For the past few decades, Data Science has been the hot career path. With such high demand for this career, several credential providers eye on students by convincing them to enroll for their certifications. If you are unsure which data science certifications to pursue, keep reading until the end.

While there is eloquent discussion around which data science certification is the best to opt for, the most habitually asked question on the Internet today is, "How is Data Science as a Career?"

Although there is no clear explanation for the question, the average work satisfaction of a Data Scientist is 4.1 out of 5 and ranks #3 in the 50 Best Jobs in America last year.

Big Data enables companies of all sizes in making informed decisions regarding finance, products, and marketing, making Data scientists one of the most in-demand jobs in the US market. To become a Data Scientist, a certification is required, and employers often prioritize candidates with expertise in Python, R, SQL, and Machine Learning.

According to the US Bureau of Labor Statistics, the employment rate for Data Scientists is expected to grow by 36% by 2030, which is four times the average growth.

However, due to the myriad of courses scattered today, selecting the Top data science certification course could be a strenuous activity.

Do not fret! Listed below are the Top 3 Data Science Certifications to master this year:

3 Best Data Science Certifications

1. Google: Professional Data Engineer Certification:

Google’s Professional Data Engineer Certification course aims to teach data science aspirants how to manage and organize large amounts of data effectively and securely with a focus on teaching data compliance, reliability, and accuracy.

Course Features:
● Online courses, study guides, and documentation to help prepare for the two-hour exam.
● At least three years of experience in data engineering and the Google Cloud platform before taking the exam.
● Verification of ability to address real-world data engineering problems using Google Cloud technologies.
● Covers all vital skills and abilities necessary for a data scientist.

The exam guide is divided into four sections, each emphasizing the collective skills required to become a data scientist or data engineer by covering the following topics:

● Data Modelling
● Data migration
● Cloud Tools
● Data Cleaning
● Machine learning models
● Security & Compliance
● Privacy maintenance
● Verification, monitoring
● Data Staging
● Fault tolerance
● Dataprep and much more.

Upon the course completion, you will be awarded a digital badge, and certification as a reward to showcase your ability to solve real-world data engineering issues to recruiters.

2. United States Data Science Institute (USDSI®)

USDSI®) is a member of the Institute for Credentialing Excellence and the American National Standards Institution and was founded by data science professionals working in major global companies with the goal of offering job opportunities to individuals with real-time data expertise through a structured framework and modern learning processes.

Course Features:
● Authentic and relevant curriculum developed by 30+ data science professionals
● At least three years of expertise in data science or a related area.
● A Completely self-paced certification program
● Study Books, E-books, and Practice Codes only if they aid in learning.
● Positive feedback from candidates who completed the USDSI® certifications.
● Upon completion, students receive a certificate and digital badge.

Currently, USDSI® offers three distinct data science certification programs based on the candidates' experience levels.

1. Certified Data Science Professional™ (CDSP™)
2. Certified Lead Data Scientist™ (CLDS™)
3. Certified Senior Data Scientist™ (CSDS™)

Every course covers the fundamental to expert-level topics and resources for becoming a data scientist. Here are a few of such topics covered:

● Data manipulation
● Data analysis
● Data visualization
● Machine learning
● Time-series Analysis
● Probability Analysis
● ML Algorithms
● Data Models
● Deep learning
● The Hadoop system
● Cybersecurity
● NLP
● Big data technologies, and more.

3. Microsoft Certified: Azure Data Scientist Associate

Microsoft's Azure Machine Learning, part of the Azure platform, is a cloud computing service. This Associate certification is crafted for data scientists to demonstrate their proficiency in applying data science and machine learning on Azure.

Course Features:
● Toolset for data analysis and machine learning
● Hands-on learning with real-world datasets and case studies
● Access to industry experts and mentors
● Learn independently or with an instructor
● Globally recognized certification upon completion
● Access to a network of certified professionals and resources.

To become a Microsoft Certified: Azure Data Scientist Associate, you need to pass one exam: Exam DP-100: Designing and Implementing a Data Science Solution on Azure.

Final Words

Your professional objectives and learning style will impact your decision. Whatever your pick is, if you have the requisite skills and persistence, you will be the best data scientist in the future, undoubtedly earning more than the average $125,053 per year.

Depending on today’s job market and preferences, the Google Certification and USDSI® Certification Programs provide extensive curricula and competent resources to address any questions or problems you may have throughout the course.