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Best data scientist certifications
Data scientist certifications allow job seekers to demonstrate their competency as an data scientist to employers. However, not all data scientist certifications provide the same value for job seekers.
The best certifications for a data scientist are Associate - Data Science Version 2.0, AWS Certified Machine Learning – Specialty, and IBM Certified Data Engineer - Big Data.
Below is a list of the best data scientist certifications. Obtaining an data scientist certification will give you a leg up when you apply for jobs and increase your potential salary.
3 best certifications for data scientists
| Rank | Data scientist certification | Organization |
|---|---|---|
| 1 | Associate - Data Science Version 2.0 | DELEMC |
| 2 | AWS Certified Machine Learning – Specialty | AWS |
| 3 | IBM Certified Data Engineer - Big Data | IBM |
3 best data scientist certifications
1. Associate - Data Science Version 2.0
This certification enables the learner to immediately participate in big data and other analytics projects. The certification validates the practical foundation skills required by a Data Scientist.
- More than two years of education or training after high school required? No
- More than two years of work experience required? No
- Oral or written exam required? Yes
- Renewal required?
2. AWS Certified Machine Learning – Specialty
The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.
- More than two years of education or training after high school required? No
- More than two years of work experience required? No
- Oral or written exam required? No
- Renewal required? Every 3 year(s)
3. IBM Certified Data Engineer - Big Data
This certification is intended for IBM Big Data Engineers. The Big Data Engineer works directly with the Data Architect and hands-on Developers to convert the architect's Big Data vision and blueprint into a Big Data reality. The Data Engineer possesses a deep level of technical knowledge and experience across a wide array of products and technologies. A Data Engineer understands how to apply technologies to solve big data problems, and has the ability to build large-scale data processing systems for the enterprise. Data engineers develop, maintain, test and evaluate big data solutions within organizations. They provide input on the needed hardware and software to the architects.
- More than two years of education or training after high school required? Yes
- More than two years of work experience required? Yes
- Oral or written exam required? Yes
- Renewal required? No
What is the best certification for a data scientist?
The best data scientist certification is Associate - Data Science Version 2.0. The Associate - Data Science Version 2.0 is awarded by the Dell Corporation. This certification is great to have as it shows an improvement in your competency to perform your role. You can earn this certification at the beginning of your career, as it often doesn't require a minimum education level and work experience.
Here's a bit more background on how to obtain this data scientist certification:
- To become a certified Associate - Data Science Version 2.0, you need to pass the exam.
- Lucky you - certification doesn't require more than two years of work experience.
- Renew certification every year.
The most common combination of data scientist certifications include: Associate - Data Science Version 2.0, AWS Certified Machine Learning – Specialty, and IBM Certified Data Engineer - Big Data.
Online courses for data scientists to earn certifications
1. Data Science Immersive (Full-time)
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech...
2. Data Science (Part Time)
Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting...
3. Programming for Data Science with R
Prepare for a data science career by learning the fundamental data programming tools: R, SQL, command line, and git...
4. Intro to Machine Learning with PyTorch
Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms...
5. Data Science:Data Mining & Natural Language Processing in R
Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples...
6. The Data Science Course: Complete Data Science Bootcamp 2023
Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning...
7. Python Programming (Part Time)
Gain fluency in Python — the world's fastest-growing major programming language — and start leveraging its versatile capabilities to build web and data science applications. This course is offered in person and live online, in a remote classroom setting...
8. Intro to Coding
Discover if coding is a career fit for you In this free, two-hour livestream, explore the building blocks of the web — HTML and CSS — and learn how you can apply these programming languages to develop your own simple sites. All in real time, taught by an industry professional. Come learn the basics and gain the skills you need to write your first line of code!...
9. Data Architect
Learn how to plan, design and implement enterprise data infrastructure solutions. Create the blueprints for an organization’s data management system...
10. Artificial Intelligence for Trading
Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio...
11. Introduction to Machine Learning for Data Science
A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist...
12. Data Science and Machine Learning Bootcamp with R
Learn how to use the R programming language for data science and machine learning and data visualization!...
13. Intro to Data Science
Discover if coding is a career fit for you In this two hour live workshop you will walk through the typical data science workflow and see how the pros identify powerful business predictions. You’ll get first-hand experience to explore the key tools and processes that data scientists use to analyze, visualize, and model data. ...
14. Data Engineer
Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets...
15. Artificial Intelligence
Learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun, including search, optimization, planning, pattern recognition, and more...
16. From 0 to 1: Spark for Data Science with Python
Get your data to fly using Spark for analytics, machine learning and data science...
17. R Programming: Advanced Analytics In R For Data Science
Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2...
18. Data Science for Business Leaders
Master the strategic decision-making skills for the people, platforms, and processes required to leverage the power of Data Science in your business...
19. Intro to Machine Learning with Tensorflow
Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms...
20. Data Science: Natural Language Processing (NLP) in Python
Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis...