Навыки, которые вы получите:
A/B testing Numpy Pandas Matplotlib Jupyter SciPy Python
Data is everywhere. That means more companies are tracking, analyzing, and using the insights they find to make better decisions. In this Skill Path, you’ll learn the fundamentals of data analysis while building Python skills.
For those who want to
- Gain Python skills.
- Learn data analytics.
- Move beyond Excel.
- Introduction to Data Analysis.
- Introduction to Python.
- NumPy: A Python Library for Statistics.
- Data Manipulation with Pandas.
- Data Visualization with Matplotlib.
- Statistics for Data Analysis.
- Hypothesis Testing with SciPy.
- Final Projects.
What will you learn
- Use your Python skills to better present the data by visualizing it with graphs, charts, and more.
- Statistics can be tricky, but you’ll have no problem analyzing data to make more informed decisions.
- Check your gut instincts by designing and running A/B tests to further evaluate the data.