R Courses
R is a programming language and software environment for statistical computing and graphics. R is widely used by data miners and statisticians for statistical software. R uses a command line interface and many of its standard functions are written in R itself. Companies like Oracle and IBM have offered commercial support for R. Find the best courses in R on Course... Read more Read less
R is a programming language and software environment for statistical computing and graphics. R is widely used by data miners and statisticians for statistical software. R uses a command line interface and many of its standard functions are written in R itself. Companies like Oracle and IBM have offered commercial support for R. Find the best courses in R on Course Report.
78 R Courses
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The 28-week Data Science and Analytics Bootcamp offers a comprehensive online curriculum designed to equip students with essential skills in data analysis and visualization. Participants will learn to use Excel, Power BI, and Azure HDInsight for efficient data management. The course also covers Spark, R programming, Python, and machine learning, emphasizing practical applications through project-based learning. Ethical considerations and analytics storytelling are integrated to enhance the learning experience. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts Open to both technical and non-technical backgrounds No prerequisites required What to Expect Self-paced online format over 28 weeks Hands-on projects with Excel, Power BI, and Spark Focus on ethical analysis and storytelling What You'll Achieve Certificate of completion in data science and analytics Proficiency in Excel, Power BI, and machine learning Skills applicable to data-driven decision-making
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The iXperience Data Science course offers a comprehensive online program designed for individuals eager to delve into data analytics. Participants will explore techniques to uncover hidden patterns and associations through rigorous problem-solving. Following the course, students will gain practical experience via internships with partner companies, enhancing their resumes and career prospects in the high-demand data science field. Before You Learn / Who This Course Is For Ideal for problem solvers and analytical thinkers No specific prerequisites required Aspiring data scientists seeking career advancement What to Expect Online, self-paced learning format Hands-on practice with data analysis tools Internship opportunities with partner companies What You'll Achieve Enhanced data analysis skills Practical experience through internships Improved career prospects in data science
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The Data Analyst Bootcamp is a comprehensive online course focusing on essential data analysis skills, including Python, R, SQL, and data visualization. Delivered through a self-paced format, it equips learners with hands-on experience in machine learning and predictive modeling. This program is designed to provide practical knowledge and skills applicable in real-world data scenarios. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and professionals No prerequisites required Suitable for both technical and non-technical backgrounds What to Expect Self-paced online format for flexible learning Hands-on projects in Python, R, and SQL Focus on machine learning and predictive modeling What You'll Achieve Gain skills in data visualization and analysis Apply knowledge to real-world data challenges
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360DigiTMG's Data Science Certification Program is an online, self-paced course designed to equip learners with vital data science skills. Covering key topics such as Python, R, data analytics, data visualization, and predictive modeling, this program offers a comprehensive learning experience. Through project-based learning, participants will gain hands-on experience and practical knowledge applicable to real-world situations. Before You Learn / Who This Course Is For Open to both technical and non-technical individuals Ideal for aspiring data scientists and analysts No prerequisites; beginners welcome What to Expect Self-paced online format for flexible learning Project-based approach with hands-on experience Focus on Python, R, and data analytics tools What You'll Achieve Certificate of completion from 360DigiTMG Proficiency in data visualization and predictive modeling Enhanced career opportunities in data science
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DataUology's Data Science Bootcamp is an online, self-paced program designed to equip learners with comprehensive data science skills. Covering essential topics such as Python, R, SQL, TensorFlow, and machine learning, the course offers a project-based learning experience. Participants will engage with hands-on exercises to master data visualization and statistical analysis, ensuring practical understanding and application of concepts. Before You Learn / Who This Course Is For Suitable for aspiring data scientists and analysts Ideal for technical and non-technical learners No prior experience required What to Expect Self-paced online course with flexible learning Hands-on projects using Python, R, and SQL In-depth modules on machine learning and data visualization What You'll Achieve Comprehensive data science skillset Proficiency in tools like TensorFlow and SQL Ability to perform statistical analysis and create visualizations
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The Data Science with Python & R bootcamp is an intensive online program designed to equip learners with comprehensive data science skills. Participants will explore Python, R, Anaconda, Spyder, R-Studio, machine learning, and data visualization through a mix of theoretical and practical exercises. The course is delivered in a structured format, allowing learners to gain hands-on experience and apply their knowledge to real-world scenarios. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts Suitable for both technical and non-technical backgrounds No prerequisites; basic computer skills recommended What to Expect Structured online format with flexible pacing Hands-on projects using Python and R In-depth exploration of data visualization tools What You'll Achieve Proficiency in Python and R for data science Ability to perform machine learning tasks Skills in data visualization and analysis
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The Google Data Analytics Professional Certificate is a self-paced online course designed to equip learners with essential data analytics skills. Participants will gain insights into the practices of junior data analysts, learning key tools like spreadsheets, SQL, R programming, and Tableau. The course includes AI training from Google experts, focusing on data cleaning, analysis, and visualization, with no prerequisites required. Before You Learn / Who This Course Is For Open to anyone, no degree or experience required Ideal for aspiring data analysts and business professionals Suitable for learners seeking flexible, self-paced study What to Expect Self-paced online learning with flexible scheduling Hands-on projects using spreadsheets, SQL, and R AI training from Google experts integrated in the curriculum What You'll Achieve Professional certificate from Google upon completion Mastery of data cleaning, analysis, and visualization Skills applicable to junior data analyst roles
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The Programming in Data Science certificate program offers a flexible, self-paced learning experience focused on R, Python, SQL, and Hadoop for analytics and statistical analysis. Each course is approximately four weeks long and provides continuing education credits. The program, equivalent to 16.5 U.S. academic credits, is taught by recognized authorities, allowing participants to engage in private forums for interactive learning. Before You Learn / Who This Course Is For Open to aspiring data analysts and scientists Ideal for professionals seeking statistical analysis skills No specific prerequisites required What to Expect Self-paced courses with flexible scheduling Access to private discussion forums with instructors Focus on R, Python, SQL, and Hadoop What You'll Achieve Certificate in Programming in Data Science Mastery of analytics tools and techniques Skills applicable to data-driven roles