Dataquest Data Science Path
This repository contains guided projects from Dataquest's Data Scientist path. Here's a list of courses and their corresponding guided project :
Step 1 : Python Introduction
- Python for Data Science: Fundamentals : Profitable App Profiles for the App Store and Google Play Markets
- Python for Data Science: Intermediate : Exploring Hacker News Posts
Step 2 : Data Analysis and Visualization
- Pandas and NumPy Fundamental: Exploring Ebay Car Sales
- Exploratory Data Visualization: Visualizing Earnings Based On College Majors
- Storytelling Through Data Visualization: Clean And Analyze Employee Exit Surveys
- Data Cleaning Project Walkthrough: Star Wars Survey & Analyzing NYC High School Data
Step 4 : Working with Data Sources
- SQL Fundamentals : Analyzing CIA Factbook Data Using SQL
- Intermediate SQL for Data Analysis : Answering Business Questions using SQL
- Data Analysis in Business : Popular Data Science Questions
Step 5 : Probability and Statistics
- Statistic Fundamentals : Investigating Fandango Movie Ratings
- Statistics Intermediate: Averages and Variability : Finding the Best Markets to Advertise In
- Probability: Fundamentals : Mobile App for Lottery Addiction
- Conditional Probability : Building a Spam Filter with Naive Bayes
- Hypothesis Testing: Fundamentals : Winning Jeopardy
Step 6 : Machine Learning Introduction
- Machine Learning Fundamentals : Predicting Car Prices
- Linear Regression For Machine Learning : Predicting House Sale Prices
- Decision Trees : Predicting Bike Rentals
Step 7 : Machine Learning Intermediate
- Deep Learning Fundamentals : Building A Handwritten Digits Classifier
- Kaggle Fundamentals : Creating a Kaggle Workflow