Welcome to this course on Data Science.An overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data.

Data science is an exciting, fast-moving field to become involved in. There's no shortage of demand for talented, analytically-minded individuals. Companies of all sizes are hiring data scientists, and the role provides real value across a wide range of industries and applications.

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. We will get into what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists

First, we'llstart by showing you the entire processfor data science projects and the different rolesand skills that are needed.Then you'll learnthe basics of obtaining datathrough a variety of sources, including web APIsand page scraping.We'll show youhow to use tools like R, Python,the command line, and even spreadsheetsto explore and manipulate data.

We'll also take a look at powerful techniquesfor analyzing data. We'll be covering a variety oftechniques for planning, performing, and presentingyour projects to help you get started in data scienceand making the most of the data that's all around you.

By the end of this course you'll have a solid understanding of what data science is. Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles.