Data Science With Python

Author

Hawlader Al-Mamun

Published

May 4, 2024

Preface

Welcome to my DataCamp Data Science Portfolio repository!

This repository serves as a showcase of my journey through various DataCamp courses in the field of data science. Here, you’ll find a collection of projects, practice notebooks, and code snippets that I’ve completed and worked on during my learning process.

Contents

Practice Notebooks:

Here, you’ll find notebooks where I’ve practiced various data science concepts, techniques, and algorithms taught in DataCamp courses. Feel free to explore and learn alongside me!

  1. Introduction to Python
  2. Intermediate Python
  3. Data Manipulation with pandas
  4. Joining Data with pandas
  5. Introduction to Statistics in Python
  6. Introduction to Data Visualization with Matplotlib
  7. Introduction to Data Visualization with Seaborn
  8. Python Data Science Toolbox (Part 1)
  9. Python Data Science Toolbox (Part 2)
  10. Intermediate Data Visualization with Seaborn
  11. [Exploratory Data Analysis in Python]
  12. Working with Categorical Data in Python
  13. [Data Communication Concepts]
  14. Introduction to Importing Data in Python
  15. Cleaning Data in Python
  16. [Working with Dates and Times in Python]
  17. Writing Functions in Python
  18. Introduction to Regression with statsmodels in Python
  19. [Sampling in Python]
  20. [Hypothesis Testing in Python]
  21. [Supervised Learning with scikit-learn]
  22. [Unsupervised Learning in Python]
  23. [Machine Learning with Tree-Based Models in Python]
  24. [Intermediate Importing Data in Python]
  25. [Preprocessing for Machine Learning in Python]
  26. [Developing Python Packages]
  27. [Machine Learning for Business]
  28. [Introduction to SQL]
  29. [Intermediate SQL]
  30. [Joining Data in SQL]
  31. [Introduction to Git]

Course Projects:

This section contains projects completed as part of DataCamp courses. Each project includes a detailed analysis, code implementation, and insights gained from the data.

  1. Investigating Netflix Movies
  2. A Visual History of Nobel Prize Winners
  3. Project-Exploring NYC Public School Test Result Scores
  4. Hypothesis Testing in Healthcare
  5. Predictive Modeling for Agriculture
  6. Analyzing Crime in Los Angeles
  7. Customer Analytics- Preparing Data for Modeling