infyni

Data Analytics - Live Training

Explore the intersection of healthcare and data analytics with our Live Training in Data Analytics with Nephro. we merge the principles of data analysis with insights from nephrology, empowering you to make informed decisions and contribute to advancements in kidney care.

Live Course

Live Class: Thursday, 22 Feb

Duration: 45 Hours

Enrolled: 4

Offered by: infyni

Live Course
$1875 60% off

$750

Enrollment Closed Notify Me

About Course

Dive into the world of Data Analytics with a unique focus on nephrology with our Live Training course. Designed for both healthcare professionals and data enthusiasts, this program combines the power of data analytics with insights specific to nephrology. Join our live sessions, interactive exercises, and hands-on projects to unlock the potential of data in understanding and improving nephrological outcomes.

Skills You Will Gain

Data Collection Techniques in Nephrology Data Cleaning and Preprocessing Exploratory Data Analysis (EDA) for Nephrology Predictive Modeling for Kidney Health Feature Engineering for Nephrological Data Data Visualization for Nephrology Insights Risk Stratification in Nephrology Utilizing Electronic Health Records (EHR) Data Quality Improvement Analytics Ethical Considerations in Nephrology Analytics

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)
  • Introduction &

  • significance of Python
  • Installation of Jupyter Notebook
  • Objects &
  • Operators in Python
  • Data Types &
  • Data Structures in Python
  • Control structures in Python
  • User-Defined &
  • Lambda Functions in Python

  • Class & Objects
  • Abstraction
  • Inheritance
  • Encapsulation
  • Introduction to Statistics
  • Descriptive Statistics
  • Measure of Dispersion
  • Covariance and Correlation
  • Probability Basics using Python
  • Conditional Probability
  • Probability Distributions
  • Discrete & Continuous Distributions
  • Probability Distributions using Python
  • Numpy Array
  • Array Attributes
  • Array Methods & Indexing
  • Slicing Array