Student Success
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 Bootcamp

Become a data engineer by learning how to build end-to-end 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


Choose to learn at your comfort home or at one of our campuses

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

Student Success

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

Read blogs and updates from our community and alumni

Explore different Data Science career paths and how to get started

Our free courses and workshops gives you the skills and knowledge needed to transform your career in tech

BI/Data Analytics Portfolio

Inquire about Data Analytics programs
Become a Data/BI Analyst

Contact our advisors now to learn more about our programs and courses. They are here to answer all your questions and help you embark on a successful journey.

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A business intelligence (BI) portfolio is a collection of projects, case studies, and other materials that demonstrate an individual’s skills and experience in BI. A BI portfolio can be an important tool for job seekers in the field, as it allows them to showcase their abilities to potential employers and highlight the value they can bring to an organization.

A BI portfolio might include a range of materials, such as:

  1. Data analysis projects: This could include examples of projects that demonstrate the individual’s ability to extract insights from data using tools and techniques such as data visualization, data mining, or statistical analysis.
  2. Data visualization projects: This could include examples of dashboards, reports, or other data visualizations that the individual has created using tools such as Tableau, QlikView, or Power BI.
  3. Case studies: This could include detailed descriptions of real-world projects that the individual has worked on, including the business problem being addressed, the data sources and tools used, and the results and insights obtained.
  4. Technical skills: This could include a list of programming languages and tools that the individual is proficient in, as well as any relevant certifications or training.
  5. Professional experience: This could include a summary of the individual’s past experience in BI roles, including the industries and organizations they have worked for, as well as their responsibilities and accomplishments.

In order to create a strong BI portfolio, it is important to select projects that showcase a range of skills and highlight the value that the individual has contributed to an organization or project. It may be helpful to include a mix of projects that demonstrate technical skills, such as programming or data modeling, as well as projects that showcase analytical and problem-solving skills. It is also important to include a brief description of each project and the role that the individual played in the project, as well as any key achievements or outcomes.

A BI portfolio can be created in a variety of formats, such as a website, a PDF document, or a physical portfolio. It is important to keep the portfolio up to date, adding new projects and materials as they are completed. A strong BI portfolio can help individuals to stand out in the job market and showcase their skills and experience to potential employers.

Check out other career guides

Our Career Guide provides all the resources you will need to help you get started in navigating data careers. We include free resources, guides, and tools that will help you get started.