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350 Short courses in Software Engineering in United States

Programming for Data Science with Python Nanodegree
The Programming for Data Science with Python Nanodegree programme is offered by Udacity. Learn programming skills needed to uncover patterns and insights in large data sets, running queries with relational databases and working with Unix shell and Git.

Programming for Data Science with R Nanodegree
This Programming for Data Science with R Nanodegree programme at Udacity provides an overview of data analysis and programming.
Parallel Programming in R
In this Parallel Programming in R course offered by Data Camp you will unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
Improving Query Performance in PostgreSQL
In this Improving Query Performance in PostgreSQL course offered by Data Camp you will learn how to structure your PostgreSQL queries to run in a fraction of the time.
Python for R Users
This Python for R Users course offered by Data Camp is for R users who want to get up to speed with Python.
Python Developer
From testing code and implementing version control to web scraping and developing packages, take the next step in your Python developer journey with this Python Developer course offered by Data Camp
ARIMA Models in Python
In this ARIMA Models in Python course offered by Data Camp you will learn about ARIMA models in Python and become an expert in time series analysis.
Software Engineering Principles in Python
In this Software Engineering Principles in Python course offered by Data Camp you will learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Web Scraping in Python
In this Web Scraping in Python course offered by Data Camp you will learn to retrieve and parse information from the internet using the Python library scrapy.
Intermediate R
In this Intermediate R course offered by Data Camp you will continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
Python for Spreadsheet Users
In this Python for Spreadsheet Users course offered by Data Camp you will use your knowledge of common spreadsheet functions and techniques to explore Python!
Transactions and Error Handling in PostgreSQL
In this Transactions and Error Handling in PostgreSQL course offered by Data Camp you will ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Linear Classifiers in Python
In this Linear Classifiers in Python course offered by Data Camp you will learn the details of linear classifiers like logistic regression and SVM.
Object-Oriented Programming with S3 and R6 in R
In this Object-Oriented Programming with S3 and R6 in R course offered by Data Camp you will manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Developing Python Packages
In this Developing Python Packages course offered by Data Camp you will learn to create your own Python packages to make your code easier to use and share with others.
Date and Time Management with Python
This Date and Time Management with Python course offered by INE Tech explains the datetime module, including datetimes, dates, times and timedeltas.
Getting Started with GNS3
This Getting Started with GNS3 course offered by INE Tech is designed for those who have no previous experience with GNS3 and wish to learn how to utilize GNS3 to create Cisco networking topologies.
Rapid Spanning-Tree and MST
The Rapid Spanning-Tree and MST course offered by INE Tech will provide all the details you’ve ever needed to know about RSTP and MST.
RSTP for Network Associates
In this RSTP for Network Associates course offered by INE Tech , you will be exposed to the Rapid Spanning-Tree Protocol (RSTP) and how to implement this protocol.
Hyperparameter Tuning in Python
In this Hyperparameter Tuning in Python course offered by Data Camp you will learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search