R is a functional programming environment for business analysts and data scientists. It’s a language that many non-programmers can easily work with, naturally extending a skill set that is common to high-end Excel users. It’s the perfect tool for when the analyst has a statistical, numerical, or probabilities-based problem based on real data, and they’ve pushed Excel past its limits.
Introduction to R Programming for Data Science & Analytics is a hands-on course that presents common scenarios encountered in analysis and present practical solutions. This course provides indoctrination in the practical use of the umbrella of technologies that are on the leading edge of data science development focused on R and related tools. Working in a hands-on learning environment, led by our expert practitioner, you’ll learn R and its ecosystem, and where it’s a better a tool than Excel.
- Price: $2,195.00
- Duration: 1 day
- Delivery Methods: Virtual
| Date | Time | Price | Option |
|---|---|---|---|
| Please contact us at info@toptalentlearning.com or 469-721-6100 for this course schedule. |
For questions call: (469) 721-6100
Why choose
TOPTALENT?
- Get assistance every step of the way from our Texas-based team, ensuring your training experience is hassle-free and aligned with your goals.
- Access an expansive range of over 3,000 training courses with a strong focus on Information Technology, Business Applications, and Leadership Development.
- Have confidence in an exceptional 95% approval rating from our students, reflecting outstanding satisfaction with our course content, program support, and overall customer service.
- Benefit from being taught by Professionally Certified Instructors with expertise in their fields and a strong commitment to making sure you learn and succeed.
Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most. Each chapter below has hands-on labs.
- Session: Data Science Essentials
- Data Science
- Process of Doing Data Science
- Session: Introducing R
- R Essentials
- Variables and Types
- Control Structures (Loops / Conditionals)
- R Scalars, Vectors, and Matrices
- Defining R Vectors
- Matrices
- String and Text Manipulation
- Character data type
- File IO
- Lists
- Functions
- Introducing Functions
- Closures
- lapply/sapply functions
- DataFrames
- Session: Intermediate R
- DataFrames and File I/O
- Reading data from files
- Data Preparation
- Built-in Datasets
- Visualization
- Graphics Package
- plot() / barplot() / hist() / boxplot() / scatter plot
- Heat Map
- ggplot2 package ( qplot(), ggplot())
- Exploration With Dplyr
- Session: Analytics With R
- Statistical Modeling With R
- Statistical Functions
- Dealing With NA
- Distributions (Binomial, Poisson, Normal)
- Data Exploration
- Regressions
- Linear Regressions
- Logistic Regressions
- Text Processing (tm package / Wordclouds)
- R and Big Data
This course provides indoctrination in the practical use of the umbrella of technologies that are on the leading edge of data science development focused on R and related tools. Working in a hands-on learning environment, led by our expert practitioner, you’ll explore R and its ecosystem, and where it’s a better a tool than Excel.
This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current “on-the-job” experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore:
- Data Science essentials
- R programming Essentials
- Variables and Types, Loops, R Scalars, Vectors, and Matrices
- String and Text Manipulation, List & Functions
- DataFrames and File I/O
- Reading data from files and data prep
- Visualization
- Exploration With Dplyr
- Statistical Modeling With R
- Data Exploration
- Regressions
- R and Big Data
Need different skills or topics? If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate. We offer additional R Programming, Python, data science, AI / machine learning / deep learning and other related topics that may be blended with this course for a track that best suits your needs. Our team will collaborate with you to understand your needs and will target the course to focus on your specific learning objectives and goals.
This course, geared for Data Analysts and Data Scientists who need to learn the essentials of how to program in R. Students should have intermediate-level experience in their field, and prior experience working with programming languages.
This course, geared for Data Analysts and Data Scientists who need to learn the essentials of how to program in R. Students should have intermediate-level experience in their field, and prior experience working with programming languages.
