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This repository contains what I learnt when undergoing training for Data Science professional course: Data Analysis with Python

Home Page: https://www.coursera.org/learn/data-analysis-with-python

Jupyter Notebook 100.00% HTML 0.01%
data-analysis-python exploratory-data-analysis model model-evaluation python

data-analysis-with-python's Introduction

Hey, I'm Chiamaka 👋

A Web Developer and machine learning Lover

📦 Toolbox

I'm proficient in a range of technologies, including:

  • FrontEnd Development: React.js, Tailwindcss, JS, CSS, HTML.
  • BackEnd Development: Django(Coming Soon)
  • Data Tools: Excel, SQL, Power BI, IBM Cognos.
  • Version Control: Git and GitHub.
  • Python Stack: Pandas, Numpy, Matplotlib, Seaborn, Scipy, Plotly, Dash, Sklearn.

✨ Fun Facts

  • I love traveling and exploring new places.
  • As a kid, I wanted to be in the Medical Field.

📫 Contact

I'm open to collaboration, discussions, and new opportunities. Feel free to reach out!

For a quick response, DM on LinkedIn.

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