Summer immersion Program offer the same coverage with Our 16-week program, but more intensive schedule, which contains basic data science knowledge teaching, in-progressing Kaggle Competition and several advanced practical projects. Students will master the problem-solving skills through the process of identifying market needs, preparing data, feature engineer, model selection, model optimization, and final result presentation. We will provide our students with the most cutting-edge technology and tools in data science industry, to help them turn into a professional data scientist from scratch, step by step.
In our 16-week real internship projects, trainees will apply what they have learned from lectures in the first 8-week into practice. You will go through the End-to-End project, from identifying market and technical needs, developing the solution, to testing the initial product and deploying the final product.
Part I focuses on elementary data structures, sorting, and searching. Topics include array list, linked list, stack/queue, hash table, binary search trees, and heap. Part II focuses on graph and three categories of algorithm: Divide and Conquer, Dynamic Programming and Greedy.
Topics related with Syntactic Processing, Semantic Analysis, Information Retrieval, Chart Parsing and etc, will be covered. Practical projects with real-world data will also be offered to students, along with step-by-step instruction on how to improve your results.
Pre-requirement class for Big Data Engineer Bootcamp This course introduces fundamental structured and object-oriented programming concepts and techniques, using Java, and is intended for all who plan to use computer programming in their studies and careers. Topics covered include basics of java, like variables, arithmetic operators, control structures, arrays, functions, recursion, dynamic memory allocation, files, […]
Data Scientist Basics This Program is designed to follow the latest data science trends, teaching our students with the most common and popular tools in machine learning and artificial intelligence. Our scientists and mentors design the program from the ground up, tailored to meet the needs of data science industry. We have our trainees developed comprehensive […]
Add to Cart Financial technology, also known as “FinTech”, is the use of new technology and innovation in the marketplace of traditional financial institutions and intermediaries. The FinTech Big Data program teaches students the cutting-edge technology and the best practices in the industry with case studies and real-world projects. For Chinese introduction, Please see […]
Add to Cart Healthcare Data Science Bootcamp is an intensive, 4 weeks training program to bridge the gap between education and a career in healthcare data science. This program teaches students the industry-specific skills for data analytics in the new era of big data. For Chinese introduction, Please see here: Who can […]
Add to Cart Full-stack Data Science Engineering is the integration of data science and data engineering. A full-stack data scientist has a broad understanding of data science product life-cycle shown as blow: For Chinese introduction, Please see here: Career Goal: Software architect: a software expert who makes high-level design choices and […]
Add to Cart Supply Chain Management(SCM) boot camp is an intensive 4 weeks training program to equip students with industry-specific skills for supply chain management within the big data context. For Chinese introduction, Please see here: Topics: – Predictive modeling technology, simulations – Network design, routing, inventory optimization – SCM applications with […]