Data Analytics Course Details

What is data analytics?

Data analytics is the science of analyzing raw data to make conclusions about that information. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.

Type of Analytics:

A] Backward-looking:

1. Descriptive analytics(Describe, Summarize & analyze historical data).
2. Diagnostic analytics(Identify causes of trends & outcomes).

B] Forward-looking:

1. Predictive analysis(Predict future outcomes based on past).
2. Prescriptive analytics(Recommend right or optimal actions & decisions).
3. Adaptive & Autonomous Analytics(Monitor, decide, and act autonomously or semi-autonomously).

Get Graduate In:

Basic level: B.Sc.in information technology(BscIT).
Type: Undergraduate Program
Duration: 3 years
Total 6 semester
CAUTION: Course includes theory, practical & project.
Advance level: M.Sc.in information technology(MscIT)
Type: Post Graduate Program
Duration:2 years
Total 4 Semester

And Learn This Tools:

• Excel.
• Visual Basic.
• R programming(data modelling).
• Java programming.
• RDBMS using Oracle.
• SQL.
• Python.
• C++
• SAS
• APACHE Spark
• RapidMiner
• KNIME
• QlikView
• Splunk
• Tableau Public

Career Scope:

• Business analyst.
• Management reporter.
• Corporate Strategy analyst.
• Compensation and Benefits analyst.
• Budget analyst.
• Insurance Underwriting analyst.
• Actuary.
• Sales analyst.
• Web analyst.
• Fraud analyst.
• Credit analyst.
• Business Product analyst.
• Social media data analyst.
• Machine learning analyst.

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