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How do you take care of persons with dementia
What You'll Learn:
- Sleep assessment tools
- Circadian rhythm optimization
- Sleep environment design
+2 more topics
This course focuses on practical and widely used data analytics techniques to extract meaningful insights from data. Learners will explore the end-to-end data analysis process, including data preparation, exploration, modeling, and interpretation.
Topics Covered:
- Introduction to the Data Analysis Process
- Data Cleaning and Preprocessing
- Exploratory Data Analysis (EDA)
- Statistical Techniques for Analytics
Who Is This Course For?
This course is ideal for:
- Aspiring data analysts, business analysts, and junior data scientists
- Professionals looking to upskill and apply data analysis in their roles
- Students in business, economics, computer science, or related fields
- Individuals with basic knowledge of statistics or programming (optional but helpful)
- Anyone seeking to make data-driven decisions in their personal or professional life