Webinar On Introduction to Data Analytics & Its Tools By CSE

Title of Event             :Introduction to Data Analytics & Its Tools

Date of Event             :15.05.2020

Total No. of Participants     :70

Student Participants :Nil

Faculty Participants :70

Venue                         :Webinar(C M R Engg College)

Coordinators             :DR.D.Palanivel Rajan Prof / CSE

Aim & Objective:

To Know about the Data Analytics and what are the tools available to develop it.Data collection and analysis tools are defined as a series of charts, maps, and diagrams designed to collect, interpret, and present data for a wide range of applications and industries. Various programs and methodologies have been developed for use in nearly any industry, ranging from manufacturing and quality assurance to research groups and data collection companies.

Description:

            Covered Data Analytics and its various Applications. Use the following tools to collect or analyze data:

Box and whisker plot: A tool used to display and analyze multiple sets of variation data on a single graph.

Check sheet: A generic tool that can be adapted for a wide variety of purposes, the check sheet is a structured, prepared form for collecting and analyzing data.

Control chart: A graph used to study how a process changes over time. Comparing current data to historical control limits leads to conclusions about whether the process variation is consistent (in control) or is unpredictable (out of control, affected by special causes of variation).

Design of experiments (DOE): A method for carrying out carefully planned experiments on a process. Usually, design of experiments involves a series of experiments that start by looking broadly at a great many variables and then focus on the few critical ones.

Histogram: The most commonly used graph for showing frequency distributions, or how often each different value in a set of data occurs.

Scatter diagram: A diagram that graphs pairs of numerical data, one variable on each axis, to look for a relationship.

Stratification: A technique that separates data gathered from a variety of sources so that patterns can be seen.

Survey: Data collected from targeted groups of people about their opinions, behavior or knowledge. 

DATA COLLECTION TOOLS & TEMPLATES

1. Box and whisker plot (Excel)
2. Check sheet (Excel)
3. Control chart (Excel)
4. Design of experiments (DOE) (Excel)
5. Histogram (Excel)
6. Scatter diagram (Excel)
7. Stratification (Excel)

Benefits in terms of Learning:

                                 Know about the Various Applications of Data Science field where it Applicable and how to  implement it.

Sample Image:-