Course thumbnail image Advanced Data Analysis for Healthcare Using Excel on Apollina Healthcare website

Advanced Data Analysis for Healthcare Using Excel

Advanced
M-Pesa
Visa
NITA
GDPR
ODPC
PayPal
AES
4.5 score
2,400+ learner reviews

Course Overview

Course Introduction 

This course is designed for healthcare professionals and researchers seeking advanced skills in data analysis using Microsoft Excel. Participants will explore advanced Excel functions, statistical analysis techniques, and healthcare-specific applications to enhance their ability to derive meaningful insights from healthcare datasets. 

Duration: 10 Days 

Course Outline

Course Objectives: 

  1. Develop advanced proficiency in Excel functions for healthcare data analysis. 
  2. Apply statistical analysis techniques to healthcare datasets using Excel. 

  3. Learn to visualize healthcare data effectively in Excel. 

  4. Gain practical skills in conducting advanced data analysis for healthcare research. 

Course Modules

Course Modules: 

Module 1: Advanced Excel Functions for Healthcare Data 

  • Review of basic Excel functions. 

  • Introduction to advanced functions (e.g., INDEX, MATCH, OFFSET) applicable to healthcare datasets. 

  • Practical exercises using advanced Excel functions. 

Module 2: Statistical Analysis in Excel 

  • Overview of statistical analysis techniques. 

  • Implementing statistical tests (t-tests, ANOVA, regression) in Excel. 

  • Hands-on statistical analysis using healthcare datasets. 

Module 3: PivotTables and PivotCharts in Healthcare Analysis 

  • Understanding PivotTables and PivotCharts for healthcare data. 

  • Creating dynamic reports and dashboards. 

  • Practical sessions on PivotTable applications in healthcare. 

Module 4: Data Visualization Techniques in Excel 

  • Importance of data visualization in healthcare. 

  • Creating effective charts and graphs in Excel. 

  • Design principles for healthcare data presentation. 

Module 5: Advanced Data Analysis Projects in Healthcare 

  • Integration of advanced Excel functions, statistical analysis, and data visualization. 

  • Case studies and practical applications in healthcare research. 

  • Final project: Conducting advanced data analysis on a healthcare dataset using Excel. 

Course Administration Details

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued an Apollina Healthcare certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at Apollina Healthcare Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Transfer

Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.
Email: connect@apollinahealthcare.com
Phone: (+254) 710 661 274

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Apollina Healthcare Training Centre or at a convenient location.

Payment

Payment should be transferred to the Apollina Healthcare account through a bank on or before the start of the course. Send proof of payment to: connect@apollinahealthcare.com.

Customize your Dates of Attendance
📱 Install our app for a better experience!
Message us