Activities related to data science skill set.
John Rollins Process: (data-science/reference/ibm_ds/methodology)
Task | Questions Answered After Performing the Task | Content |
---|---|---|
Business Understanding | What is the problem that you are trying to solve? | |
Analytic Approach | How can you use data to answer the business question? | |
Data Requirements | What data do you need to answer the question? | DS0103EN-Review-From-Requirements-to-Collection.ipynb |
Data Collection | Where is the data sourced from, and how will you receive the data? | DS0103EN-Review-From-Requirements-to-Collection.ipynb |
Data Understanding | Does the data you collected represent the problem to be solved? | DS0103EN-Exercise-From-U-to-P.ipynb |
Data Preparation | What additional work is required to manipulate and work with the data? | DS0103EN-Exercise-From-U-to-P.ipynb |
Modeling | When you apply data visualizations, do you see answers that address the business problem? | DS0103EN-Exercise-From-Modeling-to-Evaluation.ipynb |
Evaluation | Does the data model answer the intial business question, or must you adjust the data? | DS0103EN-Exercise-From-Modeling-to-Evaluation.ipynb |
Deployment | Can you put the model into practice? | |
Feedback | Can you get constructive feedback from the data and the stakeholder to answer the business question? |
Python for Data Science: (data-science/reference/ibm_ds/python)
Python for Data Science Project: (Final Assignment-Jupyter Notebook.ipynb)
The course 5 project from the IBM Data Science Certificate Program exposes the learner to building a Python Notebook that exhibits knowledge and exemplifies the following Web Scraping and Dashboarding skills:
claim | description |
---|---|
claim 1 | display tables, such as historical stock data of a publicly traded company, from a website, such as Yahoo Finance, using the yfinance library visible from Question 1, Question 3; |
claim 2 | display tables, such as historical revenue data of a publicly traded company, from a website, such as Yahoo Finance, using the bs4 and pandas library, read_html() visible from Question 2, Question 4; and |
claim 3 | plot sequence or time series data, such as historical stock and revenue data of a publicly traded company, from a data frame using the pandas library and user-defined method, make_graph() visible from Question 5, Question 6. |
claim 4 | To see claims 1 to 3 in action, you may run the python notebook using this Google Colab Cloud Environment free of charge. |