The Huge Role of Data Science in Artificial Intelligence and Machine Learning

Data science and big data analytics are gradually making waves with advanced technologies like artificial intelligence (AI), machine learning (ML), and deep learning.

Data science is essentially used to delve into huge datasets to extricate significant information.

The experiences that data analysts and scientists acquire from huge volumes of data remain the mystery responsible for the swift transformation of the world around us.

Companies and institutions across different divisions of the Industry are presently utilizing data science tools to control the changes driven by the recent innovations.

Truth be told, about 55% of organizations have implemented huge big data analytics in 2017, which is a huge development from 18% in 2015.

The Relationship and Application of Data Science and Artificial Intelligence

It remains clear how interrelated the fields of Artificial Intelligence, Machine Language and Data science already are.

While AI is an expansive shelter that incorporates an extensive variety of applications, ranging from content analysis to robotics, Machine Learning is a subset of Artificial Intelligence that spotlights on preparing machines how to ‘learn’ by means of advanced algorithms, carrying out specific functions while improving performance simultaneously.

Data science is defined as an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured”.

Data science has been very helpful in the transformation of the industrial scene by technologies Artificial Intelligence and Machine Learning.

Artificial intelligence is about making “intelligent and smart” machines, is dependent on Machine Language.

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Machine Learning, on the other hand, cannot work without analytics, which thusly cannot work without data infrastructure.

However, for AI to make a genuine effect, you require the correct data and a group of trained and experienced data science experts who know where and how to search and integrate data, Machine language and Artificial Intelligence tools.

Presently, the common AI smart assistants represent the ‘Narrow AI’ and can only perform limited tasks that have been exclusively assigned to them.

Hopefully, data scientists in the near future will be able to advance the algorithm of these assistants to perform more complex tasks with significantly more exactness than human beings.

Artificial Intelligence (AI) Learning

The continuous inclination of a majority of companies embracing data science to upgrade their organizational infrastructure keeps introducing more career opportunities like Machine language engineer, data analyst, scientists and data architects, et cetera.

It has been suggested that there is no better time to kick-off a career in data sciences, than now.

The numerous online data science programs and data science online courses are but just a few of the various resources available to assist you in getting started.

Lots of data scientists have successfully obtained Data science masters degrees, through the online data science masters programs that make it convenient for you to master data science concepts at your own pace.


Learn With GOOGLE AI

Learn with Google AI is a learning platform for individuals at all experience levels, that provides training resources from the machine learning specialists of Google.

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These resources are tutorials, accumulation of exercises, and Hands-on practices that assistance you begin getting the hang of, building, and critical thinking.

Fundamentals of Deep Learning for Computer Vision

Offered by Nvidia and Nvidia Deep learning Institute, and is completely free and open to everyone who is interested in Artificial Intelligence.

It is a hands-on course that provides deployment of neural networks and the fundamentals of deep learning.

  • Intro to AI

UC Berkeley offers this course that fits in perfectly for beginners who are quite unfamiliar with Artificial intelligence.

Knowing about Artificial Intelligence requires no prior computer knowledge, and UC Berkeley allows anyone to learn this course for free.

  • Artificial Intelligence: Principles and Techniques

Stanford University offers this course with good content that includes topics, videos, assignments, projects, and exams.

The entire course mainly focuses on the complex real-world problems and is suggested to be one of the best Artificial Intelligence programs for the beginners.

  • Deep Learning for Self-Driving Cars

This course offered by MIT, takes you into the adventure of Deep Learning with the applied theme of building Self-Driving cars.

However, the course also provides videos and slides for effective learning engagement.


  1. Data Science Specialization – Coursera
  2. Data Science Fundamentals – IBM
  3. Learning from Data – California Institute of Technology
  4.  Intro to Machine Learning – Udacity
  5.   Data-Driven Decision Making – Coursera
  6.   Data Science Essentials – EdX
  7. Become a Data Scientist – Dataquest
  8. Data Mining Course – KDNuggets


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