Knowledge of Geographic Information Systems (GIS) is an increasingly sought-after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.

Interested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.

WHAT YOU WILL LEARN

- Create and work with raster data.

- Develop a large processing workflow in ModelBuilder.

- Develop and analyze data for the geospatial analysis project.

- Interpret and explain the results you obtained in comparison to your original GIS question and/or hypothesis.

Learners will work through the various course projects to gain experience and skills related to geographic information systems. Each course reviews the concepts in a final project to reinforce your learning. Each course builds on the knowledge of the previous and the Specialization culminates with a capstone where you will design and execute a complete GIS-based analysis – from identifying a concept, question, or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio.

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.

If you are a PwC Employee, gain access to the PwC Specialization and Courses for free using the instructions on Vantage.

This Specialization will help you get practical with data analysis, turning business intelligence into real-world outcomes. We'll explore how a combination of better understanding, filtering, and application of data can help you solve problems faster - leading to smarter and more effective decision-making. You’ll learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools, and perhaps most importantly, we'll help you to present data to others in a way that gets them engaged in your story and motivated to act.

What's more, should you enroll in these courses, you will be invited to join PwC's talent network. Those who opt into this talent network will receive information about PwC career opportunities, thought leadership, and happenings in the PwC global network.

Please note: If you'd like to audit the courses in this Specialization, you'll need to enroll in each course separately and then you will see the audit option.

This specialization will include a project at the end of each module and a capstone project at the end of the specialization. Each project will provide you the chance to apply the skills of that lesson. In the first module, you'll plan an analysis approach, in the second and third modules you will analyze sets of data using the Excel skills you learn. In the fourth module, you will prepare a business presentation.

In the final Capstone Project, you'll apply the skills you’ve learned by working through a mock client business problem. You'll analyze a set of data, looking for the business insights. Then you'll create and visualize your findings, before recording a video to present your recommendations to the client.

Interested in learning more about data science, but don’t know where to start? This 4-course Specialization from IBM will provide you with the key foundational skills any data scientist needs to prepare you for a career in data science or further advanced learning in the field.

This Specialization will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data-driven decisions. You’ll find that you can kickstart your career path in the field without prior knowledge of computer science or programming languages: this Specialization will give you the foundation you need for more advanced learning to support your career goals.

You’ll grasp concepts like big data, statistical analysis, and relational databases, and gain familiarity with various open-source tools and data science programs used by data scientists, like Jupyter Notebooks, RStudio, GitHub, and SQL. You'll complete hands-on labs and projects to learn the methodology involved in tackling data science problems and apply your newly acquired skills and knowledge to real-world data sets.

WHAT YOU WILL LEARN

- Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists  

- Develop the mindset to work as a data scientist, and follow a methodology to tackle different types of data science problems

- Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub, and Watson Studio

- Write SQL statements and query Cloud databases using Python from Jupyter notebooks

In addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing you as a specialist in data science foundations.

This Specialization can also be applied to the IBM Data Science Professional Certificate.

You will utilize tools like Jupyter, GitHub, R Studio, and Watson Studio to complete hands-on labs and projects throughout the Specialization. Using new skills and knowledge gained through the program, you’ll also work with real-world data sets and query them using SQL from Jupyter notebooks.

Wharton's Fintech Specialization is designed to introduce you to the fundamental building blocks of financial technologies and real-world applications through case studies of Wharton-led companies in the field. You'll learn the essential components of technology-driven financial strategies, from complex regulations to cryptocurrency to portfolio optimization.

You'll also learn how modern investment strategies deploy technology to produce optimal results, explore the disruptive force of changing payment methods, analyze the changing regulatory landscape, and gain a deeper understanding of robo-advising, crowdfunding, peer-to-peer lending, and blockchain. By the end of this Specialization, you'll be able to make informed decisions about deploying financial technologies for yourself or for your business, giving you a competitive advantage in using the latest financial innovations.

You'll learn the the essential components of technology-driven financial strategies, from complex regulations to cryptocurrency to portfolio optimization. You'll also learn how modern investment strategies deploy technology to produce optimal results, explore the disruptive force of changing payment methods, analyze the changing regulatory landscape, and gain a deeper understanding of robo-advising, crowdfunding, peer-to-peer lending, and blockchain.

WHAT YOU WILL LEARN

- Explain crypto-currency and blockchain in financial contexts

- Identify the regulatory concerns presented by the most common financial technologies

- Evaluate investment products using Modern Portfolio Theory

By the end of this Specialization, you'll be able to make informed decisions about deploying financial technologies for yourself or for your business, giving you a competitive advantage in using the latest financial innovations.

We all negotiate on a daily basis. On a personal level, we negotiate with friends, family, landlords, car sellers, and employers, among others. Negotiation is also the key to business success. No business can survive without profitable contracts. Within a company, negotiation skills can lead to your career advancement.

I hope that you will join the hundreds of thousands of learners who have made “Successful Negotiation” one of the most popular and highly-rated MOOCs worldwide. In the course, you’ll learn about and practice the four steps to a successful negotiation:

(1) Prepare: Plan Your Negotiation Strategy

(2) Negotiate: Use Key Tactics for Success

(3) Close: Create a Contract

(4) Perform and Evaluate: The End Game

To successfully complete this course and improve your ability to negotiate, you’ll need to do the following:

(1) Watch the short videos (ranging from 5 to 20 minutes). The videos are interactive and they include questions to test your understanding of negotiation strategy and skills. You can speed up or slow down videos to match your preferred pace for listening. Depending on your schedule, you can watch the videos over a few weeks or you can binge-watch them. A learner who binge-watched the course concluded that “It’s as good as Breaking Bad.” Another learner compared the course to “House of Cards.” Both shows contain interesting examples of complex negotiations!

(2) Test your negotiation skills by completing the negotiation in Module 6. You can negotiate with a local friend or use Discussions to find a partner from another part of the world. Your negotiation partner will give you feedback on your negotiation skills. To assist you with your negotiations, I have developed several free negotiating planning tools that are related to the course. These tools and a free app are available at http://negotiationplanner.com/

(3) Take the final exam. To successfully complete the course, you must answer 80% of the questions correctly. The exam is a Mastery Exam, which means that you can take it as many times as you want until you master the material.

Course Certificate You have the option of earning a Course Certificate. A Certificate provides formal recognition of your achievements in the course and includes the University of Michigan logo. Learn more about Certificates at: https://learner.coursera.help/hc/en-us/articles/209819053-Get-a-Course-Certificate

This course is also available in Spanish and Portuguese. To join the fully translated Spanish version, visit this page: https://www.coursera.org/learn/negociacion/

To join the fully translated Portuguese version, visit this page: https://www.coursera.org/learn/negociacao Subtitles for the videos are available in English, Ukrainian, Chinese (Simplified), Portuguese (Brazilian), Spanish

The Construction Management specialization is curated for professionals in the construction and civil engineering industry looking to advance their careers. Through this specialization, students will gain comprehensive industry knowledge along with the latest trends and development within the industry. This 5-course specialization will cover the major facets of construction management including project initiation and planning, scheduling techniques and procedures, cost estimating and control, and construction project financials. After students complete this specialization, they will have gained significant skills and tools to stay relevant and ahead of the curve in the world of construction management. Real-world projects will be included in each course of the specialization to reinforce the skills being taught. The projects will build on information you have learned in the courses and allow you to add your own research. Projects will be peer-reviewed by your classmates, and you will peer-review the work of others. Instructions on how to conduct peer-reviews will be included in the course. Upon completing the series, you will be able create a work-breakdown structure, build a project schedule, work on a project plan, create a project budget, identify risk, and assign responsibility for those risks.

Data Science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Specialization from IBM will help anyone interested in pursuing a career in data science by teaching them fundamental skills to get started in this in-demand field. The specialization consists of 5 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases. You'll learn these data science pre-requisites through hands-on practice using real data science tools and real-world data sets.

Upon successfully completing these courses, you will have the practical knowledge and experience to delve deeper in Data Science and work on more advanced Data Science projects. All courses in the specialization contain multiple hands-on labs and assignments to help you gain practical experience and skills with a variety of data sets.The projects range from building a dashboard with Python, analyzing socio-economic data with SQL, and performing regression analysis with housing data.

This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.

With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.

This Specialization covers the concepts and tools to understand, analyze, and interpret data from next-generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, and Bioconductor.

This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.

To audit, Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.

WHAT YOU WILL LEARN

- Next generation sequencing experiments

- DNA, RNA and epigenetic patterns

- Genomic technologies

- Genome analysis