Search result for Applied data science with r specialization Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 50 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Introduction to Clinical Data Science
by Laura K. Wiley, PhD- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
This course will prepare you to complete all parts of the Clinical Data Science Specialization. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. Welcome to the Clinical Data Science Specialization Aggregating Data with SQL...
The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 27 hours to complete
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings....
Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. This course can be applied to multiple Specialization or Professional Certificate programs. Applied Data Science Specialization Working with Data in Python Loading Data with Pandas Pandas: Working with and Saving Data...
Applied Time Series Analysis and Forecasting with R Projects
by R-Tutorials Training- 4.4
-
![]()
![]()
![]()
![]()
![]()
3.5 hours on-demand video
Use R to work on real world time series analysis and forecasting examples. Applied data science with R. Things like exponential smoothing, ARIMA models, time series cross validation, missing data handling, visualizations and forecasts are easily accessible in R and its add on packages. And you will also compare the models with time series cross validation....
$12.99
Introduction To Data Science
by Nina Zumel- 3.6
-
![]()
![]()
![]()
![]()
![]()
6 hours on-demand video
Use the R Programming Language to execute data science projects and become a data scientist. Use the R Programming Language to execute data science projects and become a data scientist. Understand Data Science to Be a More Effective Data Analyst This course begins with a walk-through of a template data science project before diving into the R statistical programming language....
$29.99
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 14 hours to complete
This course covers many of the critical details about handling tidy and non-tidy data in R such as converting from wide to long formats, manipulating tables with the dplyr package, understanding different R data types, processing text data with regular expressions, and conducting basic exploratory data analyses. In this specialization we assume familiarity with the R programming language....
Visualizing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
Data visualization is a critical part of any data science project. In this course you will learn about the ggplot2 R package, a powerful set of tools for making stunning data graphics that has become the industry standard. In this specialization we assume familiarity with the R programming language. Use the ggplot2 R package to develop data visualizations...
Related searches
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 15 hours to complete
Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources. In this specialization we assume familiarity with the R programming language....
Introduction to the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
This course introduces a powerful set of data science tools known as the Tidyverse. We will also cover how non-tidy can be transformed to tidy data, the data science project life cycle, and the ecosystem of Tidyverse R packages that can be used to execute a data science project. The Data Science Life Cycle & Tidyverse Ecosystem...
Become a Python Data Analyst
by Packt Publishing- 4
-
![]()
![]()
![]()
![]()
![]()
4.5 hours on-demand video
world of Data Science and Analytics. known in the community as “Python’s Data Science Stack”. Alvaro Fuentes is a Data Scientist with an M. in Applied Mathematics with more than training services in Data Science topics and has been a consultant for students from around the world in topics like Data Science, Mathematics, Science with Python that he teaches online....
$15.99
