Introduction to Business Analytics


Develop essential data analytics skills to grow your business

What you will learn

Basics of analytics terminology

How data is used to make business decisions

Identify the ideal analytical methodology for your specific needs

Understand ways to collect, analyze, and visualize data

Descriptive Analytics and how they are embedded in most organisations

An understanding of how predictive models can improve your ability to make decisions in an uncertain world

Prescriptive Analytics and how it helps to formulate recommendations of what you should do

What is Data Management: Architecture, Quality and Privacy

Master fundamental concepts and practices of the analytics life cycle and understand the best practices for each stage

Description

This is a non-technical program, no coding background is required.

This course offers an introduction to big data analytics, statistics and data-driven decision making for all business professionals, including those with no prior analytics knowledge.

Analytical skills are essential in any business. There is a growing need for employees across all areas to know how to read, interpret, and present data in a way that can be understood across all functions and inform decision making. Analytics is listed in 2021 as one of the top 10 skills requested by employers and recruiters. Almost every company in the world now is using data to make better decisions.


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This course presents an overview of the field of business and marketing analytics and data science for you to make informed business decisions.

It is an introduction to the different analytics methodologies and how are they used, and is not intended to prepare learners to perform analytics themselves but to gain knowledge of what analytics can do. If you are curious about the different analytics techniques and the possibilities that they offer this course is for you.

The course has a duration of around 4 hours and includes quizzes, assignments and a final test that you will need to pass to get the certificate.

English
language

Content

Welcome

Introduction to the course

What is Analytics?

Definition of Analytics
History of Analytics
Analytics Buzz Words
Module 1 Quizz

Analytics Landscape

Analytics Landscape: Descriptive, Predictive, Prescriptive
Analytics Landscape Quiz

Descriptive Analytics

Business Intelligence
Data analysis
Market Research
Statistics
Econometrics
Descriptive Analytics Quiz

Predictive Analytics

Predictive Models
Data Mining
Text Analytics
Predictive Analytics Quiz

Prescriptive analytics

Computer vision
Operations research
Signal processing
Image processing
Natural language processing
Metaheuristics
Prescriptive Analytics – Quiz

Data Management

Data Architecture
Data Quality
Master Data
Data Privacy
Data Management Quiz

Data-Analtyics Life cycle

Data-Analytics Life cycle
Data Creation – How data is generated
Data Creation – What is a source system?
Data Creation – How is data extracted from Source Systems?
Data Creation – Data Replication
Data Storage – What is a Data Warehouse?
Data Storage – Different DWH technologies
Data Storage – The concept of ETL/ELT
Data Storage – Databases & Data modelling
Data Use- SQL Language
Data Use- Python
Data Use- R
Data Reporting – Data Visualization
Data Reporting – Ad-Hoc Analysis
Data Reporting – Executive Reporting
Data-Analytics Life Cycle Quiz

Course Wrap-up

Final Knowledge Test
Thank you and see you soon