Online Course in Economics in USA

See Online Courses in Economics in USA 2017

Economics

Courses are individual units of study that can be taken singly or as a series of classes concentrated in a specific area of study. Individual classes can vary in length, cost, and number of sessions per week.

An exciting and unique field, economics and administration involves the study of both the larger economy and individual behavior within that economy. An advanced knowledge of economics plus training in business, finance and public policy afford many career opportunities for experts to assist both public and private sector organizarions.

The United States of America is a large country in North America, often referred to as the "USA", the "US", the "United States", "America", or simply "the States". American colleges are funded by "tuition" charged to the student, which is often quite expensive, very commonly reaching into the tens of thousands of dollars per year.

Online Course in Economics in USA

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Course in Business Foundations (Beginner)

Coursera
Online Part time 6 months Open Enrollment USA USA Online

In this Specialization, you’ll develop basic literacy in the language of business, which you can use to transition to a new career, start or improve your own small business, or apply to business school to continue your education. In four courses, you’ll learn the fundamentals of marketing, accounting, operations, and finance. [+]

Online Courses in Economics in USA. In this Specialization, you’ll develop basic literacy in the language of business, which you can use to transition to a new career, start or improve your own small business, or apply to business school to continue your education. In four courses, you’ll learn the fundamentals of marketing, accounting, operations, and finance. In the final Capstone Project, you’ll apply the skills learned by developing a go-to-market strategy to address a real business challenge. Courses Introduction to Marketing Taught by three of Wharton's top faculty in the marketing department, consistently ranked as the #1 marketing department in the world, this course covers three core topics in customer loyalty: branding, customer centricity, and practical, go-to-market strategies. You’ll learn key principles in - Branding: brand equity is one of the key elements of keeping customers in a dynamic world in which new startups are emerging constantly. - Customer centricity: not synonymous with customer service, customer centricity starts with customer focus and need-gathering. - Go-to-market strategies: understand the drivers that influence customers and see how these are implemented prior to making an investment. Complete this course as part of Wharton's Business Foundations Specialization, and you'll have the opportunity to take the Capstone Project and prepare a strategic analysis and proposed solution to a real business challenge from Wharton-governed companies like Shazam and SnapDeal or to a challenge faced by your own company or organization. Wharton-trained staff will evaluate the top submissions, and leadership teams at Shazam and SnapDeal will... [-]

Course in Career Success (Beginner)

Coursera
Online Part time Open Enrollment USA USA Online

This series of courses will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce. The courses in this Specialization may be taken in any order. Each course can also be taken independently. [+]

This series of courses will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce. The courses in this Specialization may be taken in any order. Each course can also be taken independently. The Specialization concludes with a Capstone project that will give you the opportunity to integrate and apply the skills you have gained throughout the courses to your individual and organizational needs. Courses Project Management: The Basics for Success This course combines the essential elements of Project Management and Team Leadership into one course. Through class engagement and reflection, you will acquire further understanding of the responsibilities of leadership and become better prepared to apply this knowledge to the project environment. Work Smarter, Not Harder: Time Management for Personal & Professional Productivity You will be able to gain and apply your knowledge and understanding of personal and professional awareness, organization and commitment, and use the tools, methods and techniques that you have learned in goal setting, prioritization, scheduling, and delegation to overcome time management challenges and enhance productivity. Finance for Non-Financial Professionals Impact your financial decisions and learn how to affect the performance of your unit's profitability and of your organization. In this course gain a basic understanding of finance and accounting concepts to drive your organization's growth. Upon completion of this course, you will have gained general financial knowledge and an in-depth understanding of the impact of your decisions outside your functional area. Content of the course... [-]

Course in Statistics with R (Beginner)

Coursera
Online Part time Open Enrollment USA USA Online

You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions. [+]

Online Courses in Economics in USA. In this Specialization, you will learn to analyze and visualize data in R and created reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions. Courses Introduction to Probability and Data This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization. Inferential Statistics This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and... [-]

Course in Business Analytics (Beginner)

Coursera
Online Part time 4 - 5 months Open Enrollment USA USA Online

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. [+]

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations. Courses Customer Analytics Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this course, four of Wharton’s top marketing professors will provide an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. This course provides an overview of the field of analytics so that you can make informed business decisions. It is an introduction to the theory of customer analytics, and is not intended to prepare learners to perform customer analytics. Course Learning Outcomes: After completing the course learners will be able to... Describe the major methods of customer data collection used by companies and understand how this data can inform business... [-]

Course in Introduction to Project Management Principles and Practices (Beginner)

Coursera
Online Part time Open Enrollment USA USA Online

Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. This intensive and hands-on series of courses gives you the skills to ensure your projects are completed on time and on budget while giving the user the product they expect. [+]

Online Courses in Economics in USA. Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. This intensive and hands-on series of courses gives you the skills to ensure your projects are completed on time and on budget while giving the user the product they expect. You will gain a strong working knowledge of the basics of project management and be able to immediately use that knowledge to effectively manage work projects. At the end of the series you will be able to identify and manage the product scope, build a work breakdown structure, create a project plan, create the project budget, define and allocate resources, manage the project development, identify and manage risks, and understand the project procurement process. Courses Initiating and Planning Projects Successful projects require careful upfront planning. In this course, you’ll learn the key roles and responsibilities of the project manager and project team. You’ll also learn to answer some key questions upfront to help you meet project objectives: What will this project accomplish? Why is this project important? Who benefits from this project? How will we plan for successful outcomes? Budgeting and Scheduling Projects A good project schedule helps all team members’ work together to meet project objectives. A project budget with realistic cost constraints is also an essential bedrock of any project. In this course you’ll learn to plan and stick to time and cost constraints in order to ensure the success of your... [-]

Course in Entrepreneurship (Beginner)

Coursera
Online Part time 6 months Open Enrollment USA USA Online

Wharton's Entrepreneurship Specialization covers the conception, design, organization, and management of new enterprises. This four-course series is designed to take you from opportunity identification through launch, growth, financing and profitability. [+]

Wharton's Entrepreneurship Specialization covers the conception, design, organization, and management of new enterprises. This four-course series is designed to take you from opportunity identification through launch, growth, financing and profitability. With guidance from Wharton's top professors, along with insights from current Wharton start-up founders and financiers, you'll develop an entrepreneurial mindset and hone the skills you need to develop a new enterprise with potential for growth and funding, or to identify and pursue opportunities for growth within an existing organization. Courses Entrepreneurship 1: Developing the Opportunity How does a good idea become a viable business opportunity? What is entrepreneurship and who fits the profile of an entrepreneur? This introductory course is designed to introduce you to the foundational concepts of entrepreneurship, including the definition of entrepreneurship, the profile of the entrepreneur, the difference between entrepreneurship and entrepreneurial management, and the role of venture creation in society. You’ll explore where technology entrepreneurship and impact entrepreneurship align and where they diverge, and you’ll learn proven techniques for identifying the opportunity, assessing the opportunity, hypothesis testing and creating a prototype. By the end of this course, you’ll know how to test, validate and prototype your idea, and also whether or not you fit the profile of an entrepreneur! You’ll also be ready to move on to the next phase of entrepreneurship in Entrepreneurship 2: Launching the Start-Up. Entrepreneurship 2: Launching your Start-Up Once you have a prototype and a clearer vision of the opportunity, you’ll need to create a small organization to discover... [-]

Course in Methods and Statistics in Social Sciences (Beginner)

Coursera
Online Part time 10 months Open Enrollment USA USA Online

This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods. [+]

Online Courses in Economics in USA. Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions. This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods. Courses Quantitative Methods Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. Coursera will use examples from sociology, political sciences, educational sciences, communication sciences and psychology. Qualitative Research Methods In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. Coursera will focus on the ingredients required for this process: data collection and analysis. You won't learn how to use qualitative methods by just watching video's, so Coursera puts much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments. Obviously, the most important concepts in qualitative research... [-]

Course in Business and Financial Modeling (Beginner)

Coursera
Online Part time 6 months Open Enrollment USA USA Online

Wharton's Business and Financial Modeling Specialization is designed to help you make informed business and financial decisions. These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. [+]

Wharton's Business and Financial Modeling Specialization is designed to help you make informed business and financial decisions. These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. When you complete the Specialization, you'll be ready to use your own data to describe realities, build scenarios, and predict performance. Courses Fundamentals of Quantitative Modeling How can you put data to work for you? Specifically, how can numbers in a spreadsheet tell us about present and past business activities, and how can we use them to forecast the future? The answer is in building quantitative models, and this course is designed to help you understand the fundamentals of this critical, foundational, business skill. Through a series of short lectures, demonstrations, and assignments, you’ll learn the key ideas and process of quantitative modeling so that you can begin to create your own models for your own business or enterprise. By the end of this course, you will have seen a variety of practical commonly used quantitative models as well as the building blocks that will allow you to start structuring your own models. These building blocks will be put to use in the other courses in this Specialization. Introduction to Spreadsheets and Models The simple spreadsheet is one of the most powerful data analysis tools that exists, and it’s available to almost anyone. Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are... [-]

Data Science Certification Training - R Programming

Simplilearn
Online Part time Open Enrollment USA USA Online

The Data Science with R training course has been designed to impart an in-depth knowledge of the various data analytics techniques which can be performed using R. The course is packed with real-life projects, case studies, and includes R CloudLabs for practice. [+]

Online Courses in Economics in USA. Key features 32 hours of instructor-led training 24 hours of self-paced video 8 real-life industry projects in retail, insurance, finance, airlines domains Hands-on practice with R CloudLabs Includes statistical concepts like regression & cluster analysis Includes “Business Analytics with Excel” course Course description What’s the focus of this course? The Data Science with R training course has been designed to impart an in-depth knowledge of the various data analytics techniques which can be performed using R. The course is packed with real-life projects, case studies, and includes R CloudLabs for practice. Mastering R language: The course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various graphics available in R. Mastering advanced statistical concepts: The course also includes the various statistical concepts like linear and logistic regression, cluster analysis, and forecasting. You will also learn hypothesis testing. As a part of the course, you will be required to execute real-life projects using CloudLab. The compulsory projects are spread over four case studies in the domains of healthcare, retail, and Internet. R CloudLab has been provided to ensure a practical and hands-on experience. Additionally, we have four more projects for further practice. What are the course objectives? This course will enable you to: Gain a foundational understanding of business analytics Install R, R-studio, and workspace setup. You... [-]

Lean Six Sigma Black Belt Certification Training

Simplilearn
Online Part time Open Enrollment USA USA Online

Lean Six Sigma Black Belt Certification is a blended certification of Lean and Six Sigma offered to professionals who successfully qualify the LSSBB exam. Lean is a technique or a collection of techniques that helps in the reduction of time while delivering products. Six Sigma, on the other hand, is a disciplined approach to improve the quality and maintain consistency in delivery of products and services. [+]

Key features 21 hours of high-quality e-learning content 6 chapter-end quizzes 3 Lean Six Sigma Black Belt simulation exams Downloadable e-book Course completion certificate IASSC exam fee not included Course description What’s the focus of this course? Lean Six Sigma Black Belt Certification is a blended certification of Lean and Six Sigma offered to professionals who successfully qualify the LSSBB exam. Lean is a technique or a collection of techniques that helps in the reduction of time while delivering products. Six Sigma, on the other hand, is a disciplined approach to improve the quality and maintain consistency in delivery of products and services. Thus, Lean Six Sigma is an approach that is used to improve services on time while eliminating defects and leading the project towards perfection. Lean Six Sigma has emerged as a popular business management strategy applied to projects globally. It helps a company in achieving their process excellence initiatives and delivering increased profits to an organization. Lean Six Sigma Black Belt certification demonstrates one’s ability to deploy skills in enterprise-wide projects and approach, for full time process excellence roles. Why is the certification most sought-after? The course offered by Simplilearn is referred to as Lean Six Sigma Black Belt (LSSBB). Our Six Sigma Black Belt training and certification program is modelled on the Body of Knowledge (BOK) of the American Society of Quality (ASQ), with cutting-edge and real-life applications integrated with the training section. Once the training is complete, the participants will be able to implement the... [-]

Minitab Training

Simplilearn
Online Part time Open Enrollment USA USA Online

This course ensures that you learn the practical applications of the latest version of the statistical tool, Minitab® 17 and excel at the tools used by both Lean Six Sigma Green Belt and Black Belt professionals. [+]

Online Courses in Economics in USA. Key features 8 hours of high-quality e-learning content 9 case studies in Manufacturing, Healthcare, IT & IT services 1 practice test Course completion certificate Course description What’s the focus of this course? This course ensures that you learn the practical applications of the latest version of the statistical tool, Minitab® 17 and excel at the tools used by both Lean Six Sigma Green Belt and Black Belt professionals. The course covers 9 case studies in the domains of Healthcare, IT and IT Services, and Manufacturing, and each case study describes a problem and its solution using Minitab® 17. What are the course objectives? By the end of Minitab training you will be able to: Process key statistical data operations using Minitab Export data to various MS office applications Understand and apply various statistical tools in various quality projects Understand and remove common pitfalls in data analysis Master all statistical tools/topics needed for Green/Black belt projects Who should take this course? Minitab is most beneficial for organizations that encourage employees to take up efficiency/ quality projects and bring in key insights using data analysis. This course is most suited for: Individuals looking forward to learn data analysis using Minitab Analysts Quality System Managers Quality Engineers Quality Supervisors Quality Auditors Exam & certification Does the course have any prerequisites? The course does not have any prerequisites, and it is not limited to only Six Sigma professionals. Any individual or professional keen on analysis of data can... [-]

Python for Data Science Certification Training Course

Simplilearn
Online Part time Open Enrollment USA USA Online

The Data Science with Python course is designed to impart an in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The course is packed with real-life projects, assignment, demos, and case studies to give a hands-on and practical experience to the participants. [+]

Key features 40 hours of instructor-led training 24 hours of self-paced learning videos 4 real-life industry-based projects in the domains of telecom, stock market, etc. Interactive learning with Jupyter notebooks labs Includes concepts of web scraping Includes a free Python basics course Course description What’s the focus of this course? The Data Science with Python course is designed to impart an in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The course is packed with real-life projects, assignment, demos, and case studies to give a hands-on and practical experience to the participants. Mastering Python and using its packages: The course covers PROC SQL, SAS Macros, and various statistical procedures like PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP. You will learn how to use SAS for data exploration and data optimization. Mastering advanced analytics techniques: The course also covers advanced analytics techniques like clustering, decision tree, and regression. The course covers time series, it's modeling, and implementation using SAS. As a part of the course, you are provided with 4 real-life industry projects on customer segmentation, macro calls, attrition analysis, and retail analysis. What are the course objectives? This course will enable you to: Gain an in-depth understanding of data science process, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics. Install the required Python environment and other auxiliary tools and libraries Understand the... [-]

Tableau Desktop 9 Qualified Associate Training Online

Simplilearn
Online Part time Open Enrollment USA USA Online

Tableau Desktop 9 associate training provided by Simplilearn is to ensure you are ready to take up a job assignment requiring Tableau Desktop expertise.The course has been specifically designed to give your Tableau career a strong boost. [+]

Online Courses in Economics in USA. Key features 32 hours of instructor-led training 16 hours of self-paced learning Includes 4 industry-based projects in retail industry and 22 hands-on lab exercises Includes 4 simulation of Tableau Desktop 9 Qualified Associate exam Get training from an authorized Tableau partner Includes 1 month licensed access to Tableau for practice Course description What is the focus of this course? Tableau Desktop 9 associate training provided by Simplilearn is to ensure you are ready to take up a job assignment requiring Tableau Desktop expertise.The course has been specifically designed to give your Tableau career a strong boost. The focus of the course is to help you learn Tableau Desktop 9 skills, such as visualisation building, analytics and dashboards. This Tableau course also ensures you are well-prepared to clear Tableau Desktop 9 Qualified Associate exam of Tableau. The course also contains 4 industry projects which will help you gain real world experience in Tableau Desktop 9 industry application. What learning outcomes can be expected? With Simplilearn’s training on Tableau Desktop 9, you will be able to: Grasp the concepts of Tableau Desktop 9 and become proficient with Tableau statistics and building interactive dashboards Master data connections as well as organizing and simplifying data Become expert in formatting, annotations and spatial analysis Master Special Field Types and Tableau Generated Fields Understand the concepts of using charts including pareto, waterfall, gantt, box plots, sparkline and also perform market basket analysis Become expert in fundamental calculations along with automatic... [-]

Data Science with SAS Certification Training

Simplilearn
Online Part time Open Enrollment USA USA Online

The data science with SAS certification training is designed to impart an in-depth knowledge of SAS programming language, SAS tools, and various advanced analytics techniques. The training provides a solid base for implementing these techniques. The course is packed with real-life projects and case studies to give a hands-on and practical experience to the participants. [+]

Key features 32 hours of instructor-led training 24 hours of self-paced video 4 real-life industry projects on customer segmentation, retail analysis etc. Learn SAS Macros and PROC SQL Includes advanced statistical concepts on regression, clustering and forecasting Includes a free SAS Base Programmer course Course description What’s the focus of this course? The data science with SAS certification training is designed to impart an in-depth knowledge of SAS programming language, SAS tools, and various advanced analytics techniques. The training provides a solid base for implementing these techniques. The course is packed with real-life projects and case studies to give a hands-on and practical experience to the participants. Mastering SAS and related tools: The course covers PROC SQL, SAS Macros, and various statistical procedures like PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP. You will learn how to use SAS for data exploration and data optimization. Mastering advanced analytics concepts: The course also covers advanced analytics techniques like clustering, decision tree, and regression. The course covers time series, it's modeling, and implementation using SAS. As a part of the course, you are provided with 4 real-life industry projects on customer segmentation, macro calls, attrition analysis, and retail analysis. What are the course objectives? This course will enable you to: Understand analytics, the various analytics techniques, and the widely used tools Gain an understanding of SAS, the role of GUI, Library statements, importing and exporting of data and variable attributes Gain an in-depth understanding of statistics, hypothesis testing, and advanced statistics... [-]

Google Cloud Platform Big Data & Machine Learning Fundamentals (CPB100)

Simplilearn
Online Part time Open Enrollment USA USA Online

Google Cloud Platform Big Data & Machine Learning Fundamentals (CPB100) will introduce you to the Big Data & Machine Learning capabilities of Google Cloud Platform. It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. [+]

Online Courses in Economics in USA. Key features 8 hours of instructor-led training Google accredited training Big data and Machine learning on Google Cloud 7 hands on lab exercises on GCP Course description What is this course about? Google Cloud Platform Big Data & Machine Learning Fundamentals (CPB100) will introduce you to the Big Data & Machine Learning capabilities of Google Cloud Platform. It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. What are the Course Objectives? By the end of CPB100 training program, you’ll be able to: Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform Employ BigQuery and Cloud Datalab to carry out interactive data analysis Choose between Cloud SQL, BigTable and Datastore Train and use a neural network using TensorFlow Choose between different data processing products on the Google Cloud Platform Who should do this course? This course is an essential requirement for professionals who are involved in the processing, modeling, querying, visualizing and reporting of data. Applicable careers include: Data analysts Data scientists Business analysts IT decision makers Analytics Professionals Exam & certification What are the prerequisites for this course? To attend this course, you need to have roughly one (1) year of experience with one or more of the following: A common query language such as SQL Extract, transform,... [-]