Showing posts with label Online courses. Show all posts
Showing posts with label Online courses. Show all posts

Monday, 20 July 2020

Online professional certificate course in Data Science from Harvard University

Data Science online course by Harvard University


Course benefits
  • Fundamental R programming skills
  • Statistical concepts such as probability, inference, and modeling and how to apply them in practice
  • Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
  • Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio
  • Implement machine learning algorithms
  • In-depth knowledge of fundamental data science concepts through motivating real-world case studies
Advantages:

ience
HarvardX

What you will learn

  • Fundamental R programming skills
  • Statistical concepts such as probability, inference, and modeling and how to apply them in practice
  • Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
  • Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio
  • Implement machine learning 
Duration : 17 months

Online course on computer science from Harvard University

Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.


  • Length:
    12 Weeks 

  • Effort:
  • 6–18 hours per week  

  • Institution
  • Harvard university

  • Level:
  • Introductory

  • Language:
  • English

  • Course Type:
  • Self-paced on your time

An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming.

Beneficial information

Shipwreck more tragic than Titanic

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