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.
このコースはIntroduction to Programming with Python and Java専門講座に属します。
10,533人がすでに登録済みです
Introduction to Programming with Python and Java専門講座ペンシルベニア大学（University of Pennsylvania）このコースについて
84,777 最近の表示
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
初級レベル
High school or college math.
“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.
約17時間で修了
英語
字幕：英語, 韓国語
学習内容
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
習得するスキル
- Data Science
- Python Libraries
- Python Programming
- Data Analysis
- Data Visualization (DataViz)
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
初級レベル
High school or college math.
“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.
約17時間で修了
英語
字幕：英語, 韓国語
提供：
ペンシルベニア大学（University of Pennsylvania）
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.
修士号の取得を目指しましょう
この コース は ペンシルベニア大学（University of Pennsylvania） の100%オンラインの Master of Computer and Information Technology に関連しています。トピック、教材、講師などを確認して、完全オンライン学位プログラムが自分に合っているかどうかを判断することができます。
シラバス - 本コースの学習内容
6時間で修了
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.
6時間で修了
8件のビデオ （合計31分）, 9 学習用教材, 3 個のテスト
5時間で修了
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.
5時間で修了
14件のビデオ （合計31分）, 5 学習用教材, 4 個のテスト
5時間で修了
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.
5時間で修了
18件のビデオ （合計22分）, 5 学習用教材, 4 個のテスト
レビュー
- 5 stars66.96%
- 4 stars25.44%
- 3 stars4.46%
- 2 stars1.33%
- 1 star1.78%
DATA ANALYSIS USING PYTHON からの人気レビュー
FSにより2021年7月29日
it would be better if sections were covered more of panda and matplotlib and even seaborn
JAにより2021年9月6日
Good course, it gives you the basic info to pandas, numpy and matplotlib. It teaches you how to obtain dataframes, join, filter, group, summarize and visualize data. Short course but really worth it.
PSにより2022年2月21日
Great course for the beginners, would like to thank faculty and staff for making a great course, and the discussion forms were really helpful, Thanks to TAs for reverting back to all the questions.
KPにより2021年4月12日
course is overall good but face some problem in understanding of homework questions, proper explanation is needed
Introduction to Programming with Python and Java専門講座について
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.
よくある質問
いつ講座や課題にアクセスできるようになりますか？
この専門講座をサブスクライブすると何を行うことができるようになりますか？
学資援助はありますか？
How much math do I need to know to take this course?
This course was fun. How can I learn more?
さらに質問がある場合は、受講者ヘルプセンターにアクセスしてください。
