Buy Now 200

Certified Data Science Professional(CDSP)

About Certification

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 also learners will be able t create data visualization techniques to present the data in a simple way and draw prediction based on them.

Certification Badge for Blockchain Architect
 

Objectives

  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 Audience

about-us

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

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

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

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

 

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


Download PDF

295 Turnpike Rd block 519, Westborough, MA 01581, USA
Hohenstieglen 6, 8152 Glattbrugg, Switzerland +41 41444851189
10 Anson Road #16-16 International Plaza, Singapore 079903