Introduction to Data Science

Beginner 0(0 Ratings) 0 Students enrolled English
Created by Multiversity Admin
Last updated Wed, 25-Oct-2023
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Course overview

This course is designed to introduce students to the fundamental concepts of programming and provide hands-on experience with coding. It covers a range of topics, from the basics of programming languages to more advanced concepts. The course is divided into modules, each with specific learning outcomes.

Curriculum for this course
12 Lessons 00:00:00 Hours
Module 1: Introduction to Data Science
1 Lessons 00:00:00 Hours
  • Introduction to Data Science
    .
Module 2: Data Exploration and Preprocessing
1 Lessons 00:00:00 Hours
  • Data Exploration and Preprocessing
    .
Module 3: Statistical Analysis with Python
1 Lessons 00:00:00 Hours
  • Statistical Analysis with Python
    .
Module 4: Data Visualization and Communication
1 Lessons 00:00:00 Hours
  • Data Visualization and Communication
    .
Module 5: Machine Learning Fundamentals
1 Lessons 00:00:00 Hours
  • Machine Learning Fundamentals
    .
Module 6: Supervised Learning
1 Lessons 00:00:00 Hours
  • Supervised Learning
    .
Module 7: Unsupervised Learning
1 Lessons 00:00:00 Hours
  • Module 7: Unsupervised Learning
    .
Module 8: Big Data and Data Engineering
1 Lessons 00:00:00 Hours
  • Module 8: Big Data and Data Engineering
    .
Module 9: Deep Learning and Neural Networks
1 Lessons 00:00:00 Hours
  • Deep Learning and Neural Network
    .
Module 10: Advanced Topics in Data Science
1 Lessons 00:00:00 Hours
  • Advanced Topics in Data Science
    .
Module 11: Ethics and Responsible Data Science
1 Lessons 00:00:00 Hours
  • Ethics and Responsible Data Science
    .
Module 12: Capstone Project and Certification
1 Lessons 00:00:00 Hours
  • Capstone Project and Certification
    .
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Updated Sun, 08-Oct-2023
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Multiversity Admin

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