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In today’s data science landscape, how can you stand out from the competition? Data science certifications can significantly enhance your career by validating your skills and opening new job opportunities in 2024. These certifications help you gain knowledge in data science and validate your expertise in the field. Let’s take a look at some of the top certifications available.
Certified Analytics Professional (CAP)
Successful candidates of the Certified Analytics Professional certification demonstrate a mastery of analytics. Candidates must hold a bachelor’s degree and have five years of analytics experience to take this exam. A master’s degree with three years of experience or seven years of non-analytics experience is also acceptable. The exam covers topics such as data preparation and model creation.
Cost: $375 for members, $575 for non-members
Validity: 3 years
Google Certified Professional Data Engineer
The Google Certified Professional Data Engineer certification validates skills in developing and designing data processing systems on Google Cloud Platform. Candidates should have knowledge in data engineering and practical experience with Google Cloud products. While no formal qualifications are explicitly stated, candidates should have at least three years of professional experience in the relevant field, with one of those years specifically focused on Google Cloud-related development and implementation.
Cost: $200 USD
Validity: 2 years
Microsoft Certified: Azure Data Scientist Associate
The Azure Data Scientist Associate certification verifies the ability to implement and run machine learning solutions on Azure technologies. The exam is designed to test proficiency in ML, NLP, and computer vision. It also demonstrates how Azure’s extensive toolkit and services can lead to the development of scalable and high-performance machine learning systems. Candidates should have sufficient knowledge and skills in data science concepts and be proficient in Python.
Cost: $165
Validity: 2 years
SAS Certified Data Scientist
The SAS Certified Data Scientist certification shows that a candidate can use SAS for data analysis. To progress towards the AI & Machine Learning Professional or Advanced Analytics certification, candidates must pass the Advanced Programming and Data Curation Professional exams. This test measures the candidate’s understanding and expertise in various aspects of the data analysis process, including data aggregation, transformation, and cleaning.
Cost: $180
Validity: 3 years
IBM Data Science Professional Certificate
The IBM Data Science Professional Certificate online course covers topics that equip learners with skills to practice data science. Participants can enroll in several online courses that serve as a foundation for a career in data science. Beginner courses include overviews of data exploration and visualization. The program also includes modules focused on advanced areas of data science, such as data analysis with Python and data visualization with R.
Cost: $234
Validity: Credentials do not expire
Cloudera Certified Professional (CCP) Data Engineer
The Cloudera Certified Professional Data Engineer certification covers various aspects of data engineering in a Big Data environment. It provides candidates with the expertise needed to design robust and scalable data pipelines for large-scale data processing. Candidates seeking this certification should have an understanding of data engineering principles and be well-versed in Big Data technologies.
Cost: $400
Validity: 2 years
[DASCA] Senior Data Scientist (SDS)
The Senior Data Scientist certificate recognizes individuals who demonstrate skills in machine learning modeling and data science. The Senior Data Scientist certification has criteria that candidates must meet to earn the certification. A master’s degree in a related field, including computer science, statistics, mathematics, or related subjects, is part of the requirements. Candidates must also have at least five years of professional experience in the data science field.
Cost: $775
Validity: 3 years
Conclusion
Obtaining a certification is crucial for advancing your data science career in 2024, as it helps verify your credibility, enhances your professional reputation, and opens new opportunities for promotions. These certifications will help you prove that you are a competent data science professional, capable and willing to solve complex problems.
Jayita Gulati is a machine learning enthusiast and a technical writer driven by her passion for creating machine learning models. She holds a master’s degree in computer science from the University of Liverpool.
