Details
“Every business is an analytics business, every business process is an analytics process and every person is an analytics user” – Gartner
Organisations are beginning to embrace business analytics, with IT and the business partnering to derive maximum value from their data. By 2020, data will digitalize 80% of business processes and products. Operation processes will become digitalized through machine learning. As data mining and business intelligence tools advance, more decisions will be made for your company and they will be based less on personal analysis and more on algorithms, which Gartner is calling automated judgment.
COURSE OBJECTIVE
Business Analytics Essentials is a course on how to use business analytics to make better business or organisational decisions.
COURSE DURATION
4 Days
COURSE OUTLINE
* Introduction to Business Analytics
Concepts of Business Analytics
Importance and advantages of Business Analytics
* Different Types of Analytics
Predictive Analytics, Descriptive Analytics, and Prescriptive Analytics
Text Analytics and Web Analytics
Different Application of analytics method
* Data / Information Architecture
Data / information architecture
Data Warehousing
Business intelligence
Application of Analytics in an Organisation Scenario
* Quality of Data for Business Analytics
Different types of data for analytics
Data Security and Privacy
Data Governance
Data Structures and Data Sets
* Data Mining for Business Analytics
Fundamentals of Data Mining
Objectives of Data Mining
Key aspects of Data Mining
* Data Mining Processes
Concepts of KDD
Various models in Data Mining
Data Mining Model vs Statistical Model
Data Mining Processes
* Data Mining Techniques
Supervised Machine Learning Models
Unsupervised Machine Learning Models
Statistical Models
Regression Models
Clustering and Predictive Analytics
* Tools for Data Mining
Tools for Data Mining
Data Mining Software Tools standards
Advantages and disadvantages of respective tools
* R and Python Software Tools
Introduction to R and Python
Features of R and Python
Exploration of Use Cases with R and Python
Prerequisites
NA
Examination
Participants are required to pass an examination. This exam tests a candidate’s knowledge and skills related to Machine Learning based on the syllabus covered in the course
Certification
Participants will be awarded a Certificate of Competency in Business Analytics Essentials upon meeting the requirements of the course and passing the examination.
WHO WILL BENEFIT FROM THIS COURSE?
Business Analytics Essentials is designed for anyone who have little or no understanding, knowledge of, or experience in Business Analytics and would like the opportunity to learn in a supportive and encouraging environment.
Topics
Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.
COURSE OUTCOMES
On completion of Business Analytics Essentials, participants will have acquired the essential knowledge and skills on Business Analytics
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