Julia for Beginners in Data Science

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estrellas
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Coursera Project Network
En este proyecto guiado, tú:

Learn how to clean data.

Learn how to do exploratory data analysis.

Learn about different types of joins.

Clock1 hour 30 minutes
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

This guided project is for those who want to learn how to use Julia for data cleaning as well as exploratory analysis. This project covers the syntax of Julia from a data science perspective. So you will not build anything during the course of this project. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special Features: 1) Work with 2 real-world datasets. 2) Detailed variable description booklets are provided in the github repository for this guided project. 3) This project provides challenges with solutions to encourage you to practice. 4) The real-world applications of each function are explained. 5) Best practices and tips are provided to ensure that you learn how to use pandas efficiently. 6) You get a copy of the jupyter notebook that you create which acts as a handy reference guide. Please note that the version of Julia used is 1.0.4 Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

  • Data Science
  • Data Cleansing
  • Exploratory Data Analysis
  • julia

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Working with Dictionaries

  2. Loops and Conditional Statements

  3. Loading/Exporting Data

  4. Exploratory Data Analysis

  5. Visualization

  6. Data Cleaning

  7. Sorting Data

  8. Splitting Data

  9. Advanced Joins

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

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