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Hear from Pluralsight EVP of Channels and Services, Chris Oliver, about the latest from Pluralsight One, and how strategically developing the talent pool by embracing alternative career pathways may be the key to unlocking your team's potential.

Hear from Pluralsight EVP of Channels and Services, Chris Oliver, about the latest from Pluralsight One, and how strategically developing the talent pool by embracing alternative career pathways may be the key to unlocking your team's potential.

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What's inside

Syllabus

Pluralsight One Keynote

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Invites speakers who are recognized for their work in relevant fields
Examines latest developments in the industry
May help identify new pathways toward talent development
Relevant for those interested in talent development

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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 Establishing a Data Access Infrastructure as a Power BI Admin with these activities:
Review Organizational Strategy
Expand your understanding of the core concepts of organizational strategy through a focused review prior to this course.
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  • Consider the key frameworks and models of organizational strategy, e.g., Porter's Five Forces, SWOT analysis.
  • Reflect on real-world examples of successful organizational strategies.
  • Identify the potential challenges and opportunities for different organizational strategies.
Network with Professionals in the Field
Expand your professional network by connecting with individuals working in the field of organizational strategy.
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  • Attend industry events and social gatherings.
  • Introduce yourself to professionals and initiate conversations.
  • Follow up with connections on LinkedIn or other professional platforms.
Gather Industry-Specific Examples
Enhance your understanding of the practical applications of organizational strategy by compiling industry-specific examples.
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  • Identify reputable sources for case studies and articles related to organizational strategy.
  • Read and analyze selected examples, taking notes on key insights and lessons learned.
  • Organize your findings into a structured compilation, e.g., a document or digital repository.
Five other activities
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Discuss Strategy Case Studies
Engage with peers to analyze organizational strategy case studies and share diverse perspectives.
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  • Form a small study group with classmates enrolled in the course.
  • Select relevant case studies that align with the course content.
  • Facilitate discussions, encourage active participation, and exchange insights.
Attend Industry Conferences or Workshops
Gain valuable insights and stay current with industry trends by participating in industry conferences or workshops related to organizational strategy.
Show steps
  • Identify industry events that align with your learning goals.
  • Register and actively participate in sessions and discussions.
  • Connect with professionals and learn about emerging trends.
Complete Strategy Simulations or Exercises
Develop your decision-making skills by participating in simulation or exercises that test your strategic thinking.
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  • Engage with interactive online simulations or exercises.
  • Make strategic decisions and observe the consequences.
  • Reflect on the outcomes and identify areas for improvement.
Contribute to Open-Source Projects
Practice your strategic thinking by contributing to real-world projects and engaging with the open-source community.
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  • Identify open-source projects related to organizational strategy.
  • Review the project documentation and identify areas where you can contribute.
  • Collaborate with other developers and mentors to execute your contributions.
Develop a Strategic Plan Proposal
Demonstrate your understanding of organizational strategy by creating a comprehensive strategic plan for a real-world organization.
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  • Identify an organization of interest and conduct a thorough analysis.
  • Develop a strategic plan that addresses the organization's challenges and opportunities.
  • Present your proposal to a panel of peers or experts for feedback.

Career center

Learners who complete Establishing a Data Access Infrastructure as a Power BI Admin will develop knowledge and skills that may be useful to these careers:
Data Warehouse Architect
A Data Warehouse Architect is responsible for the design and implementation of data warehouses. This course will help you build a foundation in data access infrastructure, which is essential for designing and implementing data warehouses. You will learn about different data storage options, data security best practices, and data access control. This knowledge will help you to design and implement data warehouses that are reliable, scalable, and secure.
Data Architect
A Data Architect is responsible for the design and implementation of data architectures. This course will help you build a foundation in data access infrastructure, which is essential for designing and implementing data architectures. You will learn about different data storage options, data security best practices, and data access control. This knowledge will help you to design and implement data architectures that are reliable, scalable, and secure.
Database Administrator
A Database Administrator is responsible for the design, implementation, and maintenance of databases. This course will help you build a foundation in data access infrastructure, which is essential for designing and implementing databases. You will learn about different data storage options, data security best practices, and data access control. This knowledge will help you to design and implement databases that are reliable, scalable, and secure.
Data Engineer
A Data Engineer is responsible for designing, building, maintaining, and managing data pipelines and infrastructure to support data-driven decision-making. This course will help you build a foundation in data access infrastructure, which is essential for designing and implementing data pipelines. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to develop and maintain data pipelines that are reliable, scalable, and secure.
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course will help you build a foundation in data access infrastructure, which is essential for collecting and accessing data from various sources. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to collect and access data in a efficient and secure manner.
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for collecting, analyzing, and interpreting data to identify business trends and opportunities. This course will help you build a foundation in data access infrastructure, which is essential for collecting and accessing data from various sources. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to collect and access data in a efficient and secure manner.
Data Scientist
A Data Scientist is responsible for developing and applying machine learning and statistical models to data to solve business problems. This course will help you build a foundation in data access infrastructure, which is essential for accessing and managing the large datasets that are typically used in data science. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to develop and apply machine learning and statistical models to data in a efficient and secure manner.
Security Engineer
A Security Engineer is responsible for the design, implementation, and maintenance of computer security systems. This course may be useful for Security Engineers who are working on data-driven security systems. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to design and implement data-driven security systems that are reliable, scalable, and secure.
Network Engineer
A Network Engineer is responsible for the design, implementation, and maintenance of computer networks. This course may be useful for Network Engineers who are working on data-driven networks. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to design and implement data-driven networks that are reliable, scalable, and secure.
Software Engineer
A Software Engineer is responsible for the design, development, and maintenance of software applications. This course may be useful for Software Engineers who are working on data-driven applications. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to develop data-driven applications that are reliable, scalable, and secure.
Systems Engineer
A Systems Engineer is responsible for the design, implementation, and maintenance of computer systems. This course may be useful for Systems Engineers who are working on data-driven systems. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to design and implement data-driven systems that are reliable, scalable, and secure.
Cloud Engineer
A Cloud Engineer is responsible for the design, implementation, and maintenance of cloud computing systems. This course may be useful for Cloud Engineers who are working on data-driven cloud applications. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to design and implement data-driven cloud applications that are reliable, scalable, and secure.
Project Manager
A Project Manager is responsible for the planning, execution, and closure of projects. This course may be useful for Project Managers who are working on data-driven projects. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to plan and execute data-driven projects that are successful.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. This course may be useful for Business Analysts who are working on data-driven projects. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to analyze business processes and identify opportunities for improvement using data.
Data Ethics Consultant
A Data Ethics Consultant is responsible for advising organizations on the ethical implications of their use of data. This course may be useful for Data Ethics Consultants who are working with organizations that use data in their operations. You will learn about different data sources, data storage options, and data security best practices. This knowledge will help you to advise organizations on the ethical use of data.

Reading list

We've selected six 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 Establishing a Data Access Infrastructure as a Power BI Admin.
For managers and those who need a business's perspective on data analytics, this book offers a managerial perspective on analytics to learn how to make better use of business intelligence in decision-making and operations.
"Data Warehousing" widely-used textbook by Kimball, a pioneer in data warehousing, and valuable resource for understanding data warehousing fundamentals, methodologies, and best practices.
"Modern Data Warehousing" focuses on modern data warehousing techniques and tools, particularly in the cloud, with an emphasis on agility, scalability, and cost-effectiveness.
"Advanced Analytics with Spark" is helpful for those seeking to advance their analytical skills by leveraging the Apache Spark framework for data analytics and machine learning.
Is useful for those new to Python's Pandas library or those looking to expand their skills in data analysis and manipulation using Pandas.
Another foundational work by Ralph Kimball, this book provides a comprehensive guide to dimensional modeling, a fundamental concept in data warehousing and business intelligence.

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