The Highest-paying data science certification programs in 2023

Are you someone who wishes to use the power of data to help a business grow and expand its horizons? Then the job of Data Scientist will be the best match for you. But looking at the cut-throat competition in the field of data science jobs, it is highly recommended to get certified in Data science from top institutes and certification programs. They not only offer better chances of getting hired but also prove your competencies and help you earn more than the normal salary offered as well. The average Data Scientist’s salary in the USA is $1, 03,852 with certified data scientists earning 10-20% more. So let’s have a look at some of the highest-paying Data Science certifications  to boost your career.

Highest-paying certification programs in Data Science:

1. Professional Certificate in Data Science - Harvard University

This is a series of online courses after completion of which students get a professional certificate from Harvard University certifying their core skills, knowledge, and practical experiences in the field of data science. The course is free to learn and available on edX. However, students must pay the certification exam fees of $891.1 and successfully pass the exam to get this professional certificate.

The course covers the introductory and all important topics on Data Science such as:

  • Inference and Modeling
  • Productivity tools, wrangling
  • Linear regression, Machine learning
  • Basics of R, Visualization technique, probability, etc.

 

2. AWS Certified Data Analytics (Specialty) – Amazon

The AWS Certified Data Analytics Specialty certification program is designed for individuals who want to demonstrate their expertise in designing and implementing AWS services to derive value from data. This certification validates the individual's ability to design, build, secure, and maintain analytics solutions using AWS in their data science jobs.

To earn this certification, candidates must pass the AWS Certified Data Analytics Specialty exam, which covers topics such as:

  • data collection
  • Storage
  • processing, analysis, visualization, and
  • Security on the AWS platform.

To prepare for the exam, AWS recommends that candidates have at least five years of experience in data analytics technologies, a strong understanding of AWS services, and experience using AWS to solve data analytics problems. AWS also provides several training resources, including online courses, practice exams, and study guides, to help candidates prepare for the exam.

3. Data Scientist Certifications - USDSI®

United States Data Science Institute (USDSI®) is one of the most popular data science certification institutes in the United States. From the introduction to Data Science to the usage of important data science tools like Tableau and PowerBI, the course covers the latest and trending data science syllabus. This program offers three levels of certification namely:

  • Certified Data Science Professional (CDSP™) – For entry-level data science professionals
  • Certified Lead Data Scientist (CLDS™) – For mid-level data Science professionals
  • Certified Senior Data Scientist (CSDS™) – For senior-level data science professionals

This is a self-paced learning data science certification program that students can cover in between 4 to 25 weeks. After enrolling, the students get access to personalized study books, real-world workshop-based eLearning, HD Quality self-paced videos, and get a sharable digital badge too.

4. IBM Certified Data Scientist - Machine Learning Specialist v1

This certification program from IBM is designed for professionals who want to validate their ability to design, build, train, evaluate, and deploy machine learning models using IBM Watson Studio and IBM Watson Machine Learning. To earn the certificate, students must pass an exam covering topics like:

  • Machine learning concepts
  • Model building
  • Model evaluation, deployment, optimization, etc.

To prepare for the exam, IBM recommends that candidates have experience in machine learning.

5. Microsoft Certified: Azure Data Scientist Associate

This certification from Microsoft is used to prove the credibility of a professional in using Azure tools in their data science jobs. Students must successfully pass the exam Designing and Implementing a Data Science Solution on Azure to get the certificate. There are two ways to prepare for the exam, self-paced learning and instructor-led training.

Students must prepare for the following to pass the exam:

  • Design and prepare a machine-learning solution
  • Explore data and train models
  • Prepare a model for deployment
  • Deploy and retrain a model 

Conclusion

So these are some of the widely recognized data science certification programs that pay. These highest-paying certification programs not only help students validate their skills and knowledge about the latest trends and technologies required in data science jobs but also helps to earn more than the average of what Data Scientists get. So, if you are looking to make a jump in your data science career and want to get a salary hike like never before, then getting certified from one of these most popular certification programs is always recommended. 

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