Data Science - R Programming
Start your Learning the way you want. Our Data Science Program gives you Instant Path to the Career Desired. Our 116-hour intensive curriculum includes 8 Modules, 17 Case Studies, 26 hours of Capstone Project and extensive hands-on Skill Building Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions
LEARNING OUTCOMES: Apply data science techniques to data management challenges Obtain, clean/process and transform data Deploy machine learning algorithms to mine your data Use appropriate models of analysis, assess the quality of input, derive insight from results, and investigate potential issues Interpret analytical models to make better business decisions Formulate and use appropriate models of data analysis to solve hidden solutions to business-related challenges Understand the challenges associated with scaling big data algorithms Convert datasets to models through predictive analytics Think Critically and Creatively, conceptualizing Real-World Problems from different perspectives
MODULES COVERED: Big Data Concepts Database Concepts Microsoft Excel for Data Science Statistics for Data Science Statistical Methods in AI by using MS Excel Statistical Methods in AI by using R Tool for Insurance and Banking Analytics Development of Algorithms by Freeware Tools Capstone Project
Course Fee: £1000
Duration: 1 Month
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