Data science is a method of gaining insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. For most organizations, data science is employed to convert data into value, which includes improved revenue, lower costs, business agility, improved customer experience, development of new products and the like. Data science gives the data collected by an organization a purpose.
Data Science Specialization – Coursera
Coursera offers the longest established online data science education through John Hopkins University. It is not completely free – if you can afford it, you are expected to pay a course and certification fees – but it is waived for students who do not have the financial resources available. Comprised of 10 courses, the specialization R encompasses practical applications of statistical programming, cluster analysis, natural language processing, and machine learning. To complete the program, students create a data product that can be used to solve a real-world problem.
Data Science and Machine Learning Essentials – Microsoft (EdX)
This course, aimed at those wishing to improve their career prospects with a mixture of practical and theoretical knowledge, walks you through core concepts and terminology, creating statistical techniques and models such as regression, clustering, and classification and evaluating Practical steps required for. As it is a Microsoft course, its cloud-based components focus on the company’s Azure framework, but the concepts taught are equally applicable to organizations that are tied to competing frameworks such as AWS. It assumes a basic understanding of R or Python, which are the two most frequently used programming languages in data science.
Python for Data Science and Machine Learning Bootcamp — Udemy
A very reasonably priced course for the price. The instructor does an excellent job explaining the concepts of Python, visualization, and statistical learning required for all data science projects. A major benefit to this course over other enemy courses is assignments. During this time, you will work on and break Jupiter notebook workbooks to strengthen your understanding, then the instructor will explain each part thoroughly with a solution video.
Data Science Fundamentals- IBM
IBM offers a number of online courses through its portal, formerly known as Big Data University, and is now recognized as a cognitive class. The program includes Data Science 101, methodology, hands-on applications, programming in R, and open-source tools. Collectively they should take about 20 hours to complete, although those with prior experience of computer science will likely progress more quickly, while a full start may take a little longer.