R Programming for Data Science & Machine Learning
Self-paced videos, Lifetime access, Study material, Certification prep, Technical support, Course Completion Certificate
Summary
- Certificate of completion - Free
- Reed courses certificate of completion - Free
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Overview
Uplatz offers extensive course on R Programming for Data Science & Machine Learning. It is a self-paced video course. You will be awarded Course Completion Certificate at the end of the course.
R is a high-level programming language for statistical analysis, graphics representation and reporting. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. R is a powerful language for data analysis, data visualization, machine learning, statistics. Originally developed for statistical programming, it is now one of the most popular languages in data science.
R provides a wide range of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and graphical data representation. It also offers various data manipulation and cleaning tools, as well as a wide range of add-on packages for specialized tasks.
R programming language is a popular language among statisticians, data analysts, and researchers who deal with large amounts of data. Here are some key characteristics of R programming language:
Open source: R is free and open-source software, which means that it can be used, modified, and distributed by anyone.
Graphics: R provides a wide range of graphical capabilities, including static and interactive visualizations, which can be used to analyze and communicate data effectively.
Large community: R has a large community of users and developers, which means that there are many resources available for learning and troubleshooting.
Packages: R has over 18,000 packages available on the Comprehensive R Archive Network (CRAN) that extend its functionality and can be used for a wide variety of applications.
To learn R programming language, here are some steps you can follow:
Install R: You can download and install R from the Comprehensive R Archive Network (CRAN) website. It is available for Windows, Mac, and Linux.
Choose an Integrated Development Environment (IDE): An IDE makes it easier to write and run R code. Some popular IDEs for R are RStudio, Visual Studio Code, and Jupyter Notebook.
Learn the basics: Start by learning the basics of R syntax, data types, and data structures. You can find many online resources, such as tutorials, books, and videos.
Practice coding: Start coding small programs and practice coding with real-world data sets. This will help you to get familiar with R and its capabilities.
Explore packages: R has a vast library of packages that can help you to perform specific tasks. You can explore these packages and find the ones that are relevant to your work.
Join the community: Join R user groups, forums, and mailing lists to connect with other R users and get help with your coding challenges.
Overall, learning R programming language can be challenging but rewarding, and it can help you to unlock the full potential of your data analysis projects.
In this R Programming for Beginnerscourse, you'll be learning about the basics of R, and you'll end with the confidence to start writing your own R scripts. But this isn't your typical textbook introduction to R. You're not just learning about R fundamentals, you'll be using R to solve problems related to movies data. Using a concrete example makes the learning painless. You will learn about the fundamentals of R syntax, including assigning variables and doing simple operations with one of R's most important data structures -- vectors! From vectors, you'll then learn about lists, matrix, arrays and data frames. Then you'll jump into conditional statements, functions, classes and debugging. Once you've covered the basics - you'll learn about reading and writing data in R, whether it's a table format (CSV, Excel) or a text file (.txt). Finally, you'll end with some important functions for character strings and dates in R.
Certificates
Certificate of completion
Digital certificate - Included
Course Completion Certificate by Uplatz
Reed courses certificate of completion
Digital certificate - Included
Will be downloadable when all lectures have been completed
Curriculum
Course media
Description
R Programming for Data Science & Machine Learning - Course Curriculum
1.1. FUNDAMENTALS OF R
- Installation of R & R Studio
- Features of R
- Variables in R
- Constants in R
- Operators in R
- Datatypes and R Objects
- Accepting Input from keyboard
- Important Built-in functions
1.2. VECTORS
- Creating Vectors
- Accessing elements of a Vector
- Operations on Vectors
- Vector Arithmetic
1.3. CONTROL STATEMENTS
- I statement
- if…else statement
- if else() function
- switch() function
- repeat loop
- while loop
- for loop
- break statement
- next statement
1.4. FUNCTIONS IN R
- Formal and Actual arguments
- Named arguments
- Global and local variables
- Argument and lazy evaluation of functions
- Recursive functions
1.5. MATRICES
- Creating matrices
- Accessing elements of a Matrix
- Operations on Matrices
- Matrix transpose
1.6. STRINGS
- Creating strings
- paste() and paste0()
- Formatting numbers and string using format()
- String manipulation
1.7. LISTS
- Creating lists
- Manipulating list elements
- Merging lists
- Converting lists to vectors
1.8. ARRAYS IN R
- Creating arrays
- Accessing array elements
- Calculations across array elements
1.9. R FACTORS
- Understanding factors
- Modifying factors
- Factors in Data frames
1.10. DATA FRAMES IN R
- Creating data frame
- Operations on data frames
- Accessing data frames
- Creating data frames from various sources
1.11. DATA VISUALIZATION IN R
- Need for data visualization
- Bar plot
- Plotting categorical data
- Stacked bar plot
- Histogram
- plot() function and line plot
- pie chart / 3D pie chart
- Scatter plot
- Box plot
1.12. STRINGR PACKAGE
- Important functions in stringr
- Regular expressions
1.13. DPLYR PACKAGE
Who is this course for?
Everyone
Requirements
Passion and determination to achieve your goals!
Career path
- Software Engineer - R, Python
- R Programmer Analyst
- Data Analyst & Consultant
- Data Scientist
- Data Architect
- Application Developer
- Software Developer & Programmer
- Application Developer
- Business Analyst
- BI & Reporting Developer/Analyst
- IT Consultant
- Technical Lead
- Solution Architect
- Data Science Engineer - Machine Learning/R
- Machine Learning Engineer
- R Programming Application Developer
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Provider
Uplatz is leading global provider of IT & Technology training.
We have a strong network of qualified and experienced tutors. Uplatz provides training on cutting-edge technologies such as Data Science, Machine Learning, AWS, Microsoft Azure, Google Cloud, IBM Cloud, Data Engineering, Python, R, Java, SAP, Oracle, SAS, Salesforce, Web Development Stack, JavaScript, ReactJS, AngularJS, NodeJS, JSP & Java Servlets, MongoDB, BI Tools such as Tableau, Spotfire, Power BI, DW & ETL tools such as Informatica, IBM DataStage, Talend, DevOps, Project Management, Software Testing, and many more.
We provide training courses in both online formats - 1) live tutor-led, 2) self-paced videos
We feel proud to say that we are making learning affordable by keeping prices of all our courses very low. Our course prices are listed at almost 90% discounted rate from average market price.
Our Vision
- To become a global leader in the learning sector by providing training on job-oriented technologies
Our Mission
- To provide high-quality training on industry-demanded technologies
- To make learning affordable for the masses by keeping our prices extremely low
- To help our talented students get a high-paying job in the market
Will I get a Certificate of Course Completion?
Course Completion Certificate is awarded by Uplatz
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Will I be provided study material, tutor notes and practice assignments?
Uplatz provides tutor notes, practice assignments, practice sessions, and a lot of useful study material for free. This will help you in job interviews and certification exams.
In case of tutor-led online training, will I have access to the recorded sessions?
Yes. All live classes get recorded and life-time access on the recordings is provided.
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This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
