Data Skills Unlocked
We accelerate non-technical teams with the essential data storytelling and analytics skills.
Data skills for everyone
We enable teams to build and solve problems using their own data.
Social Learning
No passive videos. Learn with colleagues and access 1on1 mentorship.
Personalized Project
Get hands-on with a problem contextualized for your team and dataset.
Democratize technical skills
Empowering employees with diverse backgrounds to access in-demand data skills.
How learning sprints work
Learning Sprints make effective digital learning possible at work to deliver the critical skills your teams need without ineffective video lectures.
Case Study
We upskilled the marketing team to leverage advanced analytics technique that helped them access higher quality campaign insights extract maximum value from social listening tools.
Other Sprints
Data Storytelling and Insights
Learn with your team how create compelling data stories and insights for your business.
Why would this be useful?
This is an intensive and immersive short experiential workshop course that will strengthen the ability to weave in data-driven insights, analytically rigorous statistics, and beautiful visualisations to any presentation. Data storytelling adds credibility and information that is useful for stakeholders.
who is this for?
Teams that regularly report to clients or senior stakeholders and wish to enhance their credibility as trusted advisors.
Program Duration
12 hours spread out over 3 sessions
Mode of Delivery
Virtual Instructor-Led with Virtual Small Group Coaching
Learning Outcomes
- How to select and design beautiful data visualisations for powerful stories
- How to derive insights from data that speak to client needs
- How to structure data narratives for storytelling
- The core statistics used in data storytelling for executive communication
- How to present and communicate data to stakeholders with actionable recommendations for data-driven decision-making
Behavioural Outcomes
- Teams can produce higher quality insights that go beyond pure descriptive analytics and instead provide high-quality insights that generate actionable recommendations
- Teams can report and communicate results to stakeholders in a more persuasive and effective manner using data storytelling
Fundamentals of Data Analytics
Give non-technical employees the skills to leverage data for everyday use.
Why would this be useful?
This is an intensive and immersive short experiential workshop course to move learners beyond descriptive reporting into useful and easy-to-execute data analysis techniques that yield actionable insights for stakeholders.
who is this for?
Teams that have no formal background in data analysis or statistics, but regularly interact with data and reporting.
Program Duration
12 hours spread out over 3 sessions
Mode of Delivery
Virtual Instructor-Led with Virtual Small Group Coaching
Learning Outcomes
- How to create fantastic data-driven reports
- How to build two of the following: cohort analysis, funnel analysis, segmentation analysis, correlation analysis, or benchmark analysis
- How to process data for analysis
- How to present and communicate data to stakeholders with actionable recommendations for data-driven decision-making
Behavioural Outcomes
- Teams can save time by processing and analysing data more rapidly
- Teams can produce higher quality insights that go beyond pure descriptive analytics and instead provide high-quality insights that generate actionable recommendations
- Teams can report and communicate results to stakeholders in a more persuasive and effective manner using data storytelling
Core Data Analytics
Give non-technical employees the skills to leverage data for everyday use.
Why would this be useful?
This is an intensive and immersive short experiential workshop course to introduce learners to the core tools in the data analyst’s toolkit, including tools dedicated to advanced data visualisation (Tableau or Microsoft PowerBI), tools for querying big data (SQL), or predictive analytic techniques for forecasting and modelling.
who is this for?
Teams that work with data regularly and have outgrown the basics of descriptive reporting and working with Excel.
Program Duration
12 hours spread out over 3 sessions
Mode of Delivery
Virtual Instructor-Led with Virtual Small Group Coaching
Learning Outcomes
- How to build use one of the following visualisation tools: Microsoft PowerBI, Tableau
- How to carry out one of the following analyses: regression analysis, time series analysis, querying big data with SQL, or Python (add 3 hours if Python is chosen as an analytic tool)
- How to select and design beautiful data visualisations for powerful stories
- How to present and communicate data to stakeholders with actionable recommendations for data-driven decision-making
Behavioural Outcomes
- Teams can effectively get value from some of the most popular data and powerful visualisation and analytical tools
- Teams can free time from data engineering and data science teams by carrying out more data querying, processing, and analytics autonomously
- Teams can produce higher quality insights that go beyond descriptive analytics and instead provide high-quality insights that generate actionable recommendations
Advanced Data Analytics and Machine Learning
Empower data-fluent employees to step into data specialist roles in analytics and data science.
Why would this be useful?
Machine learning models address many of the same challenges of more simple tools and models, but can do so with higher accuracy results and for a wider variety of problems. Python is a flexible tool that can help set up models as well as provide great value in data engineering and processing, hence its status as the dominant tool in the field. Anyone already doing analytics should look forward to levelling up their skill with the most powerful tools available to modern computing.
who is this for?
Teams that already regularly carry out data analytics with non-coding tools, and are ready to move on to machine learning.
Program Duration
12 hours spread out over 3 sessions
Mode of Delivery
Virtual Instructor-Led with Virtual Small Group Coaching
Learning Outcomes
- How to use Python to process data and set up machine learning models
- How to carry out one of the following analyses using Machine Learning: classification algorithm, forecasting algorithm, segmentation algorithm, clustering algorithm
- How to evaluate machine learning models and improve their performance
- How to communicate about machine learning to data science and non-data science audiences
Behavioural Outcomes
- Teams can effectively develop statistical models with machine learning that provide answers to complex business challenges
- Teams can free time from data engineering and data science teams by carrying out more data processing and modelling autonomously
- Teams can communicate about machine learning to both technical and non-technical teams
Data for Managers
Help managers identify opportunities that drive business value using data.
Why would this be useful?
Data is still a foreign language for many managers, and the ability to translate between business requirements and the technical jargon of data analysis and data science teams is a sought-after skill in the 21st century. This short experiential set of workshops, structured as a business case study, helps managers to learn the language of data, conceptualise data projects, and understand how to assess the performance of technical and non-technical teams when it comes to data outputs and models.
who is this for?
Managers who wish to improve the data literacy of their teams and who interact with data analytics teams.
Program Duration
9 hours spread out over 3 sessions
Mode of Delivery
Virtual Instructor-Led with Virtual Small Group Coaching
Learning Outcomes
- How to translate business requirements into data science inputs
- How to understand data science jargon
- How to conceptualise and evaluate successful data science projects
- How to encourage a data-driven culture in your team
- How to make data-driven decisions
Behavioural Outcomes
- Managers can develop useful data science project proposals based on their needs
- Managers can better work with data science teams, support their projects, and evaluate their outputs
- Managers can foster a conducive team culture for data-driven decision-making & leadership
How teams were transformed
Eskwelabs designed structured and effective cohort-based courses that offered career mobility to our customer support staff serving tech giants to move into digital roles.
Ryan Bobos
Kumu is building a rocketship and Eskwelabs has been a key cog to make this happen. Eskwelabs created the right formula to enable success for our teams.