Cody Spicer's Portfolio

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IBM Data Analyst Professional Certificate

The IBM Data Analyst Professional Certificate was completed as a series of nine individual courses to receive an identity-verified certificate and unique IBM digital badge credentials.

This program offers the ability to learn the core principles of data analysis and gain hands-on skills practice. Working with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, I gained practical experience with data manipulation and applying analytical techniques; culminating with my IBM Data Analyst Capstone Project, “Technological Trend Analysis.”

Here is a brief synopsis of what I learned, followed by the nine-course listing:

✦ Demonstrate proficiency in using spreadsheets and utilizing Excel to perform a variety of data analysis tasks like data wrangling and data mining.

✦ Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services.

✦ Create various charts and plots in Excel & work with IBM Cognos Analytics to build dashboards. Visualize data using Python libraries like Matplotlib.

✦ Describe data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks.

The nine-course certificate includes:

  • Intro to Data Analytics
  • Excel Basics for Data Analysis
  • DataViz & Dashboards w Excel & Cognos
  • Databases & SQL for Data Science w Python
  • Python for Data Science, AI & Development
  • Python Project for Data Science
  • Data Analysis with Python
  • Data Visualizations with Python
  • IBM Data Analyst Capstone Project

Below are the finished projects for the first eight courses on GitHub and in IBM Watson Studio w/ Cognos, concluding with the IBM Data Analyst Capstone Project, “Technological Trend Analysis,” located here in my portfolio.

Capstone Project   |  Cognos Dashboard  |  GitHub | Verify Certificate

If you have any questions and would like to learn more about this or any project, are interested in networking, or ready to discuss why I should be your next analyst, please don’t hesitate to reach out directly through the contact form, by email at codyhspicer@gmail.com, by phone at (210) 272-7534, or let’s connect through LinkedIntoday. I look forward to hearing from you!

Kind regards,

© 2022 Cody Spicer. All rights reserved.

 

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