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In this specialization, students will be introduced to the fundamentals and history of ESG investing and will take a close look at a range of investment approaches based on environmental, social, and governance factors. You will learn about the five materiality pathways and how they interact with ESG metrics. You will explore the concepts of positive and negative screening and identify ESG factors that cause investors to reject or negatively screen certain assets. Next, you will look at private environmental governance, the active role that private companies play in combating climate change, and the parallels between the public and private sectors. Finally, you will assess the effectiveness of corporate authenticity and the influence of politics in shaping corporate ESG policy, as well as the importance of establishing independent directors to maintain neutrality and protect stakeholder interests. By the end of this specialization, you will understand best practices for creating a robust risk management plan, understand sophisticated indexing and measurement methods used in the ESG space, explore climate disclosure and climate action, and how social activism is impacting the corporate world in the 21st century. Applied learning project Each course module in this specialization concludes with an assessment. These assessments are designed to test learners' knowledge and provide them with the opportunity to apply course concepts such as investment analytics, indexing tools, and critical analysis of ESG policies, activism, and greenwashing. The assessments will be cumulative and cover ESG investing fundamentals, public and private governance, and sustainability factors, allowing you to build a diverse and risk-resilient ESG portfolio.

The job market for business intelligence (BI) analysts is expected to grow 23 percent from 2021 to 2031 (U.S. Bureau of Labor Statistics). This IBM specialization gives you the in-demand skills employers are looking for when hiring a BI analyst. BI analysts collect, clean, and analyze key business data to find patterns and insights that help make business decisions. In this specialization, you'll learn the fundamentals of SQL, focusing on querying relational databases with this popular and powerful language. You'll use core Linux commands to create basic shell scripts . You'll also learn how to create and automate ETL, ELT, and data pipelines using Bash scripts, Apache Airflow, and Apache Kafka . You'll learn why companies use data lakes and data maps, and how to work with a data warehouse . You'll also dive into the useful side of BI by creating interactive reports and dashboards so you can extract value from the data stored in your warehouse. Plus, you'll gain valuable hands-on practice using real tools used by data professionals. Each course is packed with hands-on assignments and includes a project that will give you something to talk about in an interview. Once you complete the full course, you will have a portfolio of projects and a certificate of specialization for your resume and LinkedIn profile . Get started in the in-demand field of business analytics. Enroll today. Applied learning project Using the course's hands-on labs and projects, hosted in cloud environments, you'll gain work-ready experience with the following real-world tools and tasks: - Writing SQL queries and creating joins using PostgreSQL, MySQL and DB2 databases - Executing Commands and Pipes in Linux, Creating Shell Scripts - Scheduling jobs with cron, building ETL and data pipelines, creating and monitoring Airflow DAGs, working with streaming data using Kafka - Designing Data Warehouses Using Star and Snowflake Schemas - Data quality check, loading of staging and production storages - Developing cubes, rollups and materialized views/tables - Create interactive reports and dashboards - Analyze warehouse data using BI tools such as Cognos Analytics

In today’s interconnected world, basic knowledge of IT hardware, software, networking, cybersecurity, and cloud computing is vital for nearly every function or role in an organization. Adding memory, updating an operating system, connecting to a network, recognizing phishing, and configuring cloud technologies are just a few of the skills employees need or need help with. This five-course specialization provides essential skills for nearly every IT job, including technical support specialist, data analyst, data scientist, artificial intelligence specialist, web developer, software engineer, systems administrator, DevOps and site reliability engineer, data center technician, network specialist, IT manager, and cybersecurity analyst. You will gain knowledge and skills in hardware, operating systems, programming, databases, networking, storage, cybersecurity and cloud computing that will prepare you for entry-level IT work or help you better understand and manage IT responsibilities within your organization. In addition to earning an IBM certification upon successful completion of this specialization, it provides the dual benefit of preparing you for the CompTIA IT Fundamentals (IFT+) certification exam, which can validate your skills, helping you gain a competitive advantage. This program is designed for beginners. No prior IT background, programming experience, or cloud skills are required to begin this program. All that is needed is basic computer literacy. Applied learning project These assignments are designed for beginners and allow you to gain the basic skills from each course. You'll use interactive activities and reference materials to identify computer hardware, ports, and peripherals, and review the steps involved in setting up a workstation, installing an operating system, and configuring frequently changed operating system settings. In hands-on labs, you'll use Python to build fundamental programming skills that are relevant in the real world, and learn how to perform basic database operations using MySQL. In additional interactive labs, you'll use the IBM Cloud platform and other interactive techniques to work with custom software, back-end applications, introductory networking concepts, security techniques, and cloud computing types and services.

This is the second course in the Google Data Analytics Certificate. You’ll build on your understanding of the topics that were introduced in the first course of this certificate program. The material will help you learn how to ask effective questions, make data-driven decisions, and meet stakeholders’ needs. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Learn about effective questioning techniques that can help guide analysis. - Gain an understanding of data-driven decision-making and how data analysts present findings. - Explore a variety of real-world business scenarios as an example of questioning and decision-making. - Discover how and why spreadsheets are an important tool for data analysts. - Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions. - Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives.

This course is the first of a series that aims to prepare you for a role as an entry-level IT Support Specialist. In this course, you'll be introduced to the world of Information Technology, or IT. You'll learn about the different faces of Information Technology, like computer hardware, the Internet, computer software, troubleshooting, and customer service. This course covers a wide variety of topics in IT that are designed to give you an overview of what's to come in this certificate program. By the end of this course, you'll be able to: ● understand how the binary system works ● assemble a computer from scratch ● choose and install an operating system on a computer ● understand what the Internet is, how it works, and the impact it has in the modern world ● learn how applications are created and how they work under the hood of a computer ● utilize common problem-solving methodologies and soft skills in an Information Technology setting

In the first year of the Machine Learning Specialization, you will: - Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn - Build and train supervised machine learning models for prediction and binary classification problems, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This specialization is taught by Andrew Ng, an AI visionary who has led landmark research at Stanford University and pioneering work at Google Brain, Baidu, and Landing.AI to advance the field of AI. This three-course specialization is an updated and expanded version of Andrew’s groundbreaking machine learning course, which has received a 4.9 out of 5 stars and has been taken by more than 4.8 million students since its introduction in 2012. The course provides a broad overview of modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for AI and machine learning innovation (model evaluation and tuning, a data-driven approach to improving performance, and more.) By the end of this specialization, you’ll master key concepts and gain the practical know-how to quickly and effectively apply machine learning to solve complex, real-world problems. If you’re looking to enter the AI ​​field or build a career in machine learning, the new Machine Learning specialization is the best place to start.

This specialisation has been designed to combine the latest business research in digital transformation and strategy with the latest technical knowledge of the technologies that are changing the way we work and do business, giving you the opportunity to advance your career. By the end of this specialisation, you will have an understanding of three technologies that are impacting all businesses: artificial intelligence, cloud computing and data science. You will also be able to develop or drive a digital transformation strategy for your business using these technologies. This specialisation will help managers understand technology and technical workers understand strategy, and is ideal for anyone who wants the opportunity to help lead digital transformation and technical and business strategy projects. Applied learning project This specialisation has been designed to combine the latest business research in digital transformation and strategy with the latest technical knowledge of the technologies that are changing the way we work and do business, giving you the opportunity to advance your career. By the end of this specialisation, you will have an understanding of three technologies that are impacting all businesses: artificial intelligence, cloud computing and data science. You will also be able to develop or drive a digital transformation strategy for your business using these technologies. This specialisation will help managers understand technology and technical workers understand strategy, and is ideal for anyone who wants the opportunity to help lead digital transformation and technical and business strategy projects.

Data engineering is one of the fastest growing tech jobs, with demand for skilled data engineers far outstripping supply. The goal of data engineering is to make quality data accessible for fact-finding and data-driven decision making. This specialization from IBM will help anyone interested in a career in data engineering by teaching the fundamental skills needed to get started in the field. No prior data science experience is required to successfully complete this specialization. The specialization consists of 5 self-paced online courses covering the skills needed to work with data, including the data engineering ecosystem and lifecycle, Python, SQL, and relational databases. You’ll learn these essential data engineering skills through engaging videos and hands-on labs using real tools and real databases. You’ll develop your understanding of data engineering, gain skills that are directly applicable to a data engineering career, and build the foundation for your data engineering career. Upon successful completion of these courses, you will gain the practical knowledge and experience needed to delve deeper into data engineering and work on more complex data engineering projects. Applied learning project All specialization courses contain a variety of practical laboratory work and assignments that will help you gain practical experience and skills. Projects range from working with data in different formats, transforming and loading this data into a single source, to analyzing socio-economic data using SQL and working with advanced SQL techniques. You will work with various real databases and tools, including MySQL, PostgresSQL, IBM Db2, PhpMyAdmin, pgAdmin, IBM Cloud, Python, Jupyter notebooks, Watson Studio, etc.

If you want to enter the exciting world of software development, then this Software Engineering Fundamentals specialization is for you. No prior degrees or knowledge of programming or application development are required . According to the U.S. Bureau of Labor and Statistics, software developers are in high demand, earning an average salary of $110,140 per year . With a growth rate of 22% in this field, there’s never been a better time to start a career in software development. This program’s self-paced courses provide the foundation for a wide range of IT and software engineering careers , including web development, mobile app development, front-end, back-end, and full stack application development, software testing and quality assurance (QA), and DevOps engineering. This specialization is packed with engaging videos, hands-on labs, and real-world projects that teach fundamental programming principles and the fundamentals of design, architecture, and deployment; the software development life cycle; Git and GitHub repositories; using the Linux terminal and creating Bash shell scripts to automate various tasks; and coding using the Python programming language . The program is suitable for those who are just starting to study software engineering , or for those who would like to get acquainted with the basics of software engineering. It will prepare you to get acquainted with the culture, technologies, and skills necessary to successfully work in the field of software engineering. Applied learning project - Each course is packed with hands-on labs, interactive activities, and projects so you can build your portfolio while gaining practical knowledge of software engineering concepts. Throughout the program, you will develop software engineering skills. Projects include:. - Review job postings to learn about software engineering skills and requirements. - Use Git and GitHub commands to create an open source project, work with branches, merge code, and make pull requests (PRs). - Write a Bash shell script in Linux that creates backups of modified files and schedules it to run every 24 hours using Crontab. - Coding in Python using lists, tuples, dictionaries, sets, conditions, branching, loops, functions, exception handling, objects and classes, web services and APIs, and the NumPy and Pandas libraries. - Develop a Python web application that uses IBM Watson for language translation, including writing unit tests and packaging the application for distribution.

Artificial intelligence is the future of programming. Learn how to use AI tools in practice today. In this course I will show you: - how you develop software with ChatGPT or how AI programs for you . - how to integrate AI into your development environment and develop faster with GitHub Copilot. - how you can use AI to easily translate existing code into other programming languages . - How ChatGPT analyzes technical errors and suggests solutions - the days of Stackoverflow are over! - how AI simplifies your code and rewrites it according to clean code principles . It is a practical course for the daily work as a software developer . We focus on the practical use of AI tools instead of talking about general or theoretical topics from the field of artificial intelligence. AI helps us programmers best when it is integrated directly into the development environment. GitHub Copilot is currently one of the best and most popular AI tools as a plugin for IntelliJ, Visual Studio Code or other development environments. Copilot suggests code, explains existing code, fixes bugs or helps with automated tests. I'll show you the first steps with GitHub Copilot in the course, and more videos are still in the works and will be added later. The examples and exercises in the course are written in the Java programming language and with the Spring Framework. However, the principles and use cases shown apply to all languages. As a software developer and architect, I have been programming for over 15 years. At Deutsche Telekom, I am one of the pioneers in the AI4Coding community. We have developed internal training courses on the topic of AI for developers. In this course, I will let you take part in it in a detailed and optimized form.

Midjourney is a design assistance tool based on artificial intelligence technology. It can help industrial designers generate design concept drawings faster and improve design quality and efficiency. Now, you can learn how to operate Midjourney and how to apply AI drawing technology to assist in the generation of design concept drawings. In this introductory course, you will learn how to register a Midjourney account, log in to the Midjourney platform, and how to start generating design concepts. You will learn how to choose different design styles and themes, add your own design elements, and quickly generate design concept drawings in Midjourney's design concept tool. Additionally, you'll learn how to save your design concepts as finished drawings or line drawings and download them to your computer. This will make it easier for you to share design concept drawings with your clients and colleagues, and better showcase your design ideas and creativity. The Midjourney introductory course will help you quickly master how to operate Midjourney, and understand how to apply AI drawing technology to assist in the generation of design concept drawings. Not only that, this course will also make you a better industrial designer and make your designs more professional, innovative and competitive. Join the Midjourney introductory course now and start learning how to use Midjourney and AI drawing technology to improve your design efficiency and quality, and create more amazing design works!

The course "ChatGPT, Midjourney and Top AI Tools" is designed to give you a comprehensive look at how to apply ChatGPT and the most advanced Generative AI tools today . With the rapid development of technology, AI tools have become an indispensable part in many fields, from science, business, education, to art and entertainment. This course will help you understand and effectively apply these great Generative AI tools to improve your work performance and creativity . Part 1: General Introduction to the Course In the first part of the course, you will be introduced to an overview of the course and how to learn it. Next, you will get an overview of AI and Generative AI , two important concepts in the field of AI. Part 2: Overview of ChatGPT ChatGPT is one of the most powerful AI tools available today, developed by OpenAI. This section will guide you from the most basic knowledge of ChatGPT, how it works, to how to register and use it. You will be introduced to OpenAI's latest GPT model, GPT-4o. You will learn how to upgrade to ChatGPT Plus to experience more advanced features. You will also be introduced to the user interface of ChatGPT and ChatGPT Plus , along with how to use ChatGPT on mobile phones . You will also be introduced to Prompt in ChatGPT . Finally, you will be answered some frequently asked questions about ChatGPT so that you can use this tool with confidence. Part 3: Prompt Engineering - The Art of Creating Effective Prompts Prompt Engineering is an important technique for generating desired results for Generative AI tools. This section will help you understand Prompt Engineering , its key principles, and techniques such as Zero Shot, One Shot, and Few Shot Prompting . You will learn how to ask ChatGPT to role-play, change the tone, format, and adjust the length of the response to get the best response from the AI. You will also be introduced to the RGCG Prompt Formula , a special formula for generating effective prompts. specific and clear. This section also includes the process of testing, evaluating, and iterating to get the expected results from ChatGPT. Part 4: Midjourney: Creating Art with Advanced AI Midjourney is a powerful AI tool that helps you create impressive works of art. This section will guide you through creating a Discord account and signing up for Midjourney, along with instructions on how to use Midjourney . You will also learn about features like Remix Mode and Vary Region , and how to create effective prompts in Midjourney. You will also learn how to use ChatGPT to create prompts , and the Shorten command to shorten and optimize prompts. You will also learn how to create prompts using Community Showcase , and how to use images in prompts to create the images you want. This section also covers important parameters like Version, Stylize, Aspect Ratios, No, and Quality to affect the images generated by Midjourney, you will also learn the Settings command to customize and optimize settings in Midjourney, and the Describe command to create prompts from images. Part 5: Other Cutting-Edge AI Tools In addition to ChatGPT and Midjourney, there are many other great AI tools that you will also discover. This part will introduce other leading Generative AI tools such as Gemini , a powerful Generative AI tool similar to Google's ChatGPT. You will also learn about Copilot , an AI assistant from Microsoft similar to ChatGPT or Gemini, followed by Designer , a powerful AI tool that supports graphic design. Next is DALL-E 3 integrated into ChatGPT Plus, one of the most advanced AI tools that allows you to create amazing images from text. This DALL-E 3 part will guide you on how to use DALL-E 3 and how to create characters consistent with Gen IDs. Finally, you will also be introduced to some other AI tools that you can apply in life and expand your creativity. Benefits of taking the course By taking this course, you will gain many benefits such as understanding AI and Generative AI, improving your skills in using Generative AI tools and knowing a variety of different Generative AI tools. You can also increase your work efficiency by automating and optimizing processes , promoting creativity by creating unique and novel works of art. In addition, you will be able to practically apply the knowledge and skills learned to work and daily life through examples throughout the course, which will completely change the way you work, learn and create. Especially when coming to this course you will have lifetime access to : - 54 lectures in the course - 5.5 hours of video lectures - 20 downloadable documents - New updates in the future AI is changing the way we work and innovate, and the course "ChatGPT, Midjourney and Top AI Tools" will help you grasp and effectively apply these technologies. Join the course today to explore and apply leading Generative AI tools, thereby saving time, automating processes, and improving your work efficiency as well as creativity.