Data Science Principles: Learn the Tools and Techniques


Updated on

Course overview

Course type
Paid course
All Levels
3 hours
39 lessons
Available on completion
Course author
Data Hawk Tech
  • Programming with R, Python, and SQL
  • Understand roles and careers in data science
  • Sourcing data
  • Data science in math and statistics
  • Data science and machine learning


An overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data.

Welcome to this course on Data Science. 

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'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. 

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. 

Similar courses

Data Science Principles: Learn the Tools and Techniques
  • English language

  • Recommended provider

  • Certificate available