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Bootcamp Programs
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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




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


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


Business Intelligence

A successful data team is composed of various roles, including data analysts, data engineers, data scientists, and machine learning engineers. Each role is critical to the team and requires a unique set of skills. Join WeCloudData to learn relevant data skills and make the switch to your dream data career.

Unsure which path to take?

Business Intelligence

Business intelligence (BI) is the process of collecting, storing and analyzing data from business operations. BI provides comprehensive business metrics, in near-real time, to support better decision making. The distinctions between BI, data analytics, and business analytics are subtle, and to make things more confusing, these terms are often used interchangeably.

When you are learning BI & DA skills, you should not be distinguishing them anyways. Instead, you should be focusing on learning the right tools to apply to different use cases in order to prepare yourself for a wide range of analytics jobs.

Data analytics is more of an art than science.

Part of the job may be automated by ever-evolving tools, but a data analyst is the visual storyteller that puts the final touches to help business make better decisions.

-Eric Liu, CEO, weCareer.-

Common skill sets





Source: Glassdoor

Business Use Cases

common tools

job requirements

What do BI/Data Analysts do?
While data analytics are universal skills, data analysts and BI analysts usually work in specific business domains such as digital marketing, risk management, retail analytics, product analytics, etc. Thus, understanding different use cases is important. Below is a list of general tasks BI/DA specialists work on:
  • Work with the business to define key reporting metrics
  • Identify data sources and understand data structures
  • Extract data from databases using SQL queries
  • Clean and prepare data for analysis using Python or SQL
  • Explore and visualize data using Python
  • Identify trends in the data and summarize key insights
  • Present findings to the business teams and make analytics suggestions
  • Publish dashboards using BI tools like Tableau or PowerBI
  • Perform ad-hoc analytics and reporting to help business answer the “what” and “why”
  • Use stats packages to create business forecasts or build predictive models to determine the next best set of actions
Who should consider data analytics?

Knowing all the functionalities of Tableau doesn’t make one a great visual storyteller. Data analytics requires strong attention to detail, a focus on key metrics, and the willingness to communicate. It is a discipline that is relatively easy to grasp but may take years to get good at. The good news is that it is suitable for career switchers from any background.

How much do data analysts earn?

Salaries for BI/Data Analyst roles vary by responsibilities and industries. In general, you can expect to be paid between $60k-$80k in Canada and $70k-$90 in the U.S. Moreover, Senior Data Analysts may be paid over 100k.

Explore Business Intelligence career guide


Business Intelligence Courses

Bootcamp Programs

A 3-6 month immersive learning program designed for those who want to learn data analytics, data science, and data engineering skills Gain real industry experience and get a job in the Data & AI industry in a relatively shorter time frame.

Data Analytics
| 12 weeks
Online Live
160 hours
Portfolio Course

Already acquired data skills from other bootcamps and programs but want to learn how to build real projects? WeCloudData has two options for career-driven learners:

Data Analytics
Full-time, Part-time
| 6 months
Build your project today

Special discount for bundles

Talk to our Program Advisor


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