A list of projects done along the way to Data Science Path @ Codecademy.com:
I. Data Analysis with Pandas
Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.
1. Petal Power Inventory
2. A/B Testing for Shoefly.com
3. Page Visits Funnel
II. Data Visualization
Insights mean nothing if you can’t present them and convince others that the findings are important. But how do we present data in Python?
4. Sublime Limes' Line Graphs
5. Creates Graphs Using Matplotlib
6. Visualizing World Cup Data with Seaborn
III. SQL Basics
Learn the basics of SQL databases and write your first queries.
7. SQL Basics
IV. SQL Intermediate
Increase the number of tools in your SQL toolset by learning about aggregates and multiple tables.
8. SQL Intermediate
V. Analyze Real Data with SQL
Combine everything that you learned to solve real business problems.
9. Analyze Real Data with SQL
VI. Learn Statistics with Python
Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.
10. Central Tendency for Housing Data
11. Variance in Weather
12. Traveling to Acadia
13. Describe Exam Grade Distributions
14. Life Expectancy by Country
15. Healthcare in Different States
VII. Practical Data Cleaning
Pull and clean data from the web with this Python based course.
16. Cleaning US Census Data
VII. Machine Learning Supervised Learning
Discover how to use supervised learning techniques, in which algorithms learn from many examples of past outcomes.
17. Breast Cancer Classifier (Classification)
19. Predict Future Production of Honey (Linear Regression)
20. Predict Titanic Survival (Logistic Regression)
21. Categorizing Emails (Naive Bayes)
VIII. Machine Learning: Unsupervised Learning
Learn about how to perform learning on a dataset when we don’t have any of the answers to begin with. How do we look for inherent structure?
18. Handwriting Recognition using K-Means