Health Data Analysis Courses

Coursera

Conducting Exploratory Data Analysis

Systematic approach to investigate data using Python: comparisons, relationships, compositions, and distributions. Framework for professional and organized exploratory data analysis with seaborn, pandas, and matplotlib.

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

Connect and Configure Data for your AppSheet App

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll use AppSheet to connect and configure data for your app.

• Coursera
• 40 minutes
• Self-Paced
• Paid Course

Packt

Complete SAS Guide - Learn SAS and Become a Data Ninja

Master SAS programming for data management and analysis. Learn importing, syntax, data manipulation, statistical techniques, SQL, macro programming, and predictive modeling. Gain practical skills for real-world applications.

• Coursera
• 14 hours 53 minutes
• Self-Paced
• Paid Course

Coursera

Copilot for Beginners: Sales Data Analysis in Excel

Master Excel's AI-powered Copilot to analyze sales data, create visualizations, and generate insights. Learn data cleaning, trend identification, and forecasting techniques for improved business analysis.

• Coursera
• 1 hour 43 minutes
• Self-Paced
• Paid Course

Packt

Data Analytics in Excel Using Real-World Examples

Master practical Excel data analytics through real-world examples, from basic functions to advanced What-If Analysis and statistical tools for informed decision-making.

• Coursera
• 6 hours 40 minutes
• Self-Paced
• Paid Course

Data Catalog: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

Fred Hutchinson Cancer Center

Data Management and Sharing for NIH Proposals

Comprehensive guide on NIH's new data management and sharing policy, covering requirements, repositories, challenges, and step-by-step plan writing for grant applicants.

• Coursera
• 5 hours 14 minutes
• Self-Paced
• Paid Course

Coursera

Create Mapping Data Flows in Azure Data Factory

Learn to create and manage mapping data flows in Azure Data Factory, including source configuration, transformations, and data storage in blob containers.

• Coursera
• 2 hours 23 minutes
• Self-Paced
• Paid Course

Edureka

Data Integration and ETL with Talend

Master Talend for efficient data integration, ETL processes, and workflow optimization. Develop skills in job creation, data format handling, and source integration to enhance data management capabilities.

• Coursera
• 10 hours 40 minutes
• Self-Paced
• Paid Course

Board Infinity

Learn Data Governance Workflows with Databricks Tools

Learn to implement effective data governance using Databricks. Covers key principles, frameworks, and practical applications, including data management, security, and real-world case studies.

• Coursera
• 7 hours 1 minute
• Self-Paced
• Paid Course

Codio

Data Security for Web Developers

Learn essential data security practices for web developers, covering SSL/TLS, GDPR, cryptography, and access control to protect user information and ensure compliance.

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

H2O.ai

Data Science and Machine Learning H2O.ai Platforms

Master H2O.ai's comprehensive data science toolkit for automated machine learning, model deployment, and generative AI applications, featuring Driverless AI, Wave App, and Enterprise GPTe.

• Coursera
• 1 hour 12 minutes
• Self-Paced
• Paid Course

Data Science and Machine Learning for Business Professionals

Discover foundational data science and machine learning skills to make confident, data-driven decisions and communicate insights effectively to stakeholders in any professional setting.

• Coursera
• 10 hours 41 minutes
• Self-Paced
• Paid Course

Edureka

Data Streaming and NLP with PySpark

Master real-time data processing and natural language analysis using PySpark's distributed computing capabilities for streaming applications and NLP tasks with hands-on implementation experience.

• Coursera
• 17 hours 41 minutes
• Self-Paced
• Paid Course

Creating Features for Time Series Data

Explore time series data analysis techniques including binning, smoothing, transformations, spectral analysis, and motif detection to create effective features for advanced analytics and modeling.

• Coursera
• 10 hours 32 minutes
• Self-Paced
• Paid Course