by In 2025, data science becomes more powerful and its importance can be seen everywhere. With its help, you can do many things, from predicting trends to building smarter apps. Whether you are a beginner or a professional, it has become necessary for everyone to know and learn these machine learning and data science platforms.
Today, in this blog, we will discuss the best data science and machine learning platforms that will help businesses manage data effectively for any operations.
Top 5 Data Science and Machine Learning Platforms
1. IBM Watson Studio
IBM Watson Studio is a powerful platform with the help of which machine learning models are built and deployed. The platform includes a very simple user interface and intelligent tools. In this place, users can perform tasks like data analysis, model building, and solution deployments seamlessly. It is an excellent choice for novices as well as experts.
Top course to start learning:
Machine Learning Rapid Prototyping with IBM Watson Studio: This course teaches you how to quickly build and test machine learning models using IBM Watson’s tools in a very simple manner.
2. Dataiku
Dataiku is a top tool for building machine learning models and data pipelines. It is designed for teams where you will get both no-code and code-based options. This platform has made data science work easy for everyone even if they do not have pioneer experience. Dataiku helps you manage large datasets and form powerful models.
Top courses to start learning:
Build your first Machine Learning Pipeline using Dataiku: With the help of this course, you can get an understanding of how to create a basic machine-learning pipeline with hands-on experience. It is ideal for beginners looking to get started working with machine learning.
Data Science Methodology in Action using Dataiku: The practical application of the data science methods by making use of Dataiku is explained in this course. It also teaches you to build model development strategies.
3. MATLAB
MATLAB is widely used in research and academic circles to study data and grow algorithms. It is known for offering strong math and computational capabilities. This platform mainly helps solve complex data problems, making it a popular choice for scientists and engineers.
Top courses to start learning:
Introduction to Programming with MATLAB: It is a beginner-friendly course that covers topics related to basic programming in MATLAB. Here, you will also learn about variables, loops, and functions.
MATLAB Programming for Engineers and Scientists Specialization: It is a detailed course about MATLAB and is perfectly suited for engineers and scientists. In it, you will learn about techniques related to data analysis and algorithm development.
4. SAS
SAS is a reliable platform for data presentation and management. It is mainly used by big enterprises that are engaged in healthcare and banking. It is best suited for professionals who work with huge amounts of data and need to carry out detailed statistical analyses.
Top courses to start learning:
Getting Started with SAS Programming: This is an introductory course that gives basic education about SAS programming. It mainly focuses on data manipulation and analysis while also teaching you how to use SAS tools.
SAS Programmer Professional Certificate: If you want to advance your SAS programming skills then this is the perfect course. From data management to advanced statistical analysis, all types of topics you can learn with the help of it.
5. Amazon Web Services
AWS is a widely used cloud platform for machine learning, which comes with huge tool sets for building applications in data science. Amazon SageMaker from AWS allows you to build, train, and deploy machine learning models. It comes with great flexibility and reliability and is the ideal solution for large-scale projects & enterprises.
Top courses to start learning:
Cloud Computing and Amazon Web Services (AWS) Fundamentals: This entry-level course will help you make a strong base in concepts like cloud computing and AWS. It trains you on the basic services and features of AWS related to machine learning.
Conclusion
It becomes very important for any business to use the best data analysis and best machine learning platforms. In 2025, platforms like IBM Watson Studio, Dataiku, Matlab, SaaS, and Amazon Web Services are very popular choices. These provide businesses with a robust infrastructure which is needed for efficient data analysis, model development, and collaboration. You can also learn to use these types of platforms by gaining some level of expertise. For that, explore and compare courses on Choice Dekho, enroll in the ideal one, and start using these platforms with confidence.
