top 8 data science certifications

Upskill with Best Data Science Courses in India for 2022


Top MNCs are highly reliant on data and are ready to recruit data specialists who can make sense of the data the company obtains. Data science certifications are an excellent approach to obtain an advantage since they allow you to confirm your talents, letting recruiters know exactly what they’re receiving if they employ you. The following blog will provide you with Best Data Science Courses in India to Upskill for 2022!

Data science certificates are an excellent approach to obtain an advantage since they enable you to build abilities that are difficult to find in your preferred field. They’re also a technique for recruiters and hiring managers to authenticate your talents, so they know what they’re getting if they employ you.


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Many disciplines, such as economics, computer science, and some business sectors, cover data science subjects. A data science credential, on the other hand, will provide you a competitive advantage in the employment market. Fortunately, you can earn a data science credential without ever leaving your house.


Throughout this article, we will go over the following Data Science Certifications:




  1. Certified Analytics Professional (CAP)




  • Course Duration: Self Paced

  • Cost: INR 51876/-

  • Accreditation: CAP



CAP is an independent validation that you have superior knowledge of the entire analytics process – from business problem framing, analytics problem framing, data through to methodology selection and model building, deployment and lifecycle management. CAP enables you to easily convey to others that you have mastery of the analytics process.


Those who meet CAP’s high standards and pass the rigorous exam distinguish themselves and create greater opportunities for career enhancement. Unlike other certificates or certifications, CAP serves as a vendor- and technology-neutral testament to an analytics professional’s superior competency in the seven domains of analytics, providing organizations with a trusted means to identify, recruit, and retain top analytics talent.




Certified Analytics Professional (CAP) Requirements

  • 3 years of experience with MA/MS in related area

  • 5 years of experience with BA/BS in related area

  • 7 years of experience with any degree in unrelated analytics area


Recommended Reading to prepare for CAP certification: 





  1. Microsoft Certified: Azure Data Scientist Associate


  • Course Duration: Self paced

  • Accreditation: Microsoft

  • Price: INR 4800/-


The Azure Data Scientist Associate Microsoft Certification is next on the list. The Azure Data Scientist uses their data science and machine learning skills to develop and execute machine learning workloads on Azure Cloud Platform. You are specifically utilising the Azure Machine Learning Stack of Services in this case.

Microsoft’s Azure Data Scientist Associate certification focuses on your ability to develop and execute machine learning workloads on Azure. Candidates for the exam are examined on machine learning, AI solutions, natural language processing, computer vision, and predictive analytics. You must be proficient in resource deployment and management, identity and governance management, storage implementation and management, and virtual network configuration and management.

Microsoft Certified: Azure Data Scientist Associate Certification Requirements

  • There are no pre-requisites to begin the Microsoft Certified: Azure Data Scientist Associate.

  • However, to enroll for the Azure Data Scientist Associate Certification, Designing and Implementing a Data Science Solution on Azure Exam should be completed and passed.



Recommended book to prepare:





3. Post Graduate Program In Data Science – Purdue & SImplilearn



  • Course Duration: 12 Months

  • Accreditation: Purdue

  • Cost: INR 2,39,000/-


The PG in Data Science, in partnership with Purdue University & in collaboration with IBM. The program features masterclasses by Purdue faculty & IBM experts, exclusive hackathons, & Ask Me Anything sessions by IBM.

This Data Science program is ideal for all working professionals, covering job-critical topics like R, Python programming, Machine Learning algorithms, and NLP concepts, Data Visualization with Tableau in great detail via our interactive learning model with live sessions by global practitioners, practical labs, IBM Hackathons, and industry projects.



Post Graduate Program In Data Science – Purdue & SImplilearn Requirements


  • 2+ years of work experience preferred

  • A bachelor’s degree with an average of 50% or higher marks

  • Basic understanding of programming concepts and mathematics



Recommended Readings to prepare for PGDSC certification:




4. IBM Data Science Professional Certificate – Coursera




  • Course Duration: 12 Months

  • Accreditation: IBM

  • Cost: Free

The IBM Data Science Professional Certificate programme includes nine courses in data science, open source tools, data science methodology, Python, Databases and SQL, data analysis, data visualisation, machine learning, and a final practical data science capstone. The course is delivered online via Coursera with a flexible schedule and takes an average of three months to complete, however you are free to take more or less time. The course includes hands-on projects to help you construct a portfolio to demonstrate potential employers your data science skills.




IBM Data Science Professional Certificate  Requirements


  • There are no prerequisites for starting this Training.




Additional Reading to prepare for this  certification:




5. SAS® Certified Data Scientist



  • Course Duration: Self learning (12 months)

  • Accreditation: SAS.

  • Cost: INR 68000


The SAS® Certified Data Scientist credential is intended for those who can manipulate and obtain insights from large amounts of data. You may now build business suggestions using complicated machine learning models utilising a number of SAS and open source technologies, and then deploy models using the adaptable SAS environment.



Study guide to prepare for SAS certification:




6. Data Scientist – Udacity



  • Course Duration:  3 Months

  • Accreditation:Udacity

  • Cost: INR 78000/-


The Udacity Data Science Nanodegree is valuable for anyone exploring a career transition to Data Science.

Although Udacity Nanodegrees are neither recognised or approved by educational institutions, they are worldwide recognised, and companies like as Google, AT&T, Mercedes-Benz, and others have collaborated with the company.

You must be familiar with a few data science ideas and subjects before participating in or contemplating enrolling in this certification.

Udacity strives to give learners with the most comprehensive training possible, preparing them for any difficulties that may happen in the real world through coaching, projects, and individualised learning.


Program Requirements


The Data Scientist Nanodegree programme is a high-level curriculum that prepares students for positions as Data Scientists. As a result, before beginning the programme, students should be at ease with a wide range of topics.



Preparation material for this  certification:




7. HarvardX’s Data Science Professional Certificate








This Harvard Data Science Certification programme will teach you the essentials of data science, such as R and machine learning, via real-world case studies to help you get started in the area.
This comprehensive curriculum, which consists of nine courses, is one of the most highly ranked online master’s programmes available on edX, a well-known e-learning platform.
This programme includes R Basics, Data Visualization, Probability, Inference and Modeling, Productivity Tools, Data Wrangling, Linear Regression, Machine Learning, and a Capstone project.


Training Requirements

  • There are no prerequisites for starting this Training









8. Open Certified Data Scientist (Open CDS)



  • Course Duration: 4 Months 

  • Accreditation: Open Group


The Open Group Certified Data Scientist (Open CDS) certification was created in response to a need in the IT sector to validate that Data Scientist practitioners have the attributes and talents necessary to provide successful data analysis for overall company benefit.
Let’s have a look at the Requirements now.



Certification Requirements:


No test is necessary because certification is provided based on experience-based profile assessment by acknowledged industry experts in their respective fields.





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