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Data Science with R
Let’s Get Started!
Description
Data Science with R is an open source
programming language that is widely used for
tackling with data science related tasks in everyday
business situations. The Data Science with R
Certification course has been developed to impart
an in-depth knowledge of data science techniques
and their application using R to solve business
problems. The training program provides hands on
learning session on R packages, R language, R
studio and functions to understand and implement
forecasting, predictive modeling, classification and
association techniques. Free Webinar
Objectives
• Gain a foundational understanding of business
analytics
• Install R, R-studio, and workspace setup, and learn
about the various R packages
• Master R programming and understand how
various statements are executed in R
• Gain an in-depth understanding of data structure
used in R and learn to import/export data in R
• Define, understand and use the various apply
functions and DPLYP functions
Objectives
• Understand and use the various graphics in R for data
visualization
• Gain a basic understanding of various statistical
concepts
• Understand and use hypothesis testing method to
drive business decisions
• Understand and use linear, non-linear regression
models, and classification techniques for data analysis
• Learn and use the various association rules and Apriori
algorithm
• Learn and use clustering methods including K-means,
DBSCAN, and hierarchical clustering
Benefits
• It’s open source. No need to pay any subscription
charges.
• The community support is overwhelming. There are
numerous forums to help you out.
• Availability of instant access to over 7800 packages
customized for various computation tasks.
• The style of coding is quite easy.
• Get high performance computing experience
(require packages)
• One of highly sought skill by analytics and data
science companies
Target Audience
• Student and want to build data science skills to
become data scientist
• IT professional looking for a career switch to data
science and analytics
• Job seeker who wants to start a career in data
science
• Analytics/Data Science professional who wants to
learn advanced modeling techniques
• Aspirant who has genuine interest in data science
and wants to grow his skills
Pre-requisites
There are no pre-requisites for this course. The course
starts from scratch which makes it easy to understand for
everyone and provides in-depth knowledge.
• In depth & authorized course material with real
time Case Studies
• Highly qualified trainers
• 24X7 Server Access for Practice.
• Learning Access & 24x7 technical supports
• We provide normal track, weekend, and fast
track classes
• Hands-on & Recorded sessions for further use
• Training Completion Certificate
• On Demand Demo sessions at student flexible
timings.
Data Science with R
Data Science with R

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Data Science with R

  • 1. Data Science with R Let’s Get Started!
  • 2. Description Data Science with R is an open source programming language that is widely used for tackling with data science related tasks in everyday business situations. The Data Science with R Certification course has been developed to impart an in-depth knowledge of data science techniques and their application using R to solve business problems. The training program provides hands on learning session on R packages, R language, R studio and functions to understand and implement forecasting, predictive modeling, classification and association techniques. Free Webinar
  • 3. Objectives • Gain a foundational understanding of business analytics • Install R, R-studio, and workspace setup, and learn about the various R packages • Master R programming and understand how various statements are executed in R • Gain an in-depth understanding of data structure used in R and learn to import/export data in R • Define, understand and use the various apply functions and DPLYP functions
  • 4. Objectives • Understand and use the various graphics in R for data visualization • Gain a basic understanding of various statistical concepts • Understand and use hypothesis testing method to drive business decisions • Understand and use linear, non-linear regression models, and classification techniques for data analysis • Learn and use the various association rules and Apriori algorithm • Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
  • 5. Benefits • It’s open source. No need to pay any subscription charges. • The community support is overwhelming. There are numerous forums to help you out. • Availability of instant access to over 7800 packages customized for various computation tasks. • The style of coding is quite easy. • Get high performance computing experience (require packages) • One of highly sought skill by analytics and data science companies
  • 6. Target Audience • Student and want to build data science skills to become data scientist • IT professional looking for a career switch to data science and analytics • Job seeker who wants to start a career in data science • Analytics/Data Science professional who wants to learn advanced modeling techniques • Aspirant who has genuine interest in data science and wants to grow his skills
  • 7. Pre-requisites There are no pre-requisites for this course. The course starts from scratch which makes it easy to understand for everyone and provides in-depth knowledge.
  • 8. • In depth & authorized course material with real time Case Studies • Highly qualified trainers • 24X7 Server Access for Practice. • Learning Access & 24x7 technical supports • We provide normal track, weekend, and fast track classes • Hands-on & Recorded sessions for further use • Training Completion Certificate • On Demand Demo sessions at student flexible timings.