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Course Description
The "Introduction to Data Science" course provides a comprehensive foundation in data science, equipping participants with the essential skills and knowledge required to analyze, visualize, and interpret data effectively. This course covers the core concepts of data science, including data manipulation, statistical analysis, machine learning, and data visualization, using popular tools and programming languages like Python and R.
What you'll learn in this course?
At the end of Intro to Data Science training course, participants will be able to
• Explain the term called Data Science
• Explore Data Manipulation using R
• Extract and Interpret Data using R
Prerequisites
There is no specific pre-requisite for the course however exposure to core Java and statistics will be beneficial.
Course Curriculum
• Introduction to Statistics
• Types of Statistics
• Measures of central tendency
• Measure of dispersion
• Bias, Skews, Percentiles and Ranges
• Probability
• Bayes Theorem and Decision Tree
• R packages
• Understanding Vectors in R
• Data Manipulation Techniques
• R functions
• Basic YARN and Map Reduce
• Pig
• Hive
• Core Spark
• Resilient Distributed Datasets (RDDs)
• RDD operations
• Spark Cluster Managers
• Spark Abstractions
