Multisoft Systems is a renowned training organization that focuses on providing quality training programs to the candidates. Their “Data Science with R” training program is designed for Data/Business Analysts and anyone who has an interest in the field of Data Science. You will learn to explore R data structures and syntaxes, work with data and transform them to fit your needs, create functions and use control flow, etc.
https://www.multisoftsystems.com
2. Data Analytics
Data Analytics is the process of examining the data sets
to discover useful information. By using advanced
analytics, companies are able to make better use of the
customer data, leading to higher customer satisfaction
and loyalty in the long run. Data Analytics is helping
businesses to drive positive outcomes, while
maintaining and facilitating the highest level of data
protection. Analytics has changed the traditional
approaches to deliver a product. It has helped
organizations to anticipate their capacity to
meet client’s request, achieving customer requirements
and meeting the commitments.
Data Analytics Using R
3. “R”
R has the perfect mix of desirable attributes,
including high data science for business capability,
low cost, and fast growth. It has turned out to be a
high-performance data science tool, due to the
presence of open source libraries for statistics,
machine learning, and data science. It is widely
chosen by scientists, engineers and business
professionals.
Data Analytics Using R
4. Why Choose “R” For Data Science?
1. Majority of the researchers and scholars
use R for experimenting with data science.
A lot of books and learning resources on
“data science using R” for statistical
analysis are available. This has created a
large pool of skilled statisticians who use
this knowledge. Thus, making R popular
among data scientists.
Data Analytics Using R
5. 2. R has an extensive library of tools for
database wrangling, which is the process
of cleaning complex data sets to enable
convenient consumption and further
analysis. It is a very important process, and
might consume a lot of time. But, packages
like dplyr, data.table, and readr facilitates
data exploration and transformation.
Data Analytics Using R
6. 3. R has many tools that help in data
visualization, which is the visual
representation of data in graphical form.
This allows analyzing the data from angles
that are not clear in a tabulated form.
Ggplot2 and ggedit packages are used for
the standard plotting, where ggplot2
focuses on visualizing data, and ggedit
helps in bridging the gap between making
a plot and getting plot aesthetics precisely
correct.
Data Analytics Using R
7. 4. R is especially designed for statistical
analysis and data reconfiguration. All the R
libraries focus on making data analysis
easier, more approachable and detailed. It
has a very active and supporting
community, members of which have a
great knowledge of statistics as well as
programming. This makes R a perfect
choice for data science projects.
Data Analytics Using R
8. 5. R applies a variety of statistical tests to the
data, and uses standard machine learning
and data mining techniques. It makes
machine learning easier and more
approachable. It also has an extensive list
of packages for machine learning. Some of
the ML packages are MICE, rpart, PARTY,
CARET, and randomFOREST.
Data Analytics Using R
9. 6. R is an open-source programming
language. This makes development happen
at a rapid scale. It is also highly cost
effective for a project of any size. As
mentioned earlier, R comes with a huge
community of developers. It is free,
flexible and fast. When it comes to data
analysis, data modeling and machine
learning, it provides more depth.
Data Analytics Using R
10. Top Companies Using R For Data Science
• Airbnb’s data scientists use R as their primary
analysis tool. It is used to predict re-booking rates
using past guest ratings and to automate
guest/host matching.
• R has enabled Twitter to create some impressive
projects and improve their customers’
experience.
• Google uses R to determine the effectiveness of
display ads. It gathers and visualizes search
behaviors, ensuring advertisers are getting the
most for their money.
Data Analytics Using R
11. • Another tech giant, Microsoft chose R for
visualization in their Xbox matchmaking system.
• By using R, Facebook is able to perform sizable
behavior analysis based on status and profile
picture updates.
• “Data Science using R” is not just limited to social
networking sites and search engines. John Deere,
which is an American corporation that
manufactures agricultural, construction, and
forestry machinery, etc., claims to save
substantial amount of money after adopting R.
Data Analytics Using R
12. “Data Science with R” Training Program by
Multisoft systems
Multisoft Systems is a renowned training
organization that focuses on providing quality
training programs to the candidates. Their “Data
Science with R” training program is designed for
Data/Business Analysts and anyone who has an
interest in the field of Data Science. You will learn to
explore R data structures and syntaxes, work with
data and transform them to fit your needs, create
functions and use control flow, etc.
Data Analytics Using R