R programming language is a free, open-source software used for all kinds of data science, statistics, and visualization projects. R analytics is powerful, versatile, and able to be integrated into BI platforms, to get the most out of business-critical data.
DurationThis is an introductory and beginners’ course to learning and understanding the fundamentals of coding in R and its applications to Data Science.
This programme is aligned with the current requirements of the industry today. Today Data Analysts and Data Scientists are required to use languages and statistical packages in R. This workshop aims at quickly speeding up a beginner analyst to using R as a data science tool.
The programme will define data science and explore the main things a data analyst/scientist must do – cleaning and visualizing data, the Data Science Workflow, Web Scraping and basic machine learning models.
The participants will learn and use various R packages for these tasks. At the end of the programme, the participant should have a working knowledge of how to solve data science problems with R.
Xaltius Academy helps train students and adult professionals in the areas of Programming, Data Science, AI, Cybersecurity, Blockchain and others through customized and interactive training courses and workshops.
Unlock your potential and boost your career with top-quality technical training and education in data science, software engineering, cybersecurity, and blockchain. Our industry-expert instructors provide customized solutions for both individuals and businesses, helping you stay ahead of the curve in today’s rapidly-changing digital landscape.
Xaltius works with institutions and industries to impart the latest knowledge in technology with the help of our expert instructors and consultants. With a track record of successful partnerships, we strive to create meaningful and lasting collaborations that foster growth, knowledge exchange, and impact.
This R programming course in Singapore forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science.
Today, the word's data is growing at an astonishing rate. It is said that the world's most valuable resource is no longer "oil", but "data". More and more, we see forward-looking corporates harvesting and analysing large complex datasets to improve competitiveness.
This course is for experienced R users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation.
RÂ is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students.
Data science is the future and among the hottest trends in the job market right now. Not only IT, but every sector, from Banking to Healthcare, and Transport to E-Commerce, is now realizing the disruptive powers of data science and using it to enhance business.
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