This course on Data Science with Python aims to provide learners with a comprehensive understanding of data science concepts and tools. By the end of the course, students will be able to:
- Understand the basics of data science, statistics, and Python for data science.
- Apply machine learning techniques and probability concepts in data science.
- Handle databases, perform exploratory data analysis, and visualize data effectively.
- Gain insights into deep learning, neural networks, and artificial intelligence.
The course employs a tutorial format with demonstrations and examples to facilitate learning. It is designed for individuals interested in pursuing a career in data science or enhancing their skills in this domain.
Overview
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
