Intro to Big Data, Data Science and Artificial Intelligence (Udemy.com)

Big Data Technology & Tools for Non-Technical Leaders. Industry expert insights on IoT, AI and Machine Learning for all.

Created by: Julia Mariasova

Produced in 2021

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What you will learn

  • Examples of Big Data and Data Science in Practice (Healthcare, Logistics & Transportation, Manufacturing, and Real Estate & Property Management industries)
  • Big Data Definition and Data Sources. Why we need to be data and technology savvy.
  • Introduction to Data Science and Skillset required for working with Big Data
  • Technological Breakthroughs which Enable Big Data Solutions (Connectivity, Cloud, Open Source, Hadoop and NoSQL)
  • Big Data Technology Architecture and most popular technology tools used for each Architecture Layer
  • Beginner's Introduction to Data Analysis, Artificial Intelligence and Machine Learning
  • Simplified Overview of Machine Learning Algorithms and Neural Networks

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Quality Score

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Overall Score : 88 / 100

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Course Description

If you are like me - finding it difficult to read thick manuals with formulae, but still very much interested in modern technologies and their applications, then this course is for you.
You will learn about big data, Internet of Things (IoT), data science, big data technologies, artificial intelligence (AI), machine learning (ML)algorithms, neural networks, and why this could be relevant to you even if you don't have technology or data science background. Please note that this is NOTTECHNICALTRAININGand it does NOT teach Coding/Development or Statistics.
The course includes the interviews with industry experts that cover big data developments in Real Estate, Logistics & Transportation and Healthcare industries. You will learn how machine learning is used to predict engine failures, how artificial intelligence is used in anti-ageing, cancer treatment and clinical diagnosis, you will find out what technology is used in managing smart buildings and smart cities including Hudson Yards in New York. We have got fantastic guest speakers who are the experts in their areas:- WAEL ELRIFAI - Global VP of Solution Engineering - Big Data, IoT & AI at Hitachi Vantara with over 15 years of experience in the field of machine learning and IoT. Wael is also a Co-Authour of the book "The Future of IoT".- ED GODBER - Healthcare Strategist with over 20 years of experience in Healthcare, Pharmaceuticals and start-ups specialising in Artificial Intelligence.- YULIAPAK - Real Estate and Portfolio Strategy Consultant with over 12 years of experience in Commercial Real Estate advisory, currently working with clients who deploy IoTtechnologies to improve management of their real estate portfolio.
Hope you will enjoy the course and let me know in the comments of each section how I can improve the course!
Who this course is for:
Non-technical leaders and managersAnyone who is interested in big data, machine learning and artificial intelligenceProfessionals considering career switchPeople with technical background who want to gain insights in real life applications of data science skillsAnyone who works with coders, data engineers and data scientists and wants to learn basics about big data technology and toolsPeople without maths or computer science background, but who want to understand how Machine Learning algorithms work

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Instructor Details

Julia Mariasova

An enthusiastic management consultant, project, programme and change manager, media producer/director with 20 years of experience in financial services industry (operations and consulting) and 5 years of experience in media/video production industry (educational content and corporate communications).
Passionate about change, strategic development, operational transformation and learning new things. I have experience of working in both large corporate and start-up environments.
Masters in Banking and Finance. Qualified Management Accountant (CIMA). Certified in Filmmaking (London Film Academy).
I design my own training courses, and offer production services to other instructors/lecturers or organisations.

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Reviews

4.4

176 total reviews

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By Shah Ridzal Abdul Rahman on 11/7/2020

good exposure

By Rabi'ah Mustaffa on 9/26/2020

Learnt a lot of new things from the modules!

By Ali APAYDIN on 9/23/2020

I have been looking for a course without any pre-requisites and yet with a non-technical approach for the executives... So far, wonderful...

By Noradnin Hafeeza binti Haji Nawawi on 9/23/2020

-to put summary on the learnings
-instead of too many subchapter with 1,2,3 minutes each, I believe some of them can be combine e.g to become 5 or 10 minutes.

By Mustapha Farram on 9/21/2020

It combines a balance between an exhaustive 'practical expertise' and 'knowledge domains field integration'. Thank you for your professionalism, Clarity, and value-added by your Guest expert Speakers.

By KOI SWEE LING on 9/18/2020

very informative

By Siti Aishah Ali Noor Razak on 9/14/2020

A whole overview and easy to understand on big data subject

By Dian Helena Binti Mohd Ramli on 9/11/2020

This course is recommended for more than awareness level on data science and AI . Many new jargon for those who is outside from this field. Maybe can use animation to simplified things during the delivery of the speakers.

By Eliza Mohd Halil on 9/10/2020

good course ..

By Mohammad Baki Mansor on 9/8/2020

Very informative and easy to understand.

By Nawar Mohd Arif on 9/1/2020

Quite technical

By Muhamad Kamal Abdul Rahman on 8/27/2020

Very good training from experience personnel.
I feel the training materials/ handout need to be given for each element. Tqvm