SAGE Campus Newsletter - July/August Updates

Major updates to the platform coming this September View as webpage](   |    Email alerts]( Share: [Share on Twitter]( [Share on Facebook]( [Share on LinkedIn]( [SAGE Campus]( [New SAGE Campus platform for library subscription]( In last month’s newsletter, we mentioned that our Sept 7th online course cohorts are the last ones you will be able to enrol on in the usual way. This month, we are excited to announce that this is because we are launching an updated SAGE Campus platform this September. Libraries can subscribe to the new, improved platform for institution-wide access to all 145+ hours of courses and modules. [Watch our overview webinar recording to learn more](. If you’ve enjoyed learning with SAGE Campus, please recommend us to your institutions' library administrator so we can speak to them about giving your entire institution access. In the meantime, there’s still time to enrol on our Sept 7th cohorts below. [Browse all courses]( [Collecting Social Media Data]( [Collecting Social Media Data]( Learn the essentials of collecting social media data and gain the skills to plan, gather and analyze social media data for your research. Time to complete: 1-3 hours [Research Design In Social Data Science]( [Research Design in Social Data Science]( Gain an understanding of the emerging field of social data science as a big data-driven approach to social science research. Time to complete: 3-6 hours [Introduction To Data Visualisation]( [Introduction to Data Visualisation]( Master the principles for transforming data into powerful visualisations, with a fresh, creative approach from Andy Kirk. Time to complete: 10 hours [Interactive Visualization with R]( [Interactive Visualization with R]( Learn the techniques and tools for presenting data in visually attractive and interactive ways using the R programming language. Time to complete: 35 hours [Introduction To R]( [Introduction to R]( This practical course will help you gain the knowledge and skills to use R for social science research, step-by-step. Time to complete: 12 hours [Practical Data Management With R]( [Practical Data Management with R]( Learn how to use R to manage data in a wide variety of formats, in a reproducible manner, at scale. Time to complete: 15-25 hours [Introduction To Python]( [Introduction to Python]( Perfect for beginners, this course will teach you the fundamentals of Python programming through taught materials and practical examples. Time to complete: 20 hours [Intermediate Python]( [Intermediate Python]( Gain the skills you need to manipulate and visualize a variety of data types using Python Time to complete: 16 hours [Introduction To Text Mining]( [Introduction to Text Mining]( Gain a conceptual overview of the text mining landscape and a foundational understanding of the analysis of digital textual data sets. Time to complete: 6-8 hours [Fundamentals Of Quantitative Text Analysis]( [Fundamentals of Quantitative Text Analysis]( Learn how to analyze large amounts of textual data, at scale, using the R programming language. Time to complete: 10 hours [Browse all courses]( ABOUT US]( CONTACT US]( PRIVACY POLICY]( UNSUBSCRIBE]( SAGE Offices: Los Angeles: 2455 Teller Rd Thousand Oaks, CA 91320, USA London: 1 Oliver's Yard, 55 City Road, London, EC1Y 1SP, UK. Registration No. 1017514 New Delhi: B-1/I-1, Mohan Cooperative Industrial Estate, Mathura Road, Post Bag 7, New Delhi 110 044, India Singapore: 18 Cross Street #10-10/11/12, China Square Central, Singapore 048423 Washington, DC: 2600 Virginia Avenue NW, Suite 600, Washington, DC, 20037, USA Melbourne: Level 20, 114 William Street Melbourne, VIC 3000, Australia This message was sent to {EMAIL}. 0P0106 SAGE Logo](