Today’s Course – Level 3 Diploma in Coaching & Mentoring

About this course - In this coaching and mentoring diploma, you will learn how coaching and mentoring work. You will familiarise yourself with the GROW model and learn how to set goals through the SMART technique of goal setting. You will also learn the benefits of building and fostering trust with clients and employees, which will contribute to a more positive working environment. Through this online course, you will learn how to enable long-term development benefits through positive mentoring relationships and will learn strategies for overcoming roadblocks.


This certificate in coaching and mentoring is ideal for line managers, and will help you develop into a more all-around positive person; you won’t just motivate others, but yourself as well. By the end of this course, you’ll have the professional development, knowledge, and skills to start making a positive difference in the lives of those around you.


Who is the course for?

➡️Coaching or mentoring professionals who want to upgrade their skills

➡️People who have an interest in learning how to coach and mentor


🔺 Language – English


🔗Go to Course Link - https://bit.ly/3gVMr3d


Comment #KeepLearning if you're interested in E-learning!


Advanced Deployment Scenarios with TensorFlow

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this final course, you’ll explore four different scenarios you’ll encounter when deploying models. You’ll be introduced to TensorFlow Serving, a technology that lets you do inference over the web. You’ll move on to TensorFlow Hub, a repository of models that you can use for transfer learning. Then you’ll use TensorBoard to evaluate and understand how your models work, as well as share your model metadata with others. Finally, you’ll explore federated learning and how you can retrain deployed models with user data while maintaining data privacy. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Applied Data Science Specialization

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

This action-packed Specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. If you’re interested in pursuing a career in data science, and already have foundational skills or have completed the Introduction to Data Science Specialization, this program is for you! This 4-course Specialization will give you the tools you need to analyze data and make data driven business decisions leveraging computer science and statistical analysis. You will learn Python–no prior programming knowledge necessary–and discover methods of data analysis and data visualization. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making. Through guided lectures, labs, and projects in the IBM Cloud, you’ll get hands-on experience tackling interesting data problems from start to finish. Take this Specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning. 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 applied data science. This Specialization can also be applied toward the IBM Data Science Professional Certificate.

Applied Data Science with Python Specialization

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

Applied Data Science with Python Specialization

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistically, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

Machine Learning in Python

Machine Learning in Python builds upon the statistical knowledge you have gained earlier in the program. This course focuses on predictive modeling and enters multidimensional spaces which require an understanding of mathematical methods, transformations, and distributions. The course introduces these concepts as well as complex means of analysis such as clustering, factoring, Bayesian inference, and decision theory while also allowing you to exercise your Python programming skills.

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.


Persistence with Hibernate Certification Training

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

A self-paced course designed to give you an understanding of the fundamental concepts of Hibernate, solve complex RDBMS problems and enhance your skills to become a Hibernate expert.

Please stay with us:

Website: http://coursenator.com/

Facebook: https://www.facebook.com/Coursenator

Instagram: https://www.instagram.com/coursenator

Telegram: https://t.me/ElearnersFreeCourses

Youtube: https://www.youtube.com/channel/UCpcUP0NzPTZKaEnKXl1mVpg

Linkedin: https://www.linkedin.com/company/coursenator/

Relational database systems

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

Welcome to the specialization course Relational Database Systems. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how several types of information systems and databases are available to solve different problems and needs of the companies. Objective: A learner will be able to design, test, and implement analytical, transactional or NoSQL database systems according to business requirements by programming reliable, scalable and maintainable applications and resources using SQL and Hadoop ecosystem. Programming languages: For course 1 you will use the MYSQL language. Software to download: MySQL Workbench In case you have a Mac / IOS operating system you will need to use a virtual Machine (VirtualBox, Vmware).

Please stay with us:

Website: http://coursenator.com/

Facebook: https://www.facebook.com/Coursenator

Instagram: https://www.instagram.com/coursenator

Telegram: https://t.me/ElearnersFreeCourses

Youtube: https://www.youtube.com/channel/UCpcUP0NzPTZKaEnKXl1mVpg

Linkedin: https://www.linkedin.com/company/coursenator/

Designing data-intensive applications

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

Welcome to the specialization course of Designing data-intensive applications. This course will be completed on four weeks, it will be supported with videos and exercises. By the end of this specialization, learners will be able to propose, design, justify and develop high reliable information systems according to type of data and volume of information, response time, type of processing and queries in order to support scalability, maintainability, security and reliability considering the last information technologies. Software to download: MySQL Workbench Rapidminer Hadoop framework Hortonworks MongoDB In case you have a Mac / IOS operating system you need to perform an action called VirtualBox.

Business intelligence and data warehousing

Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses. You will be able to understand the problem of integration and predictive analysis of high volume of unstructured data (big data) with data mining and the Hadoop framework. After completing this course, a learner will be able to ● Create a Star o Snowflake data model Diagram through the Multidimensional Design from analytical business requirements and OLTP system ● Create a physical database system ● Extract, Transform and load data to a data-warehouse. ● Program analytical queries with SQL using MySQL ● Predictive analysis with RapidMiner ● Load relational or unstructured data to Hortonworks HDFS ● Execute Map-Reduce jobs to query data on HDFS for analytical purposes Programming languages: For course 2 you will use the MYSQL language. Software to download: Rapidminer MYSQL Excel Hortonworks Hadoop framework In case you have a Mac / IOS operating system you will need to use a virtual Machine (VirtualBox, Vmware).

Design Databases With PostgreSQL

 Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

Data is only as useful as the database it’s stored in. With PostgreSQL, you can design an elegant relational database management system that’s a breeze to use. That’s why it’s the industry standard used by AWS — making it not only popular with data scientists but backend engineers, too.

Please stay with us:

Website: http://coursenator.com/

Facebook: https://www.facebook.com/Coursenator

Instagram: https://www.instagram.com/coursenator

Telegram: https://t.me/ElearnersFreeCourses

Youtube: https://www.youtube.com/channel/UCpcUP0NzPTZKaEnKXl1mVpg

Linkedin: https://www.linkedin.com/company/coursenator/

Learn Testing for Web Development

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

Testing is essential for web development. A good test suite for a web application allows you to confidently build new features without breaking old ones and provides clear documentation for the rest of your team. A good test suite, however, requires smart design and proficiency with automated tools. These skills are so important to high quality software that many teams in the tech industry employ engineers dedicated to testing. Take-Away Skills: This course will teach you how to test your application at the model and server levels, including tests for dynamic HTML content and other API responses. You’ll test Express applications with the SuperTest library and use Mongoose to manage a database. In addition to learning how to write tests for servers and databases, you’ll also gain some familiarity with the back-end of web applications and MongoDB.


Learn Bootstrap

 Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

You’ll learn about Bootstrap’s grid system to construct complex layouts. Then, you’ll style and populate your site using Bootstrap’s utility classes and components. With Bootstrap, HTML, some familiarity with CSS, and JavaScript, you’ll be making websites in no time.

Learn Color Design

 Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

This course will teach you to use color more effectively on your websites. It’s perfect for marketers who want to learn how the effective use of color can help them create better-converting landing pages, designers who want to learn more CSS, as well as developers who want to improve the design quality of the projects and apps that they build. Take-Away Skills: Practice using CSS while learning design principles, including: primary and secondary colors brand colors colors that suggest UI interactions color psychology visual accessibility and more!

How to Make a Website with NameCheap

 Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

Everything you see on a website is a result of the combination of HTML and CSS. With these two languages, you will have the skills you need to bring your website design to life. Jumpstart that vision by using Bootstrap, a popular library that allows you to create beautiful, responsive pages with very little time and experience. Take-Away Skills: You’ll build four simple websites using web development fundamentals, including HTML5, CSS3, and Bootstrap. You’ll learn to understand and modify the structure of a basic website, as well as how to change the way a page looks and is laid out.

Front-End Engineer

 Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

Front-end engineers work closely with designers to make websites beautiful, functional, and fast. This Career Path will teach you not only the necessary languages and technologies but how to think like a front-end engineer, too. By the end, you’ll have the portfolio and interview skills you need to start your new career.


Create a Professional Website with Velo by Wix

 Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

With Wix you can create a site that fits your needs in no time. Wix offers a huge range of expertly designed templates that you can drag and drop onto your webpage with an intuitive editor. Even better, Wix’s Velo development platform empowers ambitious users to create completely original features with basic JavaScript. Wix takes care of the legwork, like styling and setting up a development environment, so you can focus on what matters: turning the designs and user experience you envision into reality. So if you want to create a website with ease by dragging and dropping, challenge yourself to create a full-stack application with JavaScript, or do anything in between, Create a Professional Website with Velo by Wix is for you.

Please stay with us:

Website: http://coursenator.com/

Facebook: https://www.facebook.com/Coursenator

Instagram: https://www.instagram.com/coursenator

Telegram: https://t.me/ElearnersFreeCourses

Youtube: https://www.youtube.com/channel/UCpcUP0NzPTZKaEnKXl1mVpg

Linkedin: https://www.linkedin.com/company/coursenator/

Building Interactive JavaScript Websites

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

This course will guide you through combining HTML, CSS, and JavaScript to make exciting interactive sites! The concepts covered in this course lay the foundation for adding interactivity to websites and can help you bridge the gap between learning JavaScript principles and actually applying JavaScript to real web development projects. Take-Away Skills: Learn about the DOM architecture and manipulation, browser events and handlers, as well as a new web templating framework Handlebars.js.

Build Web Apps with ASP.NET

 Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

ASP.NET does it all: front-ends, back-ends, Windows, Mac, Linux, and everything in-between. This is a tried-and-true framework, maintained by Microsoft and used by companies like Stack Overflow, UPS, and Walmart.


Build Python Web Apps with Flask

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

Flask is a Python web framework that makes it easy to create a fully-featured web application. Learn the basics of this popular framework so that you can create your own web application with a Python back-end.


Git and GitHub

Coursenator is a search engine for online courses. We aggregate the best-reviewed online courses from various E-learning providers and provide recommendations to learners according to their needs.

In this course, you will learn the basics of version control for data science with Git. Git is a free and open source distributed version control system designed to handle projects of different sizes, speeds, and efficiency. Git has a tiny footprint with lightning-fast performance. Not only that but also, it’s great for anyone who wants to be working on code, making extra changes, and still be able to go back to an earlier version.


Best and free courses from University of Michigan 2022

The University of Michigan is an independent research university situated in Ann Arbor, Michigan. It was founded in the year 1817 in Detroit, as the University of Muchigania, or the Catholepistemiad. Before 20 years the province became a state and the University of Michigan became the oldest educational institution in Michigan. In 1837, the institute moved to Ann Arbor which is 40 acres and known as the Central Campus. After establishing the University in Ann Arbor, It has expanded to a great extent, which includes more than 584 central buildings with an aggregate of 780 acres of property, spread all over the North Campus and Central Campus. The University of Michigan is an organizing partner of the Association of American Universities. 


The University of Michigan has ranked among the best general institutes in the United States. The University is ranked 1 in Doctoral University as it conducts a large number of research Universities. It offers professional degrees in business, architecture, law, medicine, pharmacy, public policy, social work, nursing, and public health as well as Doctoral degrees in social sciences, humanities, science, engineering, technology, and mathematics. In the year 2020, Michigan University's endowment is nearly at $ 12.48 billion which makes it among the largest Universities of Michigan. In 2019, The university has been honored with several awards and certificates, some of them are 26 Nobel prize winners, 53 MacArthur genius award winners which include 24 faculty members and 29 postgraduate winners, 1 Fields medalist, 6 Turing Award and one Mitchell Scholar. Its postgraduate winners include eight government or heads of state which includes the President of the US, 26 living billionaires, and 42 cabinet officials. It also provides many postgraduate courses for Fulbright scholars. 


Ranking and Reputation 


The University of Michigan is ranked both Nationally and Globally 

● The University of Michigan is ranked 17 in the ARWU (Academic Ranking of World Universities), which is also recognized as the Shanghai Ranking. It is one of the annual publications of world university rankings. 


● It is ranked 20 by Forbes which is an American business journal owned by the Forbes Family and Integrated Whale Media Investments. It is printed eight times a year and emphasizes unique and modern writings on the industry, finance, investing, and trading issues. 


● The Wall Street Journal which is also known as The Journal, Ranked the University of Michigan in 23rd position. It is an American business-based International daily newspaper established in New York City, with global publications also accessible in Japanese and Chinese. 


● U.S. News & World Report is an American company that publishes opinions, news, consumer advice, analysis, and rankings. It has ranked Michigan University in 24th position. 


● The University of Michigan is ranked 29 by Washington Monthly which is a bimonthly non-profit journal of United States government and politics that is established in Washington, D.C. 


The University of Michigan is an immense, four-year, residential research university accredited by the Higher Learning Commission. The full-time, four-year undergraduate protocol includes the majority of registrations and emphasizes teaching in the science, arts, and pursuits at a high level of intersection between graduate and undergraduate proposals. The university has "relatively high" research training and a comprehensive graduate program that formulates doctoral degrees in the social sciences, humanities, and STEM careers as well as equipped degrees in law, medicine, and dentistry. The University of Michigan has been integrated on Richard Moll's list of Public Instruction With over 100 doctoral and 200 undergraduate majors, and 90 master's proposals, It has conferred 4,951 graduate degrees, 6,490 undergraduate degrees, and 709 first-professional degrees in 2011–2012.


In 2021 United States News and World Report Best Colleges report ranked Michigan 3rd among civic institutes in the United States. It was ranked 6th in 2021 by the United States News and World Report for Best Undergraduate Engineering Programs Rankings. The University of Michigan was ranked 3rd in 2021 by the United States News & World Report Best Undergraduate Business Programs Rankings. In the 2020 Princeton Review College Hopes and Worries Survey ranked the University of Michigan as the No. 9 "Dream College" among learners and the No. 7 "Dream College" among parents. 


Best Undergraduate Courses: 


● Anthropology: What do you mean by Human? How do we communicate? What are the functions of the human body? Anthropology is the scientific study of humanity that is concerned with human biology, human behavior, societies, and cultures. 


● Accountancy: Accountancy is the method of documenting, categorizing, and recording business agreements for a company. It Submits feedback to associations regarding the economic outcomes and status of an institution.

 

● Aerospace Engineering: Aerospace engineering is the central field of engineering related to the advancement of spacecraft and aircraft. It has two main and overlapping branches i.e aeronautical engineering and aeronautical engineering. 


● Biology: Biology is a department of science that deals with living organisms and their integral processes. Biology comprises various fields, including ecology, botany, genetics, conservation, evolution, medicine, marine biology, molecular biology, microbiology, physiology, and zoology. 


● Biomedical Sciences: Biomedical sciences are a bunch of sciences relating fractions of biological science or traditional science, or both, to improve understanding, technology or interventions, that are of practice in public health or healthcare. 


● Business Law: Business law or commercial law is a law that operates commerce and business and is constantly considered to be a department of civic law and negotiates both with principles of public law and private law. It regulates hiring practices, corporate contracts, and the trade and sales of customer welfare. 


● Chemical Engineering: Chemical engineering is a particular kind of engineering that focuses on the research of strategy, procedure, and design of chemical manufacturers as well as techniques of improving output. Chemical engineers formulate inexpensive marketable procedures to renovate raw substances into useful commodities. 


● Chemistry: Chemistry is the scientific research of the behavior and properties of matter. It is a biological science that encompasses the elements that compose matter to the mixtures composed of atoms, molecules, electrons, protons, and neutrons, and also their structure, composition, behavior, properties, and the differences they withstand during a reaction with additional entities. 


● Civil Engineering: Civil engineering is a proficient engineering profession that focuses on the construction, design, and supervision of the naturally and physically built environment, including civil works such as bridges, roads, canals, sewage systems, airports, pipelines, structural components of buildings, and railways.

 

● Computer Science: Computer science is the research of algorithmic techniques, computational appliances, and computation itself. Computer science stretches a spectrum of topics from theoretical research of computation, algorithms, and information to the logical issues of executing computational networks in software and hardware.

 

● Digital Media and Journalism: Digital journalism which is also known as online journalism, is a modern form of journalism where editorial text is published via the Internet, as opposed to publishing via broadcast or print. 


● Economics: Economics is a social science related to the output, consumption, and distribution, of goods and services. It studies how businesses, individuals, governments, and countries make intentions about how to distribute resources.


● Electrical Engineering: Electrical engineering is an engineering branch interested in the study of the design and application of appliances, equipment, and networks that use electronics, electricity, and electromagnetism.

 

● Fashion Merchandising: Fashion merchandising is interpreted as the planning and publicity of sales by illustrating a commodity to the true demand at a decent time, by carrying out systematic, creative promotion, using impressive displays, etc. 


● Climate and Meteorology: Climate and Meteorology is a department of the atmospheric sciences that encompass atmospheric physics and atmospheric chemistry, with a primary emphasis on weather forecasting. The study of climate and meteorology dates back millennia, though substantial improvement in meteorology did not start up until the 18th century. 


● Global environment and health: 

Global environmental health comprises the natural world which includes water, air, vegetation, animals, and humankind. A sustainable world is one in which existing requirements are fulfilled without negotiating the potential of future generations to meet their requirements. 


Best graduate courses : 

● Applied Economics: Applied economics is the application of economic hypotheses and econometrics in particular situations. It is generally defined by the application of the body, i.e. economic beliefs and econometrics to deal with logical problems in a range of fields including business economics, demographic economics, labor economics, industrial organization, development economics, agricultural economics, education economics, financial economics, engineering economics, health economics, monetary economics, economic history, and public economics. From the viewpoint of economic advancement, the objective of applied economics is to strengthen the quality of business methods and nationwide strategy making. 


● Geography: Geography is the study that deals with areas, habitats, and the connections between civilization and their environments. Geographers examine both the biological properties of the surface of Earth and the human cultures that circulate across it. It aspires to understand where aspects are organized, how they are developed, and why they are there, and change over time.


● Data science: Data science is a study that deals with fields that use algorithms, scientific methods, processes, and policies to extract understanding and insights from noisy, unstructured, and structured data, and apply understanding and actionable understandings from data across a wide range of applications areas 

● History: History is the study of the past and also helps us to explore our future. Circumstances before the innovation of writing strategies are evaluated prehistory. "History" is an umbrella phrase encompassing past events as well as the recalling, discovery, presentation, collection, organization, and understanding of these events. 

● Earth Science: Earth sciences are the arenas of research interested in its water, solid Earth, and the air that encircles it. They comprise the hydrologic, geologic, and atmospheric sciences with the wide purpose of comprehending Earth's current characteristics and past development and using this awareness to benefit civilization. 

● Hydrogeology: Hydrogeology is the research of groundwater. It is occasionally referred to as geohydrology or groundwater hydrology. It deals with how water gets into the soil (recharge), how it streams in the sub-ground (through aquifers), and how groundwater interacts with the surrounding rock and soil. 


● English: English is originally a West Germanic language spoken by the citizens of early medieval England. It is assigned after the Angles which is one of the chronological Germanic civilizations that departed to the region of Great Britain that later took their name, England. Both names originate from Anglia which is a peninsula on the Baltic Sea. English is largely related to Frisian and Low Saxon and Frisian, while its terminology has been considerably impacted by other Germanic languages, especially Old Norse (a North Germanic language), as well as French and Latin. 


● Law: The law is a regulation established and enforced through social or governmental organizations to regulate attitude, with its detailed definition a matter of long-standing debate. It has been variously interpreted as a science and the creation of justice. 


● Mathematics: Mathematics contains the study of such topics as structure(algebra)

quantity (number theory), space (geometry), and alter(analysis). It has no commonly accepted description. 


● Mechanical Engineering: Mechanical engineering is an engineering department that incorporates engineering mathematics and physics laws with materials science to analyze, design, manufacture, and retain mechanical procedures. It is the department of engineering that implicates the production, design, and system of machinery. 


● Macromolecular Science and Engineering: Macromolecular science is the study of the synthesis, structure, processing, properties, and benefits of polymers. These gigantic molecules are the purpose of artificial materials comprising plastics, films, fibers, rubber, paints, adhesives, and membranes. 


● The climate of Space Sciences and engineering: Climate of Space Sciences and Engineering is a department that focuses on our atmospheric changes in space. It generates innovative and unique techniques to understand the circumstances of space. 


● Cognitive Science: Cognitive science is the scientific, interdisciplinary study of the intellect and its techniques. It evaluates the tasks, the nature, and the purposes of cognition. Cognitive scientists analyze intelligence and response, with an emphasis on how nervous systems represent, transform, and process information. 


● Industrial and Operations Engineering: Industrial engineering is an engineering profession that is concerned with the optimization of complex processes, systems, or organizations by developing, improving, and implementing integrated systems of people, money, knowledge, information, and equipment. Industrial engineering is central to manufacturing operations. 


● LGBTQ Studies: The initial four letters of this familiar abbreviation are relatively known as: “Lesbian, Gay, Bisexual and Transgender” and the Q can stand for “questioning or asking” as they are still analyzing one's sexuality and commonly known as “queer,” or sometimes both. Sexual diversity studies, Queer studies, or LGBT studies is the research of problems relating to sexual exposure and gender identity usually concentrating on gay, lesbian, bisexual, gender dysphoria, transgender, asexual, questioning, queer, intersex culture, and societies. 


● Industrial ecology: Industrial ecology is the research of substances and energy flows through industrial operations. The international industrial frugality can be sculptured as a system of industrial methods that extract reserves from the Earth and renovate those resources into products that can be purchased and bought to meet the requirements of society. 


● Sustainability: Sustainability extensively directs on fulfilling the desires of the present without negotiating the potential of future generations to satisfy their appetites. The idea of sustainability is comprised of three pillars i.e environmental, economic, and social, and also known informally as a planet, profits, and people. 


INITIATIVES 


The University of Michigan spearheads a diversity of outstanding initiatives and outreach recreations dealing with key focus regions that authorize us to facilitate academic quality, lead significant change and address complex international issues. 


GIVING 


The University of Michigan is dedicated to using our educational vitality and resources to give rise to the world an adequate place. It is our deeply organized tradition of generosity that makes this possible. The significant support of our Michigan donors is renovating lives every day. 


Everything about Udacity's AI for Trading Nanodegree program

 Introduction

AI is the new obsession everyone has these days. All the complex enumerations and technologies are combined with the aspect of AI. `One of the most exciting parts that capture people is its complexity towards almost each and everything. Speaking about the financial sectors, AI helps them to develop an in-depth analysis and detailed research. Hence, Udacity's AI for Trading Nanodegree program proves to be considered by many students. 


Everything about AI Trading Nanodegree program

Udacity’s AI for trading Nano degree course is self-paced — despite the school, providing suggested course durations, classroom start dates, and the project due dates as a standard guideline for all students.

For this programming course, Udacity suggests it will take students four months studying for 10 hours per week to complete it. Start date is recommended but not mandatory for their Nanodegree programs — they have recommended start dates to guide students who start at the same time into various community channels. 

Although Udacity Nanodegree courses are self-learning, as Udacity works on a subscription-based model, if you need to take a longer time to complete the class you sign up for, you may end up paying more in subscription fees than you initially thought.


Here's a quick brief of the primary features for Udacity's AI for Trading Nano Degree program: 

In terms of Cost and Affordability, if you have ten hours per week for four months to learn CSS, HTML, Python, and JavaScript, $599 is affordable relative to other online coding schools. If price is your preference and you are only interested in learning these four languages, Udacity's Nanodegree program could be the one for you.

Now, if we're looking at Pacing, if you can learn CSS, HTML, Python, and JavaScript in four months for $599, a Udacity Nanodegree could be the correct choice. If you cannot graduate from Udacity within four months, it will cost you $399 per month until you graduate, making it probably more expensive than ever.

Considering Lifetime Access to materials, the material is not provided to you for more than a year after you enroll.

Although Udacity is Beginner-Friendly, and there are some prerequisites before you enroll in the program as 

If you want a course with Project-Based practices, Udacity offers almost a similar project per program in their AI for Trading Nano Degree. 

Additionally, Udacity provides Student Support and a Student Community.

Also, note that Udacity offers a two-day refund period with conditions if you're prone to buyer's remorse. 



What is Udacity?

For the people who don't know what Udacity is, it is an online academy that happens to have some great connections. Apart from that, they mainly offer online technical courses which are free of cost. Whenever someone completes their respective practice, Udacity would provide them with a certificate of completion. Considering the present time, not just technical topics, but Udacity offers courses in other segments. Additionally, Udacity courses are proven to be pretty beneficial as well for many students. One of the popular courses offered by Udacity is the Nanodegree program.

When you sign up for Udacity's Nanodegree program, there are some perks and benefits that you come across. These extras help you grow personally and are suitable according to the students' requirements. 



Part 1: Primary Quantitative Trading

Working with all the financial data and stock prices can be challenging, and you can fall into many traps. As compared to many other machine learning applications, you are trying to predict the future.

In theory, this Nanodegree is heavy because you're set up for failure if you don't know about the common pitfalls. And dwindling with your stock picking algorithms can get exorbitant.


Realizing market essentials

The place where you begin is at the starting point. Hence, you'll start by learning all about the stocks in general and market tactics.

It might be possible that many of you probably know everything about this already, but for the people learning it for the first time, it was undoubtedly considerate. 


Proposing new alpha signals

In the next step, you are introduced to alpha signals, the building blocks of trading blueprints. But what are alpha signals? Alpha signals provide you with the costs of future stocks. 

Most importantly, you will assimilate how to evaluate strategies such as stock returns and, later, execute one of the most available alpha signals.

In the initial artificial intelligence project for trading Nanodegree, your task is to create a trading strategy using momentum.

People who want to start building machine learning algorithms for trading stocks might become frustrated by the initial segments of the Nanodegree program.


Part 2: Complex Quantitative Trading

As soon as you complete the first part of the artificial intelligence for trading Nanodegree, you'll step into the shoes of a quant. Besides, people work with a trading approach without machine learning as well. Also, it is crucial to understand what they already do.


Quant workflow and best practices

There is too much at the end of the rope, so you need to be pretty cautious. The main goal is strong returns rather than hitting that one home run. 

The lessons about outliers are also helpful because this is undoubtedly something that a lot of beginners overlook. Of course, when you begin working with machine learning algorithms, you can make them resistant to outliers in other ways.


Traditional analysis

Machine learning is excellent, but there are many purely statistical model tools you should master as well. The most general one is regression, but you also learn about data pre-processing since it is diplomatic.

In this section, you'll learn about some more advanced methods, and they even introduce neural networks at this point.

Volatility is another important topic when analyzing stocks. Here, high volatility means high risk but also high reward. These things are elementary for people who regularly work with financial data, so ensure you acquire the content well. 

The primary aim of the second project is to create a breakout strategy. You'll base the design on what you learned in the previous lessons, and ultimately your goal is expediency.


Part 3: Stocks, Indices, and ETFs

You will see some other things that you can trade rather than just stocks. In this section, you learn about various other alternatives. Hence, these sessions also help you to understand how different associates handle their portfolios.

When you design portfolios, you want to score them and optimize them according to some metrics.

The project is to start enhancing your portfolio based on the new techniques you now know. Optimization is surprisingly similar to machine learning. The most significant difference is that you don't work with validation in the same way.

It's always fun to read about something you know significantly less about as it feels like something new.


Part 4: Factor Investing and Alpha Research

This section of the Nanodegree Trading shows some different aspects than other sections of the program. 

Factors & Risk factors

The initial two lessons of these segments are now combined into one study known as factor models for returns. So, factor investing is another type of investment tactic where you're trying to find stocks with a low price compared to their essential value.

Next, you will learn how to model risk using factors. These lessons are also combined with a new course which is known as risk factor models.


Alpha factors


Alpha conveys your trading strategy's capability to defeat the stock market. It is the variance between the stock returns and the factors contributing to the returns.

Part 4 transferred its name to "Advanced Portfolio Optimization with Risk and Alpha Factors Models." 

This section was the part of the AI for trading Nanodegree, and you realize how real investors work with managing risk, and it's definitely worth the interest. 


Part 5: Sentiment Analysis with Natural


Language Processing

Part 5 is the place where you'll start looking at machine learning algorithms. This Nanodegree is primarily used to distinguish alpha factors that you can use to develop your projects.


Natural language processing

Natural language processing is an essential field of computer science where we want computers to understand language. Because of diverse innovations within deep learning, machine learning has wholly taken over NLP in recent years.

However, these lessons are about preparing for natural language processing using regex and other techniques to modify features from the respective text.


Extracting data from financial statements

This segment tells you more in detail about the feature extraction from data. Here, you will learn some valuable tools such as BeautifulSoup to get information from the internet and parse the HTML response for helpful information.

In the project, you will implement some fundamental inspections of the financial statements. Now, some people might call this AI, but I wouldn't. It's primarily developing comparability metrics that you can use as input later.

For the students, the following segment concentrates on natural language processing through deep learning.


Part 6: Advanced Natural Language


Rectifying with Deep Learning


Deep learning is something where most people work consistently. Now, part 6 begins with some background functionality with olfactory networks. If you've attended some other Udacity Nanodegrees before, you probably already know what this is. 

Next, you will learn about perennial neural networks and word embeddings. Many people don't use RNN for text analysis anymore, but it works well for many more specific duties. 

In this project, you have to develop an algorithm for sentiment analysis. It's a typical use-case where you want to know the underlying sentiment for a text. 

Unfortunately, this is the only part of the Nanodegree that includes deep learning.


Part 7: Combining Multiple Signals

In this section, you learn more about some old-school machine learning algorithms, like decision trees, to combine the factors you studied before. Further, you also look at designing features for your algorithms and later explore the specs it detects.

In the project, you also apply a random forest algorithm for improving your knowledge in alpha trading.

It's good that they created a segment with machine learning where it's linked to trading. Otherwise, it would have been course quant analysis or something similar like that. Many people still think it's a bit weird to call this course AI for trading. The machine learning techniques are significantly related to statistical models and are nothing like most people when they hear AI. 


Part 8: Replicating Trades with Historical Data

In this last section, all segments (apart from the NLP) come together in this previous section. Once you start replicating your trading strategies, everything becomes a lot more fun. Many beginners make mistakes in their simulation by adding information that wasn't available at the time, so pay close attention.

When you have good backtesting in place, you can quickly test and compare different trading strategies. It's a critical exercise that you need to master if you're serious about building AI algorithms for trading.


Conclusion

There are an equal amount of pros and cons in Udacity's AI for Trading Nanodegree program. This course is a heavy one and might require lots of practice if you are thinking about pursuing it. Further, it is a fantastic program for people who want to learn deeper about various aspects of AI.


SQL

SQL , also pronounced as See-Quel, stands for Structured Query Language, letting you access, manipulate, create, delete, update, and retriev...