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Introduction to Data and Data Science popular

with Martin Ganchev and Iliya Valchanov
4.8/5
(13,741)

This data science fundamentals course is the perfect introduction to the field. Gain an overall understanding of data analysis, machine learning, and statistical techniques. Learn how data science helps businesses solve real-world problems

2 hours of content 201726 students
Start for free

What you get:

  • 2 hours of content
  • 54 Interactive exercises
  • 6 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Introduction to Data and Data Science popular

A course by Martin Ganchev and Iliya Valchanov
Start for free

What you get:

  • 2 hours of content
  • 54 Interactive exercises
  • 6 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement
Start for free

What you get:

  • 2 hours of content
  • 54 Interactive exercises
  • 6 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

What You Learn

  • Acquire high-level understanding of data science fundamentals
  • Understand how traditional data analysis and data science create business value
  • Become familiar with key data terms and concepts
  • Learn the intuition behind key business intelligence and machine learning methods
  • Gain an understanding of the technical tools used by data scientists on the job
  • Distinguish different data science job positions and career opportunities in the field

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

Are you looking for a well-structured data science fundamentals course? Do you want to gain a clear understanding of the data science field? This is the perfect course for you! If terms like ‘traditional data,’ ‘big data,’ ‘business intelligence,’ ‘business analytics,’ ‘data analytics,’ ‘data science,’ and ‘machine learning’ sound confusing, then taking this data science fundamentals course will help you understand the meaning and practical application of these concepts—making you proficient in the language of data. These skills can boost anyone's career. We live in the age of AI, but few people realize that data science fundamentals are the foundation upon which AI is built. This course is suitable for aspiring data analysts and data scientists. Still, it’s also highly recommended for business executives and professionals to enhance their understanding of data-driven decision-making. Embark on a journey through the various domains of data science—exploring the connections among them for a comprehensive understanding of the field. You’ll soon comprehend the business and analytical motivations behind specific analyses and the necessity of data science. Additionally, you'll discover the techniques and tools data analysts and data scientists employ to analyze data effectively. If you're considering a career in data science, this course is invaluable because it clearly and thoroughly introduces various data science roles. Completing it will clarify who does what and help you identify the role that matches your career aspirations—setting a clear path to your goals. What sets this data science fundamentals course apart from others? Several key differences exist: 1. Exceptional Content Quality Our team has spent thousands of hours to create the best learning experience for you. We develop content full-time, invest significant time to digest complex topics quickly and design a pleasant learning journey. 2. Top Online Data Science Intro Course This course has become one of the most popular online courses on data science fundamentals. For example, one of the course’s flagship resources (365 Data Science Infographic) has been shared over a thousand times on LinkedIn. Over a million students worldwide have chosen this course and rated it excellent. 3. Engaging Animations Learning visually is one of the best ways to understand complex topics such as data science, machine learning, and deep learning. Internalizing practical concepts is much easier when you have seen high-quality visual examples. Our courses feature stunning animations—far beyond basic PowerPoint slides. 4. Innovative Interactive Exercises Our platform's innovative, interactive exercises help you consolidate your learning effectively. Experience the best of hands-on learning in this data science fundamentals course. 5. Comprehensive Downloadable Material Explore essential data science resources, including course notes, key term flashcards, infographics, diagrams, and practice exams—all available within the course for easy reference.

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Course Introduction

1.1 Course Introduction

3 min

Why are there so many business and data science buzzwords?

1.2 Why are there so many business and data science buzzwords?

5 min

Analysis vs Analytics

1.4 Analysis vs Analytics

4 min

Intro to Business Analytics, Data Analytics, and Data Science

1.6 Intro to Business Analytics, Data Analytics, and Data Science

8 min

Adding Business Intelligence (BI), Machine Learning (ML), and Artificial Intelligence (AI) to the picture

1.8 Adding Business Intelligence (BI), Machine Learning (ML), and Artificial Intelligence (AI) to the picture

10 min

An Overview of our Data Science Infographic

1.10 An Overview of our Data Science Infographic

4 min

Interactive Exercises

Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

true-false exercise
single-choice exercise
multiple-choice exercise
flashcards exercise
fill-blank-typing exercise
fill-blank-selection exercise
order exercise
categorize exercise

Curriculum

  • 1. The Different Data Science Fields
    6 Lessons 34 Min

    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.

    Course Introduction
    3 min
    Why are there so many business and data science buzzwords?
    5 min
    Analysis vs Analytics
    4 min
    Intro to Business Analytics, Data Analytics, and Data Science
    8 min
    Adding Business Intelligence (BI), Machine Learning (ML), and Artificial Intelligence (AI) to the picture
    10 min
    An Overview of our Data Science Infographic
    4 min
  • 2. The Relationship between Different Data Science Fields
    1 Lesson 7 Min

    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.

    When are Traditional data, Big Data, BI, Traditional Data Science and ML applied?
    7 min
  • 3. What is the Purpose of each Data Science field
    1 Lesson 4 Min

    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.

    Why do we Need each of these Disciplines?
    4 min
  • 4. Common Data Science Techniques
    11 Lessons 54 Min

    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
    8 min
    Traditional Data: Real-life Examples
    2 min
    Big Data: Techniques
    4 min
    Big Data: Real-life Examples
    2 min
    Business Intelligence (BI): Techniques
    7 min
    Business Intelligence (BI): Real-life Examples
    2 min
    Traditional Methods: Techniques
    9 min
    Traditional Methods: Real-life Examples
    3 min
    Machine Learning (ML): Techniques
    7 min
    Machine Learning (ML): Types of Machine Learning
    8 min
    Machine Learning (ML): Real-life Examples
    2 min
  • 5. Common Data Science Tools
    1 Lesson 6 Min

    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
    6 min
  • 6. Data Science Job Positions: What do they Involve and What to Look out for?
    1 Lesson 3 Min

    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?
    3 min
  • 7. Dispelling common Misconceptions
    1 Lesson 4 Min

    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
    4 min

Topics

Theorydata analysisProgrammingCareer development

Tools & Technologies

theory

Course Requirements

  • No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course.

Who Should Take This Course?

Level of difficulty: Beginner

  • Aspiring data analysts, data scientists, data engineers, machine learning engineers, and AI engineers
  • People who want to gain an overall understanding of the data science field and are interested to acquire solid data science fundamental knowledge
  • Students looking for the perfect data science fundamental course with plenty of real-world examples and easy-to-understand analogies

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Martin Ganchev

Martin Ganchev

Worked at

15 Courses

30123 Reviews

467215 Students

Martin began working with 365 in 2016 as the company’s second employee. Martin’s resilience, hard-working attitude, attention to detail, and excellent teaching style played an instrumental role in 365’s early days. He authored some of the firm’s most successful courses. And besides teaching, Martin dreams about becoming an actor. In September 2021, he enrolled in an acting school in Paris, France.

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What Our Learners Say

Alae El mezgueldi
Alae El mezgueldi
07.11.2024
good

365 Data Science Is Featured at

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