Social Media Data Analytics
date_range Débute le 21 janvier 2019
event_note Se termine le 25 février 2019
list 4 séquences
assignment Niveau : Intermédiaire
chat_bubble_outline Langue : Anglais
card_giftcard 120 points
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3.3
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Les infos clés

credit_card Formation gratuite
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timer 12 heures de cours

En résumé

Learner Outcomes: After taking this course, you will be able to: - Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr. - Process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data. - Analyze unstructured data - primarily textual comments - for sentiments expressed in them. - Use different tools for collecting, analyzing, and exploring social media data for research and development purposes. Sample Learner Story: Data analyst wanting to leverage social media data. Isabella is a Data Analyst working as a consultant for a multinational corporation. She has experience working with Web analysis tools as well as marketing data. She wants to now expand into social media arena, trying to leverage the vast amounts of data available through various social media channels. Specifically, she wants to see how their clients, partners, and competitors view their products/services and talk about them. She hopes to build a new workflow of data analytics that incorporates traditional data processing using Web and marketing tools, as well as newer methods of using social media data. Sample Job Roles requiring these skills: - Social Media Analyst - Web Analyst - Data Analyst - Marketing and Public Relations Final Project Deliverable/ Artifact: The course will have a series of small assignments or mini-projects that involve data collection, analysis, and presentation involving various social media sources using the techniques learned in the class.

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Le programme

  • Week 1 - 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,...
  • Week 2 - 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 w...
  • Week 3 - 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 pl...
  • Week 4 - 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 b...
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Les intervenants

Chirag Shah
Associate Professor
Information and Computer Science

assistant

La plateforme

Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

Avis de la communauté
3.3 /5 Moyenne
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Le meilleur avis

One of the best courses I've came across in Coursera. Chirag Sir is simply awesome, the way he describes things is just amazing! I would like to work under him or his connections if given a chance! This course boosted my confidence also.

le 23 septembre 2017
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le 23 septembre 2017
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One of the best courses I've came across in Coursera. Chirag Sir is simply awesome, the way he describes things is just amazing! I would like to work under him or his connections if given a chance! This course boosted my confidence also.

le 20 septembre 2017
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Well. this course could improve a lot. Some of the videos are bad edited and a few of the exercise files supplied by the instructor didn't work as the example at the video so I had to google a fix for the exercise so I could finish it on time.

le 10 juillet 2017
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The course gives an overall exposure about the subject. The focus could be tighten into one program, and there could be more readings/videos about the idea how social media data should be analyzed or interpreted. Yet, the course has too much attention to tools (R and Python).

le 23 mai 2017
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Liked the course, below are the specific points:Pros:1. Good introduction to Social media analytics2. Good demonstration about the packages used for this analysis for Python and R, before this course I didn't know about Tweepy, NLTP, textblob etc. to do the analysis directly3. The assignments were not too difficult, sometimes faced challenges due to code not working or data availability. ( The Yelp data set needed in Week 3 is about 10 GBs!)4. Course is not too difficult or time intensive to finish or work onCons:its just an introduction towards Social media analytics, do not expect much.You will not be taught the introduction and work around for python and R, although the course says that you do n't need to know the programming languages to work, but if you don't know then you are in trouble. Many times code will not work or you will not be able to convert the file or save the file as instructed in the videos, so expect a good proportion to be spent on Internet searching for solutions.The community is almost dead, All the 4 weeks I faced problems in my code because I am from non programming background and so I posted on the forums but got exactly 0 replies from the Instructor and the Course staff. As a result, I had to resort to internet search and trial and error for running the provided codes since I am not a hardcore programming guyThe course is fun to learn and get introduction to data analytics but don't expect to go and apply these concepts in your organization. Reason? they don't tell you how to get big amounts of data for your organization or the professional social media data providers available who provide large amount of data to organizations to do analysis on. If you want to run an analysis of 50 tweets or 25 you tube videos then its fine anything more than that? Good luck trying to mine Youtube video for 2000-3000 videos or 10,000-20,000 tweets ( which is the minimum amount you will need to run an analysis on and get the correct results) through Python and free APIs Overall, a fun introductory way to know about Social media analytics but don't expect too much and do not expect to be a social media data scientist through this course. Also, if you are planning to pay I would suggest to get introduced to programming in Python and R so that you won't face problems when the provided codes do not run and no one in the forums answers your query

le 17 avril 2017
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Very useful to learn the basics of social media analysis (twitter and youtube) with python and R.It's a good course to start.