Python for Data Science, AI & Development - offered by IBM on Coursera

For this project, you will assume the role of a Data Scientist / Data Analyst working for a new startup investment firm that helps customers invest their money in stocks. Your job is to extract financial data like historical share price and quarterly revenue reportings from various sources using Python libraries and webscraping on popular stocks. After collecting this data you will visualize it in a dashboard to identify patterns or trends. The stocks we will work with are Tesla, Amazon, AMD, and GameStop. Dashboard Analytics Displayed A dashboard often provides a view of key performance indicators in a clear way. Analyzing a data set and extracting key performance indicators will be practiced. Prompts will be used to support learning in accessing and displaying data in dashboards. Learning how to display key performance indicators on a dashboard will be included in this assignment. We will be using Plotly in this course for data visualization and is not a requirement to take this course. Watson Studio In the Python for Data Science, AI and Development course you utilized Skills Network Labs for hands-on labs. For this project you will use Skills Network Labs and Watson Studio. Skills Network Labs is a sandbox environment for learning and completing labs in courses. Whereas Watson Studio, a component of IBM Cloud Pak for Data, is a suite of tools and a collaborative environment for data scientists, data analysts, AI and machine learning engineers and domain experts to develop and deploy your projects. Review criteria There are two hands-on labs on Extracting Stock Data and one assignment to complete. You will be judged by completing two quizzes and one peer review assignment. The quizzes will test you based on the output of the hands-on labs. In the peer review assignment you will share and take screen shots of the outcomes of your assignment.

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This course taught me sets, branching, loops, functions, objects & classes, and using Pandas and Numpy to work with data.

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O repositório agrupa o código produzido durante o curso básico de Python da IBM, realizado no primeiro semestre de 2022.

This Repo consist of Python basics from IBM Data Science Course through Coursera

Notebooks realizados no curso Python for Data Science, AI and Development do IBM.

The IBM Python for Data Science, AI & Development , this course provides a solid foundation in Python programming while emphasizing its applications in data analysis, AI model development, and software engineering.

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IBM Python for Data Science, AI & Development Course

Python for Data Science, AI & Development by IBM in Coursera

Hands-On Lab from IBM Data Science Course 4 Python for Data Science, AI & Development

Taller sobre listas y tuplas en lenguaje Python correspondiente al curso "Python for Data Science, AI & Development" CURSO 4 de la certificación profesional en data science de IBM y Coursera.

I'll be uploading solutions of practice exercises provided in a course ( Python for Data Science, AI & Development ) offered on coursera by IBM Team.

Taller de uso de diccionarios en lenguaje de programación Python, haciendo uso de Jupyter Notebook, correspondiente al curso "Python for Data Science, AI & Development" de IBM y Coursera.

IBM Python for data Science, AI & Development

Python for Data Science, AI & Development

Labs of IBM Sata Science

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Hands-on labs, practice notebooks, and solutions from IBM’s Python for Data Science, AI & Development course on Coursera.

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IBM Python for Data Science, AI & Development - Lab. Activities

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Working with CSV, JSON, XLXS, XLM, Read/Save other File Formats and Data Analysis.

IBM Python for Data Science, AI and Development course completion, curated labs, and concise concept notes.

Saving progression as recommended