Look inside
In this liveProject, you’ll build a fun (and useful!) data analysis tool that can determine which day of the week is the best to Tweet. You’ll test the hypothesis that Friday is the best day for engagement by calculating the p-variables and interpreting the results. You’ll utilize common techniques such as the permutation test and bonferroni correction to see if your hypothesis is accurate—essential skills for any data scientist.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
book resources
When you start your liveProject, you get full access to the following books for 90 days.
prerequisites
The liveProject is for data practitioners who want to improve their hypothesis testing skills. To begin this liveProject, you will need to be familiar with the following:
TOOLS
- Basic Python
- Basic pandas: Dataframes, basic feature transformations
- Basic Jupyter Notebook
- Basic statistics: basic functions and distributions
you will learn
In this liveProject, you’ll stretch your skills for hypothesis testing: one of the most important abilities of any practicing data scientist.
- Python fundamentals to set up environments to test hypotheses
- pandas and NumPy for for data operations
- Permutation test for calculating p-values
- Calculating the statistical confidence intervals
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.