Top 10 Best Data Science courses and Computer Science courses on Coursera 2018


Top 10 Best Data Science &  Computer Science course on Coursera for professionals to enroll in 2018.Coursena Top Data Science and Computer Science Course Online

 

Coursera has provided online education to more than 25 million learners. Their courses offered by top international universities like the University of Pennsylvania, Michigan, Yale, Johns Hopkins; Princeton, Stanford University.
In 2016, they added more than 700 new courses and achieved the 100 millionth course enrollment.
In addition to hundreds of courses, Coursera offers Specializations — targeted sequences of courses in high-demand subject areas including data science, business foundations, digital marketing, and software engineering.

Each Specialization concludes with a final project often developed in collaboration with a corporate partner such as Google, Instagram, or Snapdeal.  Specializations focus on bringing success to professionals who seek timely, relevant education throughout their lives and careers.

Look toward 2017, the world is all about changing to automation, robotics and the internet of thing with Machine Learning, Artificial Intelligence, and Data Science. This is a great moment for us to pursue a new career, interest, or hobby by joining a course or Specialization on Coursera.

Here are the top Data Science &  Computer Science Courses and Specializations that were widely appreciated on Coursena.

Best Data Science Courses and Specializations

  1. Data Science (Johns Hopkins University)
  2. Machine Learning (University of Washington)
  3. Big Data (UC San Diego)

Best Computer Science Courses and Specializations

  1. Python for Everybody (University of Michigan)
  2. Functional Programming in Scala (EPFL)
  3. Full Stack Web Development (Hong Kong University of Science and Technology)

Best Business Courses and Specializations

  1. Business Analytics (The Wharton School, University of Pennsylvania)
  2. Excel to MySQL: Analytic Techniques for Business (Duke University)
  3. Business Foundations (The Wharton School, University of Pennsylvania)
  4. Digital Marketing (University of Illinois)