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Certified Data Science Professional(CDSP)


GSDC's Certified Data Science Professional gives the learners all aspects of data science with its core concepts. Data science has three basic pillars which are Statistics, Machine Learning, and Business Domain Knowledge. This professional-level qualification gives you to understand statistics, machine learning from the business perspective so you can drive your business with a data science approach.


Certified Data Science Professional knowledge gives understanding to learners of problem-solving with your data-driven and robust problem-solving solutions along with the foundations of data science. Also, learners will be able to create data visualization techniques to present the data in a simple way and draw prediction based on them.

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OBJECTIVES Of Data Science Certification

  1. To see the bigger picture of data science.
  2. Learn the relationship between statistics and data science.
  3. To create a roadmap of data science implementation.
  4. To enhance your business intelligence skills.
  5. To take your data analysis skills to the next level.

TARGET AUDIENCES For Data Science Certification


IT Professionals

Software Professionals

ITSM Professionals

Graduates who want to begin their career in Data Science.

Data analysis professionals

Anyone, who wants to gain their expertise in data science


BENEFITS of Data Science Certification

Showcase your expertise in the data science field.

Get hired easily.

Drive your organization towards success.

Analyze and deliver a data-driven solution for business problems.


PRE-REQUISITES For Data Science Certification

  • There are no particular pre-requisites for this certification.
  • Knowledge of business domains and data analysis will be beneficiary.

Data Science Certification EXAMINATION

Multiple-choice exam of 40 marks.
You need to acquire 26+ marks to clear the exam.
If you fail, free re-examination attempt with 30 days from the date of 1st exam attempt.


Sample Certificate


Data Science Certification EXAM SYLLABUS

  1. Data Science Introduction
  2. Probability and statistics for data science
  3. Working with Big Data
  4. Data extraction and visualization techniques
  5. Data Mining and Machine Learning
  6. A statistical approach for data science
  7. Text Mining & NLP
  8. Data Visualization using Tableau
  9. Forecasting/ Time Series or unsupervised approach

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The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for the emerging technologies:

  • Advisory board members and SMEs are from around the world, drawn from different specializations.
  • Supported by the world's most esteemed thought leaders from Yale, MIT, Stanford, Wharton, and Harvard.
  • Hub of Trending Technologies and framework certifications.
  • Content curated by Industry's best Subject matter experts.
  • Webinars and Conferences.
  • Training Partners Across The Globe.

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The Global Skill Development Council (GSDC) is an Independent, Vendor Neutral, International Credentialing and Certification Organization for Professionals.