Best-in-class curriculum, personalized instruction, close mentoring, a peerless review model, and career guidance combine to equip students of this program with the skills necessary to obtain rewarding employment as a Data Analyst. Take the Readiness Assessment to find out if you're ready to get started. Learn to: * Wrangle, extract, transform, and load data from various databases, formats, and data sources * Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets * Classify unlabeled data or predict into the future with applied statistics and machine learning algorithms * Communicate data analysis and findings through effective data visualizations We have designed this program by working closely with expert data analysts and scientists at leading technology companies, and in partnership with their hiring managers to ensure you emerge from your degree program with the skills and talents these companies are seeking.
The Data Analyst Nanodegree is specifically designed to prepare you for a career in data science. As a Data Analyst, you will be responsible for obtaining, analyzing, and effectively reporting on data insights ranging from business metrics to user behavior and product performance. We have worked closely with leading industry partners to carefully design the ideal curriculum to prepare you for this role.
Data Analyst nanodegree students... * are interested in data science. * have a strong grasp of descriptive and inferential statistics. * have programming experience (preferably in Python) * have a strong understanding of programming concepts such as variables, functions, loops, and basic data structures like lists and dictionaries. Take the Readiness Assessment to see if you're ready to get started. General Requirements: * You are self-driven and motivated to learn. Participation in this program requires consistently meeting deadlines and devoting at least 10 hours per week to your work. * You can communicate fluently and professionally in written and spoken English. * You have access to a computer with a broadband connection, on which you’ll install a professional code/text editor (ie. Sublime Text or Atom) and programming languages like Python and R and associating data science libraries. * You will be a committed and contributing participant of the community.