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Statistician in Scientific Research Course
Unlock the power of data with our Statistician in Scientific Research Course. Delve into essential topics like Regression Analysis, where you'll become proficient at interpreting outputs and distinguishing correlation from causation. Explore Side Effects Analysis through demographic and categorical data insights. Enhance your skills in Descriptive Statistics, Hypothesis Testing, and Data Exploration Techniques, including data cleaning and visualisation. Conclude with actionable recommendations for future research. Elevate your statistical expertise today!
- Master regression analysis: Interpret outputs and distinguish correlation vs causation.
- Conduct side effects analysis: Analyse demographics and recognise data patterns.
- Apply descriptive statistics: Use measures of central tendency and variability effectively.
- Perform hypothesis testing: Formulate hypotheses and interpret diverse test results.
- Explore data techniques: Clean, pre-process, and handle missing data efficiently.

4 to 360 hours flexible workload
certificate recognised by the NZQA
What will I learn?
Unlock the power of data with our Statistician in Scientific Research Course. Delve into essential topics like Regression Analysis, where you'll become proficient at interpreting outputs and distinguishing correlation from causation. Explore Side Effects Analysis through demographic and categorical data insights. Enhance your skills in Descriptive Statistics, Hypothesis Testing, and Data Exploration Techniques, including data cleaning and visualisation. Conclude with actionable recommendations for future research. Elevate your statistical expertise today!
Elevify advantages
Develop skills
- Master regression analysis: Interpret outputs and distinguish correlation vs causation.
- Conduct side effects analysis: Analyse demographics and recognise data patterns.
- Apply descriptive statistics: Use measures of central tendency and variability effectively.
- Perform hypothesis testing: Formulate hypotheses and interpret diverse test results.
- Explore data techniques: Clean, pre-process, and handle missing data efficiently.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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