Last chance to enrol on our online data science courses

Course access starts on March 23rd //info.sagepub.co.uk/c/12gmMToBFmRoB16QFn5oeKRrRuoL [] View as webpage](   |    Email alerts]( Share: [Share on Twitter]( [Share on Facebook]( [Share on Instagram]( [Course access starts on March 23rd]( Last chance to enrol on upcoming online data science courses Course access starts on March 23rd Our suite of online data science courses for social scientists were specifically designed to give social scientists the skills to work with big data, new technologies and computational methods. The courses are introductory, created by social science and data science experts to give practical skills that can be directly applied to social research. Who are the courses suitable for? Our courses are suitable for social scientists from all disciplines and at all levels from postgraduate students and faculty to researchers and practitioners. The courses are introductory, so no prior knowledge of data science is required. How long will I have to complete the course? You will be able to access the course from 23rd March. The courses are fully self-paced and so you can complete in your own time over the 4 month access period. [Browse all courses]( [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]( [icon]( [About SAGE Campus]( [icon]( [Try a course for free!]( [U.S. Census at Social Science Space]( 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}. 0P0035 SAGE logo](