Track
Data Scientist in R
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Included with PremiumTrack Description
Data Scientist in R
Prerequisites
Associate Data ScientistCourse
Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.
Course
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Course
Understand the fundamentals of Machine Learning and how it's applied in the business world.
Course
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
Course
Learn how to create and query relational databases using SQL in just two hours.
Course
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
Project
Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.
Course
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
Project
Use SQL to figure out the golden era of video games!
Course
Discover the fundamentals of Git for version control in your software and data projects.
Course
Discover branches and remote repos for version control in collaborative software and data projects using Git!
Complete
Earn Statement of Accomplishment
Add this credential to your LinkedIn profile, resume, or CVShare it on social media and in your performance reviewEnroll Now
FAQs
Is this Track suitable for beginners?
No, prior knowledge of the DataCamp track Associate Data Scientist in R is assumed.
What is the programming language of this Track?
This Track utilizes the R programming language.
Which jobs will benefit from this Track?
This Track will prepare you for any data science-related job. It will give you the skills and training necessary to pass the Data Scientist Professional with R certification and make you an invaluable asset in the field of data science.
How will this Track prepare me for my career?
This Track covers a wide range of skills related to data science, such as data manipulation, visualization, and analysis, as well as real-world datasets, your own functions, and foundational statistical and machine learning techniques. Additionally, you will learn SQL for relational databases and Git for data science projects. All of these will help to prepare you for a career in data science.
How long does it take to complete this Track?
The Track usually takes 107 hours to complete as it consists of several courses that significantly upskill users.
What's the difference between a skill track and a career track?
A skill track is a collection of courses that focus on one specific skill set. A career track is much more comprehensive and consists of multiple different courses meant to help build the skills you need to start a career in a particular field.
Are the datasets provided in this track real?
Yes, the datasets provided in this track are all created from real-world examples.
Are there any prerequisites for taking this Track?
No, this track assumes that the user has no prior knowledge of data science or R programming, but some basic knowledge of programming is helpful.
Does DataCamp offer Data Scientist Certification?
Yes. DataCamp's industry recognized Certifications include the Data Scientist Certifications, designed to equip you with the essential skills and practical knowledge required to excel in the role of a Data Scientist.
Join over 19 million learners and start Data Scientist in R today!
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