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Pluralsight LIVE
Watch industry thought leaders present on the LIVE 2018 mainstage.
Watch some of the best technologists in the world share their wisdom in front of an audience of thousands and prepare to feel seriously energized about the future.
Register for this course and see more details by visiting:
OpenCourser.com/course/h8uffa/pluralsight
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What's inside
Syllabus
Aaron Skonnard: Pluralsight CEO
Brendan Dawe: Data Visualization Artist
Thomas Kurian: President of Product Development at Oracle
Nate Walkingshaw: Pluralsight CXO on New Platform Features
Read more
Syllabus
Aaron Skonnard: Pluralsight CEO
Brendan Dawe: Data Visualization Artist
Thomas Kurian: President of Product Development at Oracle
Nate Walkingshaw: Pluralsight CXO on New Platform Features
Read more
Jaime Teevan: Chief Scientist at Microsoft
Scott Dorsey: Managing Partner at High Alpha
Ben Galbraith and Dion Almaer from Google
Cyril Perducat: Head of Global Strategy and IoT Execution at Schneider Electric
Karenann Terrell: Chief Digital and Technology Officer at GSK
Pluralsight One Announcements
Cody Sanford: EVP and CIO at T-Mobile
Heike Laube: VP and CLO at SAP
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines all things technology from top thinkers, which is standard in industry
Features industry leaders, which adds prestige
Taught by Brendan Dawe, who is recognized for their work in data visualization
Save this course
Save Pluralsight LIVE 2018: Mainstage 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 Pluralsight LIVE 2018: Mainstage with these
activities:
Review Data Visualization Tools
Show steps
Review and practice using data visualization tools to strengthen understanding and proficiency.
Browse courses on
Data Visualization
Show steps
-
Select two to three data visualization tools to review (e.g., Tableau, Power BI, Google Data Studio).
-
Create a sample dataset and practice creating different types of visualizations (e.g., charts, graphs, maps).
-
Explore tutorials and documentation to learn about advanced features and techniques.
Follow Thought Leader Tutorials on AI
Show steps
Engage with industry experts by following their tutorials to enhance understanding and gain practical insights.
Browse courses on
Artificial Intelligence
Show steps
-
Identify thought leaders in the field of AI (e.g., Andrew Ng, Yoshua Bengio, Geoffrey Hinton).
-
Search for tutorials and courses created by these experts on platforms like Coursera, edX, or Pluralsight.
-
Follow the tutorials, complete exercises, and apply the concepts.
Join a Study Group or Forum
Show steps
Connect with peers, share knowledge, and gain diverse perspectives to support comprehension.
Show steps
-
Search for study groups or online forums specific to data science and AI.
-
Join a group that aligns with your interests and learning goals.
-
Participate in discussions, ask questions, and share your insights.
-
Collaborate on projects or study sessions.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve Data Science and AI Coding Challenges
Show steps
Strengthen your problem-solving skills and improve your understanding of data science and AI concepts.
Browse courses on
Data Science
Show steps
-
Join online coding challenge platforms (e.g., LeetCode, HackerRank).
-
Select challenges related to data science and AI algorithms.
-
Attempt to solve the challenges using appropriate programming languages.
-
Analyze solutions, identify patterns, and learn from your mistakes.
Attend Industry Conferences and Meetups
Show steps
Network with professionals, learn about industry trends, and explore potential collaborations.
Show steps
-
Identify upcoming industry conferences and meetups related to data science and AI.
-
Register and attend the events.
-
Engage with speakers, attendees, and recruiters.
Mentor Junior Data Scientists or AI Enthusiasts
Show steps
Share your knowledge and experience by mentoring others, reinforcing your understanding and contributing to the community.
Browse courses on
Data Science
Show steps
-
Identify opportunities to mentor junior data scientists or AI enthusiasts (e.g., through online forums, meetups, or university programs).
-
Provide guidance on technical concepts, industry best practices, and career development.
-
Review and provide feedback on their projects or assignments.
Develop a Data Visualization Portfolio
Show steps
Showcase your proficiency by creating a portfolio of data visualizations that demonstrate your skills and creativity.
Browse courses on
Data Visualization
Show steps
-
Collect a variety of datasets on topics that interest you.
-
Select and use appropriate data visualization tools to create different types of visualizations.
-
Document your process, including data cleaning, analysis, and visualization techniques.
-
Share your portfolio online and seek feedback from experts.
Develop a Data-Driven Solution to a Business Problem
Show steps
Apply your knowledge to solve a real-world problem by analyzing data, building models, and presenting insights.
Browse courses on
Data Science
Show steps
-
Identify a business problem that can be addressed using data.
-
Collect and clean relevant data.
-
Analyze the data using appropriate techniques (e.g., statistical analysis, machine learning).
-
Develop a data-driven solution to the problem.
-
Present your findings and recommendations to stakeholders.
Review Data Visualization Tools
Show steps
Review and practice using data visualization tools to strengthen understanding and proficiency.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Select two to three data visualization tools to review (e.g., Tableau, Power BI, Google Data Studio).
- Create a sample dataset and practice creating different types of visualizations (e.g., charts, graphs, maps).
- Explore tutorials and documentation to learn about advanced features and techniques.
Follow Thought Leader Tutorials on AI
Show steps
Engage with industry experts by following their tutorials to enhance understanding and gain practical insights.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Identify thought leaders in the field of AI (e.g., Andrew Ng, Yoshua Bengio, Geoffrey Hinton).
- Search for tutorials and courses created by these experts on platforms like Coursera, edX, or Pluralsight.
- Follow the tutorials, complete exercises, and apply the concepts.
Join a Study Group or Forum
Show steps
Connect with peers, share knowledge, and gain diverse perspectives to support comprehension.
Show steps
Show steps
Show steps
- Search for study groups or online forums specific to data science and AI.
- Join a group that aligns with your interests and learning goals.
- Participate in discussions, ask questions, and share your insights.
- Collaborate on projects or study sessions.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve Data Science and AI Coding Challenges
Show steps
Strengthen your problem-solving skills and improve your understanding of data science and AI concepts.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Join online coding challenge platforms (e.g., LeetCode, HackerRank).
- Select challenges related to data science and AI algorithms.
- Attempt to solve the challenges using appropriate programming languages.
- Analyze solutions, identify patterns, and learn from your mistakes.
Attend Industry Conferences and Meetups
Show steps
Network with professionals, learn about industry trends, and explore potential collaborations.
Show steps
Show steps
Show steps
- Identify upcoming industry conferences and meetups related to data science and AI.
- Register and attend the events.
- Engage with speakers, attendees, and recruiters.
Mentor Junior Data Scientists or AI Enthusiasts
Show steps
Share your knowledge and experience by mentoring others, reinforcing your understanding and contributing to the community.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior data scientists or AI enthusiasts (e.g., through online forums, meetups, or university programs).
- Provide guidance on technical concepts, industry best practices, and career development.
- Review and provide feedback on their projects or assignments.
Develop a Data Visualization Portfolio
Show steps
Showcase your proficiency by creating a portfolio of data visualizations that demonstrate your skills and creativity.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Collect a variety of datasets on topics that interest you.
- Select and use appropriate data visualization tools to create different types of visualizations.
- Document your process, including data cleaning, analysis, and visualization techniques.
- Share your portfolio online and seek feedback from experts.
Develop a Data-Driven Solution to a Business Problem
Show steps
Apply your knowledge to solve a real-world problem by analyzing data, building models, and presenting insights.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify a business problem that can be addressed using data.
- Collect and clean relevant data.
- Analyze the data using appropriate techniques (e.g., statistical analysis, machine learning).
- Develop a data-driven solution to the problem.
- Present your findings and recommendations to stakeholders.
Career center
Learners who complete Pluralsight LIVE 2018: Mainstage will develop knowledge and skills
that may be useful to these careers:
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. They work with businesses to determine the best ways to use cloud computing to meet their needs, and they oversee the implementation and maintenance of cloud solutions. This course will help Cloud Architects by providing them with the latest insights on cloud computing best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Software Architect
Software Architect
A Software Architect designs and maintains the software systems used by a company. They work closely with developers to ensure that the software is efficient, reliable, and secure. This course will help Software Architects by providing them with the latest insights on software development best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They work with a variety of data sources, including structured and unstructured data, to develop models and algorithms that can be used to predict future outcomes or make recommendations. This course will help Data Scientists by providing them with the latest insights on data science best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
DevOps Engineer
DevOps Engineer
DevOps Engineers work with developers and IT operations teams to ensure that software is delivered quickly and efficiently. They automate the software development and deployment process, and they work to improve the collaboration between developers and IT operations teams. This course will help DevOps Engineers by providing them with the latest insights on DevOps best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Mobile Developer
Mobile Developer
Mobile Developers design and develop mobile applications. They work with a variety of programming languages and technologies to create apps that are efficient, reliable, and user-friendly. This course will help Mobile Developers by providing them with the latest insights on mobile development best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Front-End Developer
Front-End Developer
Front End Developers are responsible for the user interface of software systems. They work with designers to create the look and feel of the software, and they ensure that the interface is easy to use and efficient. This course will help Front End Developers by providing them with the latest insights on design best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Product Manager
Product Manager
Product Managers are responsible for the development and marketing of software products. They work with engineers, designers, and marketing teams to ensure that products meet the needs of customers. This course will help Product Managers by providing them with the latest insights on product management best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Full-Stack Developer
Full-Stack Developer
Full Stack Developers are responsible for the entire software development process, from design to deployment. They work on both the front end and back end of software systems, and they need to have a strong understanding of both programming and design principles. This course will help Full Stack Developers by providing them with the latest insights on software development best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Back-End Developer
Back-End Developer
Back End Developers are responsible for the logic and data processing of software systems. They work with databases and servers to store and manage data, and they develop the algorithms that make software systems work. This course will help Back End Developers by providing them with the latest insights on software development best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
IT Consultant
IT Consultant
IT Consultants provide advice and guidance to businesses on how to use technology to meet their needs. They work with businesses to develop IT strategies, implement IT solutions, and manage IT systems. This course will help IT Consultants by providing them with the latest insights on IT best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Business Analyst
Business Analyst
Business Analysts work with businesses to understand their needs and develop solutions that meet those needs. They gather requirements, analyze data, and develop business plans. This course will help Business Analysts by providing them with the latest insights on business analysis best practices and trends. It will also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. They work with a variety of data sources, including structured and unstructured data, to develop models and algorithms that can be used to predict future outcomes or make recommendations. This course may be useful for Data Analysts by providing them with the latest insights on data analysis best practices and trends. It may also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Technical Writer
Technical Writer
Technical Writers create documentation for software products. They work with engineers and designers to create user manuals, help files, and other documentation that helps users learn how to use software products. This course may be useful for Technical Writers by providing them with the latest insights on technical writing best practices and trends. It may also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
User Experience Designer
User Experience Designer
User Experience Designers design the user interface of software products. They work with designers and engineers to create user interfaces that are easy to use and efficient. This course may be useful for User Experience Designers by providing them with the latest insights on user experience design best practices and trends. It may also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
Software Tester
Software Tester
Software Testers are responsible for testing software to ensure that it is free of defects. They work with developers to find and fix bugs, and they write test cases to ensure that software is working as expected. This course may be useful for Software Testers by providing them with the latest insights on software testing best practices and trends. It may also help them to build a network of relationships with other professionals in the field and stay up-to-date on the latest technologies.
For more career information including salaries, visit:
OpenCourser.com/course/h8uffa/pluralsight
Reading list
We've selected 14 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
Pluralsight LIVE 2018: Mainstage.
Save
Comprehensive guide to data visualization. It covers the basics of data visualization, such as choosing the right chart type and using color effectively. It also provides more advanced techniques, such as creating interactive visualizations and using data to tell a story.
Practical guide to storytelling with data. It shows you how to use data to create clear and compelling presentations that will engage your audience. It also provides tips on how to use data to make better decisions.
Save
Comprehensive guide to deep learning. It covers the basics of deep learning, such as neural networks and convolutional neural networks. It also provides more advanced topics, such as generative adversarial networks and recurrent neural networks.
Comprehensive guide to reinforcement learning. It covers the basics of reinforcement learning, such as Markov decision processes and value functions. It also provides more advanced topics, such as deep reinforcement learning and multi-agent reinforcement learning.
Save
Comprehensive guide to computer vision. It covers the basics of computer vision, such as image formation and feature extraction. It also provides more advanced topics, such as object recognition and tracking.
Comprehensive guide to natural language processing with Python. It covers the basics of natural language processing, such as tokenization and stemming. It also provides more advanced topics, such as machine translation and text classification.
Save
Comprehensive guide to speech and language processing. It covers the basics of speech and language processing, such as acoustics and phonetics. It also provides more advanced topics, such as automatic speech recognition and natural language understanding.
Comprehensive guide to information retrieval. It covers the basics of information retrieval, such as indexing and search algorithms. It also provides more advanced topics, such as web search and social media mining.
Comprehensive guide to database systems. It covers the basics of database systems, such as data models and query languages. It also provides more advanced topics, such as transaction processing and data warehousing.
Comprehensive guide to operating systems. It covers the basics of operating systems, such as processes and memory management. It also provides more advanced topics, such as virtual memory and file systems.
Comprehensive guide to computer architecture. It covers the basics of computer architecture, such as instruction sets and pipelining. It also provides more advanced topics, such as multicore processors and cloud computing.
Save
Comprehensive guide to algorithms. It covers the basics of algorithms, such as searching and sorting. It also provides more advanced topics, such as graph algorithms and dynamic programming.
Comprehensive guide to computer programming. It covers the basics of computer programming, such as data structures and algorithms. It also provides more advanced topics, such as software engineering and computer architecture.
Save
Comprehensive guide to the theory of computation. It covers the basics of the theory of computation, such as automata and computability. It also provides more advanced topics, such as complexity theory and cryptography.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/h8uffa/pluralsight
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Time
243 hours
Level
Introductory
Via
Pluralsight
Instructor
Pluralsight LIVE
Language
English
This course belongs to a
collection
called
Pluralsight LIVE 2018. It's comprised of nine courses:
- Pluralsight LIVE 2018: Mainstage (viewing)
- Pluralsight LIVE 2018: Get Your Geek On (Data & Analytics)
- Pluralsight LIVE 2018: Get Your Geek On (Design)
- Pluralsight LIVE 2018: Get Your Geek On (IT Operations)
- Pluralsight LIVE 2018: Get Your Geek On (Leadership/Business Strategy)
- Pluralsight LIVE 2018: Get Your Geek On (Security)
- Pluralsight LIVE 2018: Get Your Geek On (Software Development)
- Pluralsight LIVE 2018: Level-up Your Leadership
- Pluralsight LIVE 2018: Power to the Platform
Good to know
Examines all things technology from top thinkers, which is standard in industry
Features industry leaders, which adds prestige
Taught by Brendan Dawe, who is recognized for their work in data visualization
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