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