Intro to Data and Data Science
Working 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.’
2 hours 
17 quizzes 
4 downloadables
Sign up to
preview the program
for FREE!
Create a free account and start learning data science today.
create free account
Our graduates work at exciting places:
Section 1
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.
Section 2
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.
Section 3
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.
Section 4
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.
Traditional Data: Techniques
Traditional Data: Real-life Examples
Big Data: Techniques
Big Data: Real-life Examples
Business Intelligence (BI): Techniques
Business Intelligence (BI): Real-life Examples
Traditional Methods: Techniques
Traditional Methods: Real-life Examples
Machine Learning (ML): Techniques
Machine Learning (ML): Types of Machine Learning
Machine Learning (ML): Real-life Examples
Section 5
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.
Programming Languages & Software Employed in Data Science - All the Tools You Need
Section 6
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.
Data Science Job Positions: What do they Involve and What to Look out for?
Section 7
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.
Dispelling Common Misconceptions
Data Science Fundamentals
This course is part of Module 1 of the 365 Data Science Program. The complete training consists of four modules, each building upon your knowledge from the previous one. Whereas the other three modules are designed to improve upon your technical skill set, Module 1 is designed to help you create a strong foundation for your data science career. You will understand the core principles of probability, statistics, and mathematics; you will also learn how to visualize your data.
See All Modules
Why Choose the 365 Data Science Program?
Practice
Real-life project and data. Solve them on your own computer as you would in the office.
Q&A Hub
Our expert instructors are happy to help. Post a question and get a personal answer by one of our instructors.
Certificates
Earn a verifiable certificate after each completed course. Celebrate your successes and share your progress with your professional network!
Trust the other 500,000 students
The course is in-depth and is delivered at a steady pace with eye catching visuals. The instructors go through all the basics really well. They try not to over-simplify the material, you get a good sense аof how deep Data Science is in the course. Great job!!!
This course is amazing! After watching the video carefully and doing all the exercises, I am even capable of having discussions with Machine learning major Master’s students! High standard course with reasonable pricing.
Very clear and in-depth explanation of data science and how all the inter-related concepts apply in real life business environment. Absolutely great for beginners! Best data science course I have come across so far!
I would highly recommend the course to any beginner who wants to venture into the world of Data Science. The concepts are very well explained and there is an emphasis on practical application which really helps create a better understanding of the concepts.
Ready to start?
Sign up today for FREE!
