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2. BUSINESS
ANALYTICS SERVICES
In today’s complex business environment opinion based
decisions results in business outcomes mired with
sporadic successes. The growth of business analytics
helps organizations to address this issue with data-
driven decisions. Business analytics is about the use of
extensive data that are available either within the
organization or collected through secondary sources to
make business related decisions. Business analytics
takes decision making from ‘Art’ to ‘Science’ end.
3. SESSIONS
In This is an all-out program that enables participants to
familiarise in Microsoft Excel's data handling and
managing features. The 12-hour online faculty led live
online training aims at exploiting, analysing and
interpreting business data as a vital artifice.
Note: The sessions are Live, Faculty-Led and taught by
industrial experts having real-time work experience of
having handled big data.
4. CHAPTERS
Chapter-1: Introduction to Analytics, Data & Basic
Statistics
How is Big Data changing the way things were? – Big
Data in HR. – How big is Big Data? – Explaining the
evolution of Big Data Revolution. Technology Driving Big
Data.
5. CHAPTERS
Chapter-2: Demystifying Big data
Characteristics of Big Data. – Deep Web & Surface Web.
Getting Started with Business Intelligence (BI)
Definition of Business Intelligence. – Features of
Business Intelligence. – Visibility provided by BI. –
Differences between ERP & BI. - Difference between Big
Data & Business Intelligence.
6. CHAPTERS
Chapter-3: Data Analytics using Microsoft Excel
Use Excel to sort data with pivot tables-create
histograms and other charts for data visualization-
calculate summary statistics-create indicator variables
for qualitative information.
7. CHAPTERS
Chapter-4: Measuring association between variables
Visually examine data (via Excel charts, sparklines, etc.)
and identify trends-Construct linear regression models
in Excel-Evaluate linear regression model quality-Use
models to forecast demand and interface with Excel
Solver to make operational decisions.
8. CHAPTERS
Analytics applications
Learn how to forecast sales using trend data - Prepare
pro-forma financial statements - Understand the link
between growth and financing needs - Learn to calculate
sustainable growth rate algebraically and also by using
Excel Goal seek.
9. CHAPTERS
Forecasting Budgeting numbers
Basics of Time Series, Time Series on Summarised
Reports & Forecasting Logistic Regression, Decision
Trees, Creating a policy on basics of Analytics.
Chapter-5: Information Management in Analytics
Analytic Software - R, Excel, Solver, Basics of Big Data -
Hadoop, HDFS, Hive, Pig, Python.
10. SCHEDULE
Business Analytics Training - Online Batch – 20 Hours
Part-I: Faculty-Led Online Training – 12 Hours
Training on Friday & Saturday for 3 weeks
Friday Time: 6:30 PM to 8:30 PM (IST)
Saturday Time: 03:00 PM to 05:00 PM (IST)
Part-II: Training Through Learning Management System -
(LMS) - 8 Hours
Training for a duration of 6 hours at your convenience
You will receive a dedicated login to access our LMS.
11. PROFESSIONAL
CERTIFICATIONS
These globally accredited certificates are best tools to
instil best practices in organizations. Fhyzics provides
training towards CCBA®, CBAP®, CPRE credentials.
Endorsed Education Provider™ (EEP™) of
International Institute of Business Analysis (IIBA®),
Canada
Registered Education Provider [R.E.P] of
International Requirements Engineering Board [IREB®],
Germany