Enhance your Career in Data Science
Category: Educationby samadjpm
Data Science & Machine Learning What is Data Science? Data Science is the knowledge of gathering information from various sources on the internet. It is the art of gathering knowledge that is not readily available by conventional methods. After gathering the data, the field of Data Science also incorporates the knowledge of making sense out of the data and generating strategies to flourish business. There are several fields in which the knowledge of Data Science is invaluable. Fields such as health care, space exploration, automotive technology as well as sports require the in-depth knowledge of Data Science. Also, it is helpful in creating successful business models and implementing strategies that allow a company to make crucial marketing decisions. R and machine learning is also closely integrated with the field of Data Science in Chennai. By the use of computational power, an expert in the field of R and machine learning in Chennai can study the market trends and define parameters for the success of a company. Why Data Science Training Course in Chennai ? A training session in the field of Data Science and R and machine learning is conducted with the aim of conceptualising the practical as well as theoretical aspects of the field. The course not only helps you master the R-programming for data import and collection methods but also teaches you how to manipulate the available data to make sense out of it. How will Data Science with R and Machine Learning Boost Your Career? With the knowledge in the field of Data Science with R and machine learning, you can apply for top MNC companies aiming for top-level positions. This training will help you get the necessary technical exposure in the field that is, in turn, the current demand of the Data Science field. Course Syllabus Some of the important aspects of the Data Science Course in Chennai include, Introduction to Data Science Theory of Data SciencePractical examples of DataScience usageUnderstanding simple and complex Data Structures Introduction to R Theory of RUnderstanding variables and constants in R R-Programming Basics of R ProgrammingReading, writing and scanning of data for R-programmingGraphical R-programming Machine learning Math behind machine learningClassification of Data StructuresCorrelation and regression of Data StructuresPrediction and Forecasting the Data StructuresCase Study of DataScience trends Understanding Data science using R with Machine Learning Analytics OrientationR IntroData-Management using RTesting of HypothesisLiner RegressionLogistic RegressionTreesClusteringMultivariate Techniques-DependencyExploratory Statistical techniquesText Mining & VisualizationMachine Learning & Data-MiningMachine Learning Supervised & UnsupervisedForecasting & Time Series AnalysisSocial Media AnalysisPedagogy1. Lecturing cum Demonstration2. Quiz3. Case study4. Participants presentations Datasets for project orientation will be given, most worked in real time environment.