Program  

Courses
Location
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
Data Engineering

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

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

Read blogs and updates from our community and alumni

Explore different Data Science career paths and how to get started

Blog

Guest Blog

Introduction to Machine Learning In Healthcare

October 28, 2019

Machine learning applications in healthcare was a great hit with the NYC audience. At least 130 enthusiastic attendees joined the Bots and AI Meetup on December 10th, with the crowd extending far to the back of the room.

Lucy He of Flatiron Health kicked off the night with an examination of machine learning’s impact in medical study cohort selection. A recurring theme was machine learning augmenting the work of human and focusing their efforts. Electronic Medical Records (EMR) are unstructured and can often be quite inscrutable, free-flowing and resistant to complete automation so humans are often involved in tagging and extracting data. That time is expensive so machine learning can serve to make predictions on what patient data is likely to be a fit for a study and prioritize and reduce the workload of the human curators.

Another key aspect of effective cohort studies involves ensuring that the cohort isn’t biased reducing its effectiveness. One bias measurement technique involves identifying and comparing the distributions of clinically relevant variables in an ML generated cohort compared to the reference standard.

Videos of the complete talks by both Flatiron Health and TalkSpace can be viewed on YouTube:

Michael Frank, Director of Strategy at Pfizer, provided a number of use cases improving drug design R&D efficiency. AI work with Generative Adversarial Networks (GANs) can predict and propose more effective molecule shapes. Machine learning can also predict and improve potency and yield of molecular compounds. Lastly, ML algorithms can ingest data and draw parallels and conclusions across disparate data sets and research papers on indications, disease pathways, efficacy, and toxicity of individual therapies as well as interactions between therapies.

Image recognition, often deep learning, for identifying pathology such as tumors in medical imaging is making large strides. Another interesting avenue that is emerging is using wearables that collect data and predict impairment or risk. Wearers can be told to proactively visit a practitioner before a worse outcome manifests, a stroke risk for example.

Augmenting business decision making is also a powerful applied AI capability. Trends and momentum can be highlighted by machine learning algorithms exploring industry areas. They can also serve to identify white space where a crowded market still has opportunities for entry.

Michael Frank, Director of Strategy at Pfizer

Finally, Nick Lamm of Talkspace brought the evening back to the chatbot roots of Bots & AI. Of particular interest to healthcare audiences, Nick explained some aspects of vendor and tool selection for HIPAA-BAA compliance and some nuances with cloud services. While Amazon can be used as a cloud platform, not every service available there is compliant. Talkspace is a fan of Rasa Core for keeping local chat data ownership.

Talkspace is experimenting with NLP but their current early release is using smart and guided dialogs. Creating a bot with crafted dialog choices and personalized context memory is often a more successful technique to establish user journey effectiveness prior to adding intent misclassification risk added by free text analysis with NLP.

Nick Lamm of Talkspace

Marketing and Psychology are not an unusual combination. Motivational interviewing is not just an effective psychotherapy technique but also a powerful sales/marketing technique that can be leveraged even in chatbots to help build trust/rapport and ultimately gain customers.

Healthcare is such a large space of opportunities and the audience appreciated being able to take in three perspectives. After the event, we were overwhelmed with the number of excited audience members eager for further healthcare themed content as well as interest in speaking.

Other blogs you might like
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
Big Data for Data Scientists – Info Session from WeCloudData…
by WeCloudData
November 9, 2019
Previous
Next

Kick start your career transformation

WeCloudData

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.

Sign up for newsletter
This field is for validation purposes and should be left unchanged.