Data Scientist A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.

You’ll learn in-demand skills used by professional data scientists including databases, data visualization, statistical analysis, predictive modeling, machine learning algorithms, and data mining.

In this module, we'll introduce and define data science and data itself. We'll also go over some of the resources that data scientists use to get help when they're stuck.

The course will help you describe what it means to be a Real World Data Scientist in the pharmaceutical industry. You will discover the particularities of the data sources and learn how to generate high …

Data is transforming the way that healthcare is managed and delivered. From genomics to bioinformatics, learn how to leverage data to help prevent epidemics, cure diseases, and cut down …

This is an intensive introduction to what you need to know about data science itself. You'll learn important terminology and how successful organizations use data science.

The course is designed to integrate concepts of hardware, software, and the Internet. This course also provides an overview of data security, data privacy, and ways to increase productivity and efficiency. …

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Over 8 courses, gain in-demand skills that …

This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate …

Advanced data analytics (also known as data science) uses math and statistics, programming, artificial intelligence (AI), and machine learning to uncover insights within an organization’s data.