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A clear understanding about the data science theory, techniques and its application in Jupyter Notebook platform
An excellent training about Data Science
Data Science on Python Bootcamp
The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on Jupyter Notebook to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with Python along with the correction and handling of errors as and when they pop-up. The program builds a solid foundation by covering the most popular and widely used data science technologies and its applications. Introduction to PythonData Structures and Conditional Executions in PythonConditions and Loops in PythonWorking with Pandas in PythonPlotting in PythonStatistical Analysis and Application in Python (part I)Statistical Analysis and Application in Python (part II)Theory of Factor and Cluster Analysis in PythonBuilding a Predictive Model (Linear Regression) in PythonBuilding a Predictive Model (Logistic Regression) in PythonTime Series theory and its application in PythonWeb Scraping using BeautifulSoup in Python
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