Learn the basics of bitcoin and other cryptocurrency, including how they are created and mined.The digital revolution has impacted almost every aspect of our lives, including the way money is made, stored, and used. Cryptocurrency is the latest trend. It is a completely decentralized form of digital money, that is created and exchanged without the intervention of traditional financial institutions. Bitcoin, the most popular form, is on its way to becoming a legitimate global currency. This short course is for anyone who wants to understand the basics of how cryptocurrencies are created, traded, and mined. Dr. Jonathan Reichental reviews the underlying technologyâblockchain databases, hashing, and cryptographyâand explains how anyone can create a form of cryptocurrency and offer it for use. He also discusses the process of mining and the hardware and software needed to become a cryptocurrency miner.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this 1-hour long project-based course, you are going to be able to perform centrality network analysis and visualization on educational datasets, to generate different kinds of random graphs which represents social networks, and to manipulate the graph and subgraph structures, allowing you to break and get insights on complex structures.This guided project is for people who want to incorporate network data science skills into their technology portfolio. This is a topic of interest to researchers, marketers, consultants and practitioners associated with the knowledge areas of social science, marketing, social media, operational research and complexity science.Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Educational administration is a process that includes the combined operation through which a country is maintained in good working conditions. It is a process of utilizing appropriate material in such a way as to promote effectively the development of human qualities. It includes all those techniques and procedures employed in operating the educational organization in accordance with established policies. Here the totality of resources are made available and made effective for accomplishing the purpose of an enterprise. Educational administration includes functions like planning, organizing, financing, directing, supervising, inspecting and evaluation. It is also concerned with elements like setting up of goals of education, review, feedback and innovation.Management in businesses and organizations is the function that coordinates the efforts of people to accomplish goals and objectives by using available resources efficiently and effectively. Management includes planning, organizing, staffing, leading or directing, and controlling an organization to accomplish the goal or target. Resourcing encompasses the deployment and manipulation of human resources, financial resources, technological resources, and natural resources.Leadership is both a research area and a practical skill encompassing the ability of an individual or organization to "lead" or guide other individuals, teams, or entire organizations.The course- Perspectives, issues and research in teacher education is a 60 hour 4 credit course having 36 modules. The time distribution will be as follows:Self Study through Video & Text - 35 hoursParticipation in discussion forum - 05 hoursWeb Search/ Library Search - 10 hoursAssessment/Assignment - 10 hours
This course is about learning the concept of educational technology. What comes to our mind when you hear the term educational technology? Maybe computer, digital tools, internet, mobile phones, smart boards, electric gadgets, etc.?? Is educational technology only about these tools and gadgets? Definitely not. It is not restricted to these tools only but encompasses everything that enhances teaching and learning. It helps in improving teaching learning process and reaching the pre-set goals of education through systematic organization of learning procedures and processes. For new generation learners, it is required to have a sound knowledge of educational technology and its effect on teaching-learning process. In this course, we will be studying about Introduction of Educational Technology, Classroom Communication and Teaching Aids, Instructional Techniques and Phases, levels and Models of Teaching and Understand the concept, approaches and significance of educational technology and explain the role of communication in the field of education.
Learn how to collect and analyze financial information to evaluate economic conditions. The role of the economist is vital to helping businesses make decisions by understanding the current, and potential, economic environment.Discover how the economy works and which factors influence it.Analyze financial data to determine how it may impact an organization.Evaluate how economic models could influence business decisions.
Learn how to use the Python scientific stack to complete data science tasks. Find out how to work with pandas for data crunching, NumPy for numeric computation, and more.Data science provides organizations with strikingâand highly valuableâinsights into human behavior. While data mining can seem a bit daunting, you don't need to be a highly-skilled programmer to process your own data. In this hands-on course, learn how to use the Python scientific stack to complete common data science tasks. Miki Tebeka covers the tools and concepts you need to effectively process data with the Python scientific stack, including Pandas for data crunching, matplotlib for data visualization, NumPy for numeric computation, and more.IntroductionWelcomeWhat you should knowMac setupWindows setupLinux setupHow to use the exercise files1. Scientific Python OverviewRamp up with Scientific Python2. The Jupyter NotebookStart the notebook serverUse code cellsExtensions to Python languageUnderstand markdown cellsEdit notebooks3. NumPy BasicsOverview: NumPyNumPy arraysSlicingLearn Boolean indexingUnderstand broadcastingUnderstand array operationsUnderstand ufuncs4. PandasPandas overviewLoad CSV filesParse timeAccess rows and columnsUse pure Python packagesCalculate speedDisplay a speed box plot5. CondaIntroduction to Python packagesManage environments6. Folium and GeoCreate an initial mapDraw a track on the mapUse geo data with ShapelyGenerate a report7. NY Taxi DataExamine dataLoad data from CSV filesWork with categorical dataWork with data: Hourly trip ridesWork with data: Rides per hourWork with data: Weather data8. scikit-learnIntroduction: scikit-learnLearn regression on Boston datasetUnderstand train/test splitsPreprocess dataCompose pipelinesSave and load models9. PlottingOverview: matplotlibUse stylesCustomize Pandas outputUse matplotlibTips and tricksUnderstand bokeh10. Other PackagesOther packages overviewGo faster with Numba and CythonUnderstand deep learningWork with image processingUnderstand NLP: NLTKUnderstand NLP: SpaCyBigger data with HDF5 and dask11. Development ProcessOverviewUnderstand source controlLearn code reviewTesting overviewTesting exampleConclusionNext steps
The widespread popularity of digital cryptocurrencies has led the foundation of Blockchain, which is fundamentally a public digital ledger to share information in a trustworthy and secure way. The concept and applications of Blockchain have now spread from cryptocurrencies to various other domains, including business process management, smart contracts, IoT and so on.This course is a joint venture from academia and industry, where the target is to cover both the conceptual as well as application aspects of Blockchain. This includes the fundamental design and architectural primitives of Blockchain, the system and the security aspects, along with various use cases from different application domains.INTENDED AUDIENCE : CSE, ECE, EE, MATHSPREREQUISITES : NILINDUSTRY SUPPORT : IT Industries COURSE LAYOUT Week 1Introduction to Blockchain – I (Basics, History, Architecture, Conceptualization)Basic Crypto PrimitivesWeek 2Basic Crypto Primitives Continued..Bitcoin BasicsDistributed ConsensusWeek 3Consensus in Bitcoin – I (The Basics, PoW and Beyond, The Miners)Permissioned Blockchain (Basics, Consensus)Week 4Permissioned Blockchain(RAFT Consensus, Byzantine General Problem, Practical Byzantine Fault Tolerance)Blockchain for Enterprise - OverviewBlockchain Components and ConceptsWeek 5Hyperledger Fabric – Transaction FlowHyperledger Fabric DetailsFabric – Membership and Identity ManagementHyperledger Fabric Network SetupFabric Demo on IBM Blockchain CloudWeek 6Fabric Demo on IBM Blockchain Cloud continued..Fabric Demo, deploy from scratchHyperledger Composer – Application DevelopmentHyperledger Composer – Network AdministrationBlockchain Use CasesWeek 7Blockchain in Financial Service(Payments and Secure Trading, Compliance and Mortgage, Financial Trade)Revolutionizing Global TradeBlockchain in Supply ChainWeek 8Blockchain in Supply Chain Continued..Blockchain in Other IndustriesBlockchain in Government (Advantages, Use Cases, Digital Identity)Week 9Blockchain in Government(Hyperledger Indy, Tax Payments and Land Registry Records)Blockchain Security (Overview, Membership and Access control in Fabric,Privacy in Fabric)Week 10Blockchain Security(Fabric SideDB)Research Aspects(Consensus Scalability, Bitcoin-NG, Collective Signing, Byzcoin)Week 11Research Aspects(Algorand,Cross Fault Tolerance, Secured Multi-Party Computation)Blockchain for Science (Blockchain for Big Data,Blockchain and AI)Week 12Comparing Ecosystems – EthereumComparing Ecosystems – Ethereum development tools and QuorumComparing Ecosystems – Corda Part 1Comparing Ecosystems – Corda Part 2Concluding the course
Learn how to build data-driven web apps with Django, the Python framework that helps you take projects from concept to launch in a matter of hours.With Django, you can take web applications from concept to launch in a matter of hours. It's a free and open-source framework that's designed on top of Python and supports data-driven architecture. In this course, learn what you need to know to get up and running with Django. Instructor Caleb Smith walks through creating a brand-new Django project, defining a data model and fields, querying the database, and using the framework's built-in URL handlers, views, and templates to structure the rest of the back end. Plus, learn how to incorporate CSS and JavaScript to enhance the style and usability of your Django templates.
Learn how to build Django applications using test-driven development.As a high-level Python web framework, Django is very useful for developers to understand. Combining Django with a test-driven development process can lead to higher-quality code and a faster development cycle. In this course, follow along with Nick Walter as he explains test-driven development with Django. Nick explores functional tests and unit tests, discussing the differences. He also covers advanced testing methods, the Django testing framework, hash testing, POST requests, AJAX, and more.
1. To understand the basics of Macro economics2. To create awareness among the students about concepts of money and banking3. To help students to gain an extensive and substantive knowledge on various macroeconomic concepts.4. To make the students know the working of monetary and fiscal policy.5. To make the students aware of the causes and effects some macroeconomic conceptsoperating in the economy like inflation, supply of money, demand for money etc…
Get started with Python, the popular and highly readable object-oriented language.
College level computer programming is difficult to teach. Failure rates in programming courses are high worldwide, and in India it is noted that students are not able to write simple programs despite completing degrees in computer science. This course will consider the following questions.• How do you design the syllabus for an introductory programming course?• How do you teach it so that it captures the attention of students?• How do you design examinations, and programming assignments which are fair and encourage students to learn in the desired manner?We will sketch out a course design, and strategies for teaching the course. It will use the C++ languages, but most ideas will be independent of the language.Important For Certification/Credit Transfer:Weekly Assignments and Discussion Forum can be accessed ONLY by enrolling hereScroll down to Enroll Note: Content is Free!All content including discussion forum and assignments, is freeINTENDED AUDIENCE: Teachers in Computer Science and related departmentsPREREQUISITES: Bachelor’s degree in Computer Science or experience in teaching computer programmingINDUSTRY SUPPORT: Industries that offer training to their employees
Microeconomics: Theory and Applications presents all the standard topics of traditional microeconomic theory. It covers the basic concepts of Modeling Microeconomics, Application: Market Equilibrium, Consumer Equilibrium, Demand function , Consumer Behaviour Applications and Case Study: Market Analysis. INTENDED AUDIENCE : Students of Economics, Commerce, or Management degree programs.PRE-REQUISITES : Knowledge of Calculus (High school level) and Microsoft Excel.INDUSTRY SUPPORT : Any industry that would like to educate their staff on basics of Economics.
Participants in this course will explore various mobile apps (both iOS and Android) and gain familiarity on how to embed them meaningfully in various subject areas while, at the same time, supporting the Common Core Standards. Discussions will focus on sharing ideas, resources, and best practices for using mobile technologies in the classroom. For the culminating project, participants will develop a sample lesson utilizing the apps from the course or additional mobile apps they discovered and share the lesson with the class. In addition, this course is intended to be completed using ONLY a mobile tablet device, either iOS or Android.
Maximize your financial potential by investing in real estate. Learn how to excel as an active or passive investor, set smart goals, develop a success mindset, and more.Have you been thinking about investing in real estate, but aren't sure where to start? In this course, get a step-by-step guide on how to dive into your very first real estate investment deal (and come out successful). Learn how to determine why you want to invest and how real estate can help you reach your financial goals. Discover which real estate investing path is best for you, and identify whether you want to be an active or passive investor. After taking this course, you'll be equipped with key strategies for overcoming barriers and effectively managing your first foray into real estate investing.This course was created by WealthFit. We are pleased to host this content in our library.IntroductionExcel in real estate1. An Overview of Real Estate InvestingIdentifying your personal motivation2. Finding Your REI PathQuestions to ask3. An Investor LifecycleHow to move from an active to a passive investorHow to excel as an active investorHybrid investors and what they doWhy passive investing is the ultimate goal4. Setting Goals for Your Investment PathSet strategic goalsExcel in goal settingSystemize what you want to accomplishPractical ways to achieve goalsHow to categorize your goals5. Developing Your Success MindsetFixed vs. growth mindsets and how they differA mindset to excel6. Growing Your Time Management SkillsThe six keys to time managementBeginning early, seeking help, and delegatingEffective decision-making and planningDeveloping a healthy work/life balanceNext Steps in Real Estate InvestingFactors to consider in real estate investing