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Data Science

-Data Science

Businesses worldwide today are increasingly using data to drive real-time, fact-based decisions giving rise to a massive demand for qualified Data Scientists.

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Course details

Businesses worldwide today are increasingly using data to drive real-time, fact-based decisions giving rise to a massive demand for qualified Data Scientists.

Learning Path

What is Machine Learning, Components of Machine Learning, Dierence between Machine Learning, Deep Learning, Artificial Intelligence, Types of machine Learning Algorithm
Introduction to R studio, R Features, R Application, R Data structures, R Functions, R-Vector Functions, R- matrix Functions,R-Recursive Functions
R-packages, R-Statistics, R-factor Analysis, R-Data, Reshaping, R-OOP, R-Algorithms.
Basics of Tableau, Tableau Interface, Tableau Workflow, Tableau Architecture, Dierent types of chart, Calculated Field, Level of Details. Integration of R studio with Tableau , Analysis R Data in Tableau.
Python Interpreter, Source Code Encoding, Python Functions, Control Flow tools, Data structures
Standard Modules, packages, Reading and writing to Files,Classes, Algorithms and Models

Key Features

Academic Feture IconIndustry Recommended Learning path for Students

Academic Feture IconAccess to 250+ hours of interactive learning, case study and project execution

Academic Feture IconOver 35+ Modules

Academic Feture IconCertified Industry expert trainers

Academic Feture IconCorporate recognized “Master Certificate” on course completion

Tools Covered

Academic Tools Academic Tools Academic Tools