Udemy

Intro to Big Data, Data Science and Artificial Intelligence

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  • 6,273 Students
  • Updated 1/2024
4.4
(2,513 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 27 Minute(s)
Language
English
Taught by
Julia Mariasova
Rating
4.4
(2,513 Ratings)

Course Overview

Intro to Big Data, Data Science and Artificial Intelligence

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

This course is designed for anyone who is new to big data projects, and would like to get better understanding what machine learning and artificial intelligence mean in practice. It is not a technical course, it does not involve coding, but it will make you feel confident when working in teams with data scientists and programmers. It will bring you up to speed with the data science, ML and AI terminology. 

The course is also designed for people who are generally interested in modern technologies and their applications - we have included case studies covering oil&gas predictive maintenance, use of AI in healthcare, application of sensor and other digital technologies  in buildings and construction, the role of machine learning in transport and logistics and many more.

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 NOT TECHNICAL TRAINING and it does NOT teach Coding/Development or Statistics, but it is suitable for technical professionals.  I am proud to say that this course was purchased by a large oil&gas company in Asia to educate their field engineers about machine learning as part of their digitalisation strategy.

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.

- YULIA PAK - Real Estate and Portfolio Strategy Consultant with over 12 years of experience in Commercial Real Estate advisory, currently working with clients who deploy IoT technologies 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!  Please follow me on social media (Shortlisted Productions) - you can find the links on my profile page - just click on my name at the bottom of the page just before the reviews.  And please check out my other courses on Climate Change.

Course Content

  • 10 section(s)
  • 80 lecture(s)
  • Section 1 Course overview and Introduction to big data
  • Section 2 Big Data in Practice - LOGISTICS & TRANSPORTATION
  • Section 3 Big Data in Practice - PREDICTIVE MAINTENANCE IN MANUFACTURING
  • Section 4 Big Data in Practice: REAL ESTATE & PROPERTY MANAGEMENT
  • Section 5 Big Data in Practice: HEALTHCARE
  • Section 6 Data Science and Required Skillset
  • Section 7 Introduction to Big Data Technologies
  • Section 8 Introduction to data analysis, Artificial Intelligence and Machine Learning
  • Section 9 Simplified Overview of Machine Learning Algorithms
  • Section 10 Introduction to Deep Learning and Neural Networks

What You’ll 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


Reviews

  • B
    Beate Ludescher
    5.0

    This was a really great intro. In a few hours I learnt more on the topic than in several "expert" discussion rounds before.

  • L
    Lea Puthumana
    4.5

    Speaker voice was crystal clear..Truly motivating and knowledgable

  • K
    Keshav Shukla
    5.0

    It was a great learning experience

  • S
    Satvik Chorge
    4.0

    Best course certification platform. I like the full presentation of each content! Every thing is understood.

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