Coursera Courses |
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Data Science Fundamentals for Data Analysts (Coursera) https://www.coursera.org/learn/data-science-fundamentals-for-data-analysts In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! With the help of our industry-leading data scientists, we’ve designed this course to build ready-to-apply data science skills in just 15 hours of learning. First, we’ll give you a quick introduction to data science - what it is and how it is used to solve real-world problems. For the rest of the course, we'll teach you the skills you need to apply fou |
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Data Science in Real Life (Coursera) https://www.coursera.org/learn/real-life-data-science Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real |
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Data Science in Stratified Healthcare and Precision Medicine (Coursera) https://www.coursera.org/learn/datascimed An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of worki |
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Data Science Math Skills (Coursera) https://www.coursera.org/learn/datasciencemathskills Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time. Learners who complete this course wi |
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Data Science Methodology (Coursera) https://www.coursera.org/learn/data-science-methodology If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or simil |
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Data Science Project: MATLAB for the Real World (Coursera) https://www.coursera.org/learn/matlab-capstone Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. You will choose your own pathway to answer key questions with the provided data. To complete the project, you must have mastery of the skills covered in other courses in the specialization. The project will test your ability to import and explore your data, |
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Data Science with R - Capstone Project (Coursera) https://www.coursera.org/learn/data-science-with-r-capstone-project In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate. For this project, you will assume the role of a Data Scientist who has recently joined an organization and be presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on |
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Data Scientist Career Guide and Interview Preparation (Coursera) https://www.coursera.org/learn/career-guide-and-interview-prep-for-data-science-pc Data science professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data scientist position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter a |
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https://www.coursera.org/learn/data-security If you are an associate-level cybersecurity analyst who is working in security operation centers, this course will help you explore data type categories in context to network security analytics. By the end of the course, you will be able to: • Explain the data that is available to the network security analysis •Describe the various types of data used in monitoring network security • Describe the deployment and use of SIEMs to collect, sort, process, prioritize, store, and report alarms • De |
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Data Storage in Microsoft Azure (Coursera) https://www.coursera.org/learn/data-storage-microsoft-azure Azure provides a variety of ways to store data: unstructured, archival, relational, and more. In this course, you will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud. This course part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interest |
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Data Storage in Microsoft Azure for Associate Developers (Coursera) https://www.coursera.org/learn/data-storage-microsoft-azure-developers Azure provides a variety of ways to store data: unstructured, archival, relational, and more. In this course, you will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud. This course part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interest |
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Data Structures & Backend with Java (Coursera) https://www.coursera.org/learn/data-structures--backend-with-java This comprehensive course delves deep into the nuances of data structures and backend development with Java. The curriculum is strategically designed across three core modules, seamlessly bridging the understanding of theory with practical application. In the first module, we delve into Java-based data structures, focusing on arrays, multi-dimensional arrays, the String class, and the Java Collections Framework. You'll gain a foundational understanding of efficient data storage and manipulation |
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Data Structures and Design Patterns for Game Developers (Coursera) https://www.coursera.org/learn/data-structures-design-patterns This course is a stand-alone course that builds on the knowledge included in the C# Programming for Unity Game Development Specialization, so the course assumes you have the prerequisite knowledge from that Specialization. You should make sure you have that knowledge, either by taking those courses or from personal experience, before tackling this course. Throughout this course you'll build on your foundational C# and Unity knowledge by developing more robust games with better object-oriented de |
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Data Visualization and Communication with Tableau (Coursera) https://www.coursera.org/learn/analytics-tableau One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevan |
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Data Visualization and Dashboards with Excel and Cognos (Coursera) https://www.coursera.org/learn/data-visualization-dashboards-excel-cognos Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code. You'll start by creating simple charts in Excel such as line, pie and bar charts. You will then create more advanced visualizations with Treemaps, Scatter Cha |
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Data Visualization Best Practices (Coursera) https://www.coursera.org/learn/data-visualization-best-practices In this course, we will cover the basics of visualization and how it fits into the Data Science workflow. We will focus on the main concepts behind the purpose of visualization and the design principles for creating effective, easy-to-communicate results. You will also set up your Tableau environment, practice data loading, and perform univariate descriptive analysis of the S&P 500 stock sectors. |
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Data Visualization Capstone (Coursera) https://www.coursera.org/learn/data-visualization-capstone Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidatin |
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Data Visualization in Excel (Coursera) https://www.coursera.org/learn/excel-data-visualization In an age now driven by "big data", we need to cut through the noise and present key information in a way that can be quickly consumed and acted upon making data visualization an increasingly important skill. Visualizations need to not only present data in an easy to understand and attractive way, but they must also provide context for the data, tell a story, achieving that fine balance between form and function. Excel has many rivals in this space, but it is still an excellent choice, particula |
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Data Visualization in R with ggplot2 (Coursera) https://www.coursera.org/learn/jhu-data-visualization-r Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidatin |
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Data Visualization with Advanced Excel (Coursera) https://www.coursera.org/learn/advanced-excel In this course, you will get hands-on instruction of advanced Excel 2013 functions. You’ll learn to use PowerPivot to build databases and data models. We’ll show you how to perform different types of scenario and simulation analysis and you’ll have an opportunity to practice these skills by leveraging some of Excel's built in tools including, solver, data tables, scenario manager and goal seek. In the second half of the course, will cover how to visualize data, tell a story and explore data b |
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Data Visualization with Python (Coursera) https://www.coursera.org/learn/python-for-data-visualization One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. This course will teach you to work with many Data Visualization tools and techn |
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Data Visualization with R (Coursera) https://www.coursera.org/learn/data-visualization-r In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another data visualization package for R called Leaflet to create map plots, a unique way to plot data ba |
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Data Visualization with Tableau Project (Coursera) https://www.coursera.org/learn/dataviz-project In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that wi |
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Data Warehouse Concepts, Design, and Data Integration (Coursera) https://www.coursera.org/learn/dwdesign This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. These are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integratio |
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Data Warehousing and Business Intelligence (Coursera) https://www.coursera.org/learn/data-warehousing-business-intelligence This course builds on “The Nature of Data and Relational Database Design” to extend the process of capturing and manipulating data through data warehousing and data mining. Once the transactional data is processed through ETL (Extract, Transform, Load), it is then stored in a data warehouse for use in managerial decision making. Data mining is one of the key enablers in the process of converting data stored in a data warehouse into actionable insight for better and faster decision making. By t |
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Data Warehousing with Microsoft Azure Synapse Analytics (Coursera) https://www.coursera.org/learn/data-warehousing-with-microsoft-azure-synapse-analytics In this course, you will explore the tools and techniques that can be used to work with Modern Data Warehouses productively and securely within Azure Synapse Analytics. You will learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns and how the common schema is implemented in a data warehouse. You'll learn the best practices you need to adopt to load data into a data warehouse and the techniques that you can use to optimize query performance wit |
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Data Wrangling, Analysis and AB Testing with SQL (Coursera) https://www.coursera.org/learn/data-wrangling-analysis-abtesting This course allows you to apply the SQL skills taught in “SQL for Data Science” to four increasingly complex and authentic data science inquiry case studies. We'll learn how to convert timestamps of all types to common formats and perform date/time calculations. We'll select and perform the optimal JOIN for a data science inquiry and clean data within an analysis dataset by deduping, running quality checks, backfilling, and handling nulls. We'll learn how to segment and analyze data per segment |
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Data, Security, and Privacy (Coursera) https://www.coursera.org/learn/data-security-privacy This course provides hands-on experience with technology-based productivity tools, as well as foundational knowledge and understanding of system design and development. The course is designed to integrate concepts of hardware, software, and the Internet. This course also provides an overview of data security, data privacy, and ways to increase productivity and efficiency. Students will also investigate technology career paths and some of the various certifications available in the industry. |
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Data-driven Astronomy (Coursera) https://www.coursera.org/learn/data-driven-astronomy Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to |
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Data-driven Decision Making (Coursera) https://www.coursera.org/learn/decision-making Welcome to Data-driven Decision Making. In this course, you'll get an introduction to Data Analytics and its role in business decisions. You'll learn why data is important and how it has evolved. You'll be introduced to “Big Data” and how it is used. You'll also be introduced to a framework for conducting Data Analysis and what tools and techniques are commonly used. Finally, you'll have a chance to put your knowledge to work in a simulated business setting. This course was created by Pricewate |
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Data-Driven Decisions with Power BI (Coursera) https://www.coursera.org/learn/data-driven-decisions-with-power-bi New Power BI users will begin the course by gaining a conceptual understanding of the Power BI desktop application and the Power BI service. Learners will explore the Power BI interface while learning how to manage pages and understand the basics of visualizations. Learners can download a course dataset and engage in numerous hands-on experiences to discover how to import, connect, clean, transform, and model their own data in the Power BI desktop application. Learners will investigate reports, |
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Data-Driven Process Improvement (Coursera) https://www.coursera.org/learn/data-driven-process-improvement By the end of this course, learners are empowered to implement data-driven process improvement objectives at their organization. The course covers: the business case for IoT (Internet of Things), the strategic importance of aligning operations and performance goals, best practices for collecting data, and facilitating a process mapping activity to visualize and analyze a process’s flow of materials and information. Learners are prepared to focus efforts around business needs, evaluate what the o |
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Database Architecture, Scale, and NoSQL with Elasticsearch (Coursera) https://www.coursera.org/learn/database-architecture-scale-nosql-elasticsearch-postgresql In this final course, you will explore database architecture, PostgreSQL, and various scalable deployment configurations. You will see how PostgreSQL implements basic CRUD operations and indexes, and review how transactions and the ACID (Atomicity, Consistency, Isolation, Durability) requirements are implemented. You’ll learn to use Elasticsearch NoSQL, which is a common NoSQL database and a supplement to a relational database to high-speed search and indexing. We will examine Elasticsearch as |
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https://www.coursera.org/learn/database-clients Explore how to write database driven applications in Python by creating various types of clients that connect to MySQL databases using Python code and Python-related MySQL features and tools. By the end of this course, you’ll be able to: - Utilize Python code to create, populate and manipulate MySQL databases and tables - Access advanced functionality in MySQL using custom built Python clients - Develop working familiarity with advanced topics in MySQL - Apply the principles of advance |
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Database Design and Basic SQL in PostgreSQL (Coursera) https://www.coursera.org/learn/database-design-postgresql In this course you will learn more about the historical design of databases and the use of SQL in the PostgreSQL environment. Using SQL techniques and common commands (INSERT INTO, WHERE, ORDER BY, ON DELETE CASCADE, etc) will enable you to create tables, column types and define the schema of your data in PostgreSQL. You will learn about data modeling and how to represent one-to-many and many-to-many relationships in PostgreSQL. Students will do hands-on assignments creating tables, inserti |
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Database Engineer Capstone (Coursera) https://www.coursera.org/learn/database-engineer-capstone In this course you’ll complete a capstone project in which you’ll create a database and client for Little Lemon restaurant. To complete this course, you will need database engineering experience. The Capstone project enables you to demonstrate multiple skills from the Certificate by solving an authentic real-world problem. Each module includes a brief recap of, and links to, content that you have covered in previous courses in this program. In this course, you will demonstrate your new ski |
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Database Management Essentials (Coursera) https://www.coursera.org/learn/database-management Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop |
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Database Structures and Management with MySQL (Coursera) https://www.coursera.org/learn/database-structures-and-management-with-mysql Develop a working knowledge of the MySQL database management system (DBMS). Gain DBMS skills such as data creation, querying and manipulation. You’ll gain further experience with SQL statements, clauses and data types. By the end of this course, you’ll be able to: - Utilize the MySQL DBMS to build and modify relational databases with SQL - Add records to a MySQL database - Perform intricate queries on database records with filters and groupings - Create simple joins and unions within a |
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Databases and SQL for Data Science with Python (Coursera) https://www.coursera.org/learn/sql-data-science Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases. In this course you will learn SQL inside out- from the very basics of Select statements to advanced concepts like JOINs. You will: -write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE -filte |
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DataOps Methodology (Coursera) https://www.coursera.org/learn/ibm-data-ops-methodology DataOps is defined by Gartner as "a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and consumers across an organization. Much like DevOps, DataOps is not a rigid dogma, but a principles-based practice influencing how data can be provided and updated to meet the need of the organization’s data consumers.” The DataOps Methodology is designed to enable an organization to utilize a repeatable process to b |
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DDHH y democracia: una visión desde América Latina (Coursera) https://www.coursera.org/learn/derechos-humanos-democracia-america-latina Este curso busca desarrollar competencias y promover nuevos liderazgos y ciudadanías activas en defensa de la democracia y los derechos humanos. Para tal efecto, el curso recoge y difunde conocimiento académico especializado, pero lo presenta de manera sencilla para que llegue a audiencias amplias y diversas. El curso invita a entender la democracia y los derechos humanos como apuestas centrales de una sociedad incluyente y justa, y brinda algunas estrategias para el cambio social. En Latinoamé |
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DDoS Attacks and Defenses (Coursera) https://www.coursera.org/learn/ddos-attacks-and-defense In this MOOC, you will learn the history of DDoS attacks and analyze new Mirai IoT Malware and perform source code analysis. you will be provided with a brief overview of DDoS Defense techniques. You learn an Autonomous Anti-DDoS Network called A2D2 for small/medium size organizations to deal with DDoS attacks. A2D2 uses Linux Firewall Rate limiting and Class Based Queueing, and subnet flood detection to handle various DDoS traffic types. You learn the new Intrusion tolerance paradigm with |
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De curtidas a leads: como interagir com os clientes on-line (Coursera) https://www.coursera.org/learn/de-curtidas-a-leads-como-interagir-com-os-clientes-on-line De curtidas a leads: como interagir com os clientes on-line é o terceiro dos sete cursos do Certificado de Marketing Digital e E-commerce do Google. Este curso ajudará você a desenvolver estratégias de marketing nas mídias sociais. A mídia social é um canal de marketing digital fundamental para muitas empresas devido ao grande número de pessoas que usam essas plataformas para socializar, interagir com empresas e compartilhar conteúdos. Nenhuma estratégia de marketing digital está completa sem um |
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De me gusta a leads: interactúa con las y los clientes en línea (Coursera) https://www.coursera.org/learn/de-me-gusta-a-leads-interactua-con-las-y-los-clientes-en-linea “De me gusta a leads: interactúa con las y los clientes en línea” es el tercero de siete cursos del Certificado de Carrera de Google en Marketing Digital y Comercio Electrónico. Este curso te ayudará a desarrollar estrategias de marketing en redes sociales. Las redes sociales son un canal clave de marketing digital para muchas empresas, debido a la gran cantidad de personas que las utilizan para socializar, interactuar con las empresas y compartir contenido. Ninguna estrategia de marketing digit |
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De-Mystifying Mindfulness (Coursera) https://www.coursera.org/learn/mindfulness Interest in meditation, mindfulness, and contemplation has grown exponentially in recent years. Rather than being seen as mystical practices from ancient Buddhism or esoteric philosophy, they are increasingly seen as technologies rooted in evidence from psychology and neuroscience. Mindfulness has become the basis for numerous therapeutic interventions, both as a treatment in healthcare and as a means of enhancing well-being and happiness. For millions around the world, mindfulness has become |
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Dealing With Missing Data (Coursera) https://www.coursera.org/learn/missing-data This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages wil |
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Début du processus de conception UX : Empathie, définition et formulation d’idées (Coursera) Début du processus de conception UX : Empathie, définition et formulation d’idées est le deuxième cours de cette formation certifiante qui vous dotera des compétences nécessaires pour postuler à des emplois de Concepteur UX débutant. Dans le cours 2, vous terminerez les premières étapes du processus de conception d'un projet que vous pourrez inclure dans votre portfolio. Vous apprendrez à faire preuve d’empathie avec les utilisateurs et à comprendre leurs difficultés, à définir les besoins des u |
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Decentralized Applications (Dapps) (Coursera) https://www.coursera.org/learn/decentralized-apps-on-blockchain This third course of the Blockchain specialization prepares you to design and develop end-to-end decentralized applications (Dapps) – which provide anyone with access to the blockchain’s features and services. You will use Truffle IDE, smart contracts, a simple web client and a MetaMask client. You will learn about the architecture of a Dapp: the front-end client interface, backed by the blockchain and smart contracts. The course covers the basic design of a Dapp, Truffle development process and |
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Decentralized Finance (DeFi) Deep Dive (Coursera) https://www.coursera.org/learn/decentralized-finance-deep-dive-duke DeFi and the Future of Finance is a set of four courses that focus on decentralized finance. The third course is called DeFi Deep Dive. It is essential that you do the first two courses I. DeFi Infrastructure and II. DeFi Primitives before doing this course. It is the longest of the four courses and focuses on some of the leading protocols in the DeFi space. We will look at Credit and Lending (and feature MakerDAO, Compound and Aave), Decentralized Exchange with an analysis of how protocols like |
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Decentralized Finance (DeFi) Infrastructure (Coursera) https://www.coursera.org/learn/decentralized-finance-infrastructure-duke Decentralized Finance: The Future of Finance is a set of four courses taught by Campbell R. Harvey (Professor of Finance at the Fuqua School of Business, Duke University, and a Research Associate of the National Bureau of Economic Research) that focus on decentralized finance (DeFi). In this first course, we begin by exploring the origins of DeFi and take a broad historical view from the earliest barter economies, such as the first peer-to-peer exchanges of bartering, to present day. The course |