Is it worth paying a data camp for R.

Datacamp vs Udacity 2021: which is the best and why? (Reason No. 1)

Datacamp

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Udacity

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Adsprices25 / mo399
Best for

Best for beginners and advanced

Best for advanced users

properties
  • Best pricing options for students
  • DataCamp works on a subscription rather than an individual fixed.
  • The DataCamp instructors come from different organizations
  • Several data science courses are offered.
  • Udacity offers expanded nanotrees in collaboration
  • Udacity usually has better evaluation results than DataCamp
Advantages / advantages
  • Easy to use
  • The price corresponds to the quality
  • Very transparent with their pricing
  • DataCamp with 25 available languages
  • Simple design (no unnecessary information)
  • Variety of featured courses
  • High quality video courses (including the free ones)
  • More than 30 languages ​​available in Udacity
disadvantage
  • Free users receive relatively few courses
  • Customer support is a little slow
  • Sometimes a big jump in price
  • They charge higher prices for different courses
Easy handling

The courses are offered in slides and video material. Pre-order subscription, bundle subscription, manual (monthly) subscription, limited-term subscription

Video footage is good and easy to consume, Free Subscription, Standard Subscription, Premium Subscription, Professional Subscription, Enterprise Subscription

Inexpensive

No refund policy in Datacamp

The refund period is 2-7 days

Customer service

They provide great support to their customers, but sometimes they take longer to respond.

They have great customer support and usually students get a response within 24 to 48 hours.

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Data science is one of the hottest topics in the world today, with a great need for qualified data science professionals. The employment opportunities in this area are increasing rapidly. After learning about data science and what it means for the future, take some time to learn data science through online platforms.

 

Conclusion in advance:

The fact that MOOCs (Massive Open Online Courses) should be chosen is that you can learn flexibly anytime, anywhere. Even though you've chosen two options across all online platforms, you can't catch up between Datacamp and Udacity. Do you?

Here I should help you to choose between Datacamp Vs Udacity. Since it was very confusing even for me to choose between these two platforms to learn Python as I had no knowledge of coding, I tried to use both platforms.

Datacamp is well suited for Beginners and advanced To be honest, it helps to start your data science journey and is good for learning basic concepts.

If you are looking for a course like this, Datacamp is the platform to start with.

On the other hand Udacity is well designed for advanced learners if you are familiar with the concepts of data science (including Python and R).

That is why I am here to help give you in-depth knowledge of Datacamp and Udacity and which one to choose to learn Data Science. Before we move on to the detailed information on both platforms, I congratulate you on choosing Data Science as your career option.

In this article I did a detailed comparison between Datacamp and Udacity. I am sure that by the end of this article, you will be able to decide which one to choose for learning data science.

Datacamp Vs Udacity 2021: Which Is The Best? (Reason No. 1)

Datacamp Vs Udacity - An Overview

Datacamp:

Datacamp is an interactive online learning platform for data science and analytics. It offers tutorials and courses in data science that allow students to master data science at their own pace in the comfort zone of their own browser. Datacamp has some free courses for beginners on its website.

Datacamp also offers annual and monthly subscriptions to access all of the premium courses available on its website. Learners can pay $ 25 per month or $ 250 per year to get access to all premium courses. However, the first chapter of these courses is free to give you the essence of the course before paying.

Since tutorials are not enough to fully understand a topic, Datacamp provides students with coding challenges based on small real world data science problems that will help them learn data science in depth with hands-on approach and theoretical knowledge.

Datacamp focuses on the R technology used for big data, data visualization, and programming with R. (R is a powerful language widely used for data analysis and statistical computation.) The courses available on Datacamp are beginners and you can spend most of your time looking at coding as tutorials.

These courses will help you brush up on the concepts whenever you need to revise something that you have forgotten. With Datacamp you can study anytime, anywhere and are very flexible so students can study these courses at their own pace. Upon completion of the course, certificates will be issued that allow students to upload these certificates to professional networking sites such as LinkedIn.

Udacity:

Udacity is an online platform that offers Massive Open Online Courses (MOOCs). The courses offered on Udacity are very informative and interactive. Each course is divided into levels from beginner to advanced. Based on your knowledge of the course, you can choose the level.

The courses available on Udacity are designed to meet industry standards developed in collaboration with software such as Salesforce, Google, Cloudera Hack Reactor (San Francisco-based Coding Bootcamp software development training program), Autodesk, Facebook, and MongoDB, etc.

Therefore, you can be sure that these courses will provide you with the latest technological information. The courses offered on Udacity are taught by professionals who work with these companies and who have a lot of practical experience in the field of computer science and programming. That is why learning from such great professionals can be very valuable.

Udacity offers you free courses through which you can conveniently study anytime, anywhere. However, in order to receive a certificate, you must register for one of the paid Nanodegree programs. Some courses available on Udacity are billed monthly, which means the fee to be paid for the course depends on the time it takes to complete the course.

Some courses have a one-time payment system that requires you to pay the full amount at the start of the course. The reason for these nano degrees is to provide students with basic programming skills that will help them get started as a data analyst.

The main disadvantage of these nanodegree programs is that they are very expensive. The courses available are sometimes only suitable for professionals who understand the content of the course. The courses on Udacity are also very limited.

 

Datacamp vs Udacity story

Datacamp:

Datacamp It was launched in 2011 and is now one of the leading platforms with more than 4 million users. The courses that Datacamp offers fall under the Data Science and R Program categories. Your study model is aimed at students who have no previous experience with data science. Datacamp offers 325 courses on its website on a variety of subjects including visualization, data engineering, probability and statistics, etc. Datacamp offers an annual subscription that allows you to take as many courses as you want.

Udacity:

Udacity launched in 2011 is also a leading platform with more than 10 million users worldwide. The courses offered by Udacity fall under the category of computer science and programming. Udacity offers programs such as Nanodegree programs that work with various organizations and universities. By completing the Nanodegree program, you will get the certificate which will allow you to upload it to professional websites like LinkedIn.

Datacamp Vs Udacity- Price Review

Course subscription costs play an important role in choosing between Datacamp and Udacity. Both offer free courses, but their paid courses are more extensive. The courses, which you can access for free, are only intended to give you an overview of this course before paying.

Datacamp:

Datacamp offers both monthly and yearly subscriptions with different services available depending on the type of plan. Datacamp has 3 subscriptions: Basic, Premium and Free.

The free plan gives you the chance to access the first grade of each topic for free so you can have a clear idea of ​​whether or not you can apply for the course.

The Basic plan will cost you $ 29 per month. This includes:

  • All FREE content plus:
  • 333 courses
  • 14 career routes
  • 43 skill tracks
  • Unlimited skill ratings
  • Community chat

To dig deep into the topic, one must opt ​​for an annual subscription that costs $ 300 and can save up to $ 48.

The Premium plan If you take out an annual subscription, it will cost you approximately $ 33.25 per month. This includes:

  • All BASIC content plus:
  • 82 projects
  • Tableau and Oracle content
  • DataCamp live sessions
  • Priority support

Udacity:

Blur, on the other hand, will charge you $ 399 for completing the Nanodegree program. Also, there is a fixed cost for each nanodegree that you have to pay to complete it. Therefore it is difficult to complete several such nanodegree.

When you pay such a large subscription amount, you will only get access to the Nanodegree course for 3-4 months. You will have to pay extra if the Nanodegree program is not completed within these 3-4 months.

For this reason, I recommend Datacamp to students over Udacity when it comes to costs.

Datacamp Vs Udacity Curriculum

Datacamp:

Datacamp seems to be more interesting for beginners. It offers 325 courses based on data science and R programming. Each course lasts 4 hours. To help you choose the course, Datacamp has introduced Skill Track and Career Track. Career routes are intended for those who want to start data science as their new career. You can choose any programming language you want to learn.

Udacity:

Talking about fuzziness, it offers Nanodegree programs that consist of 5-6 courses that you must complete within 3-4 months. Udacity deals with computer science and programming and offers numerous courses on this topic on its website. Courses on topics such as programming, AI, cloud computing, data science, autonomous systems and economics are offered.

A total of 9 nanodegrees are available for data science on Udacity. Each nanodegree consists of courses along with the project or quiz available at the end of the course. The Capstone Project is the project available after completing any Nanodegree program that tests the entire curriculum that learners have studied.

Datacamp Vs Udacity-Courses available

Datacamp:

Datacamp offers 325 courses as well as 43 skill tracks and 13 career courses. Here are some examples of courses available on Datacamp

  1. Introduction to R.
  2. Intermediate level R.
  3. Introduction to machine learning
  4. Data visualization with ggplot2
  5. Text mining with word bag in R.
  6. Introduction to Python
  7. Introduction to SQL
  8. Python Data Science Toolbox
  9. Introduction to network analysis in Python

Here are some examples of skill tracks:

  1. Image processing
  2. Import and clean data
  3. Shiny bases
  4. Applied finance

Here are some examples of career paths:

  1. Data analyst with R.
  2. Data analyst with Python
  3. Python programmer
  4. statistician
  5. Machine Learning Scientists

Udacity:

Udacity offers 9 nanodegrees in the field of data science. you are

  1. Data streaming nanodegree
  2. Data analyst Nanodegree
  3. Data Engineer Nanodegree
  4. Programming for data science with Python
  5. Data Scientist Nanodegree
  6. Data structures and algorithms Nanodegree
  7. Predictive Analytics for Business Nanodegree
  8. Programming for data science with R.
  9. Business Analytics Nanodegree

Datacamp Vs Udacity-Tutors / instructors

Datacamp:

The instructors available on Datacamp come from various organizations and universities.

Udacity: