Data Science Course

Data Science Courses Objectives.

By the end of the data management course, students will have usable knowledge of the following:

• Overall apply statistical methods to data

• Be able to understand Python or programming in R to explore and transform data.

• Understand and create, validate machine learning models with Azure Machine Learning.

• Thoroughly Understand Python/Programming in R code to build machine learning models.

• Apply data science techniques to common scenarios.

• Introduction to compute targets.

• Acquire the skills needed to find structure in data and how to use the python libraries.

• Matplotlib.

• SciKit Learn.

• NumPy.

• NLTK,

• Implement a machine learning solution for a given data problem.

• Overall learn advanced Python or programming in R and Data Analysis to implement computer science algorithms.

• Designing and Implementing a Data Science Solution on Azure.

• Build AI solutions with Azure Machine Learning.

• Azure Machine Learning tools and interfaces.

• Train a machine learning model with Azure Machine Learning.

• Azure Machine Learning estimators.

• Working with Data in Azure Machine Learning.

• Introduction to compute targets and environments.

• Orchestrating machine learning with pipelines.

• Pass data between pipeline steps.

• Deploying machine learning models with Azure Machine Learning.

• Deploy models as a real-time service.

• Consume real-time inferencing service, including troubleshooting.

• In turn Automate machine learning model selection with Azure Machine Learning.

• Automated machine learning tasks and algorithms.

• Preprocessing and featurization.

• Thus Run automated machine learning experiments.