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Data Science using R

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Home / Data Analysis & Statistics / Data Science using R

Course Fees: $329
Certificate : Yes
Course Type : Instructor-Led
Level : Intermediate
Subject : Data Analysis & Statistics
Course Overview:

Data Science is considered as a professional field that includes the process of extracting the knowledge using the data. It helps in making sense of all types of data. R is data analysis software. This course teaches you how to use R to create statistical computing and graphics, statistical analysis, data visualization, and predictive modeling. It covers all relevant concepts in computer science, mathematics, statistics and data analysis that are useful for developing models in data science.

Learning Outcome:

Upon completion of this course, you will be able to understand fundamentals of statistics and probability, and create programs with R for interpreting and visualizing various types of data. Key topics covered include:

  • Introduction to R Programming
  • Interpret Dataset with Packages
  • Fundamentals of Statistics & Probability
  • Data Visualization
  • Data Distribution & Correlation
  • Classification – KNN, Naïve Bayes
  • Decision Tree, Random Forest
  • Text Mining, WordCloud
  • Forecasting / Time Series

Ideal for:

  • No need for a degree in engineering.
  • Suitable for IT Professionals / Analytics Managers / Business Analysts
  • Banking and Finance Professionals / Marketing Managers / Supply Chain Managers
  • Required: Basic Knowledge of Statistics & Basic Understanding of Any Programming Language

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