Our Students work at leading research institutions
Watch a sample lesson on experimental design coding
Our study plan is designed specifically for scientists and researchers, guiding you through the essential coding skills needed for experimental design and data analysis.
Learn from experienced researchers and data scientists through comprehensive video explanations that demonstrate coding techniques in real experimental scenarios.
Practice coding for experimental design with our hands-on, step-by-step interactive lessons that provide immediate feedback on your data manipulation and analysis skills.
Apply your skills to real-world experimental design challenges with our curated projects and case studies inspired by current research trends.
Learn to code for experimental design in popular scientific computing languages like Python and R, with additional resources for MATLAB and SAS users.
Earn an AlgoCademy certification in Coding for Experimental Design, demonstrating your proficiency in applying programming skills to research methodologies.
You’re trying to master coding for experimental design but don’t know where to start, or how to structure your learning effectively.
You’ve spent countless hours manually analyzing data and feel overwhelmed by the challenge of coding effective experimental designs.
Even if you understand experimental design concepts, you may struggle to translate them into reliable, high-quality code for data analysis.
You’re eager to develop the speed and precision needed to implement complex experimental designs and analyze data efficiently.
You’re overwhelmed by the abundance of information on experimental design and are seeking a concise, focused curriculum that guides you step-by-step.
“After going through all the lessons, I gained the necessary skills to perform well at my on-sites. I crushed even the DP problems, which were my biggest fear. And thanks to that I landed offers from Microsoft and Uber. Thank you AlgoCademy!”
Cristina Radulescu
Senior Software Engineer at Uber
“AlgoCademy really helped me improve my problem solving skills and write incredibly clean code. I was worried it wouldn’t be done in time for my coding interviews, but the way the curriculum is structured made me progress very quickly. Thanks for your work!”
Connor Holland
Software Engineer at Vanguard
“Wow. I've been using AlgoCademy for a while and now I can finally solve coding questions on my own. This gave me the confidence I needed for my interviews, and guess what? I landed the offer at Samsung! You guys truly kick ass. High fives!”
Ankit Kumar
Software Engineer at Samsung
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of the surveyed Graduates have added between $10,000 and $50,000 to their salary
of our Students say they’d recommend AlgoCademy to their friends
of our Students are confident that AlgoCademy will help them advance in their careers
of our Graduates enjoy their work more after joining AlgoCademy
Software Engineer & Instructor
Andrei has represented Romania in many international competitive programming contests. His highest achievement to date is winning the bronze medal at the Central European Olympiad in Informatics.
Andrei has also worked for Amazon and Keystone. Since 2015, he's been training students for the International Olympiad and preparing aspiring engineers to crush their coding interviews.
Fun fact: Andrei has a YouTube Channel and had the highest-rated course on Udemy before AlgoCademy was born.
Founder & CEO/CTO
Mircea has worked as a Software Engineer at companies including Facebook, Adobe, Ubisoft, and two NYC startups.
He has built many innovative products using algorithms and data structures, such as Autocorrect and Swipe Typing for the iOS keyboard, Music Recommendation Engine, and Real-Time Optimal Exchange Algorithm. Mircea has been a coding interview and competitive programming coach for over a decade.
Fun fact: Mircea has written a peer reviewed Scientific Paper on Algorithms.
Our Students landed jobs at
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Yes! The course is specifically designed to equip you with the coding skills necessary for experimental design, covering data analysis, simulation, and statistical evaluation through practical examples.
Absolutely! Our curriculum is designed for beginners, guiding you from the fundamentals to advanced techniques in coding for experimental design in a clear and accessible way.
We ensure that regardless of your background, you can develop the skills needed to excel.
No drip-feeding here! You get full access to all lessons and resources immediately, allowing you to learn at your own pace. We also update and expand our content regularly with new material on experimental design.
No specific language is required! Our lessons focus on fundamental concepts and pseudocode, with examples primarily in Python and R, ensuring accessibility for everyone.
Every day you delay is a day missed to advance your research skills and career. Now is the time to unlock powerful coding techniques that can revolutionize your experimental design and produce more impactful results.
Absolutely. In the rapidly evolving research landscape, mastering coding for experimental design can lead to more efficient studies, greater insights from data, and a competitive edge in your career. The skills you gain here can significantly enhance your research capabilities.
We don't offer refunds under any circumstance. You can try out our free coding tutorials before deciding to subscribe.
Obviously, we’d love it if all of our members stuck around forever. We’ve worked with students for long enough to know that it’s never going to happen. If we’ve done our job right, we should be saying goodbye as you advance in your career. If you decide to cancel, we’ll miss you, but we make the process easy. You can cancel with just two clicks.
AlgoCademy helps you translate ideas into code, guiding you step-by-step, thus making the whole learning experience more interactive than just following video lessons.
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