Python for Data Science and Advanced Data Analytics

Course Overview:

This is an intermediate course to data science as well as Python and its applications in data science. The course teaches you to write your own Python scripts and perform data analytics. The focus of this course is on using Python for visualization of statistical, financial, geographic, and scientific data, and 3-dimensional use cases. You will also learn how to make line plots, scatter plots, area charts, bar charts and error bars.

Learning Outcome:

Upon successful completion of this course, you will be able to create maps using the Plotly library, a graphing library, and create unique chart types. Key topics covered include:

• Understanding of Distribution theorems
• Concept of Structured and Unstructured data
• Clustering methods and Its implementations
• TensorFlow, Keras Libraries for numerical computations
• Python Libraries used in Data science and analytics process such as NumPy,Panda,SciKit many more.