DataCamp is a great and popular online place to learn about data science and improve your skills. DataCamp has classes in data science, Python, SQL, R programming, big data, machine learning, deep learning, and applied finance.
In this list of the best DataCamp courses, we’ll look at the most important things you’ll learn and how the most popular classes, skill tracks, or learning paths are set up. While some of these courses have amazing Datacamp deals and offers, some may be free.
If you don’t know, Datacamp is a great place to learn Data skills, and it has the best courses for learning Data skills like SQL, Data Science, and Python.
Datacamp is like Codecademy for learning Data. It’s one of the best places to learn Python and SQL for data science because they use interactive lessons, quizzes, video lectures, and creative exercises to teach key data skills.
Data science is a big field, and students need to know a lot of programming languages like R and Python.
About Datacamp
DataCamp provides two types of learning environments: skill tracks and individual courses.
Each skill track has many DataCamp courses that explore the subject in-depth, whereas a course focuses on a single topic. A novice can begin with a course as an introduction and then progress to the appropriate skill track for more in-depth information.
Nowadays, data is the core that keeps businesses functioning and making decisions based on data analysis. This is a data scientist’s job. The DataCamp platform assists businesses and people in dealing with and working with data by utilizing a variety of tools and applying machine learning algorithms to this data.
Best Datacamp Courses To Learn Python, R, SQL and other courses
Here is my list of the best Datacamp courses that people can take to learn important tech skills like Python and SQL and become Data scientists in 2022. Data Scientists and Backend engineers who know Python and SQL are in high demand, and these Datacamp courses will lift you from the ground up.
1. Introduction to Python
Python is one of the most popular languages for data science programming. The DataCamp Python course is a great place for beginners to learn the basics of the language and build a solid foundation for a wide range of tech careers and skill tracks.
It also talks about artificial intelligence using frameworks like Tensorflow and Pytorch. Datacamp has made a course for learning this language from the beginning, starting with the basics like variables and data types, python lists, then moving on to functions and importing packages, and finally using NumPy to work with arrays.
The best thing about it is that it’s free. All of the chapters are free, and you can get to them by making a free account.
2. Introduction to R
Data scientists must study math and statistics in order to deal with data and do analysis, therefore in addition to learning Python, they must also learn the R language, which is regarded as easy to learn like Python but is widely used in statistics, analysis, and data visualization.
Data Science is strongly reliant on statistical approaches, and R is an excellent tool for carrying out statistical operations and displaying the results.
There are six chapters in all. It begins with an overview of R fundamentals such as assigning variables and utilizing the terminal as a calculator. The second and third chapters of this book go into vectors and matrices in R. The fourth chapter goes into the significance of variables in data analysis.
3. Introduction to SQL
If you want to work as a database administrator, data scientist, or even a web developer, you’ll need to learn SQL, which is the language that’s used to interface with databases and extract and filter data for usage.
Datacamp has designed a comprehensive course that will educate you about the database structure and how to run simple SQL queries, as well as how to utilize comparison operators, and aggregator functions, and sort and arrange your results.
4. Data Engineering for everyone
There are a lot of data scientists, but not many data engineers. This DataCamp course looks at the differences between a data scientist and a data engineer and gives you the skills you need to start your journey as a data engineer.
The course is short, with only three chapters that can be covered in two hours. In the first chapter, you’ll learn about data engineering and see your first data pipeline. In the second chapter, we look at how data is stored.
5. Introduction to Data Visualizations
When you visualize data, you turn it into plots and charts so you can see more about it in one picture. If you want to be a data scientist, a data analyst, or even an AI engineer, you have to have this skill.
The DataCamp Data Visualization with R skill track (see website) is made up of three 4-hour courses, each taught by a different teacher.
In the first two sections, we talk about how to display data with ggplot2 and talk about its looks, geometry, facets, coordinates, and statistics. Best practices for visualization in R will round out your skills.
Check the complete Datacamp Review to see more courses.
Conclusion
Here is our list of the finest DataCamp courses available online in 2022. DataCamp is an excellent location to acquire data skills, whether you are new to data science or an experienced practitioner.
You may start and test out any class for free before continuing your education with a monthly or yearly membership beginning at $25/month.
Overall, DataCamp is appropriate and suggested for data science students looking for a job in technology, as well as freelancers and entrepreneurs looking to further their careers. To try DataCamp, keep in mind that the first class or module of any DataCamp course is always free.
