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Data-Driven Decision Making

Hyper Island
Course summary
3 days
1,610 - 2,059 GBP excl. VAT
English
Singapore, Stockholm
Open / Scheduled
Hyper Island

Course description

Data-Driven Decision Making - Data Analytics Course

A hands-on data analytics course on understanding and leveraging data into business insights.

Turn data into actionable business insights

Data is the new gold for businesses. This three-day intensive data analytics course is designed to help you identify, transform, and utilize data as a source of business growth.

You will be introduced to the modern data landscape, and how data is used in different businesses and industries. Learn how to collect data with APIs and scraping tools, visualise data analytics, build business KPI dashboards and formulate a clear approach to data in your business. You will also process the surrounding social, ethical and legal issues that may need to be considered when working with data in today’s digital era.

By the end of this data analytics course, you will be equipped with the skills, knowledge and confidence you need to approach, understand and work with data in your organization.

Program content

What you'll learn

Knowledge

You should know what APIs are, how they can be used, and why they’re so important. In addition, you should be familiar with the concepts of Big Data and Open Data – how they affect you both personally and professionally, and how you can apply them effectively. You should also have a clear picture of the legal and ethical aspects of data. 

Skills

You will be able to understand how to effectively collect and use data to support your business teams and goals. You will be able to work with scraping data and calling APIs, and be able to transform and manipulate it into meaningful visualizations. You should also be able to use the right tools to transform data into a useable format for analysis. You should be able to apply business intelligence and analytics to data.

Competence

You should know how to build a data plan for your organization, which includes forming hypotheses and using data to judge their validity. You should also be confident when prototyping and verifying business concepts and campaigns using data. If you don’t work with data specifically, you will be able to better collaborate with data and marketing specialists to generate accurate data insights for your business instead.

Lesson plan

Day 1

The Data-Driven World

  • Big data in the modern world and business world
  • Explore sources of data relevant to businesses
  • Becoming a data detective with a data mindset
  • Use widely available tools to manage and draw insights from data

Day 2

Using Data for Business

  • Turning data into actionable insights
  • Aligning data with your business goals
  • Exploring Google Analytics
  • Data scraping and manipulation
  • Introduction to popular scraping tools
  • Turning data into an application or service for collaboration

Day 3

Telling Better Stories with Data

  • Storytelling with data
  • How visualization and representing data can aid decision making
  • How visualization through dashboards and command centers can improve the quality and speed of decisions in their business
  • Creating a data action plan for your organization
  • Discuss the legal, social and privacy issues involved with manipulating data

Who takes this data analytics course?

Our data analytics course is attended by students of varying skills and experience, to encourage a broad exchange of perspectives and challenges from different industries, countries and experiences. From total beginners to data scientists, the Data Driven Decision Making course will give you the skills and knowledge to bring data into your business decisions, strategies and cross-team collaboration.

Does this sound like you?

  • You want to use data for decision-making to support business, growth and user experience
  • You want to learn how to find, understand, visualize and analyze data
  • You want to gain insights into different ways of exploring data to support your colleagues and organization

What you'll be doing

Develop a data mindset

Think like a data analyst and understand how data can provide invaluable business insights across sales, marketing, customer experience and overall business strategy

Explore real data

Use social media data and tools like Google Analytics

Use data to solve business problems

Find, scrape and manipulate data for real business solutions

Create data visualizations and dashboards

Learn how to present that data you’ve collected to build a dashboard that helps your teams succeed

Turn data into insights

Understand how to create action items from the data you are presenting. Recognise the difference between signal and noise

Solve hands-on tasks

Work on real data tasks designed to build competence and collaboration in your daily work

Get feedback and collaborate

Individual feedback and cross-role/industry peer collaboration to accelerate your learning

About provider

Hyper Island

Hyper Island

Hyper Island is more than a global learning provider. It’s also a rich community of students, former students (alumni), external collaborators and lifelong learning experts. We all come together to create positive change – that is beneficial not just to...


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Contact info

Hyper Island

Impact Hub, York Way, Kings Cross
N1 9AB London

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www.hyperisland.com


Reviews

Alex N
(4)
Happy with the content and trainers
C Wong
(5)
That it can give people the confidence to approach this big complex theme of 'data' even if they haven't worked in anything similar before! And super cool behind-the-scene industry examples (by Jesper & Stefan in particular) that shows how data IS applied in the real-world today.
P Delombre
(3)
It opens up new possibilities with Data that I did not see before; detect fraud, make real-time recommendations, drive community growth. The trainers and facilitators were highly skilled in their areas, taking both the big picture as well as a pragmatic approach to the training. An amazing group of talented people with the heart at the right place.
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