The Udacity Data Analyst Nanodegree program ensure student master the necessary skills to build a career in data science at leading technology companies.
Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate critical findings. "
Co-Created by:
- mongoDB
- Kaggle
- Tableau
- Mode
Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results.
Well done by showing the key test statistics correctly step by step. Conclusion drawn is well aligned wit the test result.
Choose one of Udacity's curated datasets and investigate it using NumPy and Pandas. Go through the entire data analysis process, starting by posing a question and finishing by sharing your findings.
You have postulated several meaningful questions and have provided a thoughtful investigation in turn. Asking the right questions is, arguably, the most important part in data analysis. Well done!
Truly outstanding work on the visualizations. The plots are varied and intuitively make sense with the idea being portrayed.