Whether you are just starting out on your data science career or stuck in a position where you are confused about what the next step could be, then data science certification can be of immense help.
Data science certifications are credentials offered by reputed institutes and certification bodies that validate a candidate’s data science skills, knowledge, and expertise at various levels in their data science careers.
These certifications come for all types of data science professionals including those just starting their journey in this career path, or are at mid-level, or aspiring to reach the top position.
There are data science certifications designed to validate specific skills such as AWS, Azure, IBM Watson, etc. So, in this article let us delve deeper into how you can leverage a data science certification to boost your career.
Overview of Data Science Career
If we look at the numbers, then the data science industry is growing at a rapid pace. It is expected to reach a staggering $744.10 billion by 2032 growing at a CAGR of 21.15% (as predicted by Straits Research). This huge growth also indicates a rise in the demand for skilled data science professionals including data scientists, data engineers, data analysts, etc.
Also, if we look at the salary these professionals get, then the average remuneration is above the average of all other occupations. For example, the average salary of data scientists in the US is $112,953 per annum. Similarly, other data science job roles also earn an average salary ranging from $100,000-$150,0000 (all salary stats are as reported by Glassdoor).
Therefore, we can conclude, that the opportunities in the data science industry are huge. Not to mention, the competition in this domain will also be higher. And data science certifications can prove to be a savior.
Is data science certification worth it?
Let’s check out the pros and cons of data science certifications to analyze whether they are worth it or not.
Pros:
- Validates your skills and expertise
Data science certifications are a great way to showcase your commitment to learning and growing in this career path. They validate your latest data science skills and knowledge. Showing your commitment to this industry can help you gain an edge over non-certified candidates.
- Structured learning path
Since most of the certification programs offer structured learning paths consisting of a well-defined curriculum and covering essential data science concepts, this can be highly valuable if you are starting your career.
- Stay updated
Reputable data science certifications like the ones offered by the United States Data Science Institute (USDSI®) keep pace with the industry trends and ensure you learn the latest tools and techniques.
- Networking and community
Many certifications also offer access to online communities and professional networks. This can be helpful to learn from their experiences and find potential opportunities in the future.
Cons:
- Time and cost
Preparing for certification exams can be time-consuming as well as heavy on your budget. So, applicants must be good at balancing their study work and other responsibilities properly. Self-paced online learning programs can be very helpful.
- Theory vs. Practical Learning
Though certifications offer valuable theoretical knowledge, you must also consider programs that offer practical learning through practice codes and real-world data science projects.
- Doesn’t guarantee a job
Data science certifications give candidates an edge against their competition, but they do not guarantee a job. It’s ultimately your data science skills, knowledge, and your performance in interviews that matter.
- Recognition
There are numerous certification programs available in the market and not all of them are recognized and credible.
- Limited scope
Data science is a huge field. So, a particular certification doesn’t cover everything about data science. They typically focus on specific areas, and you may need to pursue additional certifications for complete knowledge and validation.
So, are they worth it?
Well, it all depends upon your career goals and circumstances. If you are new to data science, want to validate your skills and knowledge, or if you want to learn specific skills and platforms, then you must consider enrolling in the right data science program.
And if you already have a strong foundation in data science concepts, practical experience, and a strong portfolio, then you can prove your mettle in job interviews.
Certifications can be a valuable tool, but they’re not a magic bullet. Focus on building a well-rounded skillset through projects, independent learning, and continuous upskilling.
Top data science certifications
If you are looking to boost your data science career, then certifications can definitely help you. So, here are some of the top data science certifications that you can consider pursuing:
- Professional Certificate in Data Science: University of California
- Deep Learning Specialization: University of Toronto
- Certified Data Science Professional (CDSP™): USDSI®
- IBM Data Science Professional Certificate
- Microsoft Certified: Azure Data Scientist Associate
These are designed for different levels and different skill sets. So, choose certifications that match your career goals, learning preferences, time, and cost.
Conclusion
Data Science certifications are important credentials that can help validate your latest data science skills and knowledge, as well as demonstrate your commitment towards lifelong learning in this domain to the employers. This will help you gain an edge over your competitors and help boost your career. However, they do not guarantee a job, and earning a certification can be a time-consuming and costly process. Therefore, analyze your current career situation, choose the right certification program, and take a leap in your career with the right decision.
