What’s the cost of doing nothing?
- 70% of employees are expected to work heavily with data by 2025¹.
- But only 40% of employees say they are being provided with the data skills their employers expect².
A pronounced skills gap is just around the corner – and organisations need to act quickly or risk falling behind.
(Source: ¹&²Forrester, 2022)
Unleash the power of Data Analytics for better business decisions
Data analytics involves working with data to gain insights and reveal trends that would otherwise remain buried in a mass of data. This process helps businesses make better strategic decisions.
Organisations that make fast data-driven decisions understand their customers best, innovate to drive growth and sense markets more quickly and clearly than their competitors.
Although data is the fuel that drives the fourth industrial revolution, many organisations are yet to harness its power to improve decision-making and advance enterprise goals. According to a recent Sigma study, companies analyse just 12% of their data, leaving 88% untapped.
Empowering employees by raising data skills is crucial in order for businesses to transform. To harness data, companies must scale organisation-wide upskilling solutions to instill a true data culture.
Realise increased innovation
Produce actionable insights to innovate and improve every corner of your organisation.
Enjoy higher productivity
Apply data-driven decision making to improve job performance throughout your workforce.
Witness better customer experiences
Improve your service and solve the right problems for your customers by using data to work on the most impactful initiatives.
Achieve transformation goals
Give your teams the skills they need to deliver digital transformation.
Get your ‘hands dirty’ in data
Identify key insights and create meaningful visualisations.
Confidently use popular data tools
Feel equipped with the likes of SQL, Excel, Python, Tableau and more.
Practice compelling data storytelling
Communicate and influence stakeholders with clear data narratives and supporting visualisations.
BYO project
The choice to use an organisational project. Build the commercial model and outline product recommendations for future implementation.
In-demand digital skills
Embed modern product skills into your workforce that truly translate to digital transformation and broader business success.
Immediate results
Bring a project drawn directly from your business into our programs so that your people push priority projects forward within the context of learning.
Strong talent pipelines
Fortify your product talent pipelines with uplift programs to ensure deep talent pools and that your digital transformation projects remain on track.
World-class learning experience
We create a vibrant learning culture including access to an ecosystem of industry expert facilitators and learning designers.
Lasting skills uplift
Bring about real behaviour change with hands-on learning that goes beyond standard content libraries.
Industry recognised certification
Every learner receives an industry-recognised product management certification and digital badge to showcase their new capabilities.
Learning Outcomes
- Recognise the value of data analytics – and the types of problems answerable – with data
- Understand and apply important statistical concepts to data problems
- Communicate and persuade stakeholders using data visualisation and data storytelling
- Add value and gain insights using the full data analytics pipeline – from problem definition all the way to data storytelling
- Gain awareness of online data sources & search engines
- Learn key data analytics tools, including Excel, SQL, Tableau and more
Download training guide
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Frequently asked questions
How does Academy Xi design upskilling and reskilling programs to deliver a higher return on investment, faster?
We work closely with our clients as collaborative partners to build the best data analytics courses to help them accelerate decision making and actions from data insights.
We work with you to understand where your capability gaps are, design a data and analytics learning program that hones in on and addresses these gaps and continuously measure for impact, not just learner engagement.
What kind of data analytics certification do learners receive?
On successful completion of our Data and Analytics training, every learner will be issued an industry-recognised certificate in Data Analysis. We encourage learners to share their verified credential on LinkedIn to promote their data analytics certificate and to support their organisation’s commitment to upskilling.
Can we help you develop a business case to support your learning initiative?
In order to deliver the training for your team, we can provide content to support the development of a business case to match your learning strategy.
Is Data and Analytics a skill that is here for the long run? How does it map against the World Economic Forum’s Top Ten Work Skills for 2025?
The skills needed to work with data closely mirror many of the abilities the World Economic Forum outlines in their Top Ten Work Skills for 2025 list. This list maps the jobs and skills of the future.
These include: Analytical thinking & innovation (#1); Complex problem-solving (#3); Critical thinking and analysis; Reasoning, problem-solving and ideation (#10).
Data science vs data analytics - what’s the difference?
While data analysis and data science both involve working with data, the main difference is what each discipline does with that data.
Where data science is more technical (data modelling, algorithms, predictive models etc.), data analysis involves identifying trends, developing charts, and creating visual presentations to help businesses make more strategic decisions.
More Resources
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