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Humans have an innate desire to improve, grow and perform well. In this specialization we will provide tactics and tools to perform at your best. This course is about personal excellence, as defined by you. Whether you are a brand-new manager, an individual contributor, a CEO, or a retiree seeking improvement, this course is for you. It applies broadly to anyone with a thirst to perform better in whatever arena you choose. In this course you will learn leading edge performance tactics from the latest research and brightest minds: awareness, emotion regulation, calmness under pressure, motivation, goals, planning, and focus. Our mission is to give you the tools needed to lead a more fulfilling life and perform at your best when it matters most. This specialization can be taken for academic credit as part of CU Boulder's Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder. Applied learning project Learners will complete (knowledge check) quizzes every week to test their comprehension and advance their learning. Projects include developing a personal ethos and a strategic action plan. In addition, there are reflective journal entries and activities throughout all courses. Learners who subscribe will also have access to an award-winning companion workbook developed by the instructor. This workbook contains the journal prompts and other activities so learners can come away from the course with a document reflecting their growth throughout the course.

How many times have you decided to learn a programming language, only to get stuck somewhere along the way, get frustrated, and give up? This specialization is for those with little or no programming experience who want to use Python as a data science tool. Now that you have mastered the basics of Python and Python functions, you will turn your attention to Python packages specifically used for Data Science, such as Pandas, Numpy, Matplotlib, and Seaborn. Are you ready? Let’s go! Logo image courtesy of Mourizal Zativa. Available on Unsplash here: https://unsplash.com/photos/gNMVpAPe3PE

How many times have you decided to learn a programming language, only to get stuck somewhere along the way, get frustrated, and give up? This specialization is for those with little or no programming experience who want to use Python as a data science tool. In the first course, Introduction to Python Basics , you'll learn the basic input and output methods in Python so you can write your first program. For more advanced programming, you'll learn variables, operators, and control-flow statements. In the second course, Introduction to Python Functions , you'll create and use functions to make your programs reusable and adaptive. You'll also learn how to use basic packages. In the third course, Python Packages for Data Science , you'll be introduced to packages specifically used for data science, such as Pandas, Numpy, Matplotlib, and Seaborn. In this specialization, you'll learn that programming in Python is like building LEGOs: You simply follow the instructions, match the pieces together, and create something interesting and unique. Instead of giving up in frustration, you'll find that learning Python can be easy and fun. Applied learning project Students will be introduced to the Python language and key data-manipulation packages through exploratory labs and instructor-led examples. Beginning with a single one-line Python statement, students will be able to use the most widely used Python packages to manipulate data and gain insights from data.

In this course, students will develop a greater understanding of Asian American history and identities, explore the problematic history of anti-Asian discrimination in the US, and develop skill sets that they can use to address anti-Asian hatred and violence in their community. Target learners include students interested in Asian American history and Anti-Racism, but also any learner interested in creating more inclusive communities for AAPI Americans and stopping racism, hate, and violence in their community. Drawing from a diverse range of Asian American experiences, this course will utilize a variety of course-specific and open-source materials and activities that include facilitated conversations, interviews, videos, articles, podcasts, and art to guide the learner through 3 weekly modules . Week 1 focuses on the history of Asian American cultures and identities in the US. Week 2 tightens this lens to examine contextual examples of anti-Asian racism in US history and culture as well as artists, activists, and communities who have actively resisted Anti-Asian violence. Week 3 explores examples of Asian American activism and anti-racism using a humanities-centered approach and encourages learners to think about ways to deploy the skills developed throughout the course in their own communities and lives. During the course, learners will have the opportunity to complete self-guided reflections and responses to course material that will develop their knowledge of anti-racist practices and active bystander intervention. Learners who complete the course will be offered the opportunity to earn a Coursera badge/certificate and all participants will be encouraged to take the knowledge and skills gained from the course into their communities.

Engage with lived experiences and identities that have often been denied a public voice. Consider the nuanced contexts of race, gender, class, language, ability, and how these impact your position as a leader and creator. You'll question what it means to reclaim your narrative of yourself and to engage with the strength of vulnerability as a leader and creator. In a creative exercise, you'll engage with multiple perspectives on a past conflict and use this reflection to practice perspective-taking and listening that can generate creative work and deepen leadership skills for empathy, listening and engaging in multicultural workplaces.

Ask for and give constructive feedback on your work, and consider venues for sharing your stories as both a leader and creator. In leadership contexts, this translates to authentic purpose, vision, and values. You'll engage with a creative assignment with the intention of creating and polishing a story from your life that can be shared, reflecting on how stories evolve over time, through different media, and through retellings for and with different audiences.

If you're moving into a leadership position, interested in thinking deeply about identity, or exploring the role of creativity in your life, this specialization is for you! Stories are powerful catalysts for social change that can contribute to greater equity and inclusion across a range of diverse human experiences and identities. Stories can limit or define us, and they can also be reconstructed, questioned, tinkered with, and used to reconsider or expand possibilities for your life and communities. You will have an opportunity to craft the narratives of your own life experiences in ways that help you better understand your public and private identities. The courses in this specialization feature diverse media that share stories spanning nationality, race, gender, sexuality, social class, and time. You will practice giving and receiving constructive feedback as we explore creating through audio, video, social media, and more traditional forms of writing. Applied learning project Final course projects are peer review assignments where you will get to practice developing and polishing stories from your life experiences for creative expression and for leadership contexts. You'll get to ask for, receive, and give feedback on your work and the work of peers, a key skill in collaborative work environments.

The most effective leaders in complex technical organizations are successful leading the performance of large-scale technical endeavors. These leaders have generally established a network of professional relationships, supporting them throughout their careers. This third Leading Technical Organizations course, "Value Creation and Building Enduring Relationships", explores techniques for building relationships that have a multiplicative impact on business success. The course provides insight into how authentic leadership yields employee engagement that is critical to strategizing, planning and performing large scale technical endeavors. This course can be taken for academic credit as part of CU Boulder's Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

Being a successful leader in a complex technical organization requires being ultimately accountable for your team's performance and meeting commitments to all your stakeholders. This second Leading Technical Organizations course, "Accountability and Employee Engagement", explores how organizational leaders use different decision-making processes for different situations and that they are ultimately accountable for all results. You will also learn how a company's culture affects strategy, risk and meeting stakeholder commitments. This course can be taken for academic credit as part of CU Boulder's Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

Leaders of complex technical organizations must cope with the challenges of rapid technology advancement, innovation, and a new flexible workplace where employees working from anywhere demand engagement, motivation, and recognition. This first course in Leading Technical Organizations, Leadership Style and Building High-Performance Teams, examines your personal leadership style, how value is created, how leaders multiply their abilities by building high-performing teams, and how your leadership presence is essential to being a leader of leaders. This course can be taken for academic credit toward CU Boulder’s Master of Engineering Management (ME-EM) program, offered on Coursera. The ME-EM program is designed to help engineers, scientists, and technical professionals move into leadership and management positions in the engineering and technical industries. An outcomes-based program with no application requirement, the ME-EM program is ideal for individuals with a wide range of educational and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

This specialization explores how a leader multiplies their abilities by leading through others and that one's executive presence is essential to be a leader of leaders. The first key to success is building a team of exceptional, diverse leaders who are deeply involved in talent acquisition, development and retention activities. Learners will study how organizational leaders use different decision-making processes for different situations and that they are ultimately accountable for all results. Techniques for building enduring relationships that have a multiplicative impact on business success will be examined. This specialization provides insight into big picture considerations that organizational leaders must take into account when strategizing, planning and performing large scale technical endeavors. This specialization can be taken for academic credit as part of CU Boulder's Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder. Applied learning project Each week students will explore leadership topics through knowledge-check quizzes, readings, and responding to a real life leadership scenario with a one page paper. The leadership scenario responses are graded on an understanding of the topic, application of your strengths and personality type and a professionally written response. These one page responses will be graded by 3 peer reviewers against a rubric. Writing a very good one-page paper can be more difficult than writing a much longer piece. This is one of the most important and practical types of writing to master. Being a peer reviewer encourages you to be a critical thinker and enhances your communication skills. Peer reviews teach you how to communicate positive and constructive feedback, a critical leadership skill.

The course is intended for individuals who want to build a production-quality software system that leverages big data. You will apply the basics of software engineering and architecture to create a production-ready distributed system that handles big data. You will build data intensive, distributed system, composed of loosely coupled, highly cohesive applications. This course can be taken for academic credit as part of CU Boulder's MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer- science-boulder