Learning various online courses becomes extremely important if you wish to make education accessible for yourself and learn real-world skills. It will give you flexibility and help you meet interesting people!
INTRODUCTION:
DataCamp is an interactive online learning platform that provides an excellent learning experience and flexible training for all the skills needed in Data Science like Data Manipulation, Data Visualization, Machine Learning, Python, R, and more. With unlimited access to DataCamp, about 7 million learners in over 180 countries have benefited from more than 350+ courses, skill assessments, and certifications. You have the option of a free trial for the first chapter of every course. You can prefer the personal or business plan with a monthly or annual subscription as per your convenience.
If you are searching for online courses to help make data-driven decisions, I recommend you go for DataCamp!
THESE ARE THE FEATURES OF DATACAMP:
True Interactive learning: DataCamp offers short video tutorials and hands-on coding exercises. Learners are rewarded with XP every time they make progress.
Real-World projects: You can learn to code independently and build your data science portfolio to solve a broad range of real-world problems.
Collaborative Workspace: With no additional installation required, start analysis in your browser and run the code in an environment you are comfortable with. You can publish your workspace and add it to your DataCamp profile.
Skill Assessment: DataCamp Signal makes it easy to learn a new skill. By assessing our skills before learning, Signal saves us time by making us focus on the skills we require the most. Assessment will give recommendations to grow our particular skills. Learn from your mistakes and improve upon them.
DataCamp Mobile: You can grow your data skills anywhere and move your steps forward towards data fluency. Preferred by learners at companies - Google, eBay, and Uber.
Certification: DataCamp does not offer Accredited Certificate but provides Statements of Accomplishments after completion of the course.
COURSES OFFERED:
DataCamp provides various courses in over ten different technologies, namely:
Technology:
SQL
Python
R
Shell
Spreadsheets
Excel
Git
Theory
Scala
Power BI
Tableau
Topic:
Programming
Data Engineering
Data Visualization
Data Manipulation
Management
Applied Finance
Machine Learning
Reporting
Case Studies
Importing and Cleaning Data
Probability and Statistics
Other
HOW TO SIGN-UP DATACAMP:
1. Open Datacamp.com.
2. Enter your Email Address for login.
3. Create a strong password.
4. Create a free account.
5. You can also choose social sign-up.
6. Use Google, Facebook, or LinkedIn to sign up and create a free account.
DATACAMP PRICING:
DataCamp provides a one-month free trial for all courses. You can access unlimited skill assessment with seven projects and three sets of practical challenges. I believe it is definitely worth it. Apart from this, DataCamp offers two personal and two business plans for a subscription.
PRICING PLAN
Looking at the above image, choose a subscription plan as per your choice and convenience.
If you are confused if DataCamp is worth it or not, let’s take a look at its Pros and Cons :
PROS :
EASE OF USE:
DataCamp is extremely easy to use. You need to open your browser and login into DataCamp’s website.
AFFORDABLE PRICING:
Besides being easy to understand and use, DataCamp also provides affordable pricing plans. You can select a pricing plan as per your preference.
USER-FRIENDLY:
Enjoy an interactive learning experience at DataCamp as the courses offer video tutorials and engaging exercises that make your training even more enjoyable.
FREE 1 MONTH TRIAL:
You can enjoy free access to the first chapter of the courses offered for the first month. This way, you can understand the way DataCamp works. I feel one should go for the free plan.
WIDE RANGE OF COURSES:
With 300+ courses offered by DataCamp, students can choose training for their skills and knowledge in any way they like. Not only this, you get the opportunity to learn from leading experts and instructors from the Data Science community.
CONS:
NO RECOGNISED CERTIFICATE:
One of the disadvantages of DataCamp - it does not provide an Accredited Certificate. After completing the course, a Statement of Accomplishment is given.
LIMITED CATEGORIES OF COURSES:
Datacamp does not provide a wide range of categories of courses. It offers courses mainly in Data Science and Analytics.
HOW DOES DATACAMP WORK?
DataCamp provides various courses like other online platforms. Students can take these courses by creating an account and choosing a subscription plan. Every course offers relevant knowledge required by the student.
Besides this, students can also choose Tracks. There are two kinds of Tracks- Skill tracks and Career tracks.
These Track learning consists of various courses which help students gain skills.
DataCamp Skill Track consists of 3–6 courses that allow a student to gain knowledge for a specific skill; while DataCamp Career Track consists of 15–20 courses that help a student prepare for a career.
The courses are taught by different instructors, making us engage like professionals.
After completing the course, a student is allotted a Statement of Accomplishment.
DATACAMP FOR CLASSROOMS:
DataCamp for classrooms is free for educators.
You can freely access the whole semester to grow your skills and make your students learn those skills.
You can create your free account.
This is an excellent opportunity to interact with students and develop quality content.
With more than 50 practice sessions and real-life projects, students can learn from expert instructors and master their skills and analytical knowledge.
You can assign specific courses, chapters, or goals and track their progress.
It is necessary to track their progress from time to time.
You can also use the DataCamp Signal feature to accurately measure your student’s progress.
Teachers can also invite their students to join DataCamp. But DataCamp only allows students of age 16 and above to make a DataCamp account.
DataCamp for Classrooms is specially meant for teaching staff, so a student cannot use this feature for free.
DATACAMP PYTHON:
Python is a simple programming language that is easy to use and read.
It has a solid community base.
It is used in Data Science and is a valuable language for beginners.
In DataCamp Python Programming, you will learn how to code.
You can write functions efficiently with hands-on and best practices.
In about 24 hours, you can complete the six courses covered under Python Programming.
These courses include :
1. Writing Efficient Python Code
2. Efficient Writing Code with pandas
3. Writing Functions in Python
4. Software Engineering for Data Scientists in Python
5. Unit Testing for Data Science in Python
6. Object-Oriented Programming in Python
DataCamp is a good platform for learning Python. By the end of the course, you will be able to resume and maintain your code.
DATACAMP R:
R is a programming language where we learn the process of data manipulation and visualization, using tools like dplyr.
You will learn the data analysis process and robust set of rules, Tidyverse.
Ones who are interested in Data Analysis must learn the R language.
Under DataCamp, you will see courses covered under R.
These courses include:
1. Data visualization
2. Data Wrangling
3. Grouping and summarizing
4. Types of visualizations
With over 191K learners of R and 50 exercises, I believe DataCamp is the perfect platform for learning R.
DATACAMP SQL:
SQL, known as Structured Query Language, is a programming language used for managing data in relational databases like SQL Server and MySQL.
Basics of SQL Programming are fundamental to learning.
SQL makes us understand the basics of Querying tables.
An effective Data Scientist must know how to use SQL.
If you need to work efficiently with databases, you must learn the SQL course.
DataCamp is a great platform for learners to study SQL.
With over 984K learners and 41 exercises, Introduction to SQL in DataCamp includes some courses, which include:
1. Selecting columns
2. Filtering Rows
3. Aggregate Functions
4. Sorting and Grouping
MORE ABOUT DATACAMP:
DataCamp, an online learning platform was founded in 2013 by Martijn Theuwissen, Jonathan Cornelissen and Dieter De Mesmaeker.
Students often ask what XP is and why they need it. XP is a way of checking how much the learner engages in DataCamp. Your progress in exercises and courses calculates it. This XP automatically increases as the student makes progress! One can see it on the top right corner of the screen. There is another factor of XP as well. When you choose to see hints or solutions, XP gets reduced. Isn’t this interesting?
In the above image, we can see XP on the right top corner.
Often, DataCamp Limited is used in context with DataCamp. DataCamp Limited is a private limited company situated in London. Its main business activity is Data processing, hosting, and related activities. These are entirely different companies and must not be interlinked.
ALTERNATIVES TO DATACAMP:
1. CODEACADEMY:
Codeacademy is an online platform offering coding classes in 12 different programming languages, including Java, JavaScript, C++, etc.
It is easier to set up and is less expensive.
2. UDACITY:
Udacity is highly recommended for advanced learners and focuses on technology-oriented topics. Although Udacity is more expensive than DataCamp, it is more versatile in various fields.
3. UDEMY:
Udemy offers a variety of courses for different needs with no technical issues. With more users, Udemy offers certified courses. It has over 100K courses in over 65 languages! Isn’t this exciting?
4. COURSERA:
Coursera offers a variety of courses with degrees and specializations. It is a free platform, but specializations are paid. It has also established ties with Universities and suggests students enroll in courses that can help them improve their skills and learn professional development.
Some other alternatives include Dataquest, edX, Cloud Academy, Pluralsight skills, etc.
LAST THOUGHTS: CONCLUSION:
DataCamp is a legit platform and safe to use. DataCamp courses are best suitable for learners new to Data Science or Analytics. Lessons are well—structured, which makes them user-friendly. DataCamp is a fantastic platform guided in the correct direction, where students are taught relevant education with updated courses. One may cancel their subscription at any time. But the unused portions of subscriptions are not refunded.
Therefore, DataCamp is the best platform for you if you want to gain comprehensive data science skills available in multiple languages.
SOME FAQ:
Does DataCamp offer free courses?
DataCamp allows you to access the first chapter of each course for free. Also, for some standard pricing plans, DataCamp provides free access to some courses. For example, Free Introduction to R Programming, Learn Python for Data Science, etc. For premium plans, one needs to have a monthly or yearly subscription.
To know more about the pricing, you can check the following link.
https://www.datacamp.com/pricing
Is DataCamp suitable for learning?
For beginners who want to learn Python, R, and Data Science, DataCamp is a good platform. They start with basic concepts and gradually use practical knowledge. It is a great platform to learn new skills and build a career.
Is a Datacamp Certificate worth it?
Although DataCamp does not provide a recognized certificate, it does give you a Statement of Accomplishment. You can easily share it on LinkedIn or use it in your resume when applying for a job. DataCamp Certificate shows your initiative to learn and apply skills in the real world.
Is DataCamp worth paying for?
In my opinion, DataCamp is definitely worth paying for. The easy-to-understand feature and affordable pricing plans make it easier for students to enroll and build their data science and analytical skills. Beginners will enjoy this platform and build their confidence through projects, skill assessments, and practice challenges. Skills acquired can be used in respective jobs and careers.
TRY DATACAMP FOR FREE
https://upskillwise.com/out/datacamp/
Coursenator has compiled a list of the Top 10 best-reviewed DataCamp courses:
Introduction to R
Introduction to the Tidyverse
Joining Data in SQL
Machine Learning for Everyone
Data Manipulation with Pandas
Data Manipulation with dplyr
Data Analysis in Spreadsheets
Introduction to Tableau
Database Design
Data Engineering for Everyone
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