In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!

This course provides you with practical skills to build and manage data pipelines and Extract, Transform, Load (ETL) processes using shell/python scripts, Airflow and Kafka.

Learn about computer vision, one of the most exciting fields in machine learning. artificial intelligence and computer science.

This Capstone Project is designed for you to apply and demonstrate your Data Engineering skills and knowledge in SQL, NoSQL, RDBMS, Bash, Python, ETL, Data Warehousing, BI tools and Big Data.

Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.

Learn about the most popular data science tools, including how to use them and what their features are.

This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.

In this DevOps Capstone Project, you’ll demonstrate your skills and knowledge gained throughout this program with a real-world inspired hands-on project developing and deploying an application using CI/CD to showcase in your portfolio.

For this project you will apply your knowledge of front end and back end development gained from previous courses and build and deploy a full stack real-world web application on the cloud.

Level up your Django skills in just an hour and a half by building your own movie recommender. This hands-on guided project is perfect for beginning web developers who are interested in learning more about Django.

Developers, no matter what the language, who have containerization and cloud skills are in demand. With basic Python knowledge, in an hour, you gain containerization and cloud deployment skills that employers want and that you can use with any application.

Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps