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Dataquest

My solutions to problems on Dataquest

Python Programming Beginner

  • Python Basics: Files and Loops, Booleans and If Statements
  • Challenge: Files, Loops, and Conditional Logic
  • List Operations, Dictionaries, Introduction to Functions
  • Debugging Errors
  • Guided Project: Using Jupyter notebook
  • Guided Project: Explore U.S. Births

Python Programming Intermediate

  • Modules and Classes
  • Error Handling
  • List Comprehensions
  • Challenge: Modules, Classes, Error Handling, and List Comprehensions
  • Variable Scopes, Regular Expressions
  • Dates in Python
  • Guided Project: Exploring Gun Deaths in the US

Data Analysis and Visualisation

  • NumPy, Pandas
  • Working with Missing Data
  • Guided Project: Analyzing Thanksgiving Dinner
  • Line, Bar plots, Scatter plots, Histograms and Box plots
  • Guided Project: Visualizing Earnings Based On College Majors
  • Storytelling through data visualisation
  • Guided Project: Visualizing The Gender Gap In College Degrees
  • Conditional plots
  • Visualising geographic data
  • Data Cleanning: Combining, Analyzing and Visualising
  • Guided Project: Analysing NYC High School Data
  • Guided Project: Star Wars Survey

Command Line

  • Command Line Basics
  • Command Line Python Scripting
  • Working with Jupyter Console
  • Piping and Redirecting output
  • Data Cleaning and Exploration Using Csvkit
  • Git and Version Control

Working with Data Sources

  • SQL, Summary Statistics, Querying SQLite from Python
  • Joins in SQL
  • Building Complex Queries
  • Table Relations and Normalization
  • Guided Project: Designing and Creating a Database
  • Using PostgreSQL
  • Indexing
  • APIs and Web Scraping

Probability and Statistics

  • Sampling
  • Visualising and Comparing Frequency Distributions
  • Guided Project: Ivestigating Fandango Movie Ratings
  • Averages and Variability
  • Z-Scores
  • Guided Project: Finding best Markets to Advertise in
  • Probability
  • Significance Testing
  • Chi-squared tests
  • Guided Project: Winning Jeopardy

Machine Learning

  • KNN, Model Performance
  • Hyperparameter Optimization
  • Cross Validation
  • Guided Project: Predicting Car Prices
  • Calculus for Machine Learning: Linear and Non-linear functions, Limits
  • Linear Algebra for ML
  • Linear Regression for ML, Feature Selection, Gradient Descent
  • Guided Project: Predicting House Prices
  • Logistic Regression
  • K-Means clustering
  • Introduction to neural networks
  • Guided Project: Predicting the stock Market
  • Decision Trees
  • Guided Project: Predicting bike rentals
  • Machine Learning Project

Advanced Python and Computer Science

  • Memory and Unicode
  • Algorithms
  • Binary Search
  • Data Structures
  • Recursion and Advanced Data Structures
  • Guided Project: Investigating Airplane Accidents
  • Python Programming: Lambda Functions, Parellel processing

Advanced Topics in Data Science

  • Kaggle Fundamentals
  • Naive Bayes for Sentiment Analysis
  • K-Nearest Neighbors
  • Introduction to Natural Language Processing

Spark and Map Reduce

  • Introduction to spark, spark dataframes and spark sql
  • Guided Project: Transforming Hamlet Data into a dataset

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