In today’s technological scenario, data is everything. Most companies struggle to handle big data, so they have been hunting for expert data analysts to handle their data and make the most informed decisions efficiently. It increased the demand for data enthusiasts and students to pursue data science certification courses to start their excellent journey in data science.
If you are a fresher looking to establish your footing in the evolving data science industry, an unquenching thirst for learning and gaining more knowledge is essential to becoming a successful data science expert. To climb up the ladder, you should initiate your journey by completing a certification in data science.
A career in data science is one of the highly preferred jobs in India. This blog details the best data science certifications for beginners and how to choose a certification for your career.
What is Data Science?
Data Science is the field that involves managing and analyzing large volumes of data using statistics and mathematics. It employs a variety of tools and technologies to handle these extensive data sets effectively. Data Science allows professionals to explore, clean, connect, and organize data, uncovering valuable insights.
Pursuing a career in data science opens up numerous opportunities across various industries, as the ability to interpret and utilize data is increasingly critical in today’s data-driven world. Check out our previous articles to learn more about data science and the available courses.
A Certification in Data Science:
Do you know the difference between getting certified and passing a professional certification? A certificate refers to the result of an education process. You learn about the course from a trainer, and they give you a certificate as proof of your successful completion of the learning.
On the other hand, this certification defines passing a standardized global exam as a professional certification in the field of data science. A certification provides more knowledge and practical experience for professionals. Some of the data science exams are listed.
- SAS Certified Data Scientist.
- DASCA Principle Data Scientist (PDS).
- Google Data Analytics Certification.
- IBM Data Science Professional Certificate.
- Certified Analytics Professional (CAP).
- Google Professional Data Engineer Certification.
Do You Need a Certification to Get a Job?
In today’s competitive job market, a certification is a powerful way to highlight your professional skills on your resume. Essential skills such as data analysis, statistical data analysis, machine learning, and computing are crucial for any data science interview.
While there are countless videos available that explain various topics in data science, obtaining a certification is essential. It provides a formal and professional way to showcase your expertise and knowledge on your resume, making you stand out to potential employers.
The Best Way To Find The Right Certification:
Finding the proper Data Science certification is essential whether you are a fresher or an experienced professional. Here is the best way to do so.
Skills To Learn: What skills will you learn from this certification? Does this certification give you a more practical explanation or theoretical explanation? Are the skills explained in this course will align with your data science career goals?
Pricing: What will be the cost to pursue this certification? Will it be valuable for your Data Science career?
Eligibility: What are the eligibility criteria for enrollment in this program?
Duration: What will be the required time to complete this Data Science certification program?
Feedback and Reviews: What is the overall rating for this certification? What will be the perspective of the reviewers who have completed this certification?
IBM Data Science Professional Certificate:
To pursue the IBM Data Science Professional Certificate, you don’t need any prior experience. The program contains ten modules, which might take five months to complete if you commit 10 hours weekly.
The certificate focuses on the tools, essential programming languages, and shared libraries used by data science professionals. The major topics include Machine learning, big data, data analysis, and visualization.
Open Certified Data Scientist (Open CDS) Certification:
Open CDS is one of the most preferred and comprehensive certifications available for those who want to enter the field of data science. Open CDS certification gives you global recognition and helps you develop excellent knowledge and experience in the data science industry.
If you have experience in the data science industry, you can apply for Open CDS certification. To qualify, you must prove your experience and skills in data science through written applications and interviews. There are no exams conducted to qualify for this certification. A team of data science experts will review your skills and expertise to recognize you with the open CDS certification globally.
The open CDS has three levels of certifications for data scientists:
- Certified Data Scientist.
- Master Certified Data Scientist.
- Distinguished Data Scientist.
Google TensorFlow Developer Certificate:
The Google TensorFlow Developer certification program, conducted by Google, is exclusively created for data science students and developers to showcase their skills. This certification helps the learners leverage TensorFlow tools to handle common Machine Learning problems, natural language processing issues, and regressions.
The exam is conducted to test the capacity of the candidate’s proficiency in TensorFlow 2. x, and the exam can be taken only using Pycharm IDE.
Azure Data Scientist Associate Certification:
The Azure Data Scientist exam, certified by Microsoft, focuses on the learner’s ability to implement and run Machine learning tools like Azure. The exam tests the candidate’s proficiency in AI solutions, ML, NLP, and analytics. You need some experience in NLP and ML to pass this exam.
Some of the areas that require focus to pass this exam are:
- Managing resources and identities.
- Implementing storage.
- Manage virtual networks.
Cloudera Data Platform Generalist Certification:
The CDP exam tests your understanding of the different parts and structures of the Cloudera platform. This exam is open to anyone who wants to demonstrate their skills using various tools such as HDFS, Spark, Ozone, Kafka, Hue, etc.
Passing this exam proves you have the knowledge and skills needed for roles like data analyst, administrator, data scientist, data engineer, and system architect. These positions involve working with large datasets, managing data infrastructure, and developing data-driven solutions.
The certification you earn from passing the exam is valid for one year. After that, you must retake the exam to maintain your certification. This ensures that your skills and knowledge remain up-to-date with the latest advancements in the Cloudera platform and its tools.
In a Nutshell:
In the ever-evolving world of data science, staying ahead of the curve is essential. By obtaining a certification, you validate your skills and enhance your career prospects. Whether you are just starting or looking to advance, these top data science certifications can open doors to numerous opportunities and help you stand out in the competitive job market. Embrace the journey of continuous learning and professional growth, and let these certifications pave the way to your success in the dynamic field of data science.
