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.

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

Google Cloud Professional Cloud Architect certification was ranked #2 on Global Knowledge's list of 15 top-paying certifications in 2021! Enroll now! to prepare!

This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Professional Cloud Architect certification. You'll deploy solution elements, including infrastructure components such as networks, systems, and applications services, and you'll gain real-world experience through hands-on Qwiklabs projects that you can share with potential employers.

You'll also have the opportunity to practice key job skills, including case analysis, identifying technical watchpoints, and developing proposed solutions. Test your basic abilities with Activity Tracking Challenge Labs. For learners looking to get certified, this program will provide sample questions similar to those on the exam, including solutions and practice exam quizzes that simulate the exam-taking experience.

Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers. If you'd like to earn your Google Cloud certification, you will need to register for and pass the certification exam. Please note that this program helps equip you with the skills you need to take the certification exam, but the certification and certification fee is not included in the cost of this training program.

This professional certificate incorporates hands-on labs using our Qwiklabs platform.

These hands-on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

WHAT YOU WILL LEARN

- Learn the skills needed to be successful in a cloud architect role

- Learn about the infrastructure and platform services provided by Google Cloud Platform

- Prepare for the Professional Cloud Architect certification

- Identify the purpose and value of Google Cloud products and services.

This Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services. Once you complete the courses, you will have the opportunity to apply the skills on a real-life capstone project setup in partnership with Grainger. They are a global B2B supplier of Maintenance Repair and Organization supplies, ranked No. 13 in the Internet Retailer 2015 Top 500 Guide.

For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.

In the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.

The second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.

The third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.

At the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning. Through the assignments of this specialisation you will use the skills you have learned to produce mini-projects with Python on interactive notebooks, an easy to learn tool which will help you apply the knowledge to real world problems. For example, using linear algebra in order to calculate the page rank of a small simulated internet, applying multivariate calculus in order to train your ow

This specialization provides an introduction to corporate finance and accounting, emphasizing their application to a wide variety of real-world situations spanning personal finance, corporate decision-making, financial intermediation, and how accounting standards and managerial incentives affect the financial reporting process.

It begins with concepts and applications like time value of money, risk-return tradeoff, retirement savings, mortgage financing, auto leasing, asset valuation, and many others. The specialization uses Excel to make the experience more hands-on and help learners understand the concepts more directly. From valuing claims and making financing decisions, to elements of a basic financial model, the coursework provides a solid foundation for corporate finance.

The specialization then moves to financial accounting, enabling learners to read financial statements and understand the language and grammar of accounting. The coursework introduces bookkeeping fundamentals, accrual accounting, and cash flow analysis, among many else! Finally, using the foundational knowledge of accounting, the specialization teaches learners how to understand and analyze key information that companies provide in their statements, including types of assets and liabilities and longer-term investments and debts, and finally the difference between tax reporting and financial reporting.

This specialization uses a series of homework, quizzes, and an optional Excel spreadsheet to help learners gain a more comprehensive understanding of essential concepts of corporate finance and accounting. The coursework introduces bookkeeping fundamentals, accrual accounting, cash flow analysis, and more! From valuing claims and making financing decisions, to elements of a basic financial model, the coursework provides a solid foundation for corporate finance.

WHAT YOU WILL LEARN

- Discounting and compounding arbitrary cash flow streams in order to value different claims and make better financial decisions.

- Classification of cash flows into operating, investing, and financing activities

- Difference between NPV and Internal Rate of Return (IRR)

- How companies account for investments in debt and equity securities

This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.

You will have lots of opportunities to practice. You will also learn ways to reason about program execution so that it is no longer mysterious and you are able to debug programs when they don’t work.

By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.

This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice so that you can proceed with confidence to specializations like Applied Data Science with Python.

But it is also appropriate as the first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.

By the end of the second course, you will create a simple sentiment analyzer that counts the number of positive and negative words in tweets. In the third course, you will mash up two APIs to create a movie recommender. The final course, Python Project: pillow, tesseract, and OpenCV (Course 5), is an extended project in which you'll perform optical character recognition (OCR) and object detection in images.

WHAT YOU WILL LEARN

- How to inspect and understand APIs and third-party libraries to be used with Python 3

- How to apply the python tesseract (py-tesseract) library with Python 3 in order to detect text in images through optical character recognition (OCR)

- How to apply the Python imaging library (pillow) to open, view, and manipulate images, including cropping, resizing, recoloring, and overlaying text

- How to apply the open-source computer vision library (OpenCV) to detect faces in images, & how to crop and manipulate these faces into contact sheets