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Best Coursera Courses 2020 (Cyber Monday Free Course!)

Deep Learning Specialization

The Deep Learning Specialization offered by deeplearning.ai founded by Andrew Ng, is a place to go for the latest knowledge on deep learning and its applications. Whether you want to get started with convolutional neural networks, tune your hyperparameters, or just play around with LSTMs, this course has it all. This is definitely the best online course I have seen so far in data science / machine learning at this level.

If you want to break into AI, this specialization will help you do that. Deep Learning is one of the most sought-after skills in technology. We’ll help you get good at Deep Learning. If you want to launch a career in AI, this specialization will help you get there. Through this range of 5 courses, you will explore the fundamental subjects of Deep Learning, understand how to create neural networks and lead successful ML projects. Along with this, there are opportunities to work on case studies from various industries in the real world. The practical work will allow you to practice the concepts in Python and Tensorflow. Additionally, there are discussions from top leaders in the field that will motivate you and help you understand the scenarios in this line of work. You will need some basic development knowledge to access this specialization.

In five courses, you will learn the basics of Deep Learning, understand how to create neural networks, and learn how to lead successful machine learning projects. You will learn about convolutional networks, RNNs, LSTMs, Adam, Dropout, BatchNorm, Xavier / He initialization, etc. You will work on case studies in the areas of health, autonomous driving, sign language reading, music generation, and natural language processing. You will not only master the theory, but also see how it is applied in industry. You will practice all of these ideas in Python and TensorFlow. This is the Best Coursera Course for Deep Learning in 2020.

IBM Data Science Professional Certificate

IBM Data Science is a professional certificate consisting of 9 courses. Slowly begins by explaining what data science is, what methodology and what tools we use, to get into data processing and visualization, to finally get to machine learning. Professional Certificate is for anyone interested in developing skills and experience to pursue a career. This program consists of 9 courses providing you with the latest out-of-the-box skills and techniques covering a wide range of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL , data visualization, data analysis and machine learning. You will practice on IBM Cloud using real data sets. Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate the results to inform data-driven decisions has never been greater. big. This professional certificate from IBM will help anyone interested in pursuing a career in machine learning to develop skills and experience relevant to their career.

It’s a myth that to become a data scientist you need a doctorate. Anyone with a passion for learning can take this professional certificate – no prior knowledge of IT or programming languages ​​is required – and develop the skills, tools and portfolio to gain a competitive advantage in the job market as an entry-level data scientist. Upon successful completion of these courses, you will have built a portfolio of data science projects to give you the confidence to immerse yourself in an exciting data science profession. In addition to earning a professional certificate from Coursera, you will also receive a digital badge from IBM recognizing your mastery in data science. This is the Best Coursera Course for Data Science in 2020.

Python for Everybody

Learn the basics of computer programming with Python in this University of Michigan course taught by Professor Charles Severance. This course covers everything from how to install Python, write your first program, and understand the nuances of the language.

This specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts, including data structures, networked application program interfaces, and databases, using the language of Python programming. In the Capstone Project, you will use the technologies learned throughout the specialization to design and build your own data retrieval, processing and visualization applications.

The coding community goes gaga over Python! These Python Mastery Lessons in 5 Online Courses from the University of Michigan were another favorite of professionals throughout 2018 and we see the trend continuing into 2019. Learn concepts like data structures, interfaces to networked application programs and databases using Python. Charles Severance, Associate Professor at the University of Michigan, will help you retrieve, process, and visualize data with Python through 5 courses spread over a few months, including a project to implement what you have learned. Check out some of the best courses for learning Python to find other top courses in the field. This is the Best Coursera Course for Python in 2020.

The Science of Well-Being

This course is offered in partnership with Yale University and is designed to provide a series of challenges designed to increase your happiness and enable you to build more productive habits. In this course, you’ll embark on a series of challenges designed to increase your own happiness and develop more productive habits. In preparation for these assignments, Professor Laurie Santos reveals misconceptions about happiness, boring mind traits that cause us to think like we do, and research that can help us change. You will eventually be ready to succeed. One of the first tasks is to measure your own baseline level of happiness, which you can then use as a benchmark at the end of the course, after practicing the Happiness Habits. that teaches.

This program is created for the purpose of helping to understand the philosophical science perspective on happiness. Throughout the lessons, you will not only learn the ideas and strategies, but you will also put them into practice. Introductory lessons talk about misconceptions about happiness before moving on to activities to increase happiness and build better habits. End the journey with tips and a final task for applying a wellness activity in your life. Fully integrate a specific wellness activity into your life.

Data Science Specialization

This Johns Hopkins specialization helps you understand the entire pipeline and, towards the end, culminates in a project where you will learn how to create a data product using real world data. The course also includes SwiftKey and yelp as industry partners. In the final Capstone project, you will apply the skills learned by creating a data product using real data. Upon completion, students will have a portfolio demonstrating their mastery of the subject.

This course covers the concepts and tools you will need throughout the data science pipeline, from asking the right types of questions to inferences and publishing results. In the final Capstone project, you will apply the skills learned by creating a data product using real data. Upon completion, students will have a portfolio demonstrating their mastery of the subject.

This is a 9-course introduction to data science, developed and taught by renowned professors. The best part is that you can even do this if you are a beginner in this field and Data Science is a highly sought after course these days. Johns Hopkins University Data Science Course Program Instructor – Roger D. Peng, PhD: Associate Professor, Biostatistics; Brian Caffo, PhD: professor, biostatistics and Jeff Leek, PhD: associate professor, biostatistics

Global Financial Markets and Instruments

Global Financial Markets and Instruments is presented by Rice University and explores the integral role of financial markets and financial assets in the economy. There are lessons on financial instruments in major asset classes, the functionality of financial markets, critical gaps between market types and more. Additionally, you will gain basic knowledge of dark pools, short selling, margin buying and the basics of algorithmic trading. Instructor Arzu Ozoguz is a member of the finance faculty at the Jones Graduate School of Business. Get off to a good start in the high stakes world of financial investing! This first Coursera course is designed to help you become a smart investor by providing you with the essential concepts for long-term success in money management.

You will start by learning the role of financial markets and financial assets in a well-functioning economy. From there, you will learn about the wide range of financial instruments available across major asset classes, their characteristics and valuations. You will learn how financial markets actually work in the real world, focusing on how and where securities are traded and how different types of markets differ from each other in practice. You will also learn the basics of algorithmic trading, dark pools, margin buying and short selling.

At the end of the course, learners will be able to:
• List and distinguish the different financial instruments available to an investor
• Compare global financial markets
• Explain the characteristics of equity, debt and derivative instruments
• Define traditional and alternative asset classes
• Discuss the different trading venues and securities trading mechanisms
• Discuss current trends affecting today’s financial markets

Learning How to Learn: Powerful mental tools to help you master tough subjects

Whatever field you want to work in, it’s true that learning is an inevitable part of it. This course from the University of California, San Diego and McMaster University will teach you invaluable learning techniques used by experts in a variety of fields. Understand how the brain uses two different modes and encapsulated information. Along with this, you will also review illusions of learning, memory techniques, ways to deal with procrastination, and more. This certification can be taken by anyone regardless of their level of experience. One of the Best Coursera Courses in 2020.

By using these approaches, no matter how proficient you are in the subjects you want to master, you can change the way you think and change your life. If you’re already an expert, this mental peep under the hood will give you ideas for: stimulating successful learning, including counter-intuitive test tips and ideas that will help you make the most of your time on homework. and the problems. If you’re having trouble, you’ll see a structured treasure trove of hands-on techniques that will walk you through what you need to do to get started on the right path. If you’ve always wanted to get better at something, this course will serve as your guide.

Foundations of Everyday Leadership

This course, offered in partnership with the University of Illinois, is part of a Certificate Program in Strategic Leadership and Management. The course teaches you to make individual and group decisions and to manage the motivation of you and your employees on a daily basis. By the end of the course, you will have learned to understand why leadership skills are essential to the success of your organization, how to use these leadership skills to work effectively with others, and how you can apply these skills to daily leadership. One of the Best Coursera Tutorials in 2020.

The course spans four weeks and is expected to last 15-20 hours. The course instructors are Professors Gregory Northcraft and Jeffrey Loewenstein, Associate Professor Denise Lewin Lloyd, and Clinical Assistant Professor Elizabeth Luckman, all from the University of Illinois. In this course, you will discover the “head and heart” of daily leadership, individual decision-making, group decision-making, and motivation management. The goals are to understand why and how leadership skills are so essential to organizational success and to learn the basics of effective leadership skills.

Learners:
• Understand why and how leadership skills are so essential to organizational success
• Know how to use leadership skills to work more effectively with others and be able to organize teams to work more effectively together
• Will be able to apply the foundations of effective leadership skills to the day-to-day situations leaders face.

Google IT Support Professional Certificate

In this 5-course certificate program, you will prepare for an entry-level job in IT support through an innovative program developed by Google. 80% of Google IT Support Professional certificate learners in the US report an impact on their career within 6 months, such as finding a new job, getting a raise, or starting a new business. The program is part of Grow with Google, a Google initiative to create economic opportunities for everyone. Upon completion of the certificate, learners eligible to work in the United States can directly share their information with Google, as well as with employers such as Hulu, Infosys, Intel, Walmart, etc.

This program also prepares you for the CompTIA A + exams, the industry standard certification for computing. You will earn a double degree when you complete both. Through a mix of video lectures, quizzes, and hands-on labs, you’ll be introduced to troubleshooting, customer service, networking, operating systems, system administration, and security – computer skills basic requirements for an entry-level position. You’ll hear from googlers whose foundations in IT support have served as launching pads for their own careers. By dedicating ~ 5 hours per week, you can finish in 3-6 months. This program is ACE® certified – when completed, you can earn up to 12 college credits, the equivalent of 4 associate level courses.

AI For Everyone

Artificial intelligence is considered one of the most complex topics in technology, but its use in our daily lives cannot be overstated. So, if you want your organization to improve its use of this technology, then this program is worth a look. In the courses, you will learn the meanings of basic and crucial terminologies, what AI can and cannot do, spot opportunities to apply AI solutions to your organization’s problems, and more. By the end of the courses, you will master the business aspects of AI and apply them correctly in relevant situations. The course is created by Andrew Ng, pioneer in the field of artificial intelligence and founder of Coursera. You can also check out our AI certification compilation.

AI isn’t just for engineers. If you want your organization to improve their use of AI, this is the course to tell everyone – especially your non-technical colleagues – to take. In this course, you will learn:

– The meaning of common AI terminology, including neural networks, machine learning, deep learning and data science
– What AI can and cannot realistically do
– How to spot opportunities to apply AI to issues in your own organization
– What it feels like to create machine learning and data science projects
– How to work with an AI team and build an AI strategy in your business
– How to navigate ethical and societal discussions around AI

Although this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

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