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