CELEBRATE PYTHON’S BIRTHDAY WITH FREE LEARNING – ALL WEEK LONG
In this project, you’ll take on the role of a data analyst and process over 54 MB of Wikipedia articles to find specific text matches. Using Python and MapReduce, you’ll build a parallel solution to efficiently search the dataset and return match details.
You’ll develop a simplified version of the grep command-line utility to find strings across multiple files. Through hands-on practice with text processing, parallel computing, and data engineering, you’ll gain valuable skills in analyzing large unstructured datasets.
Objective: Efficiently search a large text dataset using MapReduce and Python to find specific strings and build valuable big data skills.
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
Share the evidence of your hard work with your network and potential employers.
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
Practice using R to analyze movie ratings data, compare 2015 vs 2016 ratings, and apply sampling and distributions to investigate bias.
Practice statistical analysis in Python to investigate movie rating bias and determine if Fandango inflated ratings.
Practice data cleaning, analysis, and visualization in R to explore survey data and showcase your skills with R Notebooks.
Practice implementing an inventory system for a laptop store using Python classes, dictionaries, and binary search.
Practice using OOP, error handling, and randomness in Python to create an interactive gardening game simulator.
Practice building a K Nearest Neighbors classifier in Python to predict heart disease risk from patient data.
Practice using Python variables, lists, loops, conditionals, and file handling to build an interactive word-guessing game.
Practice using linear regression in R to predict condominium sale prices based on size and location in New York City.
Practice analyzing survey data in Python to uncover insights about data science careers and skills.
