Data Science Full Course for Beginners - Python for Data Science
Offered By: Great Learning via YouTube
Course Description
Overview
Watch this 11-hour tutorial on Data Science! Daniel McAfee said, “The world is one big data problem!”, and he couldn’t have been righter! To keep up with the ever-evolving aspects of data and its domains, data handling and analysis has become crucial to understanding the information that comes attached to it, and that is exactly why data science has come such a long way. Data science is gradually conquering the world in all its glory, and that's why it's one of the most sought-after career options today, with millions of people wanting to learn the domain and master it.
Great Learning brings you this 11-hour tutorial on Data Science to take you from the starting point through the finishing point of everything you need to know about this domain and getting started on the journey to master it. This video starts off by introducing you to data science, followed by understanding relevant concepts of statistics and python for data science. Then we look at the concepts of machine learning, probability and database handling. Following this, we will understand exploratory data analysis and data visualization. Finally, we look at the concepts of deep learning and AI in detail! This video teaches Data Science and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.
Syllabus
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.
Taught by
Great Learning
Related Courses
Introduction à la statistique avec RUniversité Paris SUD via France Université Numerique Data Science Capstone
Johns Hopkins University via Coursera Statistical Inference and Modeling for High-throughput Experiments
Harvard University via edX Statistical Thinking for Data Science and Analytics
Columbia University via edX Data Analysis and Interpretation Capstone
Wesleyan University via Coursera