Project Overview

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 a detailed project description for a Data Science/Analyst role in a startup investment firm. Here's a summary of the project tasks and review criteria:


Project Description:


Role: Data Scientist / Data Analyst

Company: Startup investment firm helping customers invest in stocks

Objective: Extract financial data (e.g., historical share price, quarterly revenue) from various sources for popular stocks (e.g., Tesla, Amazon, AMD, GameStop)

Tools: Python libraries for webscraping, data visualization with Plotly, Skills Network Labs, and Watson Studio

Dashboard Analytics Displayed:


Visualization of key performance indicators (KPIs) for the selected stocks

Analysis of data patterns and trends using the dashboard

Review Criteria:


Completion of two hands-on labs on Extracting Stock Data

Completion of one assignment

Performance on two quizzes based on the labs' outputs

Submission of a peer review assignment, including screenshots of the assignment outcomes

Overall, the project involves practical application of data extraction, analysis, and visualization skills using Python, along with utilizing Skills Network Labs and Watson Studio for hands-on learning and project development. The review criteria focus on assessing understanding and proficiency in these areas through quizzes and peer review assignments.






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