Julia for Beginners in Data Science

4.5
37 个评分
提供方
Coursera Project Network
在此指导项目中,您将:

Learn how to clean data.

Learn how to do exploratory data analysis.

Learn about different types of joins.

Clock1 hour 30 minutes
Beginner初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

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

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

审阅

来自JULIA FOR BEGINNERS IN DATA SCIENCE的热门评论

查看所有评论

常见问题

常见问题

还有其他问题吗?请访问 学生帮助中心