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.
Ce cours fait partie de la Spécialisation Introduction to Programming with Python and Java
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Spécialisation Introduction to Programming with Python and JavaUniversité de PennsylvanieÀ propos de ce cours
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Dates limites flexibles
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100 % en ligne
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Cours 2 sur 4 dans le
Niveau débutant
High school or college math.
“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.
Approx. 17 heures pour terminer
Anglais
Sous-titres : Anglais, Coréen
Ce que vous allez apprendre
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
Compétences que vous acquerrez
- Data Science
- Python Libraries
- Python Programming
- Data Analysis
- Data Visualization (DataViz)
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 4 dans le
Niveau débutant
High school or college math.
“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.
Approx. 17 heures pour terminer
Anglais
Sous-titres : Anglais, Coréen
Offert par
Université de Pennsylvanie
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.
Commencez à travailler pour obtenir votre master
Ce cours est lié au diplôme Master of Computer and Information Technology intégralement en ligne de Université de Pennsylvanie. Il vous donnera un aperçu des sujets, des contenus et des enseignants afin que vous puissiez décider si le programme intégralement en ligne vous convient.
Programme de cours : ce que vous apprendrez dans ce cours
6 heures pour terminer
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 heures pour terminer
8 vidéos (Total 31 min), 9 lectures, 3 quiz
5 heures pour terminer
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 heures pour terminer
14 vidéos (Total 31 min), 5 lectures, 4 quiz
5 heures pour terminer
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 heures pour terminer
18 vidéos (Total 22 min), 5 lectures, 4 quiz
Avis
- 5 stars68,37 %
- 4 stars23,32 %
- 3 stars4,74 %
- 2 stars1,58 %
- 1 star1,97 %
Meilleurs avis pour DATA ANALYSIS USING PYTHON
par CS22 août 2021
Excellent course and wonderful support from TAs. Appreciate the support.
par MJ21 févr. 2022
the data summarization part was rushed through, apart from it, the course is very good
par AL24 mars 2021
Very informative course. However lessons feel more like telling than teaching. The lecturer could go more in depth.
par FM7 janv. 2022
this course was perfect for me, I learned alot from it.
I want to thank Jahnavi Chowdary quck reply and you helping me through out, you also deserve five stars
À propos du Spécialisation Introduction to Programming with Python and Java
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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