Advanced Data Analytics & Visualization with R
- Advanced
- 21 and older
- $840
- Live Online
- 47 hours & 50 minutes over 2 sessions
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Compelling stories with data visualizations grab your attention and spark discussion. Great data storytelling takes narrative, analysis, and technical understanding. This course takes you step-by-step through the process of cleaning, processing and analyzing curated public data using the programming language R. You will make static graphics and animations, plus interactive charts and maps; developing and evaluating the stories they tell within your cohort of diverse professionals.
This course provides a broad introduction to the R programming language and the RStudio graphical user interface used by top data scientists, newsrooms, social scientists, economists, and academia. It is an advanced language for data analysis, data visualization, and data science used for decision making in business or for developing stories to communicate complex data.
Software required: RStudio (free version) and R.
Course Outcomes
Learn how to create effective graphs, charts and maps with R through hands-on skills practice in the online platform and personal feedback from your instructor. Expand your network through class discussions and feedback within your small cohort. You don’t need to be a programmer to benefit from this course.
Key Takeaways:
This program is a skill-based learning experience for intermediate to advanced professionals. Data Visualization for Storytellers is suggested for beginners.
Course Format
This online course includes hands-on, interactive learning activities designed to build your skills as you progress through each week. Lessons include videos, audio files, tutorials, case studies, discussions and assignments.
Each week your cohort will interact with the instructor during scheduled live-sessions. These sessions are in real-time to give you access to expert instruction, personalized support, and the network of professionals we are known for at Berkeley Advanced Media Institute. All live sessions are recorded for future viewing.
Who Should Attend?
This workshop is for people interested in a rapid-paced, immersive experience in advanced data analysis tools & techniques: data analysts, communication professionals, journalists, social scientist, academia, faculty, and those interested in becoming proficient in learning to communicate data with clarity. It is ideal for those looking to change careers or to improve their skills for a job upgrade.
Prerequisites
This is an advanced level workshop. Participants must have prior experience with data analysis. No previous coding expertise is required, but you should come prepared to learn how to turn questions about data into code. If you are comfortable writing Excel formulas, this is the next step.
For beginners interested in learning the basics of data visualization, working with spreadsheets, formulas and point-and-click tools for creating data visuzliations please see Data Visualization for Storytellers.
Requirements
Please read this prior to registering for the course.
Prior to the course start date, you will receive more information with a list of software to install. If you are using an employer owned computer, you must have administrative privileges in order to regularly download and update software.Some software requires an up-to-date operating system to run. It is important to have everything installed in advance of the course start date.
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
Cancellations must be received in writing by email to [email protected].
We will advise applicants at the earliest opportunity of changes to schedule program. We are not responsible for travel fees, or any expenses incurred as a result of canceled programs.
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