12.09.2024
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Introduction to Data and Data Science popular
with
Martin Ganchev
and
Iliya Valchanov
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
182298 students
$99.00
Lifetime access
14-Day Money-Back Guarantee
What you get:
- 2 hours of content
- 6 Downloadable resources
- Interactive exercises
- 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
$99.00
Lifetime access
14-Day Money-Back Guarantee
What you get:
- 2 hours of content
- 6 Downloadable resources
- Interactive exercises
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
$99.00
Lifetime access
14-Day Money-Back Guarantee
What you get:
- 2 hours of content
- 6 Downloadable resources
- Interactive exercises
- 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 today, 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. Today, everyone can benefit from these skills to boost their career. We live in the age of AI, but few people realize that data science fundamentals are the foundation upon which AI is built. The course is suitable for aspiring data analysts and data scientists, but it is also highly recommended for business executives and professionals looking to enhance their understanding of data-driven decision making. Join us on a journey that will introduce you to the different data science domains and will explain the relationship between each of them. This will allow you to develop a holistic understanding of the field and see the big picture. Very soon you will grasp the business and analytical reasons why businesses perform certain types of analysis and why they need data science. Moreover, you will have the opportunity to get a glimpse of what techniques data analysts and data scientists use to analyse data and which tools help them do that. If you are interested in a career in the data science field, the course can be immensely helpful because it introduces the different data science job positions with clarity and comprehensive detail. By completing the course, you will know who does what in data science, and which role aligns with your dream job aspirations, providing you with a clear path to achieving your career goals. How is this data science fundamentals course different than the rest? There are several differentiating factors. 1. Content quality Our team has spent thousands of hours to create the best learning experience for you. We create content full-time and invest significant time to digest complex topics easily and design a pleasant learning journey you will enjoy 2. The most popular Intro to data science course online This course has proven itself as one of the most popular data science fundamentals courses online. For example, one of the flagship resources of the course – the 365 Data Science Infographic has been shared over a thousand times on LinkedIn. More than a million students around the world have chosen this course and rated it as excellent 3. Animations One of the best ways to understand complex topics such as data science, machine learning, and deep learning is by learning visually. It is much easier to internalize practical concepts when you have seen high quality visual examples. Our courses are beautifully animated and are not simply a collection of PowerPoint slides 4. Interactive exercises The interactive exercises we have built into our platform are truly innovative and will help you solidify everything you have learned in the lessons. Learning by doing is at its finest in this data science fundamentals course 5. Downloadable materials Access valuable data science fundamentals resources you can use as a reference. Course notes, flashcards with key terms, infographics, diagrams, practice and course exams – everything is included inside the course
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1.1 Course Introduction
3 min
1.2 Why are there so many business and data science buzzwords?
5 min
1.4 Analysis vs Analytics
4 min
1.6 Intro to Business Analytics, Data Analytics, and Data Science
8 min
1.8 Adding Business Intelligence (BI), Machine Learning (ML), and Artificial Intelligence (AI) to the picture
10 min
1.10 An Overview of our Data Science Infographic
4 min
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
- 1. The Different Data Science Fields6 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 Introduction3 minWhy are there so many business and data science buzzwords?5 minAnalysis vs Analytics4 minIntro to Business Analytics, Data Analytics, and Data Science8 minAdding Business Intelligence (BI), Machine Learning (ML), and Artificial Intelligence (AI) to the picture10 minAn Overview of our Data Science Infographic4 min - 2. The Relationship between Different Data Science Fields1 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 field1 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 Techniques11 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: Techniques8 minTraditional Data: Real-life Examples2 minBig Data: Techniques4 minBig Data: Real-life Examples2 minBusiness Intelligence (BI): Techniques7 minBusiness Intelligence (BI): Real-life Examples2 minTraditional Methods: Techniques9 minTraditional Methods: Real-life Examples3 minMachine Learning (ML): Techniques7 minMachine Learning (ML): Types of Machine Learning8 minMachine Learning (ML): Real-life Examples2 min - 5. Common Data Science Tools1 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 Need6 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 Misconceptions1 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 Misconceptions4 min
Topics
Theorydata analysisProgrammingCareer development
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.
Meet Your Instructor
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.
What Our Learners Say
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