Top 10 BEST data science certifications for 2023
Data science is a fast-expanding discipline that has grown in importance in today's data-driven society. As the need for data scientists has expanded, so has the number of certifications and programmes in this industry. However, with so many alternatives available, determining which certifications are the greatest fit for your professional aspirations can be difficult. To assist you in making your decision, I've produced a list of the top ten data science certifications for 2023.
Professional IBM Data Science Certification
The IBM data science certification programme is a comprehensive curriculum that covers the whole data science lifecycle, from data exploration and visualisation through model development and implementation. It is great for data scientists and prospective data scientists seeking hands-on exposure to IBM's industry-leading tools and platforms.
Microsoft Accredited (Azure Data Scientist Associate).
The Azure Data Scientist Associate certification from Microsoft is a role-based certification that proves your ability to design, create, and deploy machine learning models on Azure. The certification is focused on Azure Machine Learning and includes Azure Databricks and Azure Data Factory.
Cloudera Data Scientist Certification (CCDS)
Cloudera's Data Scientist certification focuses on the knowledge and abilities required to conduct data science jobs with Apache Hadoop and Apache Spark. It is intended for data scientists and data engineers who wish to advance their knowledge of big data technology.
Associate in Data Science for Oracle Cloud Infrastructure
Oracle's Data Science Associate certification is designed for data scientists and data engineers who wish to construct and implement data science models using Oracle Cloud Infrastructure services. Data preparation, model building, and deployment are among the subjects covered by the certification.
SAS Data Scientist Certification
SAS's Data Scientist certification focuses on the abilities required to analyse large amounts of data, build machine learning models, and deliver data-driven insights. It is designed for data scientists and analytics professionals who wish to learn about SAS's industry-leading analytics tools and technologies.
Senior Data Scientist at the Data Science Council of America (DASCA)
The Senior Data Scientist certification from DASCA is a vendor-neutral certification that covers the whole range of data science abilities, from statistics and machine learning to big data and data visualisation. It is intended for data scientists, data analysts, and business analysts who want to learn everything there is to know about data science.
Big Data Engineer at Intel
The Intel Big Data Engineer certification is focused on Big Data tools and technologies, including Apache Hadoop, Apache Spark, and Apache Kafka. It is intended for big data engineers, data architects, and data analysts who wish to advance their knowledge of big data technology.
Speciality AWS Certified Machine Learning
This Amazon Web Services certification focuses on machine learning and covers subjects such as data exploration, feature engineering, and model assessment, as well as the usage of Amazon SageMaker, Amazon Elastic Container Registry, and other AWS services. It's great for data scientists and machine learning engineers who want to design, train, and deploy models using AWS services.
Professional Data Engineer at Google Cloud
Google's data engineer certification includes data processing system design and maintenance, as well as the construction and administration of data pipelines utilising Google Cloud Platform services including Cloud Dataflow, Cloud Dataproc, and BigQuery.
PCAP - Python Institute Certified Associate in Python Programming
Python is the most commonly used programming language in data science, with libraries such as NumPy, Pandas, and Scikit-learn, so data scientists, analytics professionals, and developers who want to gain expertise in this versatile and powerful programming language must obtain a Python certification.
As you can see, there is no single "optimal" data science credential; it all depends on your professional objectives.
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