The learn data science and machine learning in r course from a to z is here! This practical course will teach you how to program in r, how to use r to analyze and visualize data, and how to make the most of it. This course will teach you how to set up and configure software for statistical programming environments. It also teaches you how to use r to perform data analysis, visualization, and code commenting. We combine theory and practical training to teach you the basics of R programming. This course is suitable for anyone with coding experience or who wants to learn more about R programming. Adding r coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques. Together we are going to give you the foundational education that you need to know not just on how to write code in r, analyze and visualize data but also how to get paid for your newly developed programming skills. The course covers 6 main areas: 1: ds + ML course + r intro this intro section gives you a full introduction to the R programming language, data science industry and marketplace, job opportunities and salaries, and the various data science job roles. Intro to data science + machine learning data science industry and marketplace data science job opportunities introduction getting started with r2: data types/structures in this section gives you a full introduction to the data types and structures in r with hands on step by step training. Vectors matrices lists data frames operators loops functions databases + more! 3: Data manipulation in this section gives you a full introduction to the data manipulation in r with hands-on step by step training. Tidy data pipe operator dplyr verbs: filter, select, mutate, arrange + more! String manipulation web scraping 4: data visualization in this section gives you a full introduction to the data visualization in r with hands on step by step training. Aesthetics mapping single variable plot two variable plot facets, layering, and coordinate system 5: machine learning this section gives you a full introduction to machine learning with hands on step by step training. Intro to machine learning data preprocessing linear regression logistic regression support vector machines k means clustering ensemble learning natural language processing neural nets 6: starting a data science career this section gives you a full introduction to starting a career as a data scientist with hands on step by step training. Creating a resume personal branding freelancing + freelance websites importance of having a website networking by the end of the course you will be a professional data scientist with r and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.
