Program  

Courses
Corporate
Our Students
Resources
Bootcamp Programs
Short Courses
Portfolio Courses
Bootcamp Programs

Launch your career in Data and AI through our bootcamp programs

  • Industry-leading curriculum
  • Real portfolio/industry projects
  • Career support program
  • Both Full-time & Part-time options.
Data Science & Big Data

Become a modern data engineer by learning cloud, Airflow, Spark, Data lake/warehouse, NoSQL, and real-time data pipelines

Become a data analyst through building hands-on data/business use cases

Become an AI/ML engineer by getting specialized in deep learning, computer vision, NLP, and MLOps

Become a DevOps Engineer by learning AWS, Docker, Kubernetes, IaaS, IaC (Terraform), and CI/CD

Short Courses

Improve your data & AI skills through self-paced and instructor-led courses

  • Industry-leading curriculum
  • Portfolio projects
  • Part-time flexible schedule
AI ENGINEERING

Beginner

Intermediate

Advanced

Portfolio Courses

Learn to build impressive data/AI portfolio projects that get you hired

  • Portfolio project workshops
  • Work on real industry data & AI project
  • Job readiness assessment
  • Career support & job referrals

Build data strategies and solve ML challenges for real clients

Help real clients build BI dashboard and tell data stories

Build end to end data pipelines in the cloud for real clients

Corporate Partners

We’ve partnered with many companies on corporate upskilling, branding events, talent acquisition, as well as consulting services.

AI/Data Transformations with our customized and proven curriculum

Do you need expert help on data strategies and project implementations? 

Hire Data, AI, and Engineering talents from WeCloudData

Our Students

Meet our amazing alumni working in the Data industry

Read our students’ stories on how WeCloudData have transformed their career

Resources

Check out our events and blog posts to learn and connect with like-minded professionals working in the industry

Let’s get together and enjoy the fun from treasure hunting in massive real-world datasets

Read blogs and updates from our community and alumni

Explore different Data Science career paths and how to get started

LEARNING PATHS

Data Science

Data science uses a multidisciplinary approach to discover patterns in data and deliver data-driven insights through a fusion of coding, machine learning, domain expertise, and product design.

It usually requires different talents such as data scientists, engineers, analysts, as well as product managers working as a team to build innovative data products.

Want to become a data scientist? Read on to learn more about the role of a data scientist and how WeCloudData can help you become a data scientist.

Unsure which path to take?
introduction

Data Science

Data Scientist was listed as the No. 1 most promising job in 2020. It comes as no surprise as Data Scientist topped Glassdoor’s list of Best Jobs for the past four years, with professionals in the field reporting high demand, high salaries, and high job satisfaction.

The Sexiest
Job of the
21st Century –
Data Scientist

-Harvard Business Review-

Data Science Image

Common skill sets

AVERAGE BASE SALARY (CA)

$87,316

 

AVERAGE SALARY (US)

$116,000

Source: Glassdoor

common tools

JOB REQUIREMENTS
What do Data Scientists do?

Data scientists utilize their analytical, statistical, and programming skills to analyze, model, and interpret big data. They help business teams solve complex data challenges and product teams build data-driven products. They are usually involved in the following tasks:

  • Meet with business teams to understand the requirements
  • Clean and prepare data using Python and SQL
  • Explore data using data visualization tools
  • Build and evaluate machine learning models 
  • Work with engineers to deploy and automate the models 
  • Join scrum meetings to update project status
  • Explain models to product or business managers 
Who can become a Data Scientist?

While some data science jobs may require advanced degrees, most don’t require a Ph.D. degree. We have worked with students from various backgrounds such as accounting, MBA, and engineering to land data science jobs. Your curiosity to learn, problem-solving skills, and commitment to career transformation are key success factors. (Read our alumni stories)

How much do Data Scientists earn?

Data Scientists are well compensated! Base salary and total package may vary a lot depending on the responsibilities.

As a Junior Data Scientist, you can expect to be paid $70k-$90k in Canada and $90k-$120k in the U.S. 

Some Senior Data Scientists may get paid well over $200k. 

Explore our Data Science career guide

OUR PROGRAMS

Data Science Courses

Bootcamp Programs

It is a 3.5-6 month immersive learning program designed for those who want to learn data analytics, data science, and data engineering skills fast, gain real industry experience, and get a job in the Data & AI industry in a relatively shorter time frame.

Short Courses

Short-term online live courses that focus on specific data skills. Learn in-demand data analytics, data science, data engineering, or AI skills with industry experts in the evening, or on weekends.

Portfolio Courses

Already acquired data engineering skills from other bootcamps and programs but want to learn how to build real projects?

WeCloudData has two options for career-driven learners:

Special discount for bundles

Talk to our Program Advisor

RESOURCES

Keep up with Data Science news

Student Blog
The blog is posted by WeCloudData’s student Luis Vieira. I will be showing how to build a real-time dashboard on…
by Student WeCloudData
October 21, 2020
Uncategorized
Take a central role The Bank of Canada has a vision to be “a leading central bank—dynamic, engaged and…
by Shaohua Zhang
May 21, 2020
Uncategorized
Big Data for Data Scientists – Info Session from WeCloudData…
by WeCloudData
November 9, 2019
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WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys.

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