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data-science

Activities related to data science skill set.

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.

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Activities related to data science skill set.

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