Welcome to this course on Data Science. Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles.
This course covers the necessary tools and concepts used in the data science industry, including machine learning, statistical inference, working with data at scale and much more.
First, we'll start by showing you the entire process for data science projects and the different roles and skills that are needed. Then you'll learn the basics of obtaining data through a variety of sources, including web APIs and page scraping. We'll show you how to use tools like R, Python, the command line, and even spreadsheets to explore and manipulate data.
We'll also take a look at powerful techniques for analyzing data. We'll be covering a variety of techniques for planning, performing, and presenting your projects to help you get started in data science and making the most of the data that's all around you.
Who this course is for:
Anyone interested in Data Science
Anyone interested in a Data Scientist career
Software developers or programmers
Rating: 5.0 out of 5a year ago
Excellent introduction to Data Science. Very good selection of topics, going into just enough detail to understand the basic concept (to borrow the lecturer's own term: minimal sufficiency). Very good delivery as well, with simple graphics. The lecturer's speech is clear, engaging and well paced - I use the normal playback rate for concepts new to me, but could comfortably speed up at 1.25x for modules that I consider to be a "refresher" given my background.
We offer data science consulting. Our mission is to help businesses unlock the value in their data. We solve complex business problems with high-volume data engineering, analysis, and predictive modeling.