This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization.
제공자:
이 강좌에 대하여
최근 조회 17,775회
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
High school or college math.
“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.
완료하는 데 약 17시간 필요
영어
자막: 영어
배울 내용
Apply basic data science techniques using Python
Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib
Demonstrate how to load, inspect, and query real-world data, and answer basic questions about that data
Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization
귀하가 습득할 기술
Data SciencePython LibrariesPython ProgrammingData AnalysisData Visualization (DataViz)
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
High school or college math.
“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.
완료하는 데 약 17시간 필요
영어
자막: 영어
제공자:
펜실베이니아 대학교
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 6시간 필요
Module 1 : Loading, Querying, & Filtering Data Using the csv Module
This first module provides students with an overview of loading, inspecting, and exploring data using Python's simple csv library. To get started, this module includes a brief overview of Jupyter Notebook and a concise review of basic Python, including data structures, loops, and functions. This module showcases to the students an in-depth analysis of data stored in a .csv file, including basic querying, approaches for dealing with data errors, and how to filter and sort data based on a variety of criteria.
완료하는 데 6시간 필요
8개 동영상 (총 31분), 9 개의 읽기 자료, 3 개의 테스트
8개의 동영상
About the Instructor : Brandon Krakowsky 1m
Downloading & Installing Jupyter Notebook35
Using Jupyter Notebook3m
Importing and reading a file using the csv module 3m
Coding demonstration : Analyzing the 500 Greatest Albums of All Time12m
Coding demonstration : Catching data errors and sorting7m
Coding demonstration : Calculating max and min1m
9개의 읽기 자료
Course Layout & Syllabus15m
Tips to succeed in this course10m
Module 1 Resources5m
Review of dictionaries10m
Review of lists5m
Review of loops10m
Review of functions5m
Lambda with max and min10m
Homework 1 - Instructions10m
2개 연습문제
Quiz 1 - Loading, Querying, & Filtering Data12m
Quiz 2 - Catching Errors & Sorting10m
완료하는 데 5시간 필요
Module 2 : Loading, Querying, Joining & Filtering Data Using pandas
In this module, students are introduced to core concepts like the Data Frame and joining data. Students will get experience using pandas, an industry-standard data analysis library, to load and query real-world data and to answer questions about that data. This module demonstrates how to do advanced filtering and indexing, slice subsets of data, restrict data attributes in query results, and do basic computations over the data. Includes how to build a simple recommendation system, and approaches for cleaning data, dealing with missing values, and creating new data.
완료하는 데 5시간 필요
14개 동영상 (총 31분), 5 개의 읽기 자료, 4 개의 테스트
14개의 동영상
Loading data 1m
Inspecting data 1m
Querying data 47
Joining data 59
Code Along Exercise : Join data 6m
Slicing rows 2m
Querying data using boolean indexing6m
Code Along Exercise : Dive bar recommendation in Las Vegas 4m
Computations - sum() 1m
Computations - mean() 47
Other methods 26
Updating & creating data 43
Code Along Exercise : Add rating column 1m
5개의 읽기 자료
Module 2 Resources5m
Homework 2 - Instructions10m
Casting Data5m
Cleaning data & dealing with missing values3m
Homework 3 - Instructions10m
2개 연습문제
Quiz 3 - Loading, Inspecting, & Querying Data10m
Quiz 4 - Joining & Filtering Data10m
완료하는 데 5시간 필요
Module 3 : Summarizing & Visualizing Data
This module takes data analysis a step further by providing an overview of the process of aggregating, summarizing, and visualizing data. Students are introduced to the concept of grouping and indexing data, and how to display results in a pivot table using pandas. This module also demonstrates how to prepare and visualize data using a histogram and scatterplot in Jupyter Notebook. Students will gain skills in data aggregation and summarization, as well as basic data visualization. In addition, students will get experience using data analysis libraries like numpy and matplotlib.
완료하는 데 5시간 필요
18개 동영상 (총 22분), 5 개의 읽기 자료, 4 개의 테스트
18개의 동영상
The numpy library 48
Pivot tables 29
Using an index 41
Code Along Exercise : Average review count and rating2m
Aggregate functions2m
Jupyter notebook magic functions 21
The matplotlib library 27
Histograms 36
Histograms Coding Demonstration : To show distribution of data 28
Histograms Coding Demonstration : Preparing data 1m
Histograms Coding Demonstration : Setting options for PyPlot 1m
Histograms Coding Demonstration : Displaying the visualization 3m
Scatterplots 34
Scatterplots Coding Demonstration : To compare data points on different dimensions12
Scatterplots Coding Demonstration : Preparing data 1m
Scatterplots Coding Demonstration : Setting options for PyPlot 2m
Scatterplots Coding Demonstration : Displaying the visualization 1m
5개의 읽기 자료
Module 3 Resources5m
Homework 4 - Instructions10m
Bar charts and plotting pivot tables7m
For reference: Seaborn2m
Homework 5 - Instructions10m
2개 연습문제
Quiz 5 - Summarizing Data10m
Quiz 6 - Visualizing Data12m
Introduction to Programming with Python and Java 특화 과정 정보
This Specialization starts out by teaching basic concepts in Python and ramps up to more complex subjects such as object-oriented programming and data structures in Java. By the time learners complete this series of four courses, they will be able to write fully-functional programs in both Python and Java, two of the most well-known and frequently used programming languages in the world today.
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