Informações sobre o curso
12,671 visualizações recentes

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 14 horas para completar

Sugerido: 4 weeks of study, 3-6 hours/week...

Inglês

Legendas: Inglês

Habilidades que você terá

Python ProgrammingStatistical AnalysisSentiment AnalysisR Programming

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 14 horas para completar

Sugerido: 4 weeks of study, 3-6 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
3 horas para concluir

Introduction to Data Analytics

In this first unit of the course, several concepts related to social media data and data analytics are introduced. We start by first discussing two kinds of data - structured and unstructured. Then look at how structured data, the primary focus of this course, is analyzed and what one could gain by doing such analysis. Finally, we briefly cover some of the visualizations for exploring and presenting data.Make sure to go through the material for this unit in the sequence it's provided. First, watch the four short videos, then take the practice test, followed by the two quizzes. Finally, read the documents about installation and configuration of Python and R. This is very important - before proceeding to the next units, make sure you have installed necessary tools, and also learned how to install new packages/libraries for them. The course expects students to have programming experience in Python and R.

...
4 vídeos ((Total 33 mín.)), 4 leituras, 2 testes
4 leituras
Anaconda Installation20min
Python installation, configuration, and usage30min
R installation30min
R/RStudio Setup Guide (on Windows)20min
2 exercícios práticos
Quiz-115min
Quiz-215min
Semana
2
4 horas para concluir

Collecting and Extracting Social Media Data

In this unit we will see how to collect data from Twitter and YouTube. The unit will start with an introduction to Python programming. Then we will use a Python script, with a little editing, to extract data from Twitter. A similar exercise will then be done with YouTube. In both the cases, we will also see how to create developer accounts and what information to obtain to use the data collection APIs. Once again, make sure to go item-by-item in the order provided. Before beginning this unit, ensure that you have all the right tools (Python, R, Anaconda) ready and configured. The lessons depend on them and also your ability to install required packages.

...
4 vídeos ((Total 47 mín.)), 6 leituras, 3 testes
4 videos
Video-4: Using Python to Extract Data from YouTube11min
6 leituras
Errata: please read this first1min
Python Packages Installation5min
(Optional) Introduction to Python for Econometrics, Statistics and Data Analysis30min
Script: twitter_search.py
Twitter libraries10min
Script: youtube_search.py
2 exercícios práticos
Python Programming Exercise2min
YouTube data download using Python6min
Semana
3
4 horas para concluir

Data Analysis, Visualization, and Exploration

In this unit, we will focus on analyzing and visualizing the data from various social media services. We will first use the data collected before from YouTube to do various statistics analyses such as correlation and regression. We will then introduce R - a platform for doing statistical analysis. Using R, then we will analyze a much larger dataset obtained from Yelp. Make sure you have covered the material in the previous units before proceeding with this. That means, having all the tools (Anaconda, Python, and R) as well as various packages installed. We will also need new packages this time, so make sure you know how to install them to your Python or R. If needed, please review some basic concepts in statistics - specifically, correlation and regression - before or during working on this unit.

...
4 vídeos ((Total 87 mín.)), 8 leituras, 2 testes
4 videos
Video-4: Social Media Data Analysis with R32min
8 leituras
Script: twitter_process.py
Data: iqsize.csv
R Installation Guide10min
Installing R Packages5min
Statistical Analysis with R10min
Read this first2min
Scripts for converting json to csv2min
Data Visualization with ggplot2 (R) - Cheat Sheet10min
1 exercício prático
Statistical Analysis with Twitter Data6min
Semana
4
3 horas para concluir

Case Studies

In the final unit of this course, we will work on two case studies - both using Twitter and focusing on unstructured data (in this case, text). The first case study will involve doing sentiment analysis with Python. The second case study will take us through basic text mining application using R. We wrap up the unit with a conclusion of what we did in this course and where to go next for further learning and exploration.

...
4 vídeos ((Total 47 mín.)), 4 leituras, 2 testes
4 leituras
Script: twitter_sentiments.py
NLTK10min
Script: text_mining_twitter.r
An Introduction to Network Analysis with R and statnet10min
1 exercício prático
Sentiment Analysis with Twitter6min
4.1
31 avaliaçõesChevron Right

25%

comecei uma nova carreira após concluir estes cursos

40%

consegui um benefício significativo de carreira com este curso

50%

recebi um aumento ou promoção

Principais avaliações do Social Media Data Analytics

por AMMay 10th 2018

Instructor was great, deliver lectures really nice. Looking for some more stuff from Dr. Shah

por MIFeb 7th 2019

very nice couse but peer assignment is very difficult taks

Instrutores

Avatar

Chirag Shah

Associate Professor
Information and Computer Science

Sobre Rutgers — Universidade Estadual de Nova Jérsei

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você adquire o Certificado, ganha acesso a todo o material do curso, incluindo avaliações com nota atribuída. Após concluir o curso, seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.