Learn the language of data and enrich your analytical vocabulary. Gain the skills to interpret and analyze data, draw conclusions and make decisions, visualize and communicate your insights.
Our goal is to show you the possibilities when data and analytics fuels actions.
You will make your first steps with us. From understanding basic tables to creating practical dashboards.
Learn to communicate in the language of data, putting into practice the necessary principles of working with Novartis Data Culture.
Knowing how to work with data is a key skill today
If you are…
Decision maker
Level up your presentation skills and improve your ability to share the insights
Whether you don’t know yet who you are: an expert or a newbie, an analyst, a team lead or a future C-level, learn the language of data
Data Analyst
Widen your knowledge and reach a new level of handling the data
Business User
Learn more about the process of data analysis and the capabilities of corporate IT tools
IT expert
Enrich your visual skill set and support digital transformation of your company
Program
Day 01
Why it is important to learn how to work with data
Tools for working with Data
Data Literacy Initiative
Novartis Data Strategy
Day 02
How visualization helps you see data
Preattentive attributes
Gestalt principles
From Excel to Charts
Day 03
How to choose the right diagram
Cognitive Biases
Chart-choosers
Basics of Dataviz
Day 04
Types of dashboards
Storytelling techniques
Dashboard Design
Day 05
Data Storage
...
Data Engineering
Day 06
Data Quality
Data Catalog
Back-end of Data
...
Day 07
Examples of visual standards
Best practices of dashboard UI&UX
Math & Stats
Day 08
Active Intelligence for your department and for your company
OEM
Exploratory Data Analysis
Qlik learning path
Day 09
Active Intelligence for your department and for your company
OEM
Calculations and SQL
Qlik learning path
Day 10
Active Intelligence for your department and for your company
OEM
Machine Learning & Next steps
Qlik learning path
Master Data Management
How it works
We publish materials in separate lessons, both theoretical and practical information as well as Novartis success stories. One day — one lesson.
You read the material every day and complete simple assignments. No strong limits or mandatory homework — but with communication and support in the chat.
How much time
It depends on the current level of knowledge and the goals of participation in the marathon. Reading the material can take anywhere from 30 minutes to 2 hours per lesson if you choose deep-dive education. It is up to you to choose your own pace and intensity depending on your personal workload. In addition, the data camp materials will remain available after the end of the marathon.
Experts
Angelika Klidas
Bitmetric
Manager Operations and Data Literacy Ambassador
Sem Lemmers
Active Professionals
Lead Consultant
Lennaert van den Brink
E-mergo
Senior BI consultant
Jochem Zwienenberg
Victa BV
Product Manager
Partners
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FAQ
Would a marathon be a good fit for me?
If this is a completely new experience for you, the marathon will give you the first fundamental knowledge of working in a new data product, as well as — show the directions in the field of data visualization, in which you can further develop.
What's the best way to structure the learning process?
Try to allocate from 30 minutes to 2 hours a day for getting acquainted with theoretical materials of the day. The time spent will depend on how familiar you are with this or that topic (and how relevant it is to you now). You can read the daily longread during your morning commute to work or university, and in the evening you can devote time to a little practice, which can also take you from half an hour to a little over an hour.