Available for High School Students
Instructor-Led Live Online Programs
July 11 - 22, 2022 | July 25 - Aug 5, 2022
Mon-Fri 10:30 - 4:00 pm
FREE Information Session
March 31, 2022 7:00 PM – 8:00 PM EST
A Proven Curriculum
AHEAD - Analytics Head Start LLC provides training programs in business and data analytics for students and professionals. Our current services include summer and afterschool training programs. The Analytics Head Start (AHEAD) program is designed to introduce analytics concepts and techniques for analyzing large data sets for discovering knowledge and actionable information in a data-driven world.
Analytics is the integration of the major theories, tools, and approaches to identify and successfully communicate data-driven insights for informed decision making in the digital age.
Taking High School Students AHEAD
The current target audience for AHEAD is high school students in grades 9, 10, 11 & 12 who want a head start in a data-driven world. These young minds increase their chances of distinguishing themselves and being successful in a rapidly changing world. The program provides an opportunity for students to learn in an enjoyable, stress-free environment.
For high school students AHEAD develops analytical thinking in a digital age, helps in college readiness, enhances college admission competitiveness, creates long-term relationships with professionals in education and business
Data Analytics Skills You Need
We live in an increasingly data-driven world. Everyone needs a basic understanding of how this massive amount of data can be leveraged for strategic planning and decision making. The AHEAD program gives you a head start in analytics. The topics covered in this course include data exploration, dimension reduction, data visualization, predictive performance evaluation, multiple linear regression, k-nearest neighbors, naïve Bayes classifier, logistic regression, and association rules. Students apply these methods to real-world applications which are tailored to the cohort.
AHEAD is arguably the first known program dedicated to teaching analytics to high school students.
Our curriculum is developed, tested and taught by distinguished scholars and leading practitioners. They bring seasoned expertise and dedication to both the classroom and their one-on-one discussions.
Our board consists of the Director of Data Analytics Engineering Program at Northeastern University, research scholars, Ph.D.’s and program managers who have managed analytics programs for the City of Boston and Harvard University.
We ensure teachers use our proprietary teaching, planning and reporting process to stay in touch with students and keep them updated on progress.
We develop close partnerships with educational institutions globally.
I had a truly incredible experience this summer at the AHEAD Data Analytics program and I am greatly thankful for the work put in to make the program what it was. The topics of business analytics and machine learning seemed impenetrably complex to me at the offset of the program, but the way you translated the material into real life understandable examples made the material much more approachable and made for a very informative and enjoyable learning experience... The information you taught over the course of the program is something I will carry throughout my professional life.
— Saketh Saripalli (Boston, MA)
This course was a great learning experience, I am so happy I did it and I would recommend it to anyone I meet.
The instructors were awesome and really knew what they were talking about and were great at teaching it to students. It was a great introduction to data analytics and I learned a ton of new useful skills that I would of not otherwise known.
I really enjoyed this course. I learned a lot from it and had a lot of fun.
— Jack Tsai (Summer 2020)
Overall, I had a wonderful experience in this class. Before I had been using the coding language python in data science, but this course allowed me to learn R programming, something I hadn't used before. This course has helped me develop the basic skills in data analytics.
— Pooja Kantheti (Summer 2020)
— Naveh Gershon (Summer 2020)
— Evan Morgan (Summer 2020)