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Data Science Essentials

10,000.00

( 0 Review )

Course Level

Intermediate

Total Hour

180h

Video Tutorials

12

Course content

180h

Month 1: Introduction to Data Science

Overview of data science and its applications
Understanding the data science workflow
Introduction to programming in Python
Data manipulation with Pandas

Month 2: Statistical Analysis and Machine Learning

Month 3: Data Visualization and Communication

About Course

Data Science is growing rapidly, creating opportunities for careers across a variety of fields. This specialization is designed for learners embarking on careers in Data Science. Learners are provided with a concise overview of the foundational mathematics that are critical in Data Science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. Expressway to Data Science is also an excellent primer for students preparing to complete CU Boulder’s Master of Science in Data Science program.

What Will You Learn?

  • Compute simple derivatives.
  • Convert between linear systems and matrix notation and use matrix algebra to solve linear systems.
  • Factor a simple matrix using Singular Value Decomposition (SVD).
  • Practice working with logarithm properties and how logarithm functions behave graphically.

Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

Instructor

AG
4.44 /5

78 Courses

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Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

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