Workshop on Data Analytics

WORKSHOP  NO 1  ON:  DATA ANALYTICS

WORKSHOP  DATE & TIME: 05/09/2020 AT 10.30 AM TO 12 PM

WORKSHOP BY: PRADEEP KHARE, TRAINER

STUDENTS PRESENT: 103

OBJECTIVES

1. To showcase What Is Data Analytics?
Through, use of visuals and videos, as to understanding data analytics
2. To understand The process involved in data analysis
3. To identify Why Data Analytics Matters

GUEST LECTURE CONTENTS

EXPLANATION:

What Is Data Analytics?

Data analytics is the science of analyzing raw data 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.

Understanding Data Analytics

Data analytics is a broad term that encompasses many diverse types of data analysis. Any type of information can be subjected to data analytics techniques to get insight that can be used to improve things.

For example, manufacturing companies often record the runtime, downtime, and work queue for various machines and then analyze the data to better plan the workloads so the machines operate closer to peak capacity.

The process involved in data analysis involves several different steps:

The first step is to determine the data requirements or how the data is grouped. Data may be separated by age, demographic, income, or gender. Data values may be numerical or be divided by category.

The second step in data analytics is the process of collecting it. This can be done through a variety of sources such as computers, online sources, cameras, environmental sources, or personnel.

Once the data is collected, it must be organized so it can be analyzed. The organization may take place on a spreadsheet or other form of software that can take statistical data.

The data is then cleaned up before analysis. This means it is scrubbed and checked to ensure there is no duplication or error, and that it is not incomplete. This step helps correct any errors before it goes on to a data analyst to be analyzed.

CONCLUSION:

The session conducted was very interactive. The session was concluded by the vote of thanks given by the Guest lecture committee coordinator

OUTCOMES:

After completion of the session, students learned various concepts. The session was understood well by the students and it helped them in their career building preparing them for their future corporate life.

 SUGGESTIONS FROM FEEDBACK

The feedback that the students gave for the session that they found the conducted session extremely useful
Signature of coordinator