Courses tagged with "Business" (1739)

The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool.

In this course, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data.

Pivots are used in many different industries by millions of users who share the goal of reporting the performance of companies and organizations. In addition, Excel formulas can be used to aggregate data to create meaningful reports. To complement, pivot charts and slicers can be used together to visualize data and create easy to use dashboards.

You should have a basic understanding of creating formulas and how cells are referenced by rows and columns within Excel to take this course. If required, you can can find many help topics on Excel at the Microsoft Office Support Site. You are welcome to use any supported version of Excel you have installed in your computer, however, the instructions are based on Excel 2016. You may not be able to complete all exercises as demonstrated in the lectures but workarounds are provided in the lab instructions or Discussion forum. Please note that Excel for Mac does not support many of the features demonstrated in this course.

After taking this course you’ll be ready to continue to our more advanced Excel course, Analyzing and Visualizing Data with Excel.

Through a combination of lectures, business case studies, and hands-on learning this course provides an introduction to data analytics techniques and their application in business.

The case studies explored will illustrate how companies are leveraging different sources of data, including “big data,” with different analytical techniques, to improve performance. You will receive hands-on learning through a free web-based graphical development environment that will allow you to practice using some of these tools themselves. You will also gain an understanding of the many possibilities for applying data science in business, and will be able to consider additional learning opportunities to gain further depth.

This course is an excellent resource for managers who see the opportunity to use data analytics in business but do not have the skills and background to engage with data analytics themselves.

Technology trends such as shared-service infrastructures, cloud computing, Big Data, and the Internet of Things are all changing the way data is processed, stored, and used in enterprises. There is an increasing need for skilled enterprise storage architects and administrators. IT students and professionals seeking a career in the storage industry need to gain knowledge and skills to manage massive amounts of data in enterprise and cloud environments.

This computer science course seeks to provide learners with a basic understanding of enterprise data storage and management technologies. You will learn about different types of storage systems, storage networking technologies as well as concepts related to business continuity, storage security, and storage management.

This course will also cover key concepts related to cloud computing, and some of the new trends in the storage industry. The basic concepts covered in this course will enable learners to later explore each concept in greater detail.

Well organised data structures allow for quick and efficient retrieval of information and are essential for modern computing. Organised data can be easily sorted, ordered, and searched to retrieve information that meets certain requirements.

In Introduction to Data Structures, you’ll learn the fundamentals of creating data structures, and gain exposure to coding and visualising data structures. You’ll explore the importance and impact of well organised data.

You’ll learn how to build a program from small pieces and understand why organisational approaches make such a difference to some very common approaches to solutions.

The course identifies the most important and useful data structures in use in modern programming and each will be presented with exercises for building, visualising, and manipulating that structure. Each exercise embeds a simple and intuitive application for the particular organisation of data that we present. Through the course you will be given a concrete understanding of data structures by writing your own programs to interact with the data structures.

You’ll get the most from this course if you have some understanding of simple programming, and the Foundation week of the course will allow you to test the level of knowledge you require. Learners that have completed the Think. Create. Code. course will have sufficient coding skills to take this course.

Educators have an ever-increasing stream of data at their fingertips, but knowing how to use this data to improve learning and teaching — how to make it less overwhelming, more useful, and part of an effective collaborative process — can be challenging.
 
Based on the book Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning, this course describes a clear, 8-step process for using a wide range of data sources to improve instruction. You will see what this disciplined way of working with colleagues can look and feel like in a school setting. You will also have the opportunity to share insights and experiences about school improvement with educators from around the world.
 
In this course, you will:

• Understand what the Data Wise Improvement Process is and how it can help you improve teaching and learning.
• Build skills in looking at a wide range of data sources, including test scores, student work, and teaching practice.
• Identify next steps in supporting a culture of collaborative data inquiry in your setting.

Introduction to Data Wise is open to all, but is especially valuable for teachers and school and district leaders, as well as policymakers, and educational entrepreneurs who are dedicated to improving outcomes for students. There are several ways you could take this course:

• Participate on your own.
• Enroll with a few colleagues as part of a study group.
• Formally integrate it into professional development in your workplace.

It is a self-paced course. You can go through the essential materials in a day or take several weeks to allow for reflection. There will be one month of active course facilitation, which will include discussion board moderation, office hours, and other live events.
 
This course provides an introduction to a rich portfolio of books, resources, training, and support developed by the Data Wise Project at the Harvard Graduate School of Education. The Data Wise Project works in partnership with teachers and school and system leaders to develop and field-test resources that support collaborative school improvement. We encourage you to explore these resources as you chart a course for using data to improve learning and teaching for all students.
 

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

Have you ever imagined what is deep under the ground? What is happening deep inside the earth? How has the earth evolved into its present state? This course is an introduction to earth science, focusing on the deep earth. We will learn how temperature and chemical compositions inside the Earth are inferred from limited observations combined with laboratory experiments. We will also explore the fate of water on the early Earth related to advanced research questions. Upon finishing this course, you will learn how scientists interpret the unknown and use the scientific method to address immeasurable research challenges.

No specific knowledge is needed. Join this course and let’s imagine the inside of the Earth together.

Want to take your design skills to the next level? Join a team of industry experts on this practical and informative journey from concept to conclusion.

This course will introduce you to the Design Thinking process and illustrate best practices for each step along the way. You’ll find this is an incredibly powerful tool for any field: from Engineering to Entrepreneurship and beyond.

You will utilize everything you learn in this course to create your very own project. In doing so, you will learn many practical and applicable skills such as user research and rapid prototyping, which will set you apart in your field.

Have you ever wondered what babies are capable of from the moment they’re born?

Developmental psychology is the study of an individual’s social, emotional, cognitive, and biological development through his or her lifespan. The focus of this course will be from infancy to later life.

This psychology course will examine how babies and young children develop the ability to function in our world, including their attachment to their caregivers, and their ability to communicate and think about the world. We will also cover specific changes during adolescence and later life.

You should take this course if you are curious to understand what we know about infants’ abilities, how we know it, and about the important milestones that we all pass through as we develop.

This course is part of the Microsoft Professional Program Certificate in Front-End Web Development. 

DevOps is the union of people, process and products to enable the continuous delivery of value to end users. It aims to create a culture and environment where building, testing, and releasing software can happen rapidly, frequently, and more reliably, so you can innovate like a startup and scale for the enterprise. By taking this introductory DevOps course, you’ll be able to define DevOps, understand why you need DevOps, and learn how you can get started with DevOps. You’ll learn the key ideas and techniques to bring development and operations together to produce higher-quality software and deliver it more quickly.

"Introduction to DevOps: Transforming and Improving Operations” aims to help you develop a good working knowledge of the concept of DevOps, covering the foundation, principles, and practices of DevOps. This course will focus on the successful patterns used by high performance organizations over the past 10 years.

The core structure of this course is organized around the three basic principles of DevOps, otherwise known as the “Three Ways”. The “Three Ways” outline the values and philosophies that guide DevOps processes and practices:

• The First Way - This is a set of principles and practices that accelerate the delivery of IT services. Much of the material covered in this section will focus on Continuous Delivery and the extended principles and practices that lead to an accelerated flow.
• The Second Way - This is a set of principles and practices that amplify feedback loops.  In this section we will cover the concepts of creating a problem solving culture, as well as understanding monitoring, as it applies to DevOps. A significant portion of this section will also include monitoring business metrics, and will also explain how change management applies to DevOps.
• The Third Way - The patterns discussed in this section cover the concepts of organizational learning and safety culture. Items like blameless postmortems, resilience engineering, and systems thinking as they apply to DevOps will be covered in this course.

The goal of this course is to cover an extensive study of all of the DevOps principles and practices known to date, such that you can create transformative DevOps initiatives with incredible outcomes. This course also sets up the foundation for implementing the tools and technology that will be needed for further success and execution of a DevOps transformation. 

If you are a manager or a practitioner looking for guidelines on how to start transforming organizations, this course is for you. Upon completion, you should have a good understanding of the foundation, principles, and practices of DevOps. You should be able to continue your progress for an organizational transformation using the acquired skills set.

Phenomena as diverse as the motion of the planets, the spread of a disease, and the oscillations of a suspension bridge are governed by differential equations.MATH226x is an introduction to the mathematical theory of ordinary differential equations. This course follows a modern dynamical systems approach to the subject. In particular, equations are analyzed using qualitative, numerical, and if possible, symbolic techniques.

MATH226 is essentially the edX equivalent of MA226, a one-semester course in ordinary differential equations taken by more than 500 students per year at Boston University. It is divided into three parts. MATH226.1 is the first of these three parts.

In MATH226.1, we will discuss biological and physical models that can be expressed as differential equations with one or two dependent variables. We will discuss geometric/qualitative and numerical techniques that apply to all differential equations. When possible, we will study some of the standard symbolic solution techniques such as separation of variables and the use of integrating factors. We will also study the theory of existence and uniqueness of solutions, the phase line and bifurcations for first-order autonomous systems, and the phase plane for two-dimensional autonomous systems. The techniques that we develop will be used to analyze models throughout the course.

For additional information on obtaining credit through the ACE Alternative Credit Project, please visit here.

How do you design:

• A boat that doesn’t tip over as it bobs in the water?
• The suspension system of a car for a smooth ride?
• Circuits that tune to the correct frequencies in a cell phone?

How do you model:

• The growth of antibiotic resistant bacteria?
• Gene expression?
• Online purchasing trends?

The answer: Differential Equations.

Differential equations are the language of the models we use to describe the world around us. In this mathematics course, we will explore temperature, spring systems, circuits, population growth, and biological cell motion to illustrate how differential equations can be used to model nearly everything in the world around us.

We will develop the mathematical tools needed to solve linear differential equations. In the case of nonlinear differential equations, we will employ graphical methods and approximation to understand solutions.

Photo by user: bizoo_n. Copyright © 2016 Adobe Systems Incorporated. Used with permission.

A country’s economy consists of three major economic agents; consumers, firms and government. Analyzing the choices made by these economic agents is one of the main subjects of microeconomics.

In this economics and finance course, you will learn how the decisions made by economic agents are represented in the market as demand and supply of commodities. You will also learn about equilibriums in the market, which is when the quantity demanded is equal to the quantity supplied. The derivation of this equilibrium is another main focus of microeconomics. By deriving an equilibrium in a market, we can see at which level the price will be and how much of a transaction will occur.

Since this is an introductory economics course at the most elementary level, no prior knowledge of economics is needed. Anyone who is interested in economics is welcome to take this course.

In this economics course, you will learn some of the major concepts of macroeconomics, such as gross domestic product, price level, inflation, unemployment, economic growth and the balance of payments.

You will see that macroeconomics is not that different from microeconomics, in that the interaction of supply and demand provides the basic organizing framework for analyzing the workings of a national economy. You will learn how the equilibrium levels of national income and prices are determined at the intersection of aggregate supply and aggregate demand curves, just as the equilibrium quantity of transaction and price of an individual commodity is determined at the intersection of supply and demand curves.

This is an introductory course at the most elementary level so no prior knowledge of economics is required.

This course introduces fundamental topics in electrical and electronic engineering including a broad range of examples. Topics covered are solar cells (batteries) and portable cell phones, applications from Japanese companies, including the high speed railway, etc., plus advanced research being performed at high-tech laboratories in Japan.

By taking this course, you will gain knowledge about general aspects of electrical and electronic engineering from Tokyo Tech instructors and engineers working in Japanese industry. The topics covered flow from introductory materials, to fundamental research and their practical applications. The lecture videos in this course are spoken in Japanese with English transcripts and all materials (slides, quizzes and report) are provided in both Japanese and English. 

このコースでは、電気電子工学とは何かを学ぶために、太陽電池や携帯電話などの身近な電気電子工学の活用事例から、高速鉄道など日本企業で実用化がすすめられている応用事例、さらに研究室で進められている先端技術まで、電気電子工学に関わる様々な話題を紹介します。このコースの受講を通じて、講師を務める東京工業大学の教員や日本企業で働く卒業生から、電気電子工学全般についての知識を得るとともに、多岐にわたる電気電子工学のトピックについて、さらに学ぶための情報を得ることができます。講義は日本語で行われますが、字幕や課題、スライド資料は日本語と英語の両方で提供されますので、英語で電気電子工学を学ぶこともできます。

The goal of this course is to provide high school students and college freshman a broad outline of engineering and help them decide on a career in engineering. The course explores the different disciplines of engineering and providing participants with a broad background in different areas of engineering.

Do you want to learn how race-cars are built? How robots are able to work independently? How is energy harvested? How is energy stored? How are organs built? How is the body imaged? How do you design an aircraft? How do electrons travel in micro and nanoelectronics? How are drugs delivered in the body? How do you build on soils that are unstable? How do robots see? How is light used in devices? How is data stored and managed? How is pollution mitigated? How are electrical signals processed? How are strong and tough materials designed and built? How is thermal energy managed? How is data transmitted? How are systems integrated? How do you make sure goods and services reach their destination? These are all things that engineers are dealing with on a daily basis and will form the basis of the first part of the course.

The goal of this mathematics course is to provide high school students and college freshmen an introduction to basic mathematics and especially show how mathematics is applied to solve fundamental engineering problems. The aim of the course is to show the students why mathematics is important in an engineering career by demonstrating how simple engineering problems can be mathematically described and methodically analyzed to find a solution.

A number of applied examples from various engineering disciplines will be introduced, analyzed and solved.

Do you ever say to yourself, “there has to be a better way!” Then engineering is for you!

Engineering can be done by everyone, as long as you have a passion for problem solving. In this credit-eligible course, we will walk you through the steps of how to become a true engineer by teaching the engineering design process in a hands-on learning environment.

This course is an active introduction to developing an engineering mindset by teaching the necessary skills to be added to your engineering toolbox. You will learn to identify opportunities, imagine new solutions, model your creations, make decisions, build prototypes, and showcase your ideas that impact the world.

Taught by engineering professors and highlighting industry engineers in action, this course will equip engineers-in-training with skills necessary to compete in today’s world of innovation.

This is a two-credit course at Arizona State University (FSE 100 Introduction to Engineering). It is strongly encouraged that you consult with your institution of choice to determine how these credits will be applied to their degree requirements prior to transferring the credit.

Introduction to Environmental Science, ENVX, was first offered in early 2015.

Environmental science is the study of patterns and processes in the natural world and their modification by human activity.  To understand current environmental problems, we need to consider physical, biological and chemical processes that are often the basis of those problems. This course will give you the skills necessary to address the environmental issues we are facing today by examining scientific principles and the application of those principles to natural systems.  This course will survey some of the many environmental science topics at an introductory level, ultimately considering the sustainability of human activities on the planet.

Environmental impacts on Earth come from the number of people and the amount and types of resources that they use. By applying scientific principles and considering real-world examples, we will examine:

• The field of environmental science and how to think like an environmental scientist
• The human population and the ways in which changes in the population affect the environment
• Agriculture, soils and the environmental implications of eating meat, vegetables, local, organic, sustainable, industrial and other types of food
• Non-renewable fossil fuels with a focus on coal, petroleum and natural gas and the benefits and consequences of using each
• Renewable fuels such as wind and solar and identify that even renewable “green” energy sources have impacts as well as benefits
• Biodiversity and global change, which are the integrating units of environmental science

Education method
The course will utilize video lectures, interviews with experts, readings, discussions, multiple choice and prompted discussions and one graded quiz per week. There will also be several optional live office hours on Google Hangouts.

Completion of self-assessments, contributions to discussion and quiz scores will determine the final grade. 

In this education course, you will learn what family engagement is and why it matters to the success of students and schools. We will explore the research linking family engagement to better educational outcomes and speak directly with researchers, educators, students, and families about promising practices in the field.

Family engagement describes what families do at home and in the community to support their children’s learning and development. It also encompasses the shared partnership and responsibility between home and school.

Such engagement is essential for school improvement. It is also increasingly recognized as an integral element for proficient practice as an educator.

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.