Today, more companies rely on data to make wise decisions in daily operations. Data has become a crucial aspect of business across all economic sectors. Because of this, the demand for data professionals has risen as companies seek out qualified personnel to take up the challenge and guide them to greatness.
The demand for data scientists means new opportunities for those interested in venturing into this field. Businesses need individuals who can retrieve data, analyze it, and develop insights that can be most helpful. If you want to excel in the job market as a data scientist, obtaining the appropriate training to develop the essential skills is crucial. Having a keen interest in data science is simply not enough.
Exam for data science
Data science is multidisciplinary, so you should cover many things to qualify as a data scientist. While there isn’t a singular exam for data science, various certification routes are available for you to pursue. The answer to this question typically lies in your personal interests and the specific field of data science that piques your curiosity.
You may notice similar subjects in different courses, but the syllabus is usually set by the institution in which you choose to learn. Depending on the target industry or your professional background, you can compare the courses and certifications that interest you to get started.
If you want to gain an advantage, receiving data science training is the optimal approach. With such training, skills can be validated, which makes you noticeable to recruiters. In addition, your skills can tell recruiters a lot and boost your chances of breaking into this lucrative field.
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The most popular certifications
This article delves into several widely recognized certifications that can assist individuals in pursuing a career in data science across numerous domains. They include the following:
Certified analytics professional (CAP)
This is a global certification that analytics practitioners can take. The certification has very high standards, and the exams are rigorous. If you meet the standards and pass the exam, you can enter the data science world and be recognized. There are many career opportunities that you get exposed to after getting certified. If you are an early or mid-career professional seeking certification, this could be a viable option for you. To be eligible, you must possess a bachelor’s degree and have a minimum of 5 years’ experience in analytics. A master’s degree with three years of experience also makes you eligible. In addition, you are required to sign an ethics code.
Benefits
With this course, you gain a lot of skills. There are also many benefits associated, including:
- Enhancing skillsets
- Showcasing credibility
- Opening new opportunities
DELL EMC: proven professional program
EMCDSA or Dell EMC data scientist associate is a certification that is the foundation. It exposes you to data analytics and big data basics. When this certification is passed, the holder is considered a proven professional. It shows recruiters and managers that you have the skills that a data scientist should have.
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A bachelor’s degree in electronics, electricals, telecommunications, information technology, computer science, or a related field is an absolute requirement to meet the qualifications.
You need to pass the DEA-7TT2 associate exam.
This course helps you gain skills in the following:
- Data analytics
- Statistics for evaluation and model building
- Exploring and analyzing data
- Techniques for data visualization
- Analytics project operationalizing
- Tools and technology for advanced analytics
- Theory methods on statistical modeling and analytics
Benefits
With this kind of certification, you will be held at a high value because of its associated benefits. These include:
- Learning new IT tech focusing on new operations
- Training that is role-based
- The course concentrates on different technologies applicable to all sorts of IT environments.
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SAS Certified data scientist
This certification is meant for those interested in data manipulation to get big data insights. Many open-source tools and SAS can be used to make business recommendations using machine learning models. The models can then be deployed using the most flexible environment.
The requirements for this course include:
- Six months of experience in statistics and mathematics
- SQL processing experience
- Experience with data manipulation techniques and SAS programming basics
Skills
This is a unique certification because three programs are available: advanced analytics, data curation, and ML and AI. Some of the skills include:
- Big data preparation, visual exploration, and statistics
- Big data loading and programming
- Computer vision and natural language
- Machine learning
- Optimization and forecasting
- Pattern detection
Benefits
The benefits that you can get from this course include the following:
- Exposure to real case studies
- Comprehensive training
- Credentials that are globally recognized
- Hands on learning
- Learning using Hadoop, Hive, Pig, Python, R, and SAS
Microsoft Certified: Azure Data Scientist Associate
This is another good exam to take if you want to be recognized as a data scientist. In this case, the data scientist applies machine learning and data science knowledge to run and implement workloads in machine learning using the cloud platform. In this case, you utilize Azure services, and you understand data science in a better way.
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For these certifications, there are no prerequisites, but you need to pass the DP 100. This involves designing and then implementing data science solutions in the exam.
The skills you acquire by taking this course include:
- Consuming and deploying models
- Managing and optimizing models
- Training models and running experiments
- Setting up a machine learning workspace
Benefits
This certification is not an easy one and can be rather challenging. However, you will be recognized as an expert in the field’s subject matter.
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Cloudera Certified Associate (CCA) Data Analyst
This is the last certification we will look at in this article. In this case, you learn how to analyze, structure, and prepare data in the CDH environment. You can do different things like data importation, alter and create tables, and create reports with join and select queries.
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The candidates in this certification include database administrators, system architects, developers, specialists in business intelligence, data analysts, and SQL developers.
Skills
The skills acquired by taking this course include:
- Data analysis
- Providing structure to data
Benefits
The fact that we need more professionals in data analysis makes this one of the best courses to take. With this course, you stand to benefit in different ways, including the following:
- Higher salaries
- Career growth
- Better employability
Conclusion
You can take many exams when you want to get into data science. Above are some popular certifications. There are many more globally recognized options that you can pick based on your interests or background. Certifications are your way of telling the world that you are job ready and equipped with the knowledge and skills demanded in data science.
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