Introduction to Data and Data Science

Introducing you to the field of data science and building your understanding of the key data science terms and processes.

with Martin Ganchev and Iliya Valchanov

Course Overview

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.’

22 High Quality Lessons

17 Practical Tasks

2 Hours of Video

Certificate of Achievement

Skills you will gain

career developmentdata analysisprogrammingtheory

What You'll Learn

You are interested in starting a career in data science? Begin with the very basics by receiving the proper introduction to the world of data with this course!

Distinguish between various data science related fields

Understand the terms traditional and big data

Integrate common data science techniques

Use specific data science tools

What are the most common data science programming languages

Become familiar with data science job positions and alternatives

Curriculum

The Different Data Science Fields Free

6 Lessons 32 Min

Course Introduction Free Why are there so many business and data science buzzwords? Free Analysis vs Analytics Free Intro to Business Analytics, Data Analytics, and Data Science Free Adding Business Intelligence (BI), Machine Learning (ML), and Artificial Intelligence (AI) to the picture Free An Overview of our Data Science Infographic Free
The Relationship between Different Data Science Fields Free

1 Lesson 7 Min

When are Traditional data, Big Data, BI, Traditional Data Science and ML applied? Free
What is the Purpose of each Data Science field Free

1 Lesson 4 Min

Why do we Need each of these Disciplines? Free
Common Data Science Techniques

11 Lessons 54 Min

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
Common Data Science Tools

1 Lesson 6 Min

Programming Languages & Software Employed in Data Science - All the Tools You Need
Data Science Job Positions: What do they Involve and What to Look out for?

1 Lesson 3 Min

Data Science Job Positions: What do they Involve and What to Look out for?
Dispelling common Misconceptions

1 Lesson 4 Min

Dispelling Common Misconceptions

“The first step is the most important. Intro to Data and Data Science focuses on the field of data and data science as a whole. I will guide you through the terms, disciplines, and tools involved, and discuss the possible career paths in front of you.”

Martin Ganchev

Worked at European Commission

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