Introduction to Data and Data Science
Course descriptionWorking with data is an essential part of maintaining a healthy business. This course will introduce you to the field of data science, help you understand the various processes and distinguish between terms such as: ‘traditional data,’ ‘big data,’ ‘business intelligence,’ ‘business analytics,’ ‘data analytics,’ ‘data science,’ and ‘machine learning.’
The Different Data Science Fields
For a novice, the data science field can be rather confusing. It takes a while to make sense of all the buzz words and different areas of data science. In this section, you will learn how to distinguish between business analytics, data analytics, business intelligence, machine learning, and artificial intelligence. We will discuss all of this with the help of a specially-designed infographic, and by the end of the section, you will know exactly where data science fits into today’s society.
The Relationship between Different Data Science Fields
In this section, you will learn how data science fields relate to each other and which ones leverage on traditional and big data, business intelligence, or traditional data science methods and machine learning.
What is the Purpose of each Data Science field
Here, you will learn not only which are the various data science disciplines, but also what each discipline is used for in practice. This is really valuable for you, as it will allow you to gain an idea of the practical application of the different methods you will learn later on in our program.
Common Data Science Techniques
There are different ways to approach traditional data, big data, business intelligence, traditional data science methods, and machine learning. In this part of the course, we will introduce you to some of the most common techniques to do that, and we will provide several practical examples that will make things easier and more relatable.
Common Data Science Tools
Before we dive in to studying the different types of tools used in data science, we will provide a quick overview for you, so you can have a good idea of why we are studying different tools and how they interact with each other. This will greatly facilitate your learning process, as you will already know what to expect and which tools will be necessary for a specific task.
Data Science Job Positions: What do they Involve and What to Look out for?
In this section, we will discuss several job positions related to the fields of data and data science, including what responsibilities they’re comprised of and what to look out for when choosing your path.
Dispelling common Misconceptions
We will conclude our Intro to Data and Data Science training with a lesson that dispels the most common misconceptions about the field of data science.