The breakdown of this course includes:
Week 1: Coding & Project Management
Week 2: Python for Data Science, Data Wrangling
Week 3: DS & Machine Learning, Regression
Week 4: Machine Learning, Classification
Week 5: Machine Learning, Supervised
Week 6: Machine Learning, Deep Learning
Week 7: Machine Learning, NLP
Week 8: Big Data, Hadoop Ecosystem
Week 9: Big Data, NoSQL I Apache Spark
Week 10: Big Data, Spark Streaming I ML
Week 11: Review and Job Referrals
Week 12: Student Demo & Hiring Week
It is hard, but you can make it. Plus, we're here to help.
Chief Instructor and Co-founder
A self-trained data scientist and an expert in applied big data technologies, Shaohua has nine years of experience in applied data science and has built a reputation for building high-performance data science teams. He is currently a senior data scientist at Kik Interactive Inc., helping the billion-dollar Canadian tech unicorn grow its big data initiative. Prior to Kik, Shaohua built a high-performance data science team at BlackBerry that focused on building innovative data science solutions for marketing, CRM, and product teams. He specializes in user interest graph modeling, targeted advertising, scalable location intelligence, and large-scale recommendation engines for mobile personalization. He also collaborated with Ryerson’s Data Science Lab on several big data research projects. Shaohua also helped build the big data course at Ryerson University, where he trained more than 150 professionals on big data technologies such as Hadoop, Spark, and data sciences.