Understanding Proper Data Analytics

Data analytics is the process of analyzing raw data to
uncover hidden patterns, such as Market trends, Data
correlations, Customer preferences, Performance analysis, and
other useful business information that enables companies and
organisations make better, informed, data backed decisions.
Applications of Analytics covers all departments in an
organization including; Marketing, Finance, Customer Service,
Risk, Sales. In today’s challenging and competitive
environment, Data Analytics cannot be overlooked to stay
ahead of the competition.
With Data Analytics,a new concept in most organisations, we
are sometimes short of proper understanding of what it really
entails or what value it brings to the table. Without this
understanding managers cannot decide if it is worth the
financial investment and analysts do not know if acquiring
skills in data analytics would increase their analytical abilities
and professional worth.
This course is focused on developing an all-round
understanding of Data Analytics, its strengths and areas of
applications. It will separate the myth from the facts and give
participants a practitioner’s view of what data analytics really
entails by adopting real scenarios to buttress key points.
Data Analytics is a bit more than you envisaged.
Registration
There are very limited slots. To register reach Evans on
08135487554, 07012956959 and eotalor@gmail.com or
Michael on 08089382423 andmike@urbizedge.com
Course Duration
1 Day
Course Delivery
This course is non-technical and is focused on understanding
of analytics concepts and processes. It is a key step for
organisations that intend to leverage data analytics to
improve processes and for analysts that intend to venture into
the world of data analytics
Target Participants
Managers, Analysts, Analytics enthusiasts
Course Outline
Introductions
· Introduction to Data
o What is Data
o Data structure
o Data Gathering
o Data Storage
· Introduction to Business Analytics
o Analytical Thinking
o Understanding Data
o Analytical Process
· Analytical Grouping
o Descriptive Statistics
o Predictive Analytics
o Prescriptive Analytics
Platforms
· Microsoft Excel
· Advanced Analytical Platforms
o R/Python
o SAS/SPSS/Knime/Alteryx
· Business Intelligence and Data Visualization
Platforms
o PowerBI
o Tableau/Spotfire/Qlik
Analytics Models
· Monitoring models
· Management models
· Decision models
Analytical Projects
· Sales Analytics
· Marketing Analytics
· Social Media Analytics
· Risk Analytics
· Process Optimization
Facilitator
Evans Otalor (BSc, MSc, ACSI)
Evans is currently the Principal Quantitative Solutions
Consultant at Ingress Solutions. He is an experienced
analytics professional with demonstrated track record
successfully structuring and managing analytic projects with
Banks, TELCOs, and FMCGs.
Skilled in the application of Mathematical and Statistical
Methods to collect, organize, interpret, and summarize data
for quantitative modelling projects that include both Data
Analysis and Predictive Modelling to aid insight extraction,
Risk Disclosure, Reporting, Measuring, Monitoring, and
Predicting.
Highly experienced in Financial Modelling, Business Analysis,
and Data Mining. Expert user of Microsoft Applications
(Including MS Excel, Data Mining Add-in, Power BI, and
PowerPoint), R, SPSS Modeler, Alteryx, Knime, Spotfire,
Tableau, and various Data Analysis/Visualization tools.