Tech Journal

Activity: Work with strings in Python Introduction Data professionals work with a lot of string data. For example, while analyzing the results of a marketing campaign, you may need to review item descriptions or customer names, which is stored as string data. Becoming comfortable working with strings in Python is ... Read More

As you know, strings are an important class of data because they represent text. Data professionals encounter strings all the time, so it’s important to become familiar with different ways of manipulating and working with them. This reading will review the string formatting techniques you’ve learned and also introdu... Read More

You’ve learned about for loops in Python and have explored some examples. For loops are like while loops, but instead of looping continuously until a condition is met, for loops iterate over each element of an iterable sequence, allowing you to perform an action or evaluation with each iteration. This is an importan... Read More

Activity: For loops Introduction As a data professional, you may need to use methods that involve repetition. For example, when analyzing customer feedback from surveys, you may need to compare averages across categories. In Python, using iterative statements helps automate this task and makes them more efficient.... Read More

목차 제1절 통계학 개론 제2절 기초 통계 분석 t-검정 제3절 다변량 분석 제4절 시계열 예측 제5절 주성분 분석 1. 통계 개요 2. 확률과 확률분포 확률(Probability) 어떤 실험의 모든 가능한 결과들의 집합(표본공간, $S$) 중에서, 특정 사건 ($A \subseteq S$)가 발생할 가능성의 정도를 나타내는 수치입니다. 확률은 항상 0과 1 사이의 실수 값이며, 표본공간에 속한 모든 가능한 사건의 확률의 합은 항상 1입니다. $$ 0 \leq P(A) \leq 1, \quad \sum_{i=1}^{n} P(... Read More