Data science certifications have helped numerous professionals take their data science careers to new heights. These credentials offer several benefits to students and professionals wanting to start or advance their careers.
However, with so many available options, it isn’t easy to find the most suitable certification for one’s career. From renowned universities like Harvard and MIT to tech giants like Microsoft and Google, all are offering data science certifications. Not to forget numerous online courses, EdTech platforms, individuals claiming to be data science experts, and training and certification institutes, they also offer certifications recognized across industries throughout the world.
So, in this article, let us look at the best data science certifications for every career level and enroll with confidence.
1. Certified Data Science Professional (CDSP™) by USDSI®
USDSI® is a popular name in the field of data science certification. USDSI® certifications are designed and developed by industry experts and contain the latest data science tools and technologies which makes it a highly credible certification provider in over 160 countries.
This particular CDSP™ certification is designed for graduate students and young professionals with less than 2 years of work experience who want to master the fundamental concepts of data science and start their career in data science in 2025.
Why USDSI® Certifications?
Not just CDSP™, all USDSI® data science certification programs offer many features that make them attractive options such as:
- Online self-paced learning program with a duration of 4-25 weeks
- Requires a minimum of 8-10 hours of learning a week
- Free resources like eBooks, lecture videos, practice codes, etc. to prepare for the exam
- A sharable digital badge to highlight your data science skills and knowledge on LinkedIn and other platforms
Moreover, they offer attractive discounts through their Speedster program, have flexible payment options, and regularly update insightful stories and facts on their social media platforms making the overall learning process more fun and engaging. You can follow them here to get updates on the latest offers, data science technologies, and more:
2. Data Science Specialization from Johns Hopkins University
This data science certification course from Johns Hopkins University is available in Coursera and consists of 10 courses to introduce data science concepts and tools used throughout the data science pipeline. The course is led by experienced faculty from the University and ensures the learners know how to ask the right questions on business problems, manipulate datasets, analyze data, and do data visualization to publish results.
The course also has a capstone project at the end that is drawn from real-world problems and is conducted with academic, government, or industry partners.
3. Professional Program in Data Science by Microsoft
Designed by Microsoft, this professional data science program has been developed in collaboration with leading universities and employers and professionals can avail of it through the edX platform.
It covers the fundamental concepts of data science, the key tools and technologies, and programming languages led by industry experts. The program consists of 3 units and a capstone project carried out through 10 courses. Students need to score at least 70% marks to pass the exam and earn the certificate.
Through this course, you will learn data analysis, visualization, data querying with Transact-SQL, creating data science models, Machine learning with Python and R, and more.
4. Certified Lead Data Scientist (CLDS™) by USDSI®
This is another data science certification program offered by USDSI® and offers the same features that we mentioned above. However, this course has been designed for senior-level data science professionals who want to advance in their careers as a Lead Data Scientist.
CLDS™ program covers advanced data science concepts like machine learning and PowerBI, Data Analytics, advanced big data analytics, containerization, and more. The CLDS™ exam consists of 70 questions with a 100-minute duration and professionals must score 70% to successfully earn this certification.
Professionals get one free attempt to clear the exam, however they can reattempt the exam by paying $149 for each successive attempt.
5. Mathematics for Machine Learning Specialization by Imperial College London
This course from Imperial College London is designed to strengthen students’ or professionals’ mathematical foundations essential for understanding machine learning algorithms. It is divided into three courses – Linear Algebra (vectors, matrices), Multivariate Calculus (very important for machine learning techniques), and Dimensionality Reduction with PCA.
The course consists of exercises, quizzes, and Python mini-projects through which learners can learn to apply their theoretical knowledge to real-world data as well as prepare for advanced machine learning studies.
Conclusion
Data science is an ever-green field and as the amount of data generated is growing exponentially, the demand for skilled data science professionals is also increasing rapidly. These data science certifications are great credentials to learn the latest data science tools, and technologies, and gain in-demand data science skills. They can validate your experience, expertise, and knowledge to potential employers and enhance your employability. So, find a suitable certification program for you and register now.
