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Accenture Teaching Staff

Welcome to the course Understanding Technology and Data.

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Welcome to the course Understanding Technology and Data.

This course is designed to provide a foundation on how technology and data are applied in everyday life. It will help you learn to succeed in a digital work environment. By the end of this course, you will be able to:

- Recognize the evolution of electronic devices

- Identify new technologies in different industries

- Define technologies such as cloud, Artificial Intelligence, blockchain, etc.

- Recognize what digitalization is and how it affects daily life

- Recognize the basics of a computer, including its different parts and security features

- Define coding

- Identify the key features of JavaScript

- Identify the key features of Python

- Recognize how to interpret data

This course is divided into four modules: Understanding Technology, Technology at Work, Exploring Coding, and Discovering Data.

Module one, Understanding Technology, explores the basics of technology and its evolution, and sheds light on the trajectory of technological development. You will learn about digital technologies and their growing application in different industries. You will also learn how automation is not only benefitting the workplace but also growing in significance at home. Cloud, blockchain, and Artificial Intelligence are trending technologies that you will explore in this module.

Module two, Technology at Work, will continue to build your digital literacy. You will learn the basics of computers and the Internet, and how they are used in the workplace. You will be introduced to techniques for working more efficiently and communicating virtually, including some handy tips for using email. You will also learn how to secure your data.

In module three, Exploring Coding, you will be introduced to the world of coding and some key programming languages, such as JavaScript and Python. You will learn about different career options in programming, such as web development, app development, and software development.

Module four, Discovering Data, will help you understand ways to collect and interpret data, and how it is deployed to make critical decisions. You will learn about different techniques for data interpretation and how to use Excel functions to work with data more easily.

This is a foundational course, intended for learners who are new to technology and data and who want to prepare for an increasingly digital working world. No specific prior experience is required for taking this course.

Copyright © 2023 Accenture. All rights reserved. Accenture and its logo are registered trademarks of Accenture.

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What's inside

Syllabus

Understanding Technology
This module explores the basics of technology and the history and future of technological development. It also provides an overview of a few specific technologies that are commonly used today.
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Technology at Work
This module will Improve your digital literacy. You will learn about computers and the internet, and how they are used in the workplace. You will also learn how to work efficiently and communicate virtually.
Exploring Coding
This module provides an overview of coding and an introduction to key programming languages.
Discovering Data
This module explores ways to collect and interpret data, and how it can be used to guide decision-making.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational understanding of technology and its contribution to personal and professional pursuits
Taught by Accenture Teaching Staff, who are recognized for their work in technology and data
Examines practical applications of technology in various industries
Builds a solid foundation in key programming languages, such as JavaScript and Python
Emphasizes data interpretation and analysis, which are essential skills in today's data-driven world
Requires no prior experience in technology or data, making it accessible to learners of all levels

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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 Understanding Technology and Data with these activities:
Review basic math concepts
Refresh foundational math skills, such as algebra and trigonometry, to enhance comprehension of data analysis and interpretation concepts in the course.
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  • Review online tutorials or articles on basic math concepts.
  • Practice solving math problems related to the course material.
  • Take a practice quiz or test on basic math concepts to assess your understanding.
Review basic computer concepts
Solidify understanding of basic computer concepts, such as hardware and software components, to enhance comprehension of the course material.
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  • Review online tutorials or articles on computer fundamentals.
  • Read through introductory chapters of a computer science textbook.
  • Take a practice quiz or test on basic computer concepts to assess your understanding.
Compile a glossary of key terms
Create a comprehensive glossary of key terms encountered in the course, fostering better understanding and retention of concepts.
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  • Maintain a notebook or digital document to record key terms and their definitions.
  • Review course materials, including lectures, readings, and assignments, to identify key terms.
  • Seek clarification from the instructor or peers on terms that are unclear.
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Participate in online discussion forums
Engage with peers in online discussions to exchange ideas, clarify concepts, and gain diverse perspectives on the course material.
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  • Join online discussion forums or groups related to the course topics.
  • Actively participate in discussions by asking questions, sharing insights, and responding to others.
  • Collaborate with peers on projects or assignments to enhance understanding and teamwork.
Explore online coding tutorials
Gain hands-on experience with coding through guided tutorials, reinforcing the concepts introduced in the course modules.
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  • Identify reputable online platforms or courses that offer coding tutorials.
  • Choose a specific programming language, such as Python or JavaScript.
  • Follow the instructions and practice the exercises provided in the tutorials.
  • Troubleshoot any errors or issues you encounter during the coding exercises.
Solve coding practice problems
Sharpen coding skills and reinforce problem-solving abilities by practicing coding problems on platforms like LeetCode or HackerRank.
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  • Identify reputable online platforms or websites that offer coding practice problems.
  • Choose a specific area or topic to focus on, such as data structures or algorithms.
  • Solve coding problems of varying difficulty levels to improve your skills.
Explore data analysis tools and techniques
Gain hands-on experience with data analysis tools and techniques through guided tutorials, reinforcing the concepts introduced in the course modules.
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  • Identify reputable online platforms or courses that offer data analysis tutorials.
  • Choose a specific tool or platform, such as Python with Pandas or R with ggplot2.
  • Follow the instructions and practice the exercises provided in the tutorials.
  • Troubleshoot any errors or issues you encounter during the data analysis exercises.
Develop a data visualization project
Apply the principles of data visualization to create a meaningful representation of data, demonstrating comprehension and practical application of the course material.
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  • Gather and analyze data relevant to a specific topic or question.
  • Choose an appropriate data visualization tool or platform.
  • Design and create a data visualization that effectively communicates the insights derived from the data.
  • Share your visualization with others for feedback and insights.

Career center

Learners who complete Understanding Technology and Data will develop knowledge and skills that may be useful to these careers:
Software Engineer
Software Engineers analyze user needs and design, build, test, deploy, and maintain software applications. This course can provide an introduction to the foundational coding skills that can help to build a foundation for becoming a Software Engineer. You will learn about JavaScript and Python including key features of each. You will also learn how to interpret and work with data using Excel - all skills which will be critical to your success as a new or established Software Engineer.
Data Analyst
Data Analysts collect, clean, and interpret data to help businesses understand their customers, improve their operations, and make better decisions. This course will help you build a foundation in the collection and interpretation of data, which can be hugely beneficial in preparing for a career as a Data Analyst. You will also learn about JavaScript and Python including key features of each. You will also learn how to interpret and work with data using Excel - all skills which will be critical to your success as a new or established Data Analyst.
Data Scientist
Data Scientists may either work with the organization's internal data, or with the large pools of public sector data that are increasingly available. Understanding Technology and Data will help build a foundation in the collection and interpretation of data. This will serve as a great base for further study towards becoming a Data Scientist, or for transitioning to a role from another background. As you will learn in Understanding Technology and Data, Data Scientists can use data to guide decision-making, and with the global data landscape growing at an incredible pace, there is a high demand for skilled professionals who have such a foundation.
Web Developer
Web Developers translate designs into functional websites, ensuring that the user interface (UI) is easy to use and visually appealing. This course will benefit an aspiring Web Developer by providing foundational knowledge of coding, JavaScript, Python, and working with data in Excel. This foundational knowledge can then be parlayed into further study towards a career in Web Development.
Computer Systems Analyst
Computer Systems Analysts plan, design, and implement computer systems to meet the needs of an organization, and also train and support users. This course will help to build a foundation in Understanding Technology, Technology at Work, and Discovering Data - all key components to success in the role of a Computer Systems Analyst.
Computer Programmer
Computer Programmers write and test code that allows computer applications and software programs to function properly. This course can provide an introduction to the foundational coding skills that can help to build a foundation for becoming a Computer Programmer. You will learn about JavaScript and Python including key features of each. You will also learn how to interpret and work with data using Excel - all skills which will be critical to your success as a new or established Computer Programmer.
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's computer networks and systems. This course may help you towards the path of working in Information Security, but additional learning and certifications will also be required. You will benefit from a foundational understanding of cloud technology, which is key for roles in Information Security.
UX Designer
UX Designers focus on the user experience when interacting with digital products and services. This course may help you towards the path of working in UX Design, but additional learning and certifications will also be required. You will benefit from a foundational understanding of digital technologies and their applications, which is key for roles in UX Design.
Systems Administrator
Systems Administrators maintain and oversee an organization's computer systems, including servers, desktops, and networks. This course may help you towards the path of working in System Administration, but additional learning and certifications will also be required. You will benefit from a foundational understanding of cloud technology, which is often used for system administration.
Front-End Developer
Front-End Developers design and develop the look and feel of websites and applications. This course can provide an introduction to the foundational coding skills that can help to build a foundation for becoming a Front-End Developer. You will learn about JavaScript and Python including key features of each. You will also learn how to interpret and work with data using Excel - all skills which will be critical to your success as a new or established Front-End Developer.
Back-End Developer
Back-End Developers design and develop the back-end code of websites and applications. This course can provide an introduction to the foundational coding skills that can help to build a foundation for becoming a Back-End Developer. You will learn about JavaScript and Python including key features of each. You will also learn how to interpret and work with data using Excel - all skills which will be critical to your success as a new or established Back-End Developer.
UI Designer
UI Designers design the visual interface for digital products and services. This course may help you towards the path of working in UI Design, but additional learning and certifications will also be required. You will benefit from a foundational understanding of digital technologies and their applications, which is key for roles in UI Design.
Network Administrator
Network Administrators oversee the installation, maintenance, and repair of computer networks within an organization. This course may help you towards the path of working in Network Administration, but additional learning and certifications will also be required. You will benefit from a foundational understanding of cloud technology, which is often used for networking infrastructure.
Database Administrator
Database Administrators maintain and administer an organization's databases, ensuring that they are running smoothly and efficiently. This course can provide a foundational knowledge of how to interpret and work with data using Excel, which is a useful skill for Database Administrators. You will also benefit from a foundational understanding of cloud technology, which is often used for storage and other processing related to database administration.
Cloud Engineer
Cloud Engineers design, build, and maintain cloud computing systems. This course can provide a foundational understanding of cloud technology, which will form a strong base for your learning towards a career as a Cloud Engineer. You will learn about cloud, blockchain, and Artificial Intelligence - all trending technologies for those that are working in Cloud Engineering.

Reading list

We've selected 11 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 Understanding Technology and Data.
Is about deep learning, a branch of machine learning that allows computers to learn from large amounts of data. It's a comprehensive guide to deep learning, and it includes advice on how to build deep learning models, train deep learning models, and evaluate deep learning results.
Is about the future of technology, and how it is likely to change the world in the coming years. It's a thoughtful and provocative book that will challenge your assumptions about the future.
Is about Python. It provides a comprehensive guide to Python, and it includes advice on how to use Python to build data science projects. It's particularly useful for learners who are new to programming.
Is about how data science can be used to improve business decisions. It provides a step-by-step guide to using data science, and it includes advice on how to collect data, analyze data, and interpret results.
Is about Python, a popular programming language for data analysis. It provides a step-by-step guide to using Python for data analysis, and it includes advice on how to clean data, analyze data, and visualize data.
Is about R, a popular programming language for data science. It provides a step-by-step guide to using R for data science, and it includes advice on how to clean data, analyze data, and visualize data.
Is about data visualization. It provides a step-by-step guide to creating effective data visualizations, and it includes advice on how to choose the right charts and graphs.
Is about how to build a successful startup. It provides a step-by-step guide to launching a startup, and it includes advice on how to test your ideas, validate your business model, and scale your company.
Is about how technology affects society, and how the evolution of technology is likely to impact society in the future. It's considered a classic in the field of technology studies.
Is about why successful companies fail. It argues that companies often fail because they are too focused on sustaining their existing business models, and not focused enough on disruptive innovation.

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