Increase data and AI effectiveness with active learning

Instruction is only part of what DataCamp does. Our interactive learning platform drives maximum engagement and results.

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An industry-leading platform as voted by our customers

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Users Most Likely to Recommend - Enterprise - Fall 2024 (G2 badge)
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DataCamp's active learning difference

DataCamp’s scientifically proven active learning approach (ALPA) helps your team build skills and confidence- resulting in a 6X higher course completion rate than traditional course providers.

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Identify your team’s data analytics and AI skill gaps

Use adaptive skill assessments to pinpoint your company's and employees’ strengths and weaknesses. Save time by focusing only on the skills your employees need most, and build learning around ongoing assessment outcomes.

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Boost your teams skills with hands-on interactive learning

Course videos are all supported by interactive-in-browser exercises that allow your team to apply their new skills while being guided by expert instructors and contextualized course notes. This interactive learning approach builds confidence by applying new knowledge and skills immediately.

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Reinforce new data and AI skills with daily practice challenges

Daily bite-sized practice challenges help your team achieve mastery through spaced repetition. Choose from guided and unguided practice, based on their comfort level.

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Apply knowledge on real-world projects

Allow your team to apply their coding skills to a wide range of datasets to solve real-world problems in their browser.

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Try our courses and follow the path to success

Introduction to Python
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Introduction to SQL
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Introduction to Power BI
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“If we compare other providers to DataCamp, they are polar opposites. Most learning providers are video-based, and lack that crucial interactivity needed to learn data skills. So for us, choosing DataCamp was a no-brainer.”

Scott Worland, Service Delivery Manager, Just IT
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FAQ

What is active learning?

Active learning involves learners actively engaging in the material they’re studying through exercises, problem solving, or applying information in modules to real-world examples. It requires the learner to actively apply their newly-acquired knowledge rather than passively reading or watching videos or lectures.

How does active learning help to build data skills?

Active learning helps build skills faster and more confidently because it’s activities engage learners in deeper learning and allows them to apply and transfer their knowledge more effectively. It also promotes higher order thinking skills such as analysis.

What are the benefits of active learning?

Active learning has been shown to engage learners more with the course material, build confidence in applying new knowledge and skills, and promote higher learning retention. According to Dale’s Cone of Experience, ‘learning by doing’ or active learning helps learners to retain at least 90% of the learning materials within a course. It also increases both engagement and learners’ motivation to learn through more active participation.

Start upskilling your teams today

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