Our Graduates work at top data science companies
Watch a sample statistical coding lesson
Our structured curriculum guides you through statistical programming concepts, from basic data manipulation to advanced statistical modeling techniques.
Enhance your understanding with comprehensive video explanations of statistical programming concepts and their practical applications in data analysis.
Practice coding statistical analyses with our step-by-step tutorials. Get real-time feedback to improve your code quality and efficiency in statistical programming.
Sharpen your skills with our curated set of statistical coding challenges, designed to prepare you for real-world data analysis tasks and technical interviews in data science roles.
Learn statistical programming in Python, R, or SAS. Our platform provides solutions and guidance for each language, catering to different preferences in the data science community.
Earn an AlgoCademy Statistical Programming Certification upon course completion, demonstrating your proficiency in coding for statistical analysis to potential employers.
You’re looking to transition into data science or boost your statistical analysis skills.
You want to learn practical coding techniques to manipulate data and perform robust statistical tests.
Even if you're new to coding, our step-by-step lessons make complex statistical concepts easy to grasp.
You’re eager to work with real-world datasets and build models that drive decision-making.
You want a comprehensive, hands-on approach that bridges theory and practice in statistical analysis.
“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
View All Testimonials
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 Graduates work at top data science companies
Swipe left through the table to compare.
Check out our YouTube channel
Yes! The content is designed to cover everything you'll encounter in real-world data analysis. We begin with basic data manipulation and gradually introduce advanced statistical models, ensuring you’re prepared for any data‐driven challenge.
Beginners welcome! While we assume a basic understanding of how computers work, no prior experience in programming or statistics is required. Our lessons start with the fundamentals and guide you every step of the way.
No drip-feeding here! You get access to everything inside AlgoCademy right away. Jump in and start applying the lessons to your own projects without any waiting period. We also regularly update and add new material, so your content library will continue to grow.
You do not need to know any specific language to benefit from our lessons. Our explanations focus primarily on core concepts and pseudocode so that everyone, regardless of background, can grasp the principles of coding for statistical analysis. We also provide guidance for Python, R, and SAS – the key languages for statistical programming.
Every day you wait is another day without honing your data analysis skills. Taking action now means you're one step closer to transforming your career. With immediate access to comprehensive lessons, hands-on projects, and a supportive community, membership will fast-track your journey to becoming a proficient data analyst.
The investment in your skills can significantly boost your career in data science, a field with high demand and competitive salaries. Beyond monetary gain, the expertise you develop will open doors to exciting opportunities and long-term career growth.
We don't offer refunds under any circumstance. You can try out our free statistical coding tutorials before deciding to subscribe.
Obviously, we’d love it if all of our members stuck around forever. If you decide to cancel, we’ll miss you, but we make the process quick and easy.
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.
© AlgoCademy 2022. All rights reserved.
