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Associate Data Scientist in R
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Associate Data Scientist in R
Become a Data Scientist with R
Master the essential skills to launch your data science career using R, the popular programming language for statistical computing and data analysis. In this comprehensive Track, you'll learn how to import, clean, manipulate, visualize and model data using R's powerful packages and libraries. Gain hands-on experience with real-world datasets as you progress from the basics of R programming to advanced statistical and machine learning techniques.Develop a Strong Foundation in R for Data Science
Through interactive exercises and projects, you'll learn to:- Work with data structures like vectors, lists, and data frames
- Write efficient and reusable R functions
- Wrangle and clean data using the tidyverse collection of packages
- Create compelling visualizations with ggplot2
- Apply statistical concepts like hypothesis testing and regression analysis
- Build and evaluate machine learning models for classification and prediction
Learn from Industry Experts and Real-World Datasets
Benefit from the expertise of DataCamp's instructors, including data scientists, statisticians, and R practitioners from top companies and universities. You'll work with diverse, real-world datasets from various domains, such as finance, marketing, and healthcare, ensuring that you develop practical skills that are immediately applicable in the workplace.Prepare for the Associate Data Scientist Certification
This Track is designed to help you confidently pass the Associate Data Scientist in R certification exam. By completing the courses and projects, you'll gain a deep understanding of the key concepts and techniques covered in the certification syllabus. The Track also includes skill assessments to test your knowledge and identify areas for improvement.Advance Your Career with In-Demand R Skills
R is widely used across industries for data analysis, visualization, and machine learning. By mastering R, you'll open up a wide range of career opportunities, including data scientist, data analyst, statistician, and researcher roles. The skills you'll learn in this Track are highly sought after by employers and will help you stand out in the job market.Start Your Journey to Becoming a Certified R Data Scientist
Whether you're a complete beginner or have some experience with R, this Track will help you take your skills to the next level. By the end of the Track, you'll have a portfolio of projects demonstrating your ability to solve real-world data science problems using R. Start your journey today and become a certified Associate Data Scientist in R!Prerequisites
There are no prerequisites for this trackCourse
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
Course
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
Course
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
Course
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Project
Analyze the popularity of programming languages over time based on Stack Overflow data.
Course
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Course
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
Course
Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
Course
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Skill Assessment
Course
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Course
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Course
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.
Project
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
Course
Learn the essentials of parsing, manipulating and computing with dates and times in R.
Skill Assessment
Course
Take your R skills up a notch by learning to write efficient, reusable functions.
Skill Assessment
bonusR Programming
Course
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Course
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Project
Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!
Course
Learn to perform linear and logistic regression with multiple explanatory variables.
Course
Master sampling to get more accurate statistics with less data.
Course
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
Project
Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!
Course
In this course you'll learn about basic experimental design, a crucial part of any data analysis.
Skill Assessment
Course
In this course you will learn the basics of machine learning for classification.
Course
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
Course
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.
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