CT Global

PeopleCert Data Science Foundation

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About Course

PeopleCert Data Science Foundation is a certification program designed to provide individuals with a solid understanding of the fundamental concepts and techniques in data science. This certification is ideal for professionals who are looking to start a career in data science or for those who want to enhance their knowledge and skills in the field. The certification covers various topics such as data analysis, statistical methods, machine learning, data visualization, and big data technologies. Participants will learn how to collect, clean, analyze, and interpret data to derive valuable insights and make data-driven decisions. The PeopleCert Data Science Foundation program typically includes training materials, online courses, and exams to assess participants\’ understanding of the subject matter. By earning this certification, individuals demonstrate their proficiency in essential data science concepts and tools, which can enhance their career prospects in various industries that rely on data analysis and interpretation.  

Course Outline  

Introduction to Data Science

  • Overview & Definitions
  • Key Concepts

 Programming Skills (with R/Python)

  • Introduction to Programming

Data Management

  • Relational Databases (RDBMS)
  • New Data Management Methods
  • Business Intelligence

Probability & Statistics

  • Introduction to Statistics
  • Introduction to Probability Theory

 Machine Learning (ML) and Artificial Intelligence (AI)

  • Introduction to Machine Learning

Visualization

  • Introduction to Visualization

Business Skills

  • Data Governance
  • Ethics, Data Privacy and Protection
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What Will You Learn?

  • Essential concepts and principles of data science
  • Techniques for data collection, cleaning, and preprocessing
  • Fundamentals of statistical analysis and hypothesis testing
  • Introduction to machine learning algorithms and models
  • Basics of data visualization for effective communication of insights
  • Understanding of big data technologies and tools
  • Practical skills for analyzing data and deriving meaningful insights
  • Application of data science methodologies in real-world scenarios
  • Importance of data ethics and privacy considerations in data science practice