Free preview available
New York, United States · Study online with UKSM

Certificate in Healthcare Data Analytics (Foundation)

This course covers data analysis techniques specific to healthcare settings, equipping students with skills to interpret and utilize healthcare data
Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
4441 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Health Data Fundamentals

2

Data Management In Healthcare

3

Statistical Methods For Health Analytics

4

Predictive Modeling In Healthcare

5

Data Visualization For Health Professionals

6

Health Informatics Standards

7

Ethical And Legal Issues In Health Data

8

Quality Improvement Analytics

9

Population Health Data Analysis

10

Introduction To Machine Learning In Healthcare

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
Self-paced
Learn on your time
Certificate
Included in fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Planning and Management
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
JM
James Mitchell
GB · Course completed

The Certificate in Healthcare Data Analytics (Foundation) delivered exactly what I needed to meet my professional goals. The modules on SQL for healthcare datasets and the hands‑on labs with Tableau gave me the confidence to build dashboards that my team now uses for monthly KPI reporting. The course materials were clear, up‑to‑date with NHS data standards, and the case studies on patient flow optimisation were directly applicable to my role as a data analyst. Overall, the learning experience was seamless and highly satisfying – I can now contribute actionable insights to improve patient outcomes.

JR
Jessica Rivera
US · Course completed

I signed up for this foundation course hoping to get a solid grounding in healthcare analytics, and it definitely delivered. The video lessons on data cleaning were super practical – I actually used the same techniques on my hospital’s EMR data the next week. The practical assignments, like creating a predictive model for readmission rates in Python, helped me turn theory into real‑world skills. The material was relevant and easy to follow, and the community forum kept me motivated throughout. All in all, a great stepping stone for anyone looking to break into health data.

AP
Ananya Patel
IN · Course completed

Wow! This course exceeded my expectations. The deep dive into HL7 and FHIR standards was eye‑opening, and the hands‑on projects let me practice importing real patient data into a secure analytics environment. I especially loved the interactive labs where we built a cost‑analysis model for a regional hospital using R – the skills I gained are already being applied at my workplace. The course content was fresh, the instructors were responsive, and the overall experience left me feeling enthusiastic and ready to take on bigger data challenges.

ZD
Zanele Dlamini
ZA · Course completed

The foundation certificate gave me a detailed understanding of the entire analytics pipeline in a healthcare setting. From the introductory module on data governance to the advanced session on predictive analytics using machine learning, every topic was covered with depth and clarity. I found the real‑world case study on disease surveillance in South Africa particularly valuable; it taught me how to clean large datasets and visualize trends with Power BI. The quality of the reading material, the structured assignments, and the supportive tutor feedback all contributed to a rewarding learning journey.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026