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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 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
AI ENGINEERING
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

Location

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

Resources

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

Blog

Learning Guide, WeCloud Faculty

4 Reasons to Choose WeCloudData

September 24, 2021

This blog post was written by WeCloudData’s Data Science Instructor, Tianshu Luan.

“To get the best result, students and faculty should work together to find the correct method of learning.”



About Me

I am a career switcher to the data scientist role. I graduated with a Bachelor of Education degree and was teaching Mathematics and English to international students. Through my years of teaching, I was always interested in incorporating technology to help students learn, such as designing a video game, creating an app that can answer students’ questions like a home tutor, or making a digital pet that grows with the students as they learn. To gain necessary skills, I know that I would need to understand the digital tools such as Python and database tools, to store the knowledge, such as SQL.



Why I Chose WeCloudData’s Program

After researching various universities and colleges and hearing various recommendations from friends, I decided on WeCloudData as the best program for me. The reasons are the following:

  1. Intensive but not extremely time consuming.
    As I mentioned above, I needed to learn various materials, from Python to SQL. The way the Data Science Diploma program is designed fitted my needs perfectly. In the course, I learned how to write basic Python and SQL scripts, design and implement machine learning models, and connect to SQL and AWS for big data projects.
  2. Real client projects.
    Towards the end of the bootcamp, students would have a chance to work with various companies on real projects. This allowed me to not only learn the theoretic concepts of machine learning, but also allowed me to practice it alongside technical teams from various companies.
  3. Plenty of guest speakers.
    Aside from the regular lessons, there are often guest speakers that come in to talk about different use cases and technologies that have proven to be useful. The guest speakers are extremely knowledgeable about their areas of expertise and are available to connect through social media to continue the discussion later.
  4. Career support.
    The team supports students with resume editing, interview training, and practice questions. This allowed me to be more confident in my job hunting. Also, there are often referrals to alumni that have graduated and are currently working in various industries.


Suggestions for Data Science Newcomers & Students

As a part of the teaching team, we are always dedicated to deliver the most interactive and engaging sessions. There are lectures in the morning along with TA office hours in the afternoon and evening to help students with any questions or discussions they have about the materials. Students are always welcome to send messages to us and we will be replying to them ASAP to allow students clear up any confusions and continue on their learning journeys.

To anyone considering the path of data scientist, the best suggestion I have for you is to practice consistently. With the way the exercises are created, we encourage our students to revisit previous questions so they can make sure they haven’t forgotten any of the materials they have learned.

For newcomers to the field, like I was, I would suggest you to take the material one at a time and make sure to understand each section before moving onto the next. Although the course is somewhat fast paced, there is plenty of time for students to practice with the exercises and TA support to help students work through the question or review the solutions.

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