune

Please login or register to leave a response.

Available now

You can now download our app through

android app apple app

Get in Touch with Us

© 2018/2020 Community of Babel. All rights reserved.