Lead the Business with Analytics
(Big Data, Data Analytics, Make Data Driven Business Decisions)
Course Overview
Businesses
must understand the changing market and trends to stay ahead of competition. Data
is the foundation of new waves of productivity growth, innovation and richer
customer insight.
This is a
hands-on course with a combination of lectures, problem cases and computational
exercises. Objective of this course is introducing how businesses use data
analytics to make better decisions and drive optimal results, why data is
crucial for the organizations, how to develop a data strategy and how to
succeed in managing data analytics projects.
Target Audience
The course is for analytically minded
executive managers who are looking to leverage analytics to make critical
business decisions. This course is beneficial for professionals from various
backgrounds such as marketing, business planning, customer care, finance,
analytics and IT, etc. from telecom, banking, retail, hospitality, tourism,
healthcare, logistics and manufacturing industry.
Key Takeaways
· Enabling the delegates to build a
framework to link the business strategy with the initiatives on data analytics
and how to apply data analytics in different domains of the organization.
· Enabling the delegates in
managing data analytics projects, selecting the tools and measuring ROI, and
building data analytics teams.
· A crash course on data science to
develop the analytical thinking by understanding what is data science, what are
the fundamental analytical techniques and how statistics is applied in real
business problems.
· Developing the understanding how data
is used across different industries to deliver value.
Duration of
the Course
2 days course.
Course Outline
Day 1: Data
Analytics Crash Course
Delegates will solve business problem case study using data with
the emphasize on statistical thinking, stressing conceptual understanding
rather than mere knowledge of procedures and using MS Excel for analyzing data.
·
Data Science,
Big Data, and Machine Learning
This
section is about introducing data science, big data, machine learning, data
science venn diagram, importance of data science, different types of data and
machine learning.
·
Data
Analytics Life Cycle
In
this section delegates, will know the overview of phases and structure of a
data science project, and key roles for a successful analytics project.
·
Data Science
Toolbox
Technology
is the major component which makes possible for management to analyze data. In
this section delegates, will get an overview of technologies for data science.
·
Describing,
Estimating and Inferencing Data
Focus
of this section is on the fundamental tools and methods of data analysis and
statistics, data visualization, descriptive statistical measures, exploratory
data analysis, sampling and estimation, distributions and intervals, ANOVA and
statistical inference.
·
Basic Predictive
Analytics
In
this section, focus is to gain a basic understanding of how to use and
interpret trendlines and regression models, statistical issues associated with
interpreting regression analysis results, and practical issues in using
trendlines and regression as tools for making and evaluating decisions.
Day 2: Wining
with Data
This module will provide an overview of leading, shaping the
direction, and planning the strategies how to apply data analytics in different
segments of the organization. Delegates will solve business problems and case
studies to sharpen the analytical thinking.
·
Driving Extra
Ordinary Results
Delegates
will learn how small and large businesses from different industries using data
to deliver value in diverse area, what are the results and how they overcome
the challenges.
·
Building Strategic
Framework & Implementing Analytics
Focus
of this section is towards identifying where to play and how to win, identifying
the strategic implications and developing the strategy. Delegates will get
introduction of using big data strategy documents, business model maturity
index, prioritization matrix, measuring the ROI, requirement gathering for
analytics projects, analytics implementation methodology, and analytics change management.
·
Developing
& Acquiring the Talent
As
a data science leader, delegates need to know how to recruit, organize and
manage data science team. In this section, we will cover key roles in data
science team, what are expected qualifications and skills for each role, and how
to manage data science team.
This course is available for delivery in UAE, Kingdom of Saudi Arabia, Bahrain, Qatar, Oman, Kuwait, Egypt, Sudan, Africa, GCC.
