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Data Science at Scale - Big Data Foundation FREE TRIAL

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80 Bloor St W, Room 500

80 Bloor Street West

Toronto, ON M5S 2V1

Canada

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As the major banks in Canada have built their own data science teams and started to carry out proof-of-concept projects, data scientists who are able to use big data tools, like Hadoop, Hive, Scala, and Spark have become one of the most in-demand and highest-paying jobs in Canada. With our rich experience in data science training, we have designed the most comprehensive and easy-to-follow curriculum for our students. We believe that practice makes perfect, so our course is embedded with labs and projects to help you hone your skills.

Founded in Toronto, WeCloudData has well-connected networks in data science and data analytics fields in various industries in Canada, making sure that we offer firsthand job opportunity information to our students.

We assembled the top talents from famous data-driven companies in North America to design the most comprehensive, effective and cost-efficient learning path to help you land your first data scientist job.

Our alumni have started their data scientist jobs in many large companies and enjoying their work every single day.


What am I going to get from this course?

  • A training course teaches you HOW to learn and extend your big data knowledge
  • 50% theory + 50% hands-on lab + take home assignments + a capstone project
  • Data science skills that will be in high demand in the next 10 years (Python, AWS, Hadoop, Spark, NoSQL)
  • Building your own data science portfolio from the very first session and get you prepared for the job market
  • Practical use cases that help you bridge the gap between academia and industry

Why WeCloudData?

Comprehensive, hands-on, systematic and simple

Placement

  • Students have had great success in initial job placements and in their subsequent careers.
  • Well connected industry network that helps you land good jobs

Our instructor

  • Our instructors play key roles in data science departments in some of the most well-known data-driven companies in North America
  • Our instructors use python, spark and cloud platforms on a daily basis to tackle data science/engineering problems and they teach students to focus on things that actually matter in workplace
  • Our instructors are good presenters and story tellers

Capstone project

  • Apart from the lab exercises we provide for each class, we also ask students to involve in a capstone project after class. And our TA's will provide timely online support via email or any social media you’re comfortable with.

Office hours/Online support

  • During the 2 months learning period, we believe effective learning happens outside the classroom through practice and reinforcement. Our TA's and instructors provide office hours and also online support. It is our belief that being able to address students’ questions face to face will yield the best learning outcome.
  • You will get a one-on-one coffee meeting with instructors who will learn about your career goal, needs, strengths and short boards. We will offer practical advices to help you get your dream offer.

Our Instructor

Shaohua Zhang

Chief Instructor and Cofounder at WeCloudData

A self-trained data scientist and an expert in applied big data technologies, Shaohua has 9 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. His is specialized in user interest graph modelling, 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 over 150 professionals on big data technologies such as Hadoop, Spark and data sciences.

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80 Bloor St W, Room 500

80 Bloor Street West

Toronto, ON M5S 2V1

Canada

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