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Which exam is for data science?

Introduction:

Data Science is a booming industry, and with the explosion of big data, the demand for professionals with expertise in managing, analyzing, and interpreting data is on the rise. The field encompasses a broad range of knowledge and skills, including statistics, machine learning, programming, and data visualization. As the demand for skilled professionals in this field continues to grow, certifications and exams for Data Science have become increasingly popular. In this article, we will explore in detail the most popular and widely recognized Data Science exams available today.

Cloudera Certified Data Scientist (CCDS)

Cloudera Certified Data Scientist (CCDS) is a certification program designed to validate a candidate’s expertise in Data Science. The exam assesses a candidate’s ability to work with large datasets, build and implement predictive models, and work with Data Science tools such as Hadoop, Spark, and R. The exam comprises 8-12 performance-based tasks that need to be completed within 120 minutes.

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The CCDS certification is highly regarded in the industry as it demonstrates a candidate’s proficiency in several key areas, including data analysis, machine learning, and data management. It is especially useful for professionals who are looking to work with big data, as it covers several tools and technologies commonly used in this field.

The exam is divided into three sections:

data exploration, feature engineering, and model building. In the data exploration section, candidates are tested on their ability to extract meaningful insights from large datasets. In the feature engineering section, candidates are assessed on their ability to transform raw data into useful features that can be used for modeling. Finally, in the model building section, candidates are tested on their ability to build and deploy predictive models.

SAS Certified Data Scientist

The SAS Certified Data Scientist exam is designed to test a candidate’s ability to work with data using SAS software. The exam includes multiple-choice and short-answer questions that cover topics such as data manipulation, modeling techniques, and machine learning. The exam comprises of two parts: the SAS Certified Big Data Professional and the SAS Certified Advanced Analytics Professional.

SAS is a widely used software suite in the Data Science industry, and the certification is highly regarded in the field. The exam is designed to test a candidate’s proficiency in several key areas, including data manipulation, data visualization, and predictive modeling.

The first part of the exam, the SAS Certified Big Data Professional, focuses on the candidate’s ability to work with big data using SAS software. The second part, the SAS Certified Advanced Analytics Professional, focuses on the candidate’s ability to build and deploy predictive models using SAS.

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Microsoft Certified: Azure Data Scientist Associate

The Microsoft Certified: Azure Data Scientist Associate certification exam validates a candidate’s ability to work with Azure Machine Learning and Azure Databricks for building and implementing machine learning models. The exam comprises multiple-choice questions that cover topics such as data preparation, model building, and deployment.

Azure is Microsoft’s cloud computing platform, and the certification is designed for professionals who work with Azure Machine Learning and Azure Databricks. The exam is divided into several sections, including data preparation, modeling, and deployment. The data preparation section focuses on the candidate’s ability to clean, transform, and preprocess data. The modeling section assesses the candidate’s ability to build and train machine learning models. Finally, the deployment section assesses the candidate’s ability to deploy and manage machine learning models.

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Google Cloud Certified – Professional Data Engineer

The Google Cloud Certified – Professional Data Engineer exam is designed to test a candidate’s ability to design, build, and maintain data processing systems. The exam comprises of multiple-choice questions that cover topics such as data modeling, data ingestion, data transformation, and data visualization. The exam also includes performance-based tasks that require candidates to perform tasks using Google Cloud Platform (GCP)

IBM Data Science Professional Certificate

The IBM Data Science Professional Certificate is a series of courses designed to teach candidates the fundamentals of Data Science. The certificate is earned by completing nine courses, which cover topics such as data analysis, data visualization, machine learning, and data science tools such as Python, Jupyter Notebooks, and R.

The IBM Data Science Professional Certificate is a great option for individuals who are new to Data Science and want to build a strong foundation in the field. The courses in the certificate program are self-paced, and candidates can complete them at their own pace. Candidates who complete all the courses and pass the corresponding assessments receive the IBM Data Science Professional Certificate.

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Conclusion:

Data Science is a rapidly growing field, and there is a significant demand for professionals who can analyze, manage, and interpret data. There are various certifications and exams available for Data Science that validate a candidate’s expertise in the field. The Cloudera Certified Data Scientist (CCDS), SAS Certified Data Scientist, Microsoft Certified: Azure Data Scientist Associate, Google Cloud Certified – Professional Data Engineer, and IBM Data Science Professional Certificate are some of the most popular and widely recognized Data Science exams.

Choosing the right certification depends on the individual’s career goals and expertise in the field. The Cloudera Certified Data Scientist exam is ideal for individuals who want to work with big data and Data Science tools such as Hadoop, Spark, and R. The SAS Certified Data Scientist exam is designed for individuals who want to work with data using SAS software. The Microsoft Certified: Azure Data Scientist Associate certification exam is ideal for individuals who want to work with Azure Machine Learning and Azure Databricks for building and implementing machine learning models. The Google Cloud Certified – Professional Data Engineer exam is designed for individuals who want to design, build, and maintain data processing systems using Google Cloud Platform tools. Finally, the IBM Data Science Professional Certificate is ideal for individuals who are new to Data Science and want to build a strong foundation in the field.

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In conclusion, Data Science is a dynamic field with great potential for growth and development. By acquiring the right skills and certifications, individuals can open up numerous career opportunities in the field. While there are various certifications and exams available, it is important to choose the one that aligns with your career goals and expertise in the field.

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