Here is the Part of Business Analytics Training. BeamSync is providing analytics training in Bangalore along with R tool. If you are planning your career into analytics field, then visit BeamSync.

1. INTRODUCTION TO ANALYTICS
Part 2

2. TECHNIQUES INVOLVED IN DEFINING A PROBLEM
• State the problem in a general way
• Understand the nature of the problem
• Survey the available literature
• Go for discussions for developing ideas
• Rephrase the research problem into a working proposition

3. TYPES OF DATA
QualitativeData
• Data expressed as groups or categories
• Descriptive data
• E.g. Dividing a population into high,
medium and low height groups
QuantitativeData
• Data expressed as numbers
• DefinitiveData
• E.g. The height of a person
● Data can be of two types – qualitative and quantitative

4. SUMMARIZING DATA
● Summarizing is the process of converting
huge amounts of raw data into a format
that can be easily analyzed.
● Summaries differ based on the type of
data; and can be descriptive or graphical.
MaritalStatus Frequency
Single 203
Married 2,580
Widowed 334
Divorced 367
Separated 46
Total 3,530

5. SUMMARIZING DATA
Numeric - Descriptive
• Mean
• Median
• Mode
Categorical - Descriptive
• Frequency distribution tables
Numeric -Graphical
• Boxplot
Categorical -Graphical
• Bar charts
• Histograms

6. DATA COLLECTION
● Process of collecting relevant data that aids
in solving the problem statement
● Data Collection process needs to be defined,
and systematic.
● Observations need to be recorded and
organized for optimal usefulness
Collect Relevant Data
Categorize the Data
Organize theData

7. DATA COLLECTION METHODS
● Data collection methods fall
broadly into two categories –
primary and secondary.
● Primary methods are where
the data is gathered directly
through investigating,
experimenting or observing
various entities.
● Secondary methods refer to
the methods where the data
has already been gathered
before the study, and is
available as already published
facts and reports.
Observation
Experiment
Census
Questionnaire
Survey
Reporting
Registration
Data Sources

8. ● A Data Dictionary is a file that describes the structure of the database itself.
● Includes details like –
● Number of records
● Name of eachfield
● Characteristic of each field
● Description of eachfield
● Relationships between differentfields
● It helps in analyzing different data variables and their relationships between each other.
DATA DICTIONARY

9. OUTLIER TREATMENT
● Outlier is a point or an observation that
deviates significantly from the other
observations.
● Due to experimental errors or “special
circumstances”
● Outlier detection tests to check for
outliers
● Outlier treatment –
● Retention
● Exclusion
● Other treatmentmethods
Outlier!
Study time(Minutes)
Mark(Percentage)

10. Thank You
If you are looking for business analytics training in Bangalore then
visit: http://beamsync.com/business-analytics-training-bangalore/
Next Part We will Publish Soon.