A career in data science can be highly adventurous and rewarding. However, you wouldn’t like to be stuck in the same position for years. So, what do you do? You gain new skills, sharpen your knowledge, update yourself with the latest data science trends, and stay relevant and competitive in the evolving data science job market?
Through the best data science certifications.
Yes, these are the widely recognized credentials that will help you acquire the latest in-demand data science skills and expertise and enhance your credibility in the market.
An IMF analysis estimates that almost 40% of jobs worldwide are exposed to AI in some form. In advanced economies, this figure is higher, around 60%. And data science jobs are no exception.
If you want to succeed in this career path, you need to be aware of the latest generative AI knowledge, which is essential to streamline data science workflows in various ways.
So, let us check out some of the most updated and recognized data science certification courses that will help you advance in your data science career.
1. Certified Lead Data Scientist (CLDS™)
CLDS™ is one of the best data science certifications for mid-level data science professionals looking to advance to more rewarding and challenging job roles. This online and self-paced learning program is offered by the United States Data Science Institute (USDSI®), a leading certification provider globally.
Any professional with 2-4 years of work experience, preferably in the STEM field and with knowledge of programming language or engineering/finance/management/statistics, etc., can enroll in this program, where they will learn about:
- Data science and big data
- Data analysis lifecycle and workflow
- Advanced big data analytics
- Containerization, RPA, IoT, and Cloud
- Machine learning and PowerBI, and more
You will get free resources such as eBooks, e-learning workshops, lecture videos, and practice codes to learn these data science concepts and clear your exam.
All USDSI® certification holders, candidates, and global partners are required to adhere to the USDSI® Code of Ethics and Standards. These guidelines are reviewed and updated annually. However, USDSI® reserves the right to make interim updates based on urgent recommendations from its Ethics and Standards Management Committee or in response to compliance or regulatory directives issued by the United States government.
2. TensorFlow Developer Certificate
This TensorFlow Developer Certificate is offered by the TensorFlow team at Google and is a perfect way to demonstrate your data science skills and abilities to build and train deep learning models using TensorFlow.
The course covers important concepts like image classification, natural language processing, time series forecasting, and more, required to advance in your current data science job role.
To earn this certification, you need to clear a timed and practical coding exam that will assess your proficiency in Python and TensorFlow 2.x. This program is best suited for developers and data science professionals looking to specialize in machine learning and deep learning.
3. Cloudera Certified Professional (CCP): Data Scientist
The CCP: Data Scientist certification by Cloudera is suitable for experienced data science professionals who work in large-scale data environments. Through this certification, you can validate your skills in building efficient data science solutions using tools like Apache Hadoop, Spark, and other big data technologies.
This data science certification exam consists of real-world data science problems that have to be solved in a given time in a hands-on environment. This exam assesses a candidate’s skills in data wrangling, data visualization, modeling, machine learning, and other important concepts. Being a challenging program, it is widely respected and recognized across all industries.
4. NVIDIA Deep Learning Institute (DLI) Certifications
This certification will help you learn skills regarding computer vision, natural language processing, and accelerated computing. Data scientists, researchers, and engineers whose work is exposed to AI and high-performance computing projects can highly benefit from this program.
This program uses hands-on labs powered by GPUs and covers advanced data science frameworks and techniques like TensorFlow, PyTorch, CUDA, etc.
Upon completion of this course, candidates can earn a certificate of completion after clearing the assessment test.
5. Advanced Data Science Certificate Program by MIT Professional Education
This advanced data science certification has been designed especially for experienced mid-level data science professionals, aiming to equip them with essential knowledge in data science, AI, and machine learning.
It is offered in collaboration with Emeritus and covers topics like advanced statistics, deep learning, time series analysis, data ethics, natural language processing, etc. It is also an online self-paced learning program and includes hands-on projects using Python, TensorFlow, and other widely used data science tools.
Taught by renowned faculty from MIT, this certification program also focuses on real-world applications across industries and helps participants drive data-driven decision-making in their organization.
Conclusion
These are the top data science certifications, especially designed for experienced data science professionals to deepen their expertise in data science and move ahead in their current data science role.
With these certifications, you can learn and validate the latest data science tools and techniques and enhance your credibility in the data science industry to advance your data science career faster. So, register today.