About this Event
This event has been UPDATED since it was first published. View the UPDATED & Detailed R Programming language Training course for beginners Information here.
4 Weekends R Programming language Training course is being delivered from January 30, 2021 - February 21, 2021 for 16 Hours over 4 weekends, 8 sessions, 2 sessions per weekend, 2 hours per session.
- All Published Ticket Prices are in US Dollars
- The course will be taught in English language
4 Weekends R Programming language Training Course Schedule
- January 30, 2021 - February 21, 2021 US Pacific time
- 4 Weekends | 2 hours on Saturdays, 2 hours on Sundays every weekend US Pacific time
- 7:30 AM - 9:30 AM US Pacific time each of those days
- Please click here to add your location and check your local date and time for first session to be held on January 30, 2021, 2020 at 7:30 AM US Pacific Time.
Features and Benefits
- 16 Hours, 8 sessions, 4 weekends of total Instructor-led and guided training
- Training material, instructor handouts and access to useful resources on the cloud provided
- Practical Hands-on Lab exercises provided
- Actual code and scripts provided
- Real-life Scenarios
Course Objectives
- Understand programming fundamentals of R language
- Understand various data import methods in R
- Understand the Data Manipulation in R
- Create visualizations and Plots using R
- Understand and Implement Linear Regression
- Perform Text Analysis
- Understand Machine Learning concepts
- Real-time implementation of R on a live project and provide Business Insights
Course Prerequisites
Programming background like C, C++, Python will be an added advantage but not mandatory to learn R, but introductory statistics is a prerequisite.
Who can take this course?
- Software engineers and data analysts
- Business intelligence professionals
- SAS developers wanting to learn open source technology
- Those aspiring for a career in data science
- Professionals and Students looking to enter the Data Science industry
Course Outline
1. Essential to R programming
- An Introduction to R
- Introduction to the R language
- Programming statistical graphics
- Programming with R
- Simulation
- Computational linear algebra
- Numerical optimization
2. Data Manipulation Techniques using R programming
- Data in R
- Reading and Writing Data
- R and Databases
- Dates
- Factors
- Subscribing
- Character Manipulation
- Data Aggregation
- Reshaping Data
3. Statistical Applications using R programming
- Basics
- The R Environment
- Probability and distributions
- Descriptive statistics and graphics
- One- and two-sample tests
- Regression and correlation
- Analysis of variance and the Kruskal–Wallis test
- Tabular data
- Power and the computation of sample size
- Advanced data handling
- Multiple Regression
- Linear models
- Logistic regression
- Survival analysis
- Rates and Poisson regression
- Nonlinear curve fitting
Event Venue & Nearby Stays
IT Training Center, Tech Training Solutions, Elk Grove, United States
USD 450.00 to USD 550.00