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분석 과제 발굴 TOP NEW
목차 제1절 분석 기획 방향성 도출 제2절 분석 방법론 제2-1절 빅데이터 분석 방법론 제3절 분석 과제 발굴 제4절 분석 프로젝트 관리 방안 1. 분석 과제 발굴 개요 분석 과제 ‘발굴’의 개념과 ‘탐색’ 방법 분석 과제 발굴 어느 기업에서 데이터 분석 플랫폼을 구축하고 이를 통해 기업 경영 전략에 활용한다고 가정해봅니다. 가장 먼저 해야 할 일은 ‘무엇’을 분석해야 하는지 그 분석 과제를 발굴하는 일입니다. 분석 과제 발굴이란 해결해야 할 다양한 기업(혹은 분석의 주체)의 문제를 ‘데이터 분석 문제’로 변환하는 것을 포함하는 개념입니다.... Read More
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Activity: Use Python Syntax TOP NEW
Activity: Use Python syntax Introduction In this lab, you will practice Python syntax by creating variables, checking the data types of variables, creating precise variable names, and completing data conversions. For this activity, imagine you’re a data professional analyzing the users that log in to purchase tic... Read More
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Python versus other programming languages TOP NEW
Python is one of the most popular programming languages for data professionals, which makes it a great addition to your data analytics toolbox! As we’ve previously investigated, Python’s use of syntax to communicate commands and perform tasks mirrors spoken language. This makes Python a much easier programming langu... Read More
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More about object-oriented programming TOP NEW
This reading contains only a brief introduction to object-oriented programming. A more detailed discussion about the nuances of object oriented programming is beyond the scope of this course. Previously, we identified object-oriented programming as a programming paradigm that is based around objects, which can cont... Read More
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How to use Jupyter Notebooks TOP NEW
Jupyter Notebook is an open-source web application for creating and sharing documents containing live code, mathematical formulas, visualisations, and text. This is a great tool to develop and present code in a standardised text block format that is interactive and shareable. You can create code, mathematical formul... Read More