In response to the late start and weak research foundation of alpine skiing in China, based on motion data from inertial sensors, a scientific motion analysis and training guidance method for alpine skiing is studied. By analyzing key characteristics such as the athlete’s center of gravity trajectory, upper limb stability, and blade angle, specific technical points are guided, and the cosine distance between training movements and standard movement data is calculated to complete the similarity evaluation of movements. A data analysis system for alpine skiing movements is developed to complete real-time movement data transmission and display, as well as historical movement data analysis and evaluation, and to vividly display the training effects of athletes through a visual interface. This study provides data support for optimizing training strategies and improving athlete performance for coaching teams.