5 Best Data Science Certifications for a successful Data Science Career
Why would someone want data science certification you may ask? Well, the reasons behind pursuing a certification are numerous,
Why would someone want data science certification you may ask? Well, the reasons behind pursuing a certification are numerous, which we will discuss in a further section. But on top of that, the more confusing question is – which are the best data science certifications that will help you make a successful career in data science?
In this article, we will explore the top data science certification programs that are designed to empower aspiring data science professionals as well as senior data scientists with the latest industry-relevant data science skills, tools, and technologies.
Overview of the Data Science Career
Data science is a field that helps organizations find meaningful insights in data, uncover hidden trends, and make data-driven decisions. The data science industry is growing and evolving rapidly. In 2024, the market size is $133.12 billion and is expected to reach $776.86 billion by 2032, growing at a CAGR of 24.7% (as per Fortune Business Insights). This growth leads to a higher demand for skilled data science professionals who can turn business leaders’ data science visions into reality.
Why You Need a Data Science Certification
The demand for skilled data science professionals is booming, and so is the competition. A credible data science certification can set you apart and offer several benefits:
- Gain the latest and in-demand data science skills
- Validate your skills and expertise in specific areas
- Show your commitment to lifelong learning
- Gain practical experience
- Network with professionals in the field
- Enhance employability and increase salary prospects
With so many advantages, obtaining a top data science certification is highly beneficial.
Best Data Science Certifications
Certified Lead Data Scientist (CLDS™) – USDSI®
The USDSI® certification program is ideal for mid-senior-level data science professionals with 2-6 years of experience. It helps you gain expertise in data science workflow, project management, big data, data management, Hadoop 3, databases like MongoDB, data visualization, and other essential concepts.
IBM Data Science Professional Certificate
Offered by IBM on Coursera, this beginner-level certification is perfect for students and young professionals. It covers fundamental data science concepts such as Python, SQL, data analysis, data visualization, and building efficient data science models.
No prior work experience or programming knowledge is needed. The course lasts five months and can be completed at your own pace with at least three hours of study per week.
CompTIA Data+
CompTIA Data+ is another beginner-friendly certification that helps you understand various data science concepts. It covers data structures, file formats, data mining techniques, data governance, data quality control, and data visualization.
Data Science Fundamentals Certificate – University of Toronto
This certification from the University of Toronto provides a solid foundation in data science. It covers statistics, probability, data analysis, machine learning, and data visualization.
Offered online in collaboration with Coursera, the course can be completed within 3-6 months at your own pace. Basic computer skills are helpful but not required.
Microsoft Certified: Azure Data Scientist Associate
This certification helps you become a data scientist by developing expertise in building and managing data science models on Microsoft’s Azure platform.
You need to be proficient in subject-matter expertise and have experience with data science workflows, Azure ML, and related technologies to complete this course successfully.
Conclusion
So, these were the top data science certification programs that will help you start your career in data science and even advance in your existing data science roles by helping you gain the latest data science skills and knowledge.
You can choose a data science certification based on your current career goals like the skills you want to learn, how much time and money you can invest, and where you plan to move ahead in your data science career.
Remember, data science is an evolving field, and to succeed in this career path, you must be willing to regularly update yourself. So, enroll now, and take your data science career to new heights.
