Most Wanted Data Science Courses of 2024

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30 Jan 2024 10 min read

The rise of big data in business has opened up a high demand for data scientists, making it one of the most wanted roles in the world. According to US News, it ranks #6 out of the 100 best jobs, with a 2% unemployment rate and a median salary of $98,230. It’s no surprise then that more and more people are studying the fundamentals in order to break into the field. But with an overwhelming amount of online data science courses, how do you know which one to pick?

In this article, we’ll talk about choosing the right training that suits your individual needs, then list the top 10 titles in the 365 Data Science program based on our students’ experience. To get an even clearer idea, you’ll hear from some of the students and why they recommend the courses on our platform.

Table of Contents

How to Pick the Right Data Science Course?

When embarking on any kind of journey, you first need to assess the most suitable roadmap – this certainly applies for learning data science as well. The courses you take need to meet all your individual requirements, some of which may include:

  • Subject
  • Location
  • Costs
  • Skill level
  • Curriculum
  • Certification

These are just some of the factors to take into account when making your decision – most of them will vary based on your needs and preferences. What is important is to not rush your decision. Think of it as your first data science endeavor: performing a preliminary analysis based on your desired learning outcomes.

What Are the Top 10 Most Wanted Data Science Courses?

While the decision can be time-consuming, research shouldn’t be difficult. To make it a more straightforward process, allow me to present our students’ top picks for data science training.

In this extensive list, you’ll find an introduction to data science fundamentals for beginners, as well as some more complex subjects that will boost your skill levels and make sure you’re job ready.

1. Introduction to Data and Data Science

Entering the field with no prior knowledge can be daunting. In truth, data science is an all-encompassing domain that holds together several fields which a complete beginner might not tell apart. With over a 1.5 million minutes watched, Introduction to Data and Data Science is a gateway into the world of data. It breaks down the various aspects, terminology, and techniques in an easy-to-digest form.

What Will You Learn?

By taking this online course, you’ll be equipped with the single most fundamental knowledge you need to get started on your data science journey. Some learning outcomes you should expect are to:

  • Identify the separate data science-related fields
  • Understand the relationship between these fields
  • Grasp the data science terminology
  • Recognize the most common techniques and tools

Introduction to Data and Data Science also goes through the 365 Data Science All in One infographic, explaining each section in detail to give you a full overview of the field.

What Do Our Students Say?

Absolutely excellent. Very explanatory and user friendly. No unnecessary technical terms and when used, properly broken down.

2. Introduction to Excel

There is hardly anyone that hasn’t come across Microsoft Excel at their workplace. But did you also know it is a highly productive software for data analysis and even some machine learning tasks? Introduction to Excel will fill the gaps in your basic knowledge and expand your understanding of the spreadsheet management tool for data science.

What Will You Learn?

Often, information will come to you as a spreadsheet. In order to make sense of the data in it, you need Excel skills under your belt. Taking the course will allow you to:

  • Create professional spreadsheets up to industry standards
  • Fully utilize Excel’s functions
  • Insert charts in your Excel tables
  • Build a P&L statement from scratch

Despite its title, the Introduction to Excel online course isn’t just for beginners – I guarantee that you will learn heaps of useful tips and tricks (like keyboard shortcuts) that you didn’t even know existed.

What Do Our Students Say?

I'm finding it really easy to understand the course content. I love how practical the course is, attaching the course resources makes the learner follow through and try workout as the instructor gives guidance.

3. SQL

Whether the end goal is to become a data analyst or data manager, your employers will expect you to work with large datasets on a daily basis. To extract any kind of information from them, you need to know how to tell your PC to retrieve it – using the structured query language. The comprehensive SQL course teaches you how to run queries and handle relational databases.

What Will You Learn?

Learning SQL is an essential skill for data science as it allows you to load and manipulate your data effectively. This course is perfect for beginners who will gain the ability to:

  • Understand SQL theory and database management terminology
  • Work with structured data
  • Apply SQL best practices
  • Navigate the MySQL database management system

Make sure to study extensively as SQL very often is part of data science interviews!

What Do Our Students Say?

The explanation of concepts is very clear and straight to the point as said in the introduction. I am really enjoying this course so far.

4. Statistics

Data science lays on the foundations of statistical methods. The reason for that is that a lot of information data professionals will work with is numerical, therefore it requires quantitative analysis. 365 Data Science’s Statistics course is one of the best online resources that will equip you with the knowledge on what is known as the “pillar of data science.”

What Will You Learn?

This introductory course on statistics starts from the very basics in order to give you a full rundown. As you move through the lessons, we introduce more complex methods like hypothesis testing. As a result, you will:

  • Distinguish between the types of data and levels of management
  • Know what a standard normal distribution is
  • Calculate confidence intervals
  • Understand descriptive and inferential statistic fundamentals

Building statistical thinking is an essential building block towards a data scientist mindset. If you don’t have any experience, taking an online course on statistics is the way to go.

What Do Our Students Say?

Very easy to understand. I have taken stats courses before at University and I remember them being difficult and not engaging. Somehow, this course makes the subject feel so much easier to work with.

5. Python Programmer Bootcamp

According to the TIOBE Index, Python is the #1 programming language in January 2024. Data scientists across the board incorporate it into their workflow due to the vast ecosystem of Python libraries and functionalities. But where do you start learning to code in Python? Created in the popular training format, the Python Programmer Bootcamp, with the acclaimed instructor and content creator Giles McKullen-Klein, elevates your skills to the next level.

What Will You Learn?

The course is a complete journey through Python’s functionalities: from the basics to the advanced techniques. It truly goes into the nitty gritty to empower your coding abilities. In the end, you will:

  • Enhance your computational problem-solving
  • Implement object-oriented programming (OOP)
  • Work with Python libraries and IDEs like matplotlib and Jupyter
  • Solve the Sierpinski Triangle and the Towers of Hanoi

Warning: this Python course will challenge you. But as the old saying goes – no pain, no gain!

What Do Our Students Say?

Great Python course. It was hard, but the instructor is a good communicator and he clearly explains the fundamental concepts and principles. I strongly recommend this course for anyone who wants to start their career in Python or just want to learn Python programming.

6. Data Strategy

Data has become one of the most important business assets of our time. For companies to make informed decisions, offer better products and expand their reach, they need to have a well-defined framework in place. In his course on Data Strategy, international bestselling author and strategic advisor Bernard Marr emphasizes why data is important and how a business or an individual can leverage it to develop a strategy.

What Will You Learn?

With this online course, you will gain a unique perspective on data in a business sense. Bernard gives you insights on how to:

  • Improve business processes and gain new revenue streams
  • Build a data-driven strategy
  • Understand customers and markets
  • Develop an organization’s data competency

Drawing on his personal expertise, you will learn from a renowned data practitioner who has worked with companies like Amazon, Google, NATO, and the UN.

What Do Our Students Say?

I love how it puts everything into perspective and the enthusiasm that goes into this. I was just thinking that a lot of it is spoken from a managerial perspective, though I believe that is also a good mentality to have to become leaders in this field. Thank you for the comprehensive and informative content!

7. Power BI

Creating dashboards is an essential skill if you’re looking to become a business intelligence analyst or Power BI developer – or a multifaceted data scientist. Тhe 365 Power BI training course is the perfect one-stop shop to achieve those goals! You’ll not only learn how to create visualizations but also familiarize yourself with data modeling and data transformations.

What Will You Learn?

Taking this course will help you master your Microsoft Power BI capabilities through practical examples and projects. You’ll learn invaluable technical and transferrable skills to take into your future career in the field, including (but not limited to):

  • Navigate the Power BI functions
  • Write DAX code
  • Build a data model
  • Connect to other data sources

The final project that will truly test your abilities asks you to create an online Power BI dashboard for a sales team from scratch.

What Do Our Students Say?

This course was very insightful for anyone with interest of learning how to structure and visualize data using Power BI technology. Great instructor giving practical task concepts for real-world challenges.

8. Data Literacy

By definition, data literacy means that you’re able to articulate and solve a problem with data. In other words, you have a good understanding of how to analyze and interpret information in order to make better decisions. Learning how to be data literate is a crucial skill in today’s insight-driven world. Olivier Maugain delivers a fundamental training with his Data Literacy course that empowers your professional development for data science and business.

What Will You Learn?

In this course, you’ll learn the importance of data literacy – why we need it and what its benefits are. Essentially, understanding the language of data allows you to use it to fuel your decision-making with valuable, informed insights. The Data Literacy syllabus includes training on how to:

  • Understand different data sources
  • Interpret results from data analysis to extract insights
  • Assessing the quality of the data at hand
  • Make data-driven business decisions

What Do Our Students Say?

It is a very good match for me. This gave the basic understanding between the actual data and gut feeling. How the gut feeling may lead to the wrong decision, and how a data-driven decision is the good way for success.

9. Machine Learning with Python

Machine learning is one of the more advanced topics you’ll see in any data science curriculum. However, if you’re truly set on a career in the field, you’ll need a solid understanding of how ML works. Machine Learning with Python focuses on developing your statistical thinking further by introducing techniques to build a predictive ML model, all while exercising your Python programming.

What Will You Learn?

The Machine Learning with Python course looks at the concept of machine learning through a Pythonic lens. It takes advantage of the programming language’s functionalities to put complex analysis theory like regression, clustering, and decision theory into practice. In the end, you’ll have learned how to:

  • Understand the fundamentals of predictive modeling
  • Put statistical theory into practice for ML model building
  • Perform linear regression analysis with Python’s library sklearn
  • Implement clustering techniques like K-means and heatmaps

Be mindful, however, that this course requires some coding knowledge in order to successfully complete the machine learning tasks.

What Do Our Students Say?

The teacher is awesome! The best in the platform in my opinion. And the practical examples are very well designed and explained.

10. The Complete Data Visualization Course with Python, R, Tableau, and Excel

Visualizations help us understand data – they let us see relationships and trends which we wouldn’t be able to recognize if we looked at the numbers only. Making effective visuals is a necessity if your goal is to build a career in a data science-related field. The Complete Data Visualization Course is the perfect online resource as we’ve compiled an extensive list of visualization types and how to create them in different data viz technologies: Python, R, Tableau, and Excel.

What Will You Learn?

In this course, we walk you through the most popular visualization types like bar, line, and pie charts, as well as histograms and scatter plots. You’ll see how to create them in different software and even have a go at them yourself with the practical exercises included in the training. As a result, you’ll be certified to:

  • Choose the best visualization for the data
  • Create and combine different chart types into dashboards
  • Style data visualizations in a professional manner
  • Master data viz in Python, R, Tableau, and Excel

With these versatile visualization skills in your arsenal, you’ll be an indispensable part of any team!

What Do Our Students Say?

Course is very beautiful, interactive and worth learning. It covers lots of basic insights which is very useful, helped me a lot for a better understanding of charts and how they need to be displayed.


Why Take a Data Science Course?
You should take a data science course if you’re passionate about data or interested in a career in the field, but you have no prior experience. In other words, you need to learn the fundamentals before you can apply them in practice. Data science courses are a great way to enrich your theoretical knowledge and gain expertise with practical projects. And, of course, you can back up your knowledge by obtaining a certificate for your resume. Chances are, however, that you will need to complete more than one course before you can start applying for jobs. Data science doesn’t hold just one single practice – it’s an all-encompassing domain. In order to become a full-fledged data scientist, you’ll need to take courses on statistics, programming, machine learning, data visualization, and others. It’s best to look at training programs that have a set career track – that way, you get a structured data science curriculum already mapped out, so you don’t have to spend hours thinking what else you need.
Who Is Eligible for a Data Science Course?
Everyone is eligible for a data science course, especially online. There are no restrictions as you’ll be learning on your own time, therefore, you’re free to pick those trainings that best suit your skill level. Moreover, introductory classes will not require previous experience as they will teach you the subject in detail before moving on to more complex matter. Online data science courses are a great first step for breaking into the field without a data science or even a technical background. Plenty of successful data scientists today have made the jump from a career entirely unrelated to data simply by starting a learning journey. And that’s another bonus for online data science courses – unlike traditional degrees, where you may need some sort of related education to get in, signing up for an online educational platform doesn’t come with such strings. In this way, you also set the timeframe yourself, depending on how much effort and time you can invest.
What Should I Learn First in Data Science?
First, you should learn the absolute fundamentals in data science. If you’re just stepping in, it might be a good idea to take an introductory online course that describes the terminology and methodology, and how concepts like machine learning, business intelligence, and data analytics all come together to form the data science ecosystem. After that, feel free to proceed with more in-depth trainings into said fundamentals. For example, taking a course on statistics to get an idea about the different types of data, as well as understand confidence intervals, hypothesis testing, and distribution theory. Programming is also an essential data science skill, so make sure you learn at least one language – Python is always a good choice. Knowing how to write code will allow you to perform complex analyses and build ML models and algorithms once you reach the machine learning stage. SQL is another popular choice as the query language allows you to manage data and easily extract the needed information from large databases.

Why Choose the 365 Data Science Program?

The 365 Data Science program is a comprehensive curriculum that trains you to become a certified data practitioner. It offers self-led courses by top experts in the field, as well as a myriad of practical exercises. Starting from the very basics like statistics and probability, you will learn by doing and soon advance to complex topics such as machine learning and neural networks – all under the guidance and support from our instructors, which you can communicate with in the Q&A hub.

There are also dedicated career tracks that map out your learning journey depending on your desired job outcome – whether that is a data analyst, business analyst, or data scientist. At the end of each track, you will sit a final exam that challenges you on all topics you’ve learned. By completing it successfully, you’ll receive a Career Track Certificate that shows future employers you’re an aspiring data scientist who has what it takes.

Our aim at 365 Data Science is to democratize data science education. We’re constantly innovating our approach to bring you the best data science education at an affordable price. From our specialized courses, practical exercises, and an array of free learning resources to career guidance, resume building, and professional growth support, our platform is an all-in-one source that will get you from beginner to job-ready expert.