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.

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


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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