One of the biggest shifts in education over the past few years has been the rise of self-paced learning. With students juggling busy schedules, internships, part-time jobs, and extracurricular activities, the traditional classroom model doesn’t always provide the flexibility they need. That’s why universities and employers alike are placing more emphasis on programs and tools that let learners set their own pace.
Self-paced learning allows students to:
Revisit difficult topics without feeling rushed.
Move ahead quickly in areas they already understand.
Balance academics with personal and professional responsibilities.
And it’s not just about convenience. Research shows that when students have control over their learning journey, they retain more knowledge and build stronger skills for the real world.
Where Qlik’s Academic Program Fits In
The Qlik Academic Program is designed with this same philosophy in mind. Every student and educator who joins the program gets free, self-paced access to:
Online training modules on data analytics and visualization.
Qualifications and certifications to showcase on a resume or LinkedIn profile.
Interactive lesson plans and resources that can be used in or outside the classroom.
Qlik software, so students can practice and apply their skills right away.
Whether you’re a professor designing flexible assignments or a student looking to upskill on your own schedule, Qlik’s Academic Program makes it possible to learn at your pace and still achieve professional-level results.
Why It Matters Now
With the demand for data literacy and analytics skills growing across every industry, students who take advantage of self-paced resources like Qlik’s Academic Program are positioning themselves ahead of the curve. Employers aren’t just looking for degrees—they want proof of hands-on, applicable skills. Earning Qlik qualifications through self-paced learning is one way to stand out.
Take the Next Step
Education isn’t just happening in the classroom anymore—it’s happening anytime, anywhere. If you’re ready to take control of your learning journey and gain the skills employers value most, the Qlik Academic Program is here to support you every step of the way.
👉 Sign up today and start learning at your own pace:https://www.qlik.com/us/company/academic-program
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Stanford University researchers say yes.
At the Learning Analytics and Knowledge Conference (LAK ’25), they revealed that looking at just two to five hours of student activity in intelligent tutoring systems or educational games can predict, months in advance, how those students will perform on end-of-year standardized tests.Data from intelligent tutors helps predict K-12 academic outcomes, study finds | Stanford Report
Researchers analyzed only the early interaction logs and used machine learning to spot patterns. The surprise? These short-term models were just as accurate as those built from an entire year of data.
As Professor Emma Brunskill from Stanford explains:
“In education, we often are interested in delayed outcomes like end-of-the-year assessments, but it would be useful if we could predict those outcomes using shorter amounts of data from educational software platforms.”
This shows you don’t need massive datasets to uncover valuable insights, you need the skills to interpret them. Early predictions like this allow teachers to act sooner, whether that means offering extra help or providing greater challenges.
That’s where data literacy comes in. When you know how to explore and interpret data, you can spot patterns early, act with precision, and track results over time.
The Qlik Academic Program helps make that possible, offering free access to Qlik Sense analytics software, self-paced training, certifications, and resources to apply insights ethically and effectively.
Ready to explore your own data?
Join for free: www.qlik.com/academicprogram
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Qlik Academic Program and ICT Academy's engagement has been very fruitful over the years. Various initiatives have been undertaken and successfully accomplished, benefitting the academic community in India.
In an era where data drives innovation, decision-making, and efficiency across every industry, the need for data-literate professionals has never been more pressing. That’s where the Qlik Academic Program comes in—a free initiative designed to equip university educators and students with the skills and tools necessary to thrive in the data analytics field.
The fall semester is just around the corner—sooner than many of us would like! As you begin planning for another academic year, we know how much time and effort goes into designing course content, creating assignments, and building assessments.
What if some of that work was already done for you?
With the Qlik Academic Program, you’ll have access to ready-made curriculum materials, including lesson plans, assignments, quizzes, and even exams—all designed to help students build real-world data skills. You can use our resources as-is or tailor them to fit the unique needs of your class.
And you don’t have to go it alone. We’re here to help you integrate Qlik into your course, introduce your students to the platform, and get everyone up and running before the semester begins. Whether you want a quick onboarding session or a full student workshop, we’ll support you every step of the way.
By incorporating Qlik into your classroom, you’re not just preparing your syllabus—you’re helping students gain valuable skills that translate directly to the job market.
Let us help take one thing off your plate this fall. Reach out now to get started, and let’s make this semester a little less stressful—and a lot more impactful.
Please reach to me directly to get on the schedule!https://www.linkedin.com/in/brittany-fournier-27694176/
To sign up for our Academic Program, please go to:https://www.qlik.com/us/company/academic-program
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The old saying, GIGO-garbage in, garbage out, stays relevant even today with the world of fast evolving technologies. In particular, the world of data-AI is no different. Your AI projects are majorly impacted by the quality of data and therefore data has to be "ready" for AI. What might be relevant for one particular AI project might not be relevant to another. Getting your AI project to deliver the right outcomes is dependent on the processes brought to the table with the data in question.
In recent years, data analytics has emerged as a game-changer in the healthcare industry. From improving patient outcomes to streamlining hospital operations, analytics is helping healthcare providers make faster, more informed decisions.
In today’s world, data is everywhere—and it’s shaping decisions in every field. From predicting climate trends to improving patient outcomes, analyzing customer behavior to studying historical patterns, data is no longer confined to IT departments or finance teams. It’s a vital language across all disciplines. That’s why data literacy isn’t just a technical skill—it’s a core competency every student should graduate with.
Whether you're a business major optimizing supply chains, a psychology student studying behavior patterns, or a nursing student tracking patient data, your ability to interpret, question, and communicate with data will be essential to your success. It’s not just about understanding numbers—it's about turning information into insight.
Today, artificial intelligence can look through millions of pieces of data in just a few seconds. This helps companies identify patterns, make predictions, and work more efficiently. AI is changing how we use data. It's no longer just about looking at what happened in the past. Now, it helps us plan, test ideas, and find new opportunities.
However, even with all this technology, one thing remains true: we still need to ask the right questions. Without good questions, data won’t help us make good decisions.
