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Xavier Morera
Big Data is the present and the future. It enables you to make informed decisions and predictions based on insights obtained from your data. In this course you will learn why big data matters, how it is changing the world, and what you can do about it.
Read more
Big Data is the present and the future. It enables you to make informed decisions and predictions based on insights obtained from your data. In this course you will learn why big data matters, how it is changing the world, and what you can do about it.
Read more
Big Data is the present and the future. It enables you to make informed decisions and predictions based on insights obtained from your data. In this course you will learn why big data matters, how it is changing the world, and what you can do about it.
Making business decisions is a serious matter that must be done based on insights obtained from data—the more data the merrier. In this course, Big Data: Executive Briefing, you will be exposed to a high level overview of why big data matters to your organization. First, you will learn why making business decisions based on insights from large amounts of data matters so much for businesses. Next, you will explore what big data is, including the different types of big data. Finally, you will discover some of the platforms and projects that are available to process big data. When you’re finished with this course, you’ll have the knowledge required to identify how big data can be leveraged within your company to gain insights that can give you a competitive advantage.
Register for this course and see more details by visiting:
OpenCourser.com/course/60kflp/big
What's inside
Syllabus
Big Data: Why It Matters and How It's Changing the World
Understanding Big Data
Big Data for Your Business
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Xavier Morera, a seasoned instructor in Big Data
Develops fundamentals and advanced practices in Big Data technology
Useful for professionals in data science, analytics, and business intelligence
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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 Big Data: Executive Briefing with these
activities:
Review key concepts from previous courses related to data analysis and data management
Show steps
Refresh your understanding of fundamental concepts to enhance your ability to grasp big data concepts
Browse courses on
Data Analysis
Show steps
-
Review notes or materials from previous courses to recall key concepts in data analysis and data management
-
Complete practice exercises or quizzes to test your understanding
-
Identify any areas where you need to strengthen your knowledge and seek additional resources
Brush up on basic statistics and probability concepts
Show steps
Ensure a solid foundation in statistics and probability to support your understanding of big data analysis
Browse courses on
Statistics
Show steps
-
Review key concepts in statistics, such as mean, median, standard deviation, and hypothesis testing
-
Practice solving probability problems related to data analysis and interpretation
-
Apply these concepts to small-scale datasets to gain practical experience
Review and compile relevant course notes, articles, and industry reports on big data
Show steps
Reinforce your understanding by actively organizing and reviewing key course materials and industry insights
Browse courses on
Knowledge Management
Show steps
-
Gather all relevant course materials, including notes, slides, assignments, and supplemental readings
-
Locate and download articles and industry reports that expand on the course topics
-
Organize the materials into a logical and accessible format, using folders or note-taking apps
-
Regularly review the compiled materials to refresh your knowledge and identify areas for further exploration
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group or online forum to discuss big data concepts and emerging trends
Show steps
Engage in peer-to-peer learning, exchange ideas, and stay updated on the latest advancements in big data
Browse courses on
Networking
Show steps
-
Identify and join online forums or study groups related to big data
-
Actively participate in discussions, asking questions and sharing insights
-
Collaborate with peers on projects or case studies
-
Attend virtual or in-person meetups to connect with industry professionals
Read and summarize 'Big Data: A Revolution That Will Transform How We Live, Work, and Think' by Viktor Mayer-Schönberger and Kenneth Cukier
Show steps
Build a conceptual foundation in big data by exploring the foundational ideas laid out in 'Big Data: A Revolution That Will Transform How We Live, Work, and Think'
View
Reinventing Capitalism in the Age of Big Data
on Amazon
Show steps
-
Read the book thoroughly, taking notes as you go
-
Summarize each chapter in your own words
-
Identify the key concepts and applications of big data discussed in the book
-
Discuss your insights and understanding with a peer or mentor
Develop a presentation on a case study where big data was successfully used
Show steps
Explore real-world applications of big data and showcase the impact and insights it provides
Browse courses on
Big Data Applications
Show steps
-
Research and identify a case study of successful big data implementation
-
Analyze the case study, focusing on the data sources, techniques used, and outcomes achieved
-
Create a visually appealing and informative presentation that effectively communicates the key findings
-
Present the case study to peers or industry professionals for feedback
Solve coding challenges on LeetCode related to big data concepts
Show steps
Sharpen your problem-solving skills and apply big data concepts to real-world scenarios
Browse courses on
Big Data Analysis
Show steps
-
Identify LeetCode problems that align with big data concepts
-
Solve the problems using appropriate big data techniques
-
Review and analyze your solutions for efficiency and accuracy
Review key concepts from previous courses related to data analysis and data management
Show steps
Refresh your understanding of fundamental concepts to enhance your ability to grasp big data concepts
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review notes or materials from previous courses to recall key concepts in data analysis and data management
- Complete practice exercises or quizzes to test your understanding
- Identify any areas where you need to strengthen your knowledge and seek additional resources
Brush up on basic statistics and probability concepts
Show steps
Ensure a solid foundation in statistics and probability to support your understanding of big data analysis
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review key concepts in statistics, such as mean, median, standard deviation, and hypothesis testing
- Practice solving probability problems related to data analysis and interpretation
- Apply these concepts to small-scale datasets to gain practical experience
Review and compile relevant course notes, articles, and industry reports on big data
Show steps
Reinforce your understanding by actively organizing and reviewing key course materials and industry insights
Browse courses on
Knowledge Management
Show steps
Show steps
Show steps
- Gather all relevant course materials, including notes, slides, assignments, and supplemental readings
- Locate and download articles and industry reports that expand on the course topics
- Organize the materials into a logical and accessible format, using folders or note-taking apps
- Regularly review the compiled materials to refresh your knowledge and identify areas for further exploration
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group or online forum to discuss big data concepts and emerging trends
Show steps
Engage in peer-to-peer learning, exchange ideas, and stay updated on the latest advancements in big data
Browse courses on
Networking
Show steps
Show steps
Show steps
- Identify and join online forums or study groups related to big data
- Actively participate in discussions, asking questions and sharing insights
- Collaborate with peers on projects or case studies
- Attend virtual or in-person meetups to connect with industry professionals
Read and summarize 'Big Data: A Revolution That Will Transform How We Live, Work, and Think' by Viktor Mayer-Schönberger and Kenneth Cukier
Show steps
Build a conceptual foundation in big data by exploring the foundational ideas laid out in 'Big Data: A Revolution That Will Transform How We Live, Work, and Think'
View
Reinventing Capitalism in the Age of Big Data
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly, taking notes as you go
- Summarize each chapter in your own words
- Identify the key concepts and applications of big data discussed in the book
- Discuss your insights and understanding with a peer or mentor
Develop a presentation on a case study where big data was successfully used
Show steps
Explore real-world applications of big data and showcase the impact and insights it provides
Browse courses on
Big Data Applications
Show steps
Show steps
Show steps
- Research and identify a case study of successful big data implementation
- Analyze the case study, focusing on the data sources, techniques used, and outcomes achieved
- Create a visually appealing and informative presentation that effectively communicates the key findings
- Present the case study to peers or industry professionals for feedback
Solve coding challenges on LeetCode related to big data concepts
Show steps
Sharpen your problem-solving skills and apply big data concepts to real-world scenarios
Browse courses on
Big Data Analysis
Show steps
Show steps
Show steps
- Identify LeetCode problems that align with big data concepts
- Solve the problems using appropriate big data techniques
- Review and analyze your solutions for efficiency and accuracy
Career center
Learners who complete Big Data: Executive Briefing will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists play a crucial role in today's data-driven business landscape. They leverage large amounts of data to extract valuable insights that inform decision-making and drive innovation. Big Data: Executive Briefing provides a comprehensive overview of big data fundamentals, empowering you with the knowledge to navigate the complexities of big data and harness its potential within your organization. Understanding the concepts and applications covered in this course will equip you with a competitive edge as a Data Scientist.
Data Analyst
Data Analyst
Data Analysts are in high demand due to the increasing importance of data-driven decision-making. They specialize in collecting, cleaning, and analyzing data to uncover hidden patterns and trends. Big Data: Executive Briefing equips you with a solid foundation in big data concepts, including its different types and how to process it effectively, which are essential skills for success as a Data Analyst.
Data Architect
Data Architect
Data Architects play a critical role in designing and managing the infrastructure that supports big data. They ensure data is stored, managed, and processed efficiently to meet the growing demands of organizations. Big Data: Executive Briefing provides valuable insights into big data platforms and projects, enabling you to understand the technical aspects of big data management and make informed decisions as a Data Architect.
Big Data Engineer
Big Data Engineer
Big Data Engineers are responsible for developing and maintaining the systems that handle large volumes of data. They work closely with Data Scientists and Data Analysts to ensure the efficient storage, processing, and retrieval of data. Big Data: Executive Briefing provides a high-level understanding of big data fundamentals, giving you the foundation to excel as a Big Data Engineer.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts leverage data to provide insights that support business decisions. They analyze data to identify trends, patterns, and opportunities, helping organizations gain a competitive advantage. Big Data: Executive Briefing equips you with the knowledge to identify how big data can be leveraged within your company to gain insights that can drive decision-making and improve performance.
Statistician
Statistician
Statisticians apply mathematical and statistical techniques to analyze and interpret data. They work in various industries, including finance, healthcare, and research. Big Data: Executive Briefing provides a high-level overview of big data concepts, including data types and processing methods, which can complement your statistical skills and enhance your ability to analyze and interpret big data effectively.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models to solve complex business problems. They work with Data Scientists and Data Engineers to implement and deploy machine learning solutions. Big Data: Executive Briefing provides a foundational understanding of big data, including its types and processing methods, which is beneficial for Machine Learning Engineers who need to work with and process large datasets.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists ensure the consistent and ethical use of data throughout an organization. They develop and implement policies and procedures to manage data effectively. Big Data: Executive Briefing equips you with a high-level understanding of big data, including its challenges and implications, which is essential for effectively managing and governing big data within an organization.
Chief Data Officer
Chief Data Officer
Chief Data Officers are responsible for overseeing an organization's data strategy and ensuring the effective use of data across the enterprise. They work closely with senior management to make data-driven decisions and drive innovation. Big Data: Executive Briefing provides a comprehensive overview of big data, including its benefits and challenges, which is crucial for Chief Data Officers to understand and effectively lead their organizations in the data-driven era.
Product Manager
Product Manager
Product Managers are responsible for defining and managing the development of a product. They work with engineers, designers, and marketers to bring products to market that meet customer needs. Big Data: Executive Briefing provides a high-level understanding of big data concepts, including its potential and challenges, which can be valuable for Product Managers who need to incorporate data-driven insights into product development and decision-making.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand customer behavior and optimize marketing campaigns. They work with marketers to develop and implement data-driven strategies that drive growth. Big Data: Executive Briefing provides foundational knowledge of big data fundamentals, including its types and processing methods, which can enhance your ability to analyze and interpret large datasets in the context of marketing.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions and provide financial advice. They work with companies, individuals, and institutions to analyze financial performance and make recommendations. Big Data: Executive Briefing provides a high-level overview of big data, including its potential and challenges, which can be valuable for Financial Analysts who need to incorporate data-driven insights into their financial analysis and decision-making.
Operations Analyst
Operations Analyst
Operations Analysts use data to improve the efficiency and effectiveness of business operations. They work with operations managers to identify and solve problems, and to optimize processes. Big Data: Executive Briefing provides foundational knowledge of big data fundamentals, including its potential and challenges, which can be valuable for Operations Analysts who need to analyze and interpret large datasets in the context of business operations.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks faced by organizations. They work with risk managers to develop and implement strategies to mitigate risks. Big Data: Executive Briefing provides a foundational understanding of big data fundamentals, including its types and processing methods, which can enhance your ability to analyze and interpret large datasets in the context of risk.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists use data visualization tools to create visual representations of data. They work with data analysts and scientists to communicate insights and trends in a clear and concise way. Big Data: Executive Briefing provides a foundational understanding of big data concepts, including its potential and challenges, which can be valuable for Data Visualization Specialists who need to effectively represent and communicate big data insights.
For more career information including salaries, visit:
OpenCourser.com/course/60kflp/big
Reading list
We've selected ten 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
Big Data: Executive Briefing.
Save
Provides a comprehensive overview of big data, its potential, and its implications for society. It good starting point for anyone who wants to learn more about big data.
Save
Provides a comprehensive overview of deep learning. It valuable resource for anyone who wants to learn more about deep learning and its applications.
Provides a comprehensive overview of reinforcement learning. It valuable resource for anyone who wants to learn more about reinforcement learning and its applications.
Provides a comprehensive overview of deep learning for natural language processing. It valuable resource for anyone who wants to learn more about deep learning for natural language processing and its applications.
Provides a comprehensive overview of natural language processing. It valuable resource for anyone who wants to learn more about natural language processing and its applications.
Save
Provides a comprehensive overview of computer vision. It valuable resource for anyone who wants to learn more about computer vision and its applications.
Provides a practical introduction to data science and its applications in business. It valuable resource for anyone who wants to learn how to use data to make better decisions.
Provides a comprehensive overview of cloud computing. It valuable resource for anyone who wants to learn more about cloud computing and its applications.
Provides a practical introduction to machine learning. It good starting point for anyone who wants to learn more about machine learning and its applications.
Provides a gentle introduction to machine learning. It good starting point for anyone who wants to learn more about machine learning and its applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/60kflp/big
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Time
25 hours
Level
Introductory
Via
Pluralsight
Instructor
Xavier Morera
Language
English
Good to know
Taught by Xavier Morera, a seasoned instructor in Big Data
Develops fundamentals and advanced practices in Big Data technology
Useful for professionals in data science, analytics, and business intelligence
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