Applied Data Science with R
This Specialization is intended for anyone with a passion for learning who is seeking to develop the job-ready skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist. Through these five online courses, you will develop the skills you need to bring together often disparate and disconnected data sources and use the R programming language to transform data into insights that help you and your stakeholders make more informed decisions. By the end of this Specialization, you will be able to perform basic R programming tasks to complete the data
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- Level Foundation
- Course by IBM
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Offered by
About
This Specialization is intended for anyone with a passion for learning who is seeking to develop the job-ready skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist. Through these five online courses, you will develop the skills you need to bring together often disparate and disconnected data sources and use the R programming language to transform data into insights that help you and your stakeholders make more informed decisions. By the end of this Specialization, you will be able to perform basic R programming tasks to complete the data analysis process, including data preparation, statistical analysis, and predictive modeling. You will also be able to create relational databases and query the data using SQL and R and communicate your data findings using data visualization techniques.Auto Summary
Unlock the power of data with the "Applied Data Science with R" specialization, designed for those keen to gain a competitive edge in the job market as entry-level data scientists. Through this comprehensive program offered by Coursera, you'll master essential skills to collect, analyze, and transform data using the R programming language. Ideal for beginners, this specialization covers five online courses that guide you through the entire data analysis process. You'll learn to integrate diverse data sources, perform data preparation, conduct statistical analysis, and develop predictive models. Additionally, you'll gain proficiency in creating and querying relational databases using SQL and R, and effectively communicate your findings through data visualization techniques. The course, led by experienced instructors, ensures you build a solid foundation in data science, making you job-ready with practical tools and a robust portfolio. Flexible subscription options, including Starter and Professional plans, allow you to choose the pace that fits your learning style. Whether you're just starting or looking to upskill, this specialization is your gateway to a successful career in data science.
Yan Luo
Rav Ahuja
Tiffany Zhu
Yiwen Li
Gabriela de Queiroz
Saishruthi Swaminathan
Jeff Grossman