Data Analytics

Businesses and organisations rely on data analysis to make critical strategic choices in today’s data-driven environment; therefore, data analysis becomes crucial to the survival and development of every company these days.

Organisations may make thoughtful, well-informed decisions with the aid of data analysis. Expert data analysts are in high demand right now. Analysing data collections to identify trends and make judgments about the facts they contain is known as data analytics (DA).

More often than not, specialist hardware and software are used to do data analytics. To help businesses, make better business decisions, data analytics tools and methodologies are widely employed in the commercial sector.

Analytics tools are also used by scientists and researchers to support or refute scientific models, ideas, and hypotheses.

Prerequisite

No prerequisite, however basic Data Sciences excel, SQL and Tableau knowledge would be helpful.

Course Objective

• Introduction to Data Analytics Essentials

• Start a Project Portfolio – Data Analytics Projects

• Getting started with Data Gathering and Investigation

• Preparing and Cleaning Data for Analysis

• Transforming Data with Excel

• Analyse the Data Using Statistics

• Introduction to Relational Databases and SQL

• Introduction to Structured Queries

• Introduction to Tableau

• Ethics and Bias in Data

• Take the Next Steps

• Data Analytics Essentials Exam/Projects

Job Roles

You will be able to fit-in the job roles such as:

• Data Analyst

• Data Engineers

• Data Strategist

• Database Administrator

• Data Scientist

• Data Architect

• Statistician

• Business Analyst

• Data and Analytics Manager