3,400+
employees enrolled in global Data Academy
Customer story
How Bayer increased productivity with AI and data upskilling
Upskilling a small team? Get started today
3.6 hours
average weekly productivity gain per learner
90%
of learners report developing innovative ideas post-training
Drive measurable impact from upskilling
Request a Demo“We’re updating how we produce food in ways that we haven’t innovated in hundreds of years. By creating the Data Academy, we set out to provide our employees with training that keeps them competitive within their workforce, able to create innovative assets for our consumers, and build sustainable solutions for some of the world's most pressing demands.”
The solution: A scalable learning foundation with DataCamp
Customizable, role-relevant learning
When Bayer explored learning partners for its Data Academy, DataCamp stood out for both range and relevance. Through the extensive course catalog, spanning fields like data analytics, statistics, machine learning, SQL, and generative AI, multiple learner personas are supported through a single solution.
"DataCamp was a very easy partner to select because of the course catalog they provide, and the ability to customize course content and learning paths," says Colleen. "All of those components come together to provide an end-to-end solution for upskilling a wide variety of personas within our company. They're constantly developing their curriculum, which allows us to stay up to date on the most recent advancements in the field of machine learning or AI."
Bayer organized their Academy into three broad tiers, reflecting the different ways teams interact with data and AI:
- For all employees: building general digital acumen, including working with generative AI tools like Microsoft Copilot and prompt engineering techniques.
- For lab and field scientists: upskilling in data analytics and visualization, SQL, statistics, and machine learning.
- For AI and data analysts and experts: developing advanced skills to build predictive pipeline models and advance AI initiatives, like computer vision applications and LLM chatbot engines.
Learning designed to fit into daily work
DataCamp’s structured courses, combining video tutorials, hands-on exercises, and focused chapters, help teams at Bayer to progress quickly and fit learning around their daily tasks.
"The overwhelming positive feedback that we receive for DataCamp is how accessible and digestible the content is," says Colleen. "Teams really enjoy working through those videos and getting their hands inside those practice modules. They also love working with some of those assessments because it allows them to see where they're at, within a particular skill level. They can work through chapters, in between tasks."
Applying new skills to solve real problems
To move learners from theory to practice, Bayer pairs DataCamp learning with capstone projects. After completing courses, employees apply what they’ve learned to real Bayer use cases, ranging from greenhouse research to how to build neural networks, demonstrating their proficiency and identifying opportunities to create business value.
“My learning on DataCamp has been instrumental in helping me visualize and understand the practical applications of AI, particularly in the context of Bayer's business operations.”
The results: Productivity, confidence, and real-world impact
Unlocking innovation and time savings
After expanding the Academy to enroll over 3,400 employees, teams across Bayer are now reaping the benefits of increased AI and data fluency, resulting in improved innovation and measurable time savings.
"Through our partnership with DataCamp via our Data Academy initiative, we’ve seen some very impressive outcomes," says Colleen. "Learners have reported on average about 3.6 hours a week in productivity gains and over 90% of them mentioned that they have come up with some innovative workflow process or product after their training with DataCamp. We’ve also seen several patents and publications come out of these courses."
In one case, a researcher in a tomato viscosity lab applied new advanced statistical techniques learned through DataCamp, helping the lab to save thousands of dollars by improving decision-making and extraction of value from their research.
Another learner was empowered to escalate his research to new levels, by applying computer vision and machine learning techniques to increase the efficiency of aphid inspections. This saved lab time by reducing manual effort, while improving the insights extracted from data.
“I wanted to refresh my skills in Python, SQL, and implementation of different machine learning algorithms. With the knowledge that I learned with DataCamp, it became easier for me to handle the data science work of developing machine learning models for product performance prediction.”
“One piece of advice I would have is to pair DataCamp learning with real world applications. This not only makes it more relatable for learners by helping them understand how to apply the skills they gain into their daily roles, it also shows how to use them to solve real world problems. ”
See DataCamp in action
Discover how DataCamp can accelerate your data and AI transformation goals.