Data analytics
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This document outlines topics related to data analytics including the definition of data analytics, the data analytics process, types of data analytics, steps of data analytics, tools used, trends in the field, techniques and methods, the importance of data analytics, skills required, and benefits. It defines data analytics as the science of analyzing raw data to make conclusions and explains that many analytics techniques and processes have been automated into algorithms. The importance of data analytics includes predicting customer trends, analyzing and interpreting data, increasing business productivity, and driving effective decision-making.
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Data analytics
- 2. TOPICS TO BE COVERED Definition Data analytics process Types of data analytics Steps of data analytics Data analytics tools Data analytics trends Techniques and methods Importance of Data Analytics Skills required for Data Analytics Benefits of Data Analytics
- 4. DATA ?? In computing, data is information that has been translated into a form that is efficient for movement or processing. Data can exist in a variety of forms as numbers or text on pieces of paper, as bits and bytes stored in electronic memory, or as facts stored in a person’s mind.
- 6. DATAANALYTICS Data analytics is the science of analyzing raw data in order to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.
- 9. STEPS OF DATA ANALYTICS
- 15. IMPORTANCE OF DATAANALYTICS Predict customer trends and behaviors. Analyze, interpret and deliver data in meaningful ways. Increase business productivity. Drive effective decision-making.
- 16. SKILLS REQUIRED FOR DATAANALYTICS 1. Analytical skills 2. Numeracy skills 3. Technical and Computer skills 4. Attention to Details 5. Business skills 6. Communication skills