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R Programming Language for Data Scientists (Data Science) TM

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R Programming Language for Data Scientists (Data Science) TM

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1. R Programming Language for Data Scientists (Data Science)Overview:-This course introduces the R programming language specifically tailored for Data Science applications. It covers the fundamentals of R and its application in data analysis, visualization, and machine learning.Learning Outcomes:-Master the basics of R programming.Apply R in data manipulation, visualization, and modeling.2. Data Science Session 1Overview:-The first session introduces core concepts of Data Science, including data collection, preprocessing, and exploration.Learning Outcomes:-Understand the foundational concepts of Data Science.Learn how to collect and prepare data for analysis.3. Data Science Session 2Overview:-This session delves deeper into data analysis techniques and introduces the basics of statistical modeling.Learning Outcomes:-Explore advanced data analysis techniques.Begin working with statistical models in Data Science.4. Data Science Process OverviewOverview:-Provides a comprehensive overview of the Data Science process, from data collection to model deployment.Learning Outcomes:-Gain a holistic understanding of the Data Science workflow.Learn about each stage of the Data Science process.5. Data ScientistOverview:-Focuses on the role of a Data Scientist, covering key skills, tools, and methodologies used in the field.Learning Outcomes:-Understand the responsibilities and skillset of a Data Scientist.Get acquainted with essential tools and techniques.6. Data Scientist AIML End to EndOverview:-Explores the end-to-end

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