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Elio Masciari
This course is devoted to beginners and practitioners of Big Data and AI fields. It will be a quick overview of some basic concepts that could be further elaborated by professionals. Ranging from CAP theorem to Turing assumption, we will provide a starting guide for diving in these fascinating topics.
Register for this course and see more details by visiting:
OpenCourser.com/course/7u26hf/a
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What's inside
Syllabus
Big data basics
Getting familiar with the following key concepts by attending the lessons and answering basic queries
Hadoop
Getting familiar with the following paradigms by attending the lessons and writing small pieces of programs
Read more
Syllabus
Big data basics
Getting familiar with the following key concepts by attending the lessons and answering basic queries
Hadoop
Getting familiar with the following paradigms by attending the lessons and writing small pieces of programs
Read more
Hadoop Tools
Getting familiar with the following tools by attending the lessons and solving small case studies
NoSQL Systems and AI
Getting familiar with the No SQL paradigm and AI building blocks by attending the lessons and designing basic solutions
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a starting guide for diving into Big Data and AI fields, suitable for beginners and practitioners
Develops basic concepts, helping learners grasp the fundamentals of the topics
Covers the Hadoop paradigm, allowing learners to write small programs and become familiar with the tools
Explores NoSQL systems and AI building blocks, enhancing learners' understanding of these emerging technologies
Teaches basic concepts, providing a foundation for learners to pursue further exploration
Suitable for beginners, offering a gentle introduction to Big Data and AI topics
Save this course
Save A quick tour on Big Data and Business Intelligence to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in A quick tour on Big Data and Business Intelligence with these
activities:
Compile a glossary of Big Data and AI terms
Show steps
Enhance your comprehension of Big Data and AI vocabulary by creating a comprehensive glossary of key terms
Browse courses on
Terminology
Show steps
-
Gather definitions of important terms from course materials, textbooks, and online sources
-
Organize the terms into an accessible glossary, either digitally or physically
Big Data Fundamentals Quiz
Show steps
Test and strengthen your understanding of Big Data fundamentals.
Browse courses on
Big Data
Show steps
-
Take a Big Data fundamentals quiz.
-
Review your results and focus on areas where you need improvement.
Mentor a novice in data science or AI
Show steps
Solidify your understanding of data science and AI concepts by sharing your knowledge and guiding others
Browse courses on
Mentorship
Show steps
-
Identify opportunities to mentor someone who is new to data science or AI
-
Provide guidance, support, and feedback on their learning journey
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Review probability basics
Show steps
Refresh foundational knowledge of probability theory to strengthen your understanding of big data and AI concepts
Browse courses on
Probability
Show steps
-
Review basic probability concepts such as sample spaces, events, and probability distributions
-
Practice solving probability problems using Bayes' theorem and conditional probability
Spark SQL Tutorial
Show steps
Reinforce your understanding of Spark SQL by following a comprehensive tutorial.
Browse courses on
Spark
Show steps
-
Follow the official Apache Spark SQL tutorial.
-
Work through the hands-on exercises provided in the tutorial.
Big Data Project with a Non-Profit
Show steps
Apply your Big Data knowledge to solve real-world problems and support a good cause.
Browse courses on
Big Data
Show steps
-
Identify a non-profit organization that has a need for Big Data expertise.
-
Propose a project that you can complete to meet their data analysis needs.
-
Work with the non-profit to implement the project.
AI Summit
Show steps
Expand your knowledge of AI by attending an industry-leading summit.
Browse courses on
AI
Show steps
-
Register for an AI summit that aligns with your interests.
-
Attend the summit and actively participate in sessions and networking opportunities.
Explore tutorials on Apache Hadoop
Show steps
Enhance your understanding of Hadoop by following structured tutorials and implementing concepts in a practical setting
Browse courses on
Apache Hadoop
Show steps
-
Identify reputable tutorials on Hadoop fundamentals
-
Follow the tutorials step-by-step, setting up Hadoop on your local machine
-
Complete exercises and build small Hadoop programs
Join a study group for AI algorithms
Show steps
Enhance your understanding of AI algorithms by engaging in discussions, problem-solving, and knowledge-sharing with peers
Browse courses on
AI Algorithms
Show steps
-
Identify or create a study group with fellow students or colleagues
-
Establish regular meeting times to discuss course material, algorithms, and concepts
Hadoop MapReduce Job
Show steps
Solidify your grasp of Hadoop MapReduce by creating your own MapReduce job.
Browse courses on
Hadoop
Show steps
-
Identify a real-world problem that can be solved using Hadoop MapReduce.
-
Design your MapReduce job, including the mapper and reducer functions.
-
Implement your MapReduce job using a suitable programming language.
-
Run your MapReduce job on a Hadoop cluster.
Develop a presentation on Big Data applications
Show steps
Consolidate your knowledge of Big Data by researching and presenting on its practical applications in various industries
Browse courses on
Big Data Applications
Show steps
-
Research and identify specific industries where Big Data has a significant impact
-
Gather case studies and examples of successful Big Data implementations
-
Create a presentation that showcases the benefits, challenges, and real-world examples
Kaggle Big Data Competition
Show steps
Put your Big Data and AI skills to the test by participating in a Kaggle competition.
Browse courses on
Big Data
Show steps
-
Identify a Kaggle competition that aligns with your interests.
-
Team up with fellow students or work independently to develop a solution.
-
Submit your solution to the competition.
Solve NoSQL data modeling challenges
Show steps
Reinforce your grasp of NoSQL data modeling principles by tackling real-world data modeling scenarios
Browse courses on
Database Design
Show steps
-
Find online resources or platforms that provide NoSQL data modeling exercises
-
Select a data modeling challenge and analyze the requirements
-
Design a NoSQL data model that meets the challenge's specifications
Contribute to an open-source AI project
Show steps
Apply your knowledge and make a meaningful contribution to the field of AI by volunteering on an open-source project
Browse courses on
Community Involvement
Show steps
-
Research and identify open-source AI projects that align with your interests
-
Contact the project maintainers and express your desire to contribute
-
Review the project codebase, documentation, and contribution guidelines
Compile a glossary of Big Data and AI terms
Show steps
Enhance your comprehension of Big Data and AI vocabulary by creating a comprehensive glossary of key terms
Browse courses on
Terminology
Show steps
Show steps
Show steps
- Gather definitions of important terms from course materials, textbooks, and online sources
- Organize the terms into an accessible glossary, either digitally or physically
Big Data Fundamentals Quiz
Show steps
Test and strengthen your understanding of Big Data fundamentals.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Take a Big Data fundamentals quiz.
- Review your results and focus on areas where you need improvement.
Mentor a novice in data science or AI
Show steps
Solidify your understanding of data science and AI concepts by sharing your knowledge and guiding others
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Identify opportunities to mentor someone who is new to data science or AI
- Provide guidance, support, and feedback on their learning journey
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Review probability basics
Show steps
Refresh foundational knowledge of probability theory to strengthen your understanding of big data and AI concepts
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review basic probability concepts such as sample spaces, events, and probability distributions
- Practice solving probability problems using Bayes' theorem and conditional probability
Spark SQL Tutorial
Show steps
Reinforce your understanding of Spark SQL by following a comprehensive tutorial.
Browse courses on
Spark
Show steps
Show steps
Show steps
- Follow the official Apache Spark SQL tutorial.
- Work through the hands-on exercises provided in the tutorial.
Big Data Project with a Non-Profit
Show steps
Apply your Big Data knowledge to solve real-world problems and support a good cause.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Identify a non-profit organization that has a need for Big Data expertise.
- Propose a project that you can complete to meet their data analysis needs.
- Work with the non-profit to implement the project.
AI Summit
Show steps
Expand your knowledge of AI by attending an industry-leading summit.
Browse courses on
AI
Show steps
Show steps
Show steps
- Register for an AI summit that aligns with your interests.
- Attend the summit and actively participate in sessions and networking opportunities.
Explore tutorials on Apache Hadoop
Show steps
Enhance your understanding of Hadoop by following structured tutorials and implementing concepts in a practical setting
Browse courses on
Apache Hadoop
Show steps
Show steps
Show steps
- Identify reputable tutorials on Hadoop fundamentals
- Follow the tutorials step-by-step, setting up Hadoop on your local machine
- Complete exercises and build small Hadoop programs
Join a study group for AI algorithms
Show steps
Enhance your understanding of AI algorithms by engaging in discussions, problem-solving, and knowledge-sharing with peers
Browse courses on
AI Algorithms
Show steps
Show steps
Show steps
- Identify or create a study group with fellow students or colleagues
- Establish regular meeting times to discuss course material, algorithms, and concepts
Hadoop MapReduce Job
Show steps
Solidify your grasp of Hadoop MapReduce by creating your own MapReduce job.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Identify a real-world problem that can be solved using Hadoop MapReduce.
- Design your MapReduce job, including the mapper and reducer functions.
- Implement your MapReduce job using a suitable programming language.
- Run your MapReduce job on a Hadoop cluster.
Develop a presentation on Big Data applications
Show steps
Consolidate your knowledge of Big Data by researching and presenting on its practical applications in various industries
Browse courses on
Big Data Applications
Show steps
Show steps
Show steps
- Research and identify specific industries where Big Data has a significant impact
- Gather case studies and examples of successful Big Data implementations
- Create a presentation that showcases the benefits, challenges, and real-world examples
Kaggle Big Data Competition
Show steps
Put your Big Data and AI skills to the test by participating in a Kaggle competition.
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Identify a Kaggle competition that aligns with your interests.
- Team up with fellow students or work independently to develop a solution.
- Submit your solution to the competition.
Solve NoSQL data modeling challenges
Show steps
Reinforce your grasp of NoSQL data modeling principles by tackling real-world data modeling scenarios
Browse courses on
Database Design
Show steps
Show steps
Show steps
- Find online resources or platforms that provide NoSQL data modeling exercises
- Select a data modeling challenge and analyze the requirements
- Design a NoSQL data model that meets the challenge's specifications
Contribute to an open-source AI project
Show steps
Apply your knowledge and make a meaningful contribution to the field of AI by volunteering on an open-source project
Browse courses on
Community Involvement
Show steps
Show steps
Show steps
- Research and identify open-source AI projects that align with your interests
- Contact the project maintainers and express your desire to contribute
- Review the project codebase, documentation, and contribution guidelines
Career center
Learners who complete A quick tour on Big Data and Business Intelligence will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines, ensuring that data is collected, processed, and stored efficiently. This course, with its coverage of Hadoop Tools and NoSQL Systems, may be useful for those aspiring to become Data Engineers.
Big Data Engineer
Big Data Engineer
Big Data Engineers design and manage Big Data systems, ensuring efficient and reliable data storage and processing. This course may be useful for those looking to become Big Data Engineers, as it provides an understanding of Big Data basics, Hadoop, and NoSQL Systems.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course, with its overview of Big Data basics and AI building blocks, may be useful for those seeking to become Data Analysts.
Big Data Analyst
Big Data Analyst
A Big Data Analyst focuses on examining large and complex data sets using advanced analytics techniques to uncover patterns and insights. This course, with its overview of Big Data basics, Hadoop, and NoSQL Systems, may be useful for professionals looking to enter this field by providing a foundation in core concepts.
Data Architect
Data Architect
Data Architects design and manage data systems, ensuring that data is accessible, reliable, and secure. This course may be useful for those looking to become Data Architects, as it provides an overview of Big Data and NoSQL Systems.
Data Scientist
Data Scientist
Data Scientists leverage advanced statistical and machine learning methods to extract meaningful insights from data, often for business intelligence purposes. This course can help those aspiring to become Data Scientists by providing an understanding of Big Data and AI building blocks.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data analysis and visualization tools to help businesses make informed decisions. This course can be useful for those seeking to become Business Intelligence Analysts, as it provides an overview of Big Data and business intelligence.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and implement AI systems. This course, with its coverage of AI building blocks and NoSQL Systems, may be useful for those aspiring to become Artificial Intelligence Engineers.
Database Architect
Database Architect
Database Architects design and manage database systems, ensuring that data is accessible, reliable, and scalable. This course, with its coverage of NoSQL Systems, AI, and Hadoop, may be useful for those looking to become Database Architects.
IT Manager
IT Manager
IT Managers plan and manage information technology systems, ensuring that they meet the needs of the business. This course may be useful for those looking to become IT Managers, as it provides an overview of Big Data and business intelligence.
Chief Technology Officer (CTO)
Chief Technology Officer (CTO)
Chief Technology Officers (CTOs) are responsible for the overall technology strategy and direction of an organization. This course may be useful for those looking to become CTOs, as it provides a broad overview of Big Data and business intelligence.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for those looking to become Information Security Analysts, as it provides an overview of Big Data and AI, which are increasingly being used in information security.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases, ensuring data integrity and availability. This course may be helpful for aspiring Database Administrators by providing an understanding of Big Data and NoSQL Systems.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for those interested in becoming Software Engineers, as it provides an overview of Big Data and AI, which are increasingly being used in software development.
Information Systems Manager
Information Systems Manager
Information Systems Managers plan and manage information systems, ensuring that they meet the needs of the business. This course may be useful for those looking to become Information Systems Managers, as it provides an overview of Big Data and business intelligence.
For more career information including salaries, visit:
OpenCourser.com/course/7u26hf/a
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
A quick tour on Big Data and Business Intelligence.
Hadoop serves as a valuable reference for learning about Hadoop and other related technologies. It is commonly used in academic institutions and industry for its comprehensiveness on the topic.
Save
Comprehensive reference for deep learning techniques and algorithms.
Provides a comprehensive overview of statistical natural language processing techniques.
Widely-used textbook that provides a comprehensive overview of speech and language processing.
Save
Offers a comprehensive introduction to computer vision algorithms and applications.
Useful reference tool for individuals interested in learning about the strategic planning and enterprise integration aspects of big data analytics.
Serves as a comprehensive guide to dimensional modeling, a key concept in data warehousing.
Data Science for Business provides a comprehensive overview of data science techniques and their applications in business contexts.
Provides a practical guide to using MapReduce for text processing.
Provides practical guidance on how to build a big data architecture.
Save
Offers a concise introduction to NoSQL databases.
Provides a gentle introduction to the concepts and algorithms of machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7u26hf/a
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Effort
4 weeks
Level
Introductory
Via
Coursera
Institution
Università di Napoli Federico II
Instructor
Elio Masciari
Language
English
This course belongs to a
collection
called
Autonomous Vehicle Engineering. It's comprised of three courses:
- A quick tour on Big Data and Business Intelligence (viewing)
- Modelling and simulation of mechanical systems
- Autonomous Aerospace Systems
Good to know
Provides a starting guide for diving into Big Data and AI fields, suitable for beginners and practitioners
Develops basic concepts, helping learners grasp the fundamentals of the topics
Covers the Hadoop paradigm, allowing learners to write small programs and become familiar with the tools
Explores NoSQL systems and AI building blocks, enhancing learners' understanding of these emerging technologies
Teaches basic concepts, providing a foundation for learners to pursue further exploration
Suitable for beginners, offering a gentle introduction to Big Data and AI topics
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