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Data Science Training

The Data Science training has been designed to impart an in-depth knowledge of the various data analytics techniques which can be performed using R. The course is packed with real-life projects, case studies, and includes R Cloud Labs for practice. The course provides an in-depth understanding of the R language, R-studio, and R packages.

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Data Science Training

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  1. Data Science training Let’s Get Started!

  2. Description The Data Science training has been designed to impart an in-depth knowledge of the various data analytics techniques which can be performed using R. The course is packed with real-life projects, case studies, and includes R CloudLabs for practice. The course provides an in-depth understanding of the R language, R-studio, and R packages

  3. Objectives • Gain a foundational understanding of business analytics • Install R, R-studio, and workspace setup. You will also learn about the various R packages • Gain an in-depth understanding of data structure used in R and learn to import/export data in R • Understand and use linear, non-linear regression models, and classification techniques for data analysis

  4. Objectives • Define, understand and use the various apply functions and DPLYP functions • Master the R programming and understand how various statements are executed in R • Understand and use the various graphics in R for data visualization • Gain a basic understanding of the various statistical concepts • Understand and use hypothesis testing method to drive business decisions • Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering

  5. Prerequisite There are no prerequisites for this training program. If you are new in the field of data science, this is the best course to start with.

  6. This course is appropriate for: • IT professionals looking for a career switch into data science and analytics • Professionals working in data and business analytics • Graduates looking to build a career in analytics and data science • Anyone with a genuine interest in the data science field • Software developers looking for a career switch into data science and analytics • Experienced professionals who would like to harness data science in their fields

  7. Course Topics • Getting started with Data Science and Recommender Systems • Reasons to Use Data Science – Project Life cycle • Data Conversion • Set & rules of probability, Bayes Theorem • Tables & Analysis • Acquiring Data • Machine Learning in Data Science • Deep dive into Data Transformation & Apache Mahout • Data Testing and Assessment • Data Model, Algorithms & Prediction • Data Segmentation and Analysis • Integration of R and Hadoop • Data Science Project

  8. Thank You!

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