Top Online Data Science Courses

What does Data Science mean?

Data science is a field that uses scientific methods and approaches to gain knowledge and insights from structured data, and apply knowledge across a wide range of application domains. It basically includes data mining, machine learning, and big data. It uses methods and principles which are derived from various fields such as computers, mathematics, statistics, and many more domains. Data scientists investigate what questions should be answered and where to find relevant data. In this article, we shall discuss the top online courses of Data Science which will help enhance our knowledge of the topic.

 

 

Some Online Courses are as follows:

 

Professional Certificate in Data Science from Harvard University (edX)

 

Harvard University’s Online Data Science course is available through edX. It gives a thorough knowledge of fundamental data science concepts through various case studies and implementing them in the real world. It gives an exposure to become familiar with some important tools such as Unix/Linux, git and GitHub, and RStudio.This online data science course lasts from 2 to 4 months. It consists of nine graduate-level courses taught by Harvard professors and is delivered entirely online for a fraction of the cost of a typical college, making it very accessible, inexpensive, and convenient.

 

This course contains:

• Fundamental R programming skills
• Statistical concepts such as probability, inference, and modeling 
• Knowledge about essential tools such as Unix/Linux, git and GitHub, and RStudio
• Machine learning algorithms

Duration: 9 courses in 1 year 5 months

 

 

Applied Data Science with Python Specialization by University of Michigan (Coursera)

This course covers 5 courses from the University of Michigan that introduce data science through the Python programming language. This specialization is basically for beginners with basic Python programming knowledge and can be used for machine learning. To apply techniques. Learn NLTK and NetworkX to gain insight into your data.

 

 

Skills that can be gained:

• Text Mining
• Python Programming
• Pandas
• Matplotlib
• Numpy
• Data Cleansing
• Data Virtualization
• Data Visualization (DataViz)
• Machine Learning (ML) Algorithms

Duration: 5 months

 

 

 

MicroMasters Program in Statistics and Data Science from MIT (edX)

The MIT Institute for Data, Systems, and Society (IDSS) has launched a data science program offered by edX. It analyzes large data and makes data-based estimates through potential modeling and statistical inference and assists in identifying and implementing appropriate modeling and methodologies to gather meaningful information for decision making.

 

This course contains:

• Foundations of Data Science, Machine Learning and statistics
• Learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks
• Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference

Duration: 5 courses in 1 year 2 months

 

 

 

Data Science Specialization from Johns Hopkins University (Coursera)

This data science specialization is a 10-course outline of the ideas and tools you will need in your data science work effort to make valid inquiries, monitor data index, demonstrate your findings, and set expectations. 

 

 

This course helps learn:

• R programming language
• Use GitHub to manage data science projects.
• Data Manipulation

Duration: 11 months

 

 

 

Machine Learning Certification by Stanford University (Coursera)

This course covers the knowledgeable machine learning techniques and the ways through which they can be applied in the real world. It is totally an online course with completely flexible hours. Various methods of data mining and their usage can be learned more effectively.

 

Enhancing skills of topics:

• Logistic Regression
• Artificial Neural Network
• Machine Learning (ML) Algorithms
• Machine Learning

Duration: 61 hours

 

The Data Science Course 202w: Complete Data Science Bootcamp (Udemy)

The course provides the knowledge to become a Data Scientist. Udemy acts as a medium to learn Data Science in one of the most effective and structured ways through this course. Data Science Basics, Statistics, Mathematics (Calculus and Linear Algebra), Python Programming with Pandas, Specialized Statistical Analysis and more.

 

 

This course helps learn:

• Linear and logistic regressions in Python
• Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels, and sci-kit-learn
• Mathematics behind Machine Learning

Duration: 29.5 hours

 

 

 

Data Science MicroMasters Certification by the University of California, San Diego (edX)

In this Micromasters program, you will develop a comprehensive understanding of the mathematical and computational tools underlying data science and how to use those tools to make data-based business recommendations. You will learn how to collect, clean, and analyze large data using popular open-source software. When combined with skill in a particular type of business, it makes you the most desirable employee.

 

 

The course helps learn:

• How to make reliable statistical inferences from noisy data
• How to use machine learning to learn models for data
• How to visualize complex data

Duration: 10 months

 

 

Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)

This course deals with master Machine Learning on Python & R programming language. It builds an army of powerful machine learning models and learns how to mix them to solve any problem.

 

 

The course contents are:

• Master Machine Learning on Python & R
• Have a great intuition of many Machine Learning models
• Make accurate predictions
• Make powerful analysis
• Make robust Machine Learning models
• Create strong added value to your business