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Advanced Analytics: R Scripting Training for
Data Science & Statistical Computing

Objectives

Analyzing data and making predictions, this course teaches how to do that with R. Starting with simple scripts, it moves toward more complex analysis and automation. Along the way, participants get to explore data visualization too. It’s hands-on and practical, though some parts might feel a bit dense at times. Still, it’s a solid way to build up from beginner to advanced skills.

Course Outcome

Employees get better at cleaning messy data quickly and carefully. They make charts and dashboards that explain the numbers in a way people get. They use stats and machine learning to uncover patterns that really matter. Automating work and building Shiny apps helps them share what they find in a way that’s easy to use.

Why Mazenet?


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    Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

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    Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

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    Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

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    Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

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    Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

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    24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Delivery Highlights

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    Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

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    Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

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    Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

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    Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

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    Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

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    Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Course Preview

  • Set up the R environment using RStudio and Jupyter for flexible development. Understand core data structures like vectors, lists, and data frames to manage and manipulate data effectively Learn to write basic functions and scripts, enabling automation and reusable code.

  • Import and export data seamlessly from CSV files and SQL databases. Clean and transform data using dplyr and tidyr to ensure accuracy. Create compelling visualizations with ggplot2 to communicate insights clearly.

  • Perform statistical modeling and regression analysis for data-driven decisions. Apply machine learning techniques using caret and randomForest for predictive analytics. Build interactive Shiny dashboards to visualize data in real-time. Capstone project: Execute an end-to-end data analysis project that integrates all learned skills.