Our Students Work for
Our students come from various industry and academic backgrounds. Join a group of like-minded professionals to learn and pracrtice data skills, and stay connected via our strong alumni networks and meetup communities
100+ Hiring Partners | 89% Placement Rate
Why WeCloudData?
Industry-grade Hands-on Projects
With an exclusive focus on portfolio building, we coach students to complete hands-on projects that can differentiate and impress employers
Expert Instructors and Mentors
Unlike universities and online courses, we train students with industry best practices by design
Strong Hiring Network
Tap into our alumni and industry networks for mentorship and job opportunities
Learning Paths
Data Science
With a strong focus on portfolio building, the Data Science program teaches students leading-edge open-source tools and mentors them on completing end-to-end data projects. By completing the data science program, you will learn 15+ advanced ml algorithms (Xgboost, Catboost, Collaborative Filtering, LSTM, etc.), master 10+ tools and platforms (Hadoop, Hive, Spark, Presto, AWS, Docker, etc.), and be able to build 5 portfolio projects (Scraping, Visualization, ML, Big Data, etc.)Artificial Intelligence
Learn applied deep learning techniques, build hands-on AI portfolio applications, and get specialized in different topics. By completing the AI program, you will be able to master essential DL theory, build hands-on projects, harness various industry use casesData Engineering
The Data Engineering program teaches students to build modern data integration pipelines using leading-edge open-source tools and platforms: Apache Spark, Kubernetes, Airflow, Flink, Kafka, AWS. By completing this program, you will be able to harness the power of Apache Spark, master ETL pipelines on Kubernetes, and complete end-to-end data integration projectsCloud Computing
Learn essential cloud computing skills that get you certified as a cloud architect, engineer and big data specialist. Put what you learn to practice via hands-on projects. After completing the Cloud Computing courses, you will be prepared for taking the AWS, Azure, GCP certification exams.Placeholder
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With a strong focus on portfolio building, the Data Science program teaches students leading-edge open-source tools and mentors them on completing end-to-end data projects. By completing the data science program, you will learn 15+ advanced ml algorithms (Xgboost, Catboost, Collaborative Filtering, LSTM, etc.), master 10+ tools and platforms (Hadoop, Hive, Spark, Presto, AWS, Docker, etc.), and be able to build 5 portfolio projects (Scraping, Visualization, ML, Big Data, etc.)
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Our Instructors
If 10 out of 100 data experts are passionate about teaching, maybe only 2 can teach well. At WeCloudData, we are very proud to have partnered with talented and passionate teachers who genuinely want to give back!
Meet Our Instructors
Our instructors are industry experts and passionate teachers
Our instructors teach you practical knowledge that are hard to find online
Our instructors teach you HOW TO LEARN instead of WHAT TO LEARN
Corporate Training & Talent Partner Program
WeCloudData has provided customized data science, engineering, and big data training sessions (both instructor-led and online live) to many Canadian companies. Contact us today to inquire about our corporate learning program and learn about our success stories of helping transform corporate data teams to leverage modern data skills such as Python, Machine Learning, Apache Spark, and Cloud
Companies that train with us:
What People Are Saying
This course is amazing, I have visited different institutions before I made my decision and comparing teachers expertise versus price WeCloudDate is undoubtedly the number one! We can learn through market cases with technical instructions on how to solve practical SQL and Python problems (show more)
Celio Oliveira
I started this course without formal programming or statistics/math background. I really enjoyed the top-down approach used by Vinny, not only does it keep you interested when learning the libraries and syntax, it also drives you to peruse more self-learning. Vinny along with the TA Rhys were (more)
Sinthushan Sooriyakumar
Shaohua is an experienced instructor and he explained the complex tech problem and put them into lots of flow charts which were easy to understand, especially for MapReduce and Spark Lineage, the theories were rooted deeply into our mind. and never forget. I will recommend anyone interested (more)
Linda Jin
A great place to learn and practice data science. I am taking Machine Learning course currently, and the instructor Vanessa is amazing, and I get a lot of hands-on exercises, and feedback. I like that the course is not only teaching you how to code, but also teach you the fundamental theories (more)
Minjung Koo