Este curso forma parte de Programa especializado: Introduction to Programming with Python and Java

4.6
estrellas
291 calificaciones

Brandon Krakowsky

16.101 ya inscrito

Ofrecido Por

Parte del título de grado Master of Computer and Information Technology
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Programa especializado: Introduction to Programming with Python and JavaUniversidad de Pensilvania

Acerca de este Curso

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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.

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100 % en línea

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Curso 2 de 4 en

Programa especializado: Introduction to Programming with Python and Java

Nivel principiante

High school or college math.

“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.

Aprox. 17 horas para completar

Inglés (English)

Qué aprenderás

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

Habilidades que obtendrás

Data Science
Python Libraries
Python Programming
Data Analysis
Data Visualization (DataViz)

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Laboratorios de Coursera

Incluye proyectos de aprendizaje prácticos.

Obtén más información sobre los laboratorios de Coursera

Curso 2 de 4 en

Programa especializado: Introduction to Programming with Python and Java

Nivel principiante

High school or college math.

“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.

Aprox. 17 horas para completar

Inglés (English)

Instructor

Calificación del instructor

4,45/5 (106 calificaciones)

Brandon Krakowsky

Lecturer

School of Engineering and Applied Science

72.111 alumnos

7 cursos

Ofrecido por

Universidad de Pensilvania

Comienza a trabajar para obtener tu maestría

Este curso es parte del Master of Computer and Information Technology completamente en línea de Universidad de Pensilvania. Si te aceptan en el programa completo, tus cursos cuentan para tu título de grado.

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Programa - Qué aprenderás en este curso

Semana

Semana 1

6 horas para completar

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 horas para completar

8 videos (Total 31 minutos), 9 lecturas, 3 cuestionarios

8 videos

Course Introduction 53s

About the Instructor : Brandon Krakowsky 1m

Downloading & Installing Jupyter Notebook35s

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

9 lecturas

Course Layout & Syllabus15m

Tips to succeed in this course10m

Module 1 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE)5m

Review of dictionaries10m

Review of lists5m

Review of loops10m

Review of functions5m

Lambda with max and min10m

Homework 1 - Instructions10m

2 ejercicios de práctica

Quiz 1 - Loading, Querying, & Filtering Data12m

Quiz 2 - Catching Errors & Sorting10m

Semana

Semana 2

5 horas para completar

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 horas para completar

14 videos (Total 31 minutos), 5 lecturas, 4 cuestionarios

14 videos

The pandas module 43s

Loading data 1m

Inspecting data 1m

Querying data 47s

Joining data 59s

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() 47s

Other methods 26s

Updating & creating data 43s

Code Along Exercise : Add rating column 1m

5 lecturas

Module 2 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE)5m

Homework 2 - Instructions10m

Casting Data5m

Cleaning data & dealing with missing values3m

Homework 3 - Instructions10m

2 ejercicios de práctica

Quiz 3 - Loading, Inspecting, & Querying Data10m

Quiz 4 - Joining & Filtering Data10m

Semana

Semana 3

5 horas para completar

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 horas para completar

18 videos (Total 22 minutos), 5 lecturas, 4 cuestionarios

18 videos

Summarizing groups51s

The numpy library 48s

Pivot tables 29s

Using an index 41s

Code Along Exercise : Average review count and rating2m

Aggregate functions2m

Jupyter notebook magic functions 21s

The matplotlib library 27s

Histograms 36s

Histograms Coding Demonstration : To show distribution of data 28s

Histograms Coding Demonstration : Preparing data 1m

Histograms Coding Demonstration : Setting options for PyPlot 1m

Histograms Coding Demonstration : Displaying the visualization 3m

Scatterplots 34s

Scatterplots Coding Demonstration : To compare data points on different dimensions12s

Scatterplots Coding Demonstration : Preparing data 1m

Scatterplots Coding Demonstration : Setting options for PyPlot 2m

Scatterplots Coding Demonstration : Displaying the visualization 1m

5 lecturas

Module 3 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE)5m

Homework 4 - Instructions10m

Bar charts and plotting pivot tables7m

For reference: Seaborn2m

Homework 5 - Instructions10m

2 ejercicios de práctica

Quiz 5 - Summarizing Data10m

Quiz 6 - Visualizing Data12m

Reseñas

4.6

79 reseña

5 stars
69,75 %
4 stars
21,99 %
3 stars
5,15 %
2 stars
1,37 %
1 star
1,71 %

Principales reseñas sobre DATA ANALYSIS USING PYTHON

por LH24 de may. de 2021

I'd like for this to be a little more in-depth. I had fun with the data visualisations. However, probably more of manipulating the data would be good.

por NG25 de jul. de 2022

Amazing course that is needed in real world life. Because every decision in life depends on information. That's why data analysis is amazing course...

por JA6 de sep. de 2021

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.

por AM7 de feb. de 2021

Videos touching same theme were too short (26 sec, 1 min, etc.) and disruptive. Wish there could be more practices.

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Acerca de Programa especializado: 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.

Introduction to Programming with Python and Java is for students and professionals who have minimal or no prior programming exposure. It’s for motivated learners who have experience with rigorous coursework, and are looking to gain a competitive edge in advancing their career. It’s for folks who are thinking about applying to the University of Pennsylvania’s online Master of Computer and Information Technology degree and want to sample some of the lecture videos and content from the first course in the program. We hope this Specialization is for you. Topics in this Specialization include language syntax, style, programming techniques, and coding conventions. Learn about best practices and good code design, code testing and test-driven development, code debugging, code and program documentation, and computational thinking.

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.
How much math do I need to know to take this course?
The only math that learners will need for this Specialization is arithmetic and basic concepts in logic.
This course was fun. How can I learn more?
If you enjoyed this course, we recommend Courses 1, 3 and 4 in the series!
If you would like to learn the fundamentals of computer science beyond the basics of programming, consider applying to the Master of Computer and Information and Technology (MCIT) at the University of Pennsylvania, an Ivy League computer science master’s program for people without a computer science background. For an on-campus experience, explore here. If you prefer an online setting, apply to MCIT Online. In fact, the lectures in this series are also used in the online degree program! The Specialization certificate will be viewed favorably by the admissions committee, so be sure to mention it when you apply.

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Data Analysis Using Python

Acerca de este Curso

Qué aprenderás

Habilidades que obtendrás

Instructor

Brandon Krakowsky

Ofrecido por

Universidad de Pensilvania

Comienza a trabajar para obtener tu maestría

Programa - Qué aprenderás en este curso

Module 1 : Loading, Querying, & Filtering Data Using the csv Module

Module 2 : Loading, Querying, Joining & Filtering Data Using pandas

Module 3 : Summarizing & Visualizing Data

Reseñas

Principales reseñas sobre DATA ANALYSIS USING PYTHON

Acerca de Programa especializado: Introduction to Programming with Python and Java

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Data Analysis Using Python

Acerca de este Curso

Qué aprenderás

Habilidades que obtendrás

Instructor

Brandon Krakowsky

Ofrecido por

Universidad de Pensilvania

Comienza a trabajar para obtener tu maestría

Programa - Qué aprenderás en este curso

Module 1 : Loading, Querying, & Filtering Data Using the csv Module

Module 2 : Loading, Querying, Joining & Filtering Data Using pandas

Module 3 : Summarizing & Visualizing Data

Reseñas

Principales reseñas sobre DATA ANALYSIS USING PYTHON

Acerca de Programa especializado: Introduction to Programming with Python and Java

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