DataCamp Review: Perfect Solution for Busy Analysts and Aspiring Data Scientists

By Tanner Abraham •  Updated: 04/29/23 •  25 min read

The information hiding beneath the layers of DataCamp can be overwhelming for anyone with little experience on this topic. But basic details about the system are known to most people who want to chase a career in this field.

You have to set your expectations before considering moving forward on this journey.

Any system that promises a lot will have its fair share of positives and negatives. We will explore both sides of the aisle to help you create an educated vision on this topic.

Before diving into the topic, we will have to focus on the surface-level information DataCamp that most people know.

The view of using DataCamp to get to the millionaire club, while it sounds too good to be on any paper. No service in the world will act as a magic wand to solve most of the financial problems in your life.

Using DataCamp will not land you a six-figure gig in the most excellent area of your city. You will need more than just a DataCamp subscription to get a gig to land a six or 7-figure job.

In short, DataCamp will not elevate your professional life to new heights easily; you will have to put in a lot of work and time to gain skills and practice to master all the elements that come with the service.

It is better to start slowly, learn the basics, have hands-on experience, and practice learning.

Learning should be the primary focus here; you can’t put DataCamp as another addition to your fine resume or CV.

Table of Contents

What is DataCamp?

Now that you know how to go in the DataCamp, the helpful questions here become what is DataCamp, and how can you benefit from it? It is an online learning platform for data science.

It covers data science courses, exercises, career, and skill tracks. The course is perfect for newcomers and veterans.

 DataCamp is a familiar thing that blew into the market recently, and the entire system dates back to 2013.

Some reports claim the year was 2014, but 2013 was an accurate year for the DataCamp. It is a massive open online course focusing on multiple courses or individual courses with adoptable skill levels.

If you want to follow a career as a data scientist or data analyst, then you should choose the DataCamp as the best way to tackle the fundamentals of those lines of work.

In the current world, DataCamp courses are the best way to build new skills and refine the older ones to tackle any challenges that come with the profession.

The industry experts will help you handle big data and focus on specific skills to improve the overall value of the plan.

Who is it for?

Now that you know, DataCamp is perfect for people who want to learn about data science before stepping into the topic.

But why go through DataCamp?

DataCamp is created chiefly for beginners without experience or data science knowledge. The exercise performs a very hands-on approach, and the navigation here is clear and straightforward to understand.

The system for teaching is very linear, and it will move you from one topic to another. You will start from the bottom concepts and then go to the advanced sections.

Each section will have tons of exercise, practice, and real-world application. All of that will meet with excellent feedback.

When you look at the basics of data science, the knowledge and experience you gain might not be much, but you will need all of it to get to the learning content of future workspace.

Here, DataCamp course provides an excellent online platform for its series of interactive courses built to provide a proper layout for your data science journey.

DataCamp is also a solid alternative for people who want to spend less than $17000 for a data science beginner course.

The price here stays under the $300 radar for a year, which is a pretty solid deal for your data science travel.

Even if you are a complete beginner with no experience in any data science skills, the DataCamp course will slowly take you through all the significant aspects of the data scene with particle skills to build better data analytics.

You will also get to choose between different plans to meet your needs. We will discuss the DataCamp’s planning aspect later in the article.

In short, looking at all the perks behind DataCamp, it is a good value product for your deep learning and a solid welcoming experience to data science.

Why Choose DataCamp?

Many see the DataCamp as a crash course for data science. If you want to get into data science, DataCamp is the best way to introduce yourself to the world.

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There are complicated mechanics in data science that can be tough for anyone starting it out for the first time.

If they had experience in DataCamp, it would make things much easier and understandable for the new students.

So they can get to know the topic and its hidden mechanics better. It provides an initial experience for people who have yet to try this field ever in their life.

Sometimes people need more time to be ready for the system that lies beneath their favorite subject or career choices.

Instead of plugging a lot of money into the master’s program, getting into DC will help clarify things.

DataCamp is perfect if you:

Lastly, DataCamp is a perfect way to set up valuable skills for you to learn and master. It is better to show interest in a topic you never had the time to get into.

Still, it is another when you take your time learning the basic skills and other related initial work to comprehend the system for data science better.

It is a complicated subject, and many people who have yet to learn how to commence in their field will have difficulty grasping the concept of data science and all of its work.

DataCamp provides an affordable way for you to tackle most of the problems that arise with newcomers without any prior experience.

Above are listed all the reasons why DC is a preferred choice for people who are showing their interest in data science.

What does DataCamp cover?

DataCamp is a solid way to introduce yourself to the world of data science, but what does it cover to help you get better at future topics?

Because we know data science can be tough to crack, prior experience on specific topics certainly makes for a better experience.

Here is all the training provided by the DataCamp:

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How you will learn each of the topics mentioned above will be done practically and theoretically.

You can expect to learn many practical skills in programming, data cleaning, machine learning, probability and statistics, and data engineering.

How does it all work?

To start with DataCamp, you must stick to some basic work plan with other online teaching services.

First, you must sign in; for that to happen, you must make an account.

Free Plan or Premium Plan

Here comes the major hurdle, either you will select a free plan or head straight to premium.

At first, you may not use the system, so it is better if you take the free plan and learn to use the system better.

Only some of the framework of the system will be built to please your eye, so take a slow approach and find out where everything is and how you can navigate them.

Here you can spend time getting to know things better.

In the free version, you will access introductory courses and some first chapters to every introductory course available in the DataCamp.

So you are keeping everything if you take the side of the free course.

Now let’s focus on the premium model; here, you will have access to the course and a chance for clarifications.

Here you will have access to basically everything from the start. It is a better choice if you have spent your time on the free trial side so that you will be aware of the system and the gist of it.

The premium plan also gives you unlimited access to some of the valuable features of the online service.

It is highly suggested that you take an accessible approach to the DataCamp rather than going through the premium.

The basic plan will come with limitations compared to the premium plan. Different plans can impact the experience you want to gain from its service.

The mobile app is available for you to get easier access to your programming. The series of courses available for both sides of the plan will help you improve at programming.

Free trial is an affordable way to start your journey into the world with a limited hands-on experience in your specific field.

Deep Learning only comes from the premium plan and will make up for a good value in the future.

The Structure of the Course Platform

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Having a structure in anything speaks volumes about the whole concept. Having clear guidelines helps people know what they are dealing with in the system.

DataCamp and its inner system are a bit overwhelming for newcomers.

Let’s focus on what it does first; its role is to improve your data skills with the help of real-world projects, hand on exercise, training lessons, and an engaging workspace.

That will help you get involved in the DataCamp and its essential functions.

First, you have to choose a career then you will have access to the altar stages of the course to help you get prepared for the primary material.

The objective of the course is to focus on the relevant courses. For example, if you choose Python as a career track. Then you will have access to all its sub-courses that fall under the main course.

  1. Introduction to Python Programming Language
  2. An intermediate version of Python
  3. Python Data Science toolbox pt 1
  4. Python Data Science toolbox pt 2
  5. Pandas in Python
  6. Skill Sets in Python
  7. Data visualizations
  8.  Deep Learning in Python

That is all the basics of the one programming language, and each one will have its own set of relevant courses.

You can access them all by clicking on career tracks. Career tracks are extremely useful for people who are new to this world.

They are designed to follow a particular aspect of a career in data science. The career tracks are perfect for building your core skill or better over time.

Choosing career tracks will not settle you in a high position in any company; the core function of career tracks is to help you improve basic skills.

You will see different choices in a menu-style interface upon picking career tracks.

The UX design can quickly help anyone get into the option they want without making them go through any thick manual of instructions.

Options such as R Programmer, Data Scientists, Data Analyst, and Python Programmer will be available on the front.

Everything will be laid out in a neat, linear format for more straightforward navigation.

DataCamp is designed to work with your progress; as your skill grows, DataCamp will slowly ratchet the difficulty of meeting your ongoing skills.

If you like building your skills, DataCamp will entice you with its intricate difficulty spikes.

What’s next?

After you select your preferred programming language, the next thing you will see are the courses for your selected programming language.

If you choose an R programmer, you will see the ‘Introduction to Data Science in R Programmer’ and ‘Data Types for Data Science in Python’ sections in the menu.

Each course will have its fair share of details, time limits, and the author’s name attached to the section.

Each career track will have its mini-course with several chapters built into it.

The amount of information can be a bit overwhelming, and all of it is squeezed into a single chapter.

The XP system is built to captivate users for a long time. Each time the user finishes a course, they will be granted a few hundred experiences to build the bar on the top.

It will encourage people to take on new challenges that await in each chapter and master the basic layout of the programming language.

Who runs DataCamp?

Knowing who is behind the wheel is better than putting your trust in any system. Courses will have different authors, and their styles and approaches to the subject will differ.

While different is good, building a connection to the author will matter if you plan to explore the subject.

DataCamp was founded by people who are in deep with data science.

So you can expect to have access to high-quality instructors on the site.

The members here are data scientists with prior experience and knowledge in the field.

External academics and consultants will be present to help; sometimes, the co-founders will also step in.

In short, you are learning from the best in the business.

DataCamp has a variety of authors to help people learn their course and theoretical side of subjects.

You are allowed to get into all of them to see which one helps you understand the topic more easily.

Information is available for every course, and the author’s name will be on the list. If you fancy one particular type of author and their way of dealing with writing, you choose to learn from them.

It is all about getting comfortable with the course, and when you understand the author’s writing or descriptive pattern, you will engage more with their style.

How are the DataCamp Lessons?

Discussion topics are not easy to tackle and are very dense and wide-ranging. The lesson type and pattern will vary in different topics.

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The amount of learning content available for DataCamp can be overwhelming for anyone.

The course material will give you a slight idea of how to build the basics of data science. Here are the teaching styles you will encounter in case studies or practical exercises.

The members here are experienced in the game and have the knowledge to describe things more simply without complicating things for newcomers or people who want to hone their basic skills.

The training program and the experience points you will get from your learning path will help you build skill tracks on your DataCamp account.

Looking at all the perks, you will get from DataCamp makes it the right place to start your data science journey.

What is DataCamp Practice mode?

One of the biggest complaints about DataCamp was it is hand-holding in exercises.

People were fed up with the number of times DataCamp stepped in to fill the space in the problem.

The introduction of the practice mode has made things much better for people who want to delve deep into the systems.

You will unlock practice mode and reveal daily challenges when completing specific courses.

They will be a much better way to force yourself to improve on complicated aspects of the problems.

Most of the items are not visible at first, but when you dip your toe in practice mode, you will throw yourself into the wilderness as you will have to start from scratch to build experience to take you to a different level.

Being in a separate mode detached from the career track can be a hassle for people, but the entire system of a practice mode is worth the visit.

Students who have done their time in practice mode tend to retain knowledge at a higher rate. Extra practice does help the users to learn various aspects of the programming language faster.

It doesn’t matter if you are a newcomer and want to try your luck in the python career track or R courses; the industry veterans will teach you well enough for our land softly on the advanced courses.

DataCamp is a great platform that provides hands-on experience in the specific field of your choosing.

The members here are data engineers who will help you out with any problem you encounter here.

What are DataCamp Projects?

The point of using a DataCamp project is to help the student prepare for real-world experience. Learning skills to prepare you for the real-time project experience.

The theoretical aspect of any project says little about what goes on in the natural environment.

Real experience shapes any student to tackle the project adequately with perfect decision-making that will suit the needs of the modern workplace.

Even though you might not have a world for an office, you will have all the skills needed to function in a properly managed office climate.

The projects are better, give students a real-world experience, and provide an outdoor look into the world of data science.

How much does DataCamp cost?

DataCamp comes with 350 courses, and the cost will round up to $224 per year, which is pretty affordable compared to the advanced data science course, where the cost will mount up to $10000+.

DataCamp is always a great way to create interest in data science and all the other related fields.

There are other options to purchase; if you have a team or manage a business, choose a team purchasing option.

This will grant you a leaderboard to manage the data and everything related. The cost of a business plan will cost around $224 a year.

The cost may seem a lot, but entering a field as competitive as data science requires prior experience.

DataCamp skills can be applied in many ways, which is why getting a free plan and getting to know things is highly recommended.

The better you know some of the mechanics within the DataCamp, the easier time you will have when you move onto the advanced section.

Free trial

Since we discussed many free trials, what would you get in a free trial to encourage you to move onto the premium train?

The other side offers a lot of value for your investment, but if you are skeptical about the services, you should consider picking the free option.

First, you will have to sign up for the service, and then you need to move to pick between Free or Premium plans.

Choosing the free track will get you access to the main introductory course for each program they offer. More specifically, you will have access to the first chapters of 6 whole courses.

It is also a perfect way to decide whether the DataCamp is perfect for you or not. Instead of erasing it, take your chance with the system at first sight by using a free trial.

It will just cost you to input your email details.

Best DataCamp classes for newcomers and experienced

It is time to focus on the ranges the classes offer incoming students with the ambition of breaking the data science world.

The best course will come from the user as it requires the user’s learning experience and solid preference without influencing the other.

Here is the list of best DataCamp classes offered by the DataCamp.

Our DataCamp review needs to focus on some of the best courses you can use to earn your DataCamp certificate.

The course here will focus on mastering the fundamentals of Python as you will learn how to store the data and manipulate it later.

You can get the course started without prior experience beforehand. The course here will be led by Hilary Green-Lerman, a lead data scientist.

The purpose of Python is to course it or help you adapt to the syntax in a data science context. You will also delve into practical exercises and challenges with lessons on popular science models.

Data manipulation will also be taught by Maggie Matsui, who will teach you all about extracting, filtering, and transforming data frames to get close to data science concepts.

Once you have gone through introductory Python classes, data manipulation should be a challenge to overcome.

After data manipulation, you must get to the Analyzing police activity with pandas course.

This course will help you give experience in topics such as cleaning data, creating visuals, and manipulating data.

It is one of the popular programming language choices for many ambitious students. DataCamp co-founder Jonathan Cornelissen will teach the course here.

The course layout here is pretty simple, and you will be able to pick up a few new things to make your R language coding solid.

Analytics software is beating the heart of large-scale companies such as Amazon or Unilever.

If you want to combine data and business, then Tableau is just the software for you to get started in the online class.

The course will cover how to present, visualize and analyze the data using this tool. You will also develop skills using data, time fields, and analytics based on consumer performance.

The methods here will be much more focused on practical things.

SQL will be a great introduction to your online data science world.

Dr. Chester Ismay will lead the course here.

He is qualified to tell you everything you should know about SQL. he will break down all the challenges and problems that come with SQL and how you can master them in time.

Here you will get hands-on exercise on the data scientist role and the other discipline topics.

If you are interested in chasing a career in this world, it is worth a try for the experience alone.

You will get a view of the world of data science. Curriculum manager Sara Billen will lead the course here.

This course will also focus on the non-technical & coding side of the tech world.

Here you will encounter big questions in the technical world and how you can conquer them with decision-making.

One of the essential tools of any company is Microsoft Excel.

Jen Bricker is the head of the instructor success at DataCamp, and they will teach you about hotkey, conversion, cleaning data types, and building conditional aggregations.

The course in excel is necessary for anyone who wants to pursue a career in the technological industry.

The spreadsheet course will cover everyday analysis downs through spreadsheet software.

The overall course will be led by Vincent Vankrunkelsven, as he will teach you the use of google Sheets to increase your overall productivity. This is a perfect way to boost the value of your CV.

Positives/ Negatives of DataCamp

To get a better perspective on any object or service, you need to look through both sides of the lens.

DataCamp does have its share of benefits that will uplift people who want to follow a substantial career in data science.

But there are cons that you should be aware of before signing up for the DataCamp. Here we will look at both positive and negative aspects of DataCamp and how they impact the user.


This section will cover all the positives about DataCamp and how they succeed in the competitive market.

If you want to start your journey in data science, there is no better place than starting in DataCamp.

You will have to grind through DataCamp coursework, including Python, R, and SQL, to stay ahead of the curve.

All the basic skills will help you adapt to the advanced course section much better.

DataCamp always puts you above everyone when planning to get a promotion or land a higher position in the job.

The experience always speaks volumes, and DataCamp sure does help you garner essential experience for your skillset.

You will access various tools and information from books, courses, online communities, training programs, and more.

It is about building confidence around the skills you are building from the ground up. Starting in a programming language can be challenging without advice or guidance.

You will feel most if you take the advanced section of the course without any prior experience.

Many people sign up to DataCamp hoping to learn the basics and cover all the necessary tools to build the python foundation on their skillset.

If you have never googled data science courses, you might not know how much these courses can go for.

To give you an average statistics on the cost, any average data science or affordable data science course can easily hit up to $15,000.

The cheapest one available will cost you around $16000 to $17000.

Here DataCamp provides a fantastic service. By spending only a few hundred bucks a year, you will have access to all the data skills and practice them on real-world projects.

The service also keeps you in touch with daily practice challenges to hone your skills.

If You already have a career and want to add more to your skillset, then DataCamp provides an easy and affordable way to get them done.

Newcomers will always need help managing everything about the system.

Data science is a competitive subject with many spinning plates around every corner.

Her prior knowledge or experience in real-world projects sure does help the newcomers to get in grips with the entire service.

The hand-holding approach of DataCamp will help you take step by step process to data science. They will cover topics of theory, skills, and careers.

A big emphasis will be placed on real-world training to help you learn all the tools you need to develop to tackle the real-world project.

That means you will not have to spend precious time on a project guessing anything.

Real-world scenes can be complex, and training will be a much better way to soothe the pain of the project.

It can get complicated to deal with a real-world project for the first time in your life, as you will have to deal with a lot of stress.

DataCamp provides real-world training, feedback, instruction, and practice to help you get better at your job.

People who took the DataCamp course have nice things to say about what they learned from the services.


Now it is time to focus on the negatives of DataCamp.

Some might see DataCamp as a magic lamp that will fulfill the wish of anyone who wants to land a job immediately in a company.

DataCamp has always been an essential aspect of data science, nothing more or nothing less.

Only enter a DataCamp thinking it will give you direct access to a regular 6 figure job in a high-end market.

DataCamp is a way to start your journey into data science, so you will use the things you learned in the DataCamp to better your performance in data science.

While the DataCamp does offer a lot of real-world project training, much of the coverage will get done under the umbrella of theoretical courses.

These courses are good but short and need more in-depth research to improve your machine learning, deep learning, computer vision, or any other related work.

It is not a problem that most DataCamp services share, but the problem Is prevalent nowadays.

Recent changes have shown some institutions adapting to the new form of teaching without relying on text.

Even though video lectures have become a thing, the length of the videos is relatively short.

It leaves much of it to the imagination. So you will need to dig deep into the text for the information instead of relying on a video format education.


These are the pros/cons of DataCamp; much of it comes down to the student or employee and their study vision.

DataCamp boils down to a starter pack for data science and nothing else. It has its fair share of problems, but the advantages outweigh the cons by a considerable amount.

Most problems can be eliminated with better practice, which we will see in the future, as the institutions will have better access to future or modern compatibility.

Learning new skills never hurts; with DataCamp courses, you can take your courses from massive open online courses available for you to choose from.

The best course will be dictated by you, as DataCamp faculty members are all industry experts who will provide you with a great way to learn specific and practical skills at your own pace.

The challenges you will overcome in this field will be a statement of accomplishment for your CV. The learning experience is about developing your data science skill for future use.

Tanner Abraham

Data Scientist and Software Engineer with a focus on experimental projects in new budding technologies that incorporate machine learning and quantum computing into web applications.