Best Free Data Science Courses – Learn Data Science With Free Online Tutorials

Best Free Data Science Courses – Learn Data Science With Free Online Tutorials

Do you want to learn Data Science? Here we listed Best Free Data Science Courses which will help you learn Data Science, and are suitable for beginners, intermediate learners as well as experts.

What is Data Science ?

What you’ll learn

  • How to define Data Science ?
  • What are the components of Data Science ?
  • Entry level overview of Data Science components
Duration: 40min
Rating: 4.1 (975 ratings) out of 5
Trainer: Gopinath Ramakrishnan
URL: https://www.udemy.com/course/what-is-data-science/

Essentials of Data Science

What you’ll learn

  • Understand the concepts of Data Science
  • Identify different data types
  • Know the 3 essential fields that data science is made up of
Duration: 1hr 41min
Rating: 4.4 (662 ratings) out of 5
Trainer: Maximilian Schallwig
URL: https://www.udemy.com/course/essentials-of-data-science-in-90-minutes/

Data Science Ethics

What you’ll learn

  • This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data
  • You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems
Duration: Approx. 17 hours
Rating: 4.6 (139 ratings) out of 5
Trainer: H.V. Jagadish
URL: https://www.coursera.org/learn/data-science-ethics
Data Science: Machine Learning

What you’ll learn

  • The basics of machine learning
  • How to perform cross-validation to avoid overtraining
  • Several popular machine learning algorithms
  • How to build a recommendation system
  • What is regularization and why it is useful?
Duration: Approx. 17 hours
Trainer: Rafael Irizarry
URL: https://www.edx.org/course/data-science-machine-learning
IBM Data Science Professional Certificate

What you’ll learn

  • Create and access a database instance on cloud
  • Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE
  • Filter, sort, group results, use built-in functions, access multiple tables
  • Access databases from Jupyter using Python and work with real world datasets
Duration: Approx. 3 months {13 hours/week}
Rating: 4.6 (107,127 ratings) out of 5
Trainer: IBM
URL: https://www.coursera.org/professional-certificates/ibm-data-science
Applied Data Science with Python Specialization

What you’ll learn

  • Conduct an inferential statistical analysis
  • Discern whether a data visualization is good or bad
  • Enhance a data analysis with applied machine learning
  • Analyze the connectivity of a social network
Duration: Approx. 4 months {8 hours/week}
Rating: 4.6 (107,127 ratings) out of 5
Trainer: University of Michigan
URL: https://www.coursera.org/specializations/data-science-python
Data Science Specialization

What you’ll learn

  • Use R to clean, analyze, and visualize data.
  • Navigate the entire data science pipeline from data acquisition to publication.
  • Use GitHub to manage data science projects.
  • Perform regression analysis, least squares and inference using regression models.
Duration: Approx. 8 months {6 hours/week}
Rating: 4.5 (67,411 ratings) out of 5
Trainer: Johns Hopkins University
URL: https://www.coursera.org/specializations/jhu-data-science

 

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