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Explore the various stages of the Data Science Life cycle in the trajectory of this data science training in ecil .Initially conceptualize Data preparation, Data Cleansing, Exploratory Data Analysis and Data Mining (Supervised and Unsupervised).

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The tesseract is a 4-dimensional cube. It was chosen as a logo to symbolise the 4 dimensions of data science: Artificial Intelligence, Machine Learning, Statistics and Business.

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It is right to say that machine learning has changed the way of analyzing data.

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Today with the rise Big Data, two such concepts have become more popular than ever that are Data Science and Data Analytics. Traditional data processing and analysis technologies are unable to handle the large and complicated amount of data generated every day by the digital world, hence the use of these concepts. Data Science and Data Analytics are like the two sides of same coin. Although Data Science is a bigger subject than Data Analytics, it can be said that the latter is related to providing solutions to the problems discovered by the former.

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