SAGE Campus Newsletter - June roundup

Our last online course cohorts start 7th Sept //info.sagepub.co.uk/c/12nHOaltVY7LbddVu5NMyDDFTMfg View as webpage](   |    Email alerts]( Share: [Share on Twitter]( [Share on Facebook]( [Share on LinkedIn]( [SAGE Campus]( June updates from SAGE Campus Last cohorts of our online data science courses start 7th Sept [Browse all courses]( We are running all ten of our online data science courses for the last time, starting this 7th September. Our courses are fully self-paced, meaning you can learn at your own pace over the four month access period. Browse our courses or on our website and enrol today. And don’t forget to check out our upcoming competition for your chance to win a free course, register for our free webinar and read our latest blog below. [icon]( [Enter our prize draw to win a free course of your choice]( [icon]( [Webinar on top tips for teaching remotely]( [icon]( [Check out our latest blog posts for insights on online pedagogy]( [icon]( [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 [icon]( [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 [icon]( [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 [icon]( [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 [icon]( [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 [icon]( [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 [icon]( [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 [icon]( [Intermediate Python]( Gain the skills you need to manipulate and visualize a variety of data types using Python Time to complete: 16 hours [icon]( [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 [icon]( [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}. 0P0058 SAGE logo](