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​.
​ Introduction.
​ Agenda.
​ Basics of Data Science.
​ Statistics for Data Science .
​ Python for Data Science.
​ Machine Learning.
​ Probability for Data Science.
​ Database Technologies.
​ Exploratory Data Analysis.
​ Data Visualization for Data Science.
​ Deep Learning.
​ Neural Networks.
​ Summary.
Great Learning
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