Embark on a comprehensive 11-hour journey through the world of data science, covering essential topics from basic concepts to advanced techniques. Learn about statistics, Python programming, machine learning, probability, database technologies, exploratory data analysis, data visualization, deep learning, and neural networks. Gain practical skills and knowledge to kickstart your career in this rapidly growing field, with demonstrations and examples to reinforce your understanding of key data science concepts and applications.

Syllabus

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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.