Health Data Analysis Courses

CSET Health Science Subtest I (178) Prep

Comprehensive preparation for CSET Health Science Subtest I, covering essential topics from health education foundations to disease prevention through bite-sized lessons and assessments.

• Study.com
• 16 hours
• Self-Paced
• Paid Course

Packt

Python Data Analysis

Master Python data analysis using NumPy, pandas, and scikit-learn. Clean, process, and visualize data, apply machine learning, and work with databases for real-world data projects.

• Coursera
• 1 day 4 hours 10 minutes
• Self-Paced
• Paid Course

Packt

Python Data Model

Master Python's data model by implementing special methods for iteration, comparison, operator overloading, context managers, and serialization to build efficient, behavior-rich custom objects.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Python Data Science: pandas, Matplotlib, and Seaborn

Master pandas DataFrames, Matplotlib, and Seaborn to analyze, manipulate, and visualize data effectively in Python for comprehensive data science workflows.

• Coursera
• 10 hours 20 minutes
• Self-Paced
• Paid Course

Python Data Science: NumPy

Master NumPy fundamentals for data science: create arrays, load/save data, analyze datasets, and transform arrays for effective data manipulation and insights extraction.

• Coursera
• 4 hours 25 minutes
• Self-Paced
• Paid Course

Python Data Science: Environment Setup

Discover how to set up a Python data science environment using Anaconda and Jupyter for effective business data analysis and knowledge extraction.

• Coursera
• 2 hours 25 minutes
• Self-Paced
• Paid Course

Coursera

Public Health Principles: Systems and Strategies

Explore public health systems, evaluate policies, design communication campaigns, and foster collaboration to drive meaningful change and enhance population health outcomes.

• Coursera
• 3 hours 50 minutes
• Self-Paced
• Paid Course

Coursera

PySpark Foundations: Process, analyze, and summarize data

Master PySpark fundamentals for big data analysis through hands-on HR data processing, from environment setup to data visualization and aggregation. Build practical skills for handling large-scale datasets efficiently.

• Coursera
• 1 hour 35 minutes
• Self-Paced
• Paid Course

Packt

Python Course for Data Analysis - Become Data Analyst

Master Python fundamentals and data analysis using NumPy, Pandas, and Matplotlib through hands-on projects and real-world exercises to become a confident data analyst.

• Coursera
• 19 hours 43 minutes
• Self-Paced
• Paid Course

Packt

Python Fundamentals and Data Science Essentials

Master Python fundamentals and essential data science skills. Learn data analysis with NumPy and Pandas, explore machine learning concepts, and apply knowledge through practical case studies.

• Coursera
• 16 hours 24 minutes
• Self-Paced
• Paid Course

Packt

Python Foundations for Data Handling

Master Python's essential data structures and string manipulation techniques to efficiently handle, visualize, and solve complex data problems in real-world applications.

• Coursera
• 5 hours 8 minutes
• Self-Paced
• Paid Course

Packt

Python Programming and Data Science Foundations for AI

Master Python programming and data science fundamentals through hands-on projects, from basic syntax to machine learning concepts, preparing you for AI application development.

• Coursera
• 1 day 5 hours 50 minutes
• Self-Paced
• Paid Course

Edureka

PySpark in Action: Hands-On Data Processing

Master PySpark for distributed data processing, from RDD basics to advanced DataFrame operations and SQL queries. Handle big data efficiently using hands-on exercises and real-world applications.

• Coursera
• 15 hours 11 minutes
• Self-Paced
• Paid Course

Packt

Python Programming And Libraries for Data Science

Master Python libraries like NumPy, Pandas, and Matplotlib for data science, plus object-oriented programming, file handling, and exception management through hands-on exercises.

• Coursera
• 8 hours 24 minutes
• Self-Paced
• Paid Course

Career Certificate

Google Advanced Data Analytics

Expand your data analytics skills with hands-on projects using Jupyter Notebook, Python, and Tableau. Prepare for senior roles through advanced topics like machine learning and predictive modeling.

• Coursera
• Self-Paced
• Paid Course
• 7 courses