1660 Courses and Certifications

Coursera Courses & Certifications 2024

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Certificate

Digital Marketing Analytics in Practice

The conversion of consumer behavior into useful company information is what digital marketing analytics accomplish. Businesses may learn more about what consumers are doing online, why they are doing it, and how to use this information to create more effective digital marketing campaigns with the aid of digital analytics tools. Digital Marketing Analytics in Practice online certification is designed by the University of Illinois at Urbana-Champaign and taught by Kevin Hartman - Visiting Professor & Head of Analytics at Google, which is delivered by Coursera.

Digital Marketing Analytics in Practice online training provides 20 hours of extensive lectures designed to educate participants with the foundation needed to apply data analytics to real-world difficulties that digital marketers face regularly. Digital Marketing Analytics in Practice online classes discuss topics like digital marketing, web analytics, web scraping, dashboarding, and storytelling, as well as provide an understanding of the practical approach to planning, collecting, analyzing, and reporting data.

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4 Weeks
Beginner
6,599
Skills Covered:
Digital marketing skills Knowledge of Web Analytics Knowledge of Data Visualization Storytelling
Certificate

Storytelling in Branding and Content Marketing

The Brand & Content Marketing online programme is developed by the IE Business School which is provided to the learners through the education provider website Coursera. The course is designed to be completed within fifteen hours and is scheduled for five weeks. Pedro Cifuentes Huertas is a professor of Branded Content and journalism in the IE School of Human Sciences and Technology. This Beginner Level course is one among the Branding: The Creative Journey Specialization. 

It describes the branding concepts and helps in understanding its distinction from traditional advertising concepts while explaining the process of building meaningful content. The Brand & Content Marketing programme assesses the construction of effective journalism along with ideas and techniques to make the content more relatable that establishes a connection among the viewers. The online programme provides a chance for the learners to know about the marketing strategies and concepts of Brand Entertainment through innovative and informative lectures, videos, and exercises.

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4 Weeks
Beginner
3,257
Skills Covered:
Brand awareness Marketing skills Brand Management Advertising skills Digital marketing skills Content Management skills Communication skills Storytelling
Establishing a Professional Self through Effective Intercultural Communication

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Certificate

Establishing a Professional ‘Self’ through Effective Intercultural Communication

The study and practice of communication among cultural contexts are known as intercultural communication. This stands true for both local cultural differences like those based on race and gender and global cultural differences like those based on country of origin or geographic region. Misty So-Sum Wai-Cook, Professor at the Centre for English Language Communication, established the Establishing a Professional ‘Self’ through Effective Intercultural Communication certification course, which is offered through Coursera.

Establishing a Professional ‘Self’ through Effective Intercultural Communication online course is designed for learners who want to become proficient in effective communication skills so they may build relationships with coworkers in a community and workplace that is culturally and linguistically diverse. Establishing a Professional ‘Self’ through Effective Intercultural Communication online classes involved 10 hours of digital lectures that cover effective communication skills needed to develop relationships with coworkers as well as assist learners in creating their profiles and aligning themselves appropriately in a globalized workplace.

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4 Weeks
4,091
Skills Covered:
Communication skills
Engaging in Persuasive and Credible Communication

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Certificate

Engaging in Persuasive and Credible Communication

Every professional workplace needs to be able to communicate persuasively. All forms of communication, from asking a coworker to lend a hand through email to create a presentation for the board of directors, demand strong expertise in persuasion. Effective persuasive communication is required at every step of the hiring process, including persuading the interviewers during the interview and on the resume. Derrick Ng teaches the Engaging in Persuasive and Credible Communication online certification course, which was developed by the National University of Singapore and made available by Coursera.

Engaging in Persuasive and Credible Communication online course is intended for candidates who wish to learn the fundamentals of persuasion in the context of effective professional communication in a globalized society. Engaging in Persuasive and Credible Communication online classes involved 9 hours of thorough lectures that covered a variety of topics, including credibility, persuasion, manipulation, the AIDA framework, globalization, persuasive communication, credible communication, and persuasive writing.

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4 Weeks
Beginner
4,093
Skills Covered:
Communication skills Persuasion
Strengthening your Widening Network

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Certificate

Strengthening Your Widening Network

Professional relationships can be a great resource for unique viewpoints and innovative ideas that will benefit individuals in their job. One of the main advantages of networking is the chance to share challenges, successes, and ambitions, which enables them to learn new perspectives they might not have otherwise considered. The National University of Singapore created the Strengthening Your Widening Network online certification, and Professor Sarah Chong of the Centre for English Language Communication instructs it through Coursera.

The Strengthening Your Widening Network online course is intended for individuals who want to improve their relationships and communication with coworkers and other stakeholders from different cultural backgrounds in a globalized workplace. Strengthening Your Widening Network online classes contains 8 hours of sessions that aim to help individuals master workplace practices and understand the nuances of organizational structure and hierarchy.

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4 Weeks
Intermediate
4,093
Skills Covered:
Networking

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Certificate

Autodesk Fusion 360 Integrated CAD/CAM/CAE

Coursera offers the Autodesk Fusion 360 Integrated CAD/CAM/CAE online course as the second course in the CAD and Digital Manufacturing Specialization. Introducing Fusion 360 as a problem-solving tool, the certification course explores the connection between CAM, CAD, and CAE through a series of exercises on 3D modelling, simulation, rendering, and computer-aided manufacturing. 

Moreover, the Coursera Autodesk Fusion 360 Integrated CAD/CAM/CAE certification course has been designed for those who wish to enter the field of CAD, CAE, or CAM using the Fusion 360 software. Candidates will become familiar with different approaches to sketching and modelling with Fusion 360.

Furthermore, the Coursera Autodesk Fusion 360 Integrated CAD/CAM/CAE programme is a self-paced online learning course that helps students learn with the convenience and comfort of their space. Students will also get a shareable certificate after completing the course by applying for the certificate experience. The certificate also has many other benefits too. 

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4 Weeks
Intermediate
4,085
Skills Covered:
Designing skills
Robotics Estimation and Learning

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Certificate

Robotics: Estimation and Learning

The ‘Robotics: Estimation and Learning’ online course is a study about robots with the techniques and strategies involved in determining the surrounding factors during flight and movement. This online program is part of the Robotics specialization of the mechanical engineering domain that is under the physical science and engineering courses. This Robotics course is provided by the online educational platform Coursera and the curriculum is offered by the University of Pennsylvania. This self-paced learning course training is framed to be completed in fifteen hours. 

The course instructor for this online training is Daniel Lee from the Electrical and Systems Engineering department. The students are ensured with the flexibility in deadlines and subtitles offered in languages such as English, Spanish, and Chinese along with the videos and other exercises that add up to an experiential learning process. The ‘Robotics: Estimation and Learning’ by Coursera enables the candidates of the program to receive a shareable certificate for recognition after completion of the course study.

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4 Weeks
6,596
Skills Covered:
Robotic skills Automation skills Knowledge of engineering Knowledge of physics
Robotics Perception

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Certificate

Robotics: Perception

The ‘Robotics: Perception’ online course is developed for the students to enhance their knowledge of the process involved in object grasping which is accomplished by the computation of the 3D posing of objects and the robot navigation. This Robotics specialization course is a part of the mechanical engineering domain under physical science and engineering, it is provided for the students on the online education platform Coursera and is offered by the University of Pennsylvania. The course is a self-paced learning program where the students will take approximately thirty three hours to complete the course. 

The intermediate level certification engages the students to familiarize themselves with the concepts of visual odometry and landmark-based localization to understand the process of navigation in robots. The course curriculum is offered with subtitles in French, Portuguese, Russian, English, Spanish for the candidates to experience a better learning process. The ‘Robotics: Perception’ training program by Coursera ensures a certificate for the participants who complete the course.

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4 Weeks
Intermediate
6,599
Skills Covered:
Robotic skills Knowledge of physics Mathematical skill Automation skills Knowledge of engineering
Robotics Mobility

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Certificate

Robotics: Mobility

The Robotics: Mobility Certification Course is a 100% online course that explores the specifications of robotic mobility through the study of robotic motors and sensors. The course available on the Coursera platform is the third out of six in the Robotics Specialization programme. 

Through the Robotics: Mobility Training Course, learners will be introduced to the complex process of robotics design, robotics mobility, and kinematics. They will be instructed by Daniel E. Koditschek, Professor of Electrical and Systems Engineering at The University of Pennsylvania.

After completing the Robotics: Mobility Live Course through expert video lectures, informative readings, graded assignments, quizzes, and exams, learners will receive a certificate of completion. The flexible structure of the course will allow learners to reset the deadlines according to their preferences.

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4 Weeks
6,599
Skills Covered:
Robotic skills
Certificate

Modern Robotics, Course 1 Foundations of Robot Motion

In the present age of technology, where the world is moving at a very fast pace, the advances in technology with the help of robotics seem to have never-ending horizons if taken up as a career. The course is for people who are inquisitive about robots and are willing to take-up robotics as a career. It is for someone who is intending to put efforts in order to learn the basics of mathematical modelling techniques that are applied in all subsidiary fields of robotics.

The course Modern Robotics, Course1: Foundations of Robot Motion is a part of specialisation- Modern Robotics: Mechanics, planning, and control that consist of six short courses that prepare the student for taking up advanced study in robotics or pursue robotics as a profession.

In the course 1-Foundation of Robot motion, the participant will learn about the basic material required for the robot configuration in robots with closed chains and in robots with serial mechanisms.

The participant will be building a library having a collection of robotics software in various languages like MATLAB, Python, and Mathematica, etc. They will also be making the use of robotic simulator V-REP on the cross-platform, which will assist them to create DIY (Do it yourself) robots at their home with no cost or investment involved.

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4 Weeks
Intermediate
4,085
Skills Covered:
Robotic skills
Certificate

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure is an online programme developed by the University of Illinois at Urbana-Champaign for the intermediate level students to help them enter the world of cloud computing and its application.  Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure Certification Syllabus, jointly prepared by Roy H. Campbell and Reza Farivar, will help the learners to make a detailed understanding of cloud computing and big data.

By joining the Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure  Certification Course, offered by Coursera, the learners will learn the software-defined architectures, Kubernetes, Docker, JVM, etc. Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure Certification by Coursera, the third course in Cloud Computing Specialization, will also shed light on cloud middleware technologies such as RPC and REST, JSON, and load balancing. 

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4 Weeks
Intermediate
4,093
Skills Covered:
Knowledge of Big Data Knowledge of cloud computing
Certificate

Cloud Computing Foundations

Cloud Computing Foundations certification is a 19 hours approximate course that belongs to the  Building Cloud Computing Solutions at Scale Specialization course. This has been launched by Coursera and the academic portion has been taken care of by Duke University. With this online certification course, participants will be able to construct an infrastructure of cloud computing that shall include a serverless technology of websites that will involve serverless technology. 

Cloud Computing Foundations training is basically for both beginners and other students who want to learn how they can apply cloud computing to machine learning, data science, and data engineering. With this training course, candidates will also have the leverage of learning how techniques of agile software development can be applied to different projects that will be helpful in developing global-scale cloud infrastructures, and portfolio projects. Along with the above, the course will also provide one agreeable certificate of completion that can be a step towards career growth.

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4 Weeks
Beginner
3,257
Skills Covered:
Knowledge of cloud computing
Certificate

Cloud Computing Fundamentals on Alibaba Cloud

If you want to dive into the world of cloud computing through Alibaba Cloud, the Cloud Computing Fundamentals on Alibaba Cloud course by Coursera is designed precisely for you. The programme investigates storage, auto-scaling, networking, security solutions, and scenarios to best combine these products and create a complete cloud-based architecture.

The Cloud Computing Fundamentals on Alibaba Cloud online course provides hands-on training in various Alibaba products like Server Load Balancers, Alibaba Cloud’s ECS, OSS, VPC, CDN, Alibaba Cloud Security, Auto Scaling, and CloudMonitor products. With such a comprehensive skill set, you’ll be able to crack the Alibaba Cloud ACP Certification Exam easily.

After completing the Cloud Computing Fundamentals on Alibaba Cloud course, you will have a general knowledge of the IT industry, network security, and cloud computing. Moreover, you’ll also be adept at developing cloud-based solutions following the best practices. 

Moreover, you’ll also receive a Coursera certificate at the end of the programme, which you can put to good use by sharing on your LinkedIn profile or attaching it to your resume.

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4 Weeks
Beginner
3,257
Skills Covered:
Database Management Knowledge of cloud computing

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Certificate

Smart Analytics, Machine Learning, and AI on GCP

4 Weeks
Intermediate
4,093

Offered by

Certificate

Essential Google Cloud Infrastructure: Foundation

4 Weeks
Intermediate
4,091
Fundamentals of Scalable Data Science

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Certificate

Fundamentals of Scalable Data Science

The Fundamentals of Scalable Data Science online course is a beginner level programme that will introduce the students to crucial and fundamental topics of data science. The course talks about the concepts of the subject matter such as Apache spark with the usage of Pyspark and Python, its applications, preprocessing of data, and others. Students can get a preview of the programme and the course can be accessed for free for a period of seven days. The Fundamentals of Scalable Data Science training course is also available in the audit mode as well as in subscription mode. 

Students are free to choose the mode of their course according to their requirements. The course is provided in association with IBM. The Fundamentals of Scalable Data Science certification syllabus of the programme needs to be completed in the meantime of 21 hours. This self-paced learning programme by Coursera allows the user to choose their study schedules according to their comfort. Since this is a beginner level programme, the course does not require the user to have any prerequisites for getting into the course. If the student chooses to get a subscription to the Fundamentals of Scalable Data Science classes course, he or she will be eligible to get a certificate for the course at the end upon the completion of the curriculum.

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4 Weeks
Beginner
4,018
Skills Covered:
Statistical skills Knowledge of Python Knowledge of Apache Spark
What is Data Science

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Certificate

What is Data Science

4 Weeks
Beginner
4,091
Data Science Methodology

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Certificate

Data Science Methodology

4 Weeks
Beginner
4,091
Cyber Threats and Attack Vectors

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Certificate

Cyber Threats and Attack Vectors

The Cyber Threats and Attack Vectors online course is developed by the University of Colorado and is offered by the online course provider Coursera. The course is a part of the Cybersecurity for business specialization which the candidate can finish in approximately twelve hours. The course educator for the Cyber Threats and Attack Vectors online programme is Greg Williams who is a lecturer in the department of computer science.

The Cyber Threats and Attack Vectors certification by Coursera helps the students in developing awareness of the potential threats to the security of the computer systems. It is common for hackers to get access to our data systems hence is it necessary to keep our business and data systems secure. The Cyber Threats and Attack Vectors online training which includes innovative lectures, videos, readings and quizzes which deal with the concepts of cybersecurity, network and system hacks, cloud security and data breaches will provide insights on how to stay alert and keep our systems away from threats.

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4 Weeks
Beginner
4,093
Skills Covered:
Knowledge of Cyber Security Knowledge of IT industry Knowledge of Hacking concepts Knowledge of cloud computing
Asymmetric Cryptography and Key Management

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Certificate

Asymmetric Cryptography and Key Management

4 Weeks
Intermediate
4,091
Security Governance and Compliance

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Certificate

Security Governance & Compliance

Security Governance & Compliance is a  programme administered jointly  by the University of California, Irvine and Coursera in the online mode. The certification programme belongs to the  Introduction to Cybersecurity & Risk Management Specialization. Security Governance & Compliance Certification Syllabus will render the learners a sheer glance into cyber security in general and security & risk management in particular. 

Offered by Coursera, Security Governance & Compliance Certification Course will also explore the basic concepts of cyber security, security governance design, the NIST cybersecurity framework and many more. Security Governance & Compliance Certification by Coursera is developed by the University of California, Irvine in a self-paced mode that can be completed fully within about 9 hours.

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4 Weeks
3,257
Skills Covered:
Knowledge of Cyber Security
Personnel and Third Party Security

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Certificate

Personnel & Third-Party Security

Personnel & Third-Party Security is an online certificate course on the aspects of cyber security and risk management. The online programme with around 9 hours of completion time can be pursued by the learners at their own convenience and pace. The Personnel & Third-Party Security Certification Course is developed and administered by the Division of Continuing Education of the University of California, Irvine. 

Personnel & Third-Party Security Training will explore security threats, personnel security, third-party security, and other aspects of cyber security and will closely examine the role of personal security in the safeguarding of physical assets, intellectual property, and property of organizations. Plus, the course will help to know closely the third-party security software, third-party security management, third-party cyber security, and the like.  Provided by Coursera, Personnel & Third-Party Security Certification by Coursera is the third and the last programme in the Introduction to Cybersecurity & Risk Management Specialization. 

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4 Weeks
3,257
Skills Covered:
Knowledge of Cyber Security

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University System of Georgia, Atlanta via Coursera
Certificate

Cybersecurity and the Internet of Things

Cybersecurity and the Internet of Things is a certification programme, provided by the  University System of Georgia, intended at providing the students with a clear awareness of the Internet of Things (IoT) which represents the physical objects (things) related to the software, sensors, etc to exchange the data with systems and devices using the internet. Cybersecurity and the Internet of Things Certification Syllabus will talk about the internet capabilities,  programmed devices, and a lot more. 

Administered by Coursera, the Cybersecurity and the Internet of Things Certification Course is the second of the four courses in Cybersecurity: Developing a Program for Your Business Specialization and is provided completely in the mode of online.  Cybersecurity and the Internet of Things Certification by Coursera include videos, case studies, readings, quizzes, etc in each module to make the learning process of the candidates easy. 

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4 Weeks
Intermediate
4,018
Skills Covered:
Knowledge of Cyber Security
Cybersecurity Capstone Breach Response Case Studies

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Certificate

Cybersecurity Capstone: Breach Response Case Studies

The use of computer systems to store and share data has led to the threat of cyber-attack and unauthorized access to sensitive data. This has given birth to a new branch in information technology which is named as Cybersecurity. Cybersecurity deals with the practices and processes that are made to protect data, devices, networks, and applications from damage and unofficial access.

The Cybersecurity Capstone: Breach Response Case Studies programme will provide a platform to the candidate, to attain necessary skills to work as a professional research analyst in Cybersecurity. By taking up the course, the participant will be exploring the methodologies related to incident response and the models of the security.

They will be getting insights, to categorise and recognise various important types of attacks and vulnerabilities at their workplace. Also, they will be exploring the breaches that happened in the recent past, to understand the process of identification of the threat and measures taken by the organisation to combat the threat and reduce its risks in future.

The participants will be provided with a project wherein they will be selecting a breach in cyber security, carry out analysis of the timeline of the attack, the effect of an attack on systems, by applying their knowledge and skills. The Cybersecurity Capstone: Breach Response Case Studies training course is for anyone who wants to learn the basics of cybersecurity and gradually attain expertise.  

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4 Weeks
Beginner
4,085
Skills Covered:
Knowledge of Cyber Security
Using Machine Learning in Trading and Finance

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New York Institute of Finance, New York , Google Cloud via Coursera
Certificate

Using Machine Learning in Trading and Finance

The Using Machine Learning in Trading and Finance online course is providing a platform for the students to learn and study about the basics that are involved in developing advanced strategies that are used in modern machine learning techniques. 

In the online programme on  Using Machine Learning in Trading and Finance by Coursera, the applicants will be studying the key components that are common to all the trading strategies irrespective of the platforms and dimensions. 

In the Using Machine Learning in Trading and Finance certification syllabus, the enrolled students will be covering the comprehensive chapters of-  Regularization: L1, L2, and early stopping, Regularization: dropout, Lab Intro: Keras functional API, Regularization: the basics, Neural networks with Keras functional API, Collect the data, Backtest on unseen data, Selecting a machine learning algorithm, Lab Intro: momentum trading, Creating features, Define the problem, Split the data and others.

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4 Weeks
Intermediate
4,093
Skills Covered:
Machine learning
Introduction to Trading, Machine Learning and Google Cloud Platform

Offered by

New York Institute of Finance, New York , Google Cloud via Coursera
Certificate

Introduction to Trading, Machine Learning & GCP

The Introduction to Trading, Machine Learning & GCP online course is an intermediate level of course. Students can look up the programme on the official website of Coursera. In this programme, students will learn about trading, its features, trends, and aspects related to trading. The course will discuss the different quantitative strategies that are considered for trading and trading structure. 

The course also talks about Google cloud and machine learning aspects in the programme. The course is a free programme that does not require any admission fee or registration charges and allows the candidates to enjoy the learning experience at their own speed. The Introduction to Trading, Machine Learning & GCP certification syllabus of the program is categorized on a weekly basis and demands four weeks for the program. 

Students are free to set their schedules according to their willingness and the entire program can be completed in 9 hours. Through the assignments and exercises, the students are able to understand every concept properly. At the end of the Introduction to Trading, Machine Learning & GCP certification course, students can also complete the procedure of getting a certificate if they want to be a certified user of the program.

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4 Weeks
Intermediate
4,093
Skills Covered:
Knowledge of Algorithms Machine learning Knowledge of cloud computing
Introduction to Machine Learning in Sports Analytics

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Certificate

Introduction to Machine Learning in Sports Analytics

Introduction to Machine Learning in Sports Analytics is an intermediate-level online course provided by Coursera which is one of the leading online course providers.  The online certification programme will guide the learners on how to use machine learning in sports analytics. Offered by Coursera, Introduction to Machine Learning in Sports Analytics Certification Course is the last course in the Sports Performance Analytics Specialization offered by the University of Michigan. 

Introduction to Machine Learning in Sports Analytics Certification Syllabus will discuss the machine learning techniques, the prediction of athletic outcomes with machine learning, and many more. Introduction to Machine Learning in Sports Analytics Certification by Coursera can be taken by learners who have familiarity with Python

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4 Weeks
Intermediate
3,256
Skills Covered:
Machine learning
Guided Tour of Machine Learning in Finance

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Certificate

Guided Tour of Machine Learning in Finance

Guided Tour of Machine Learning in Finance is offered by Coursera for intermediate-level students and learners to know the application of machine learning in finance. The online programme is the first programme in the Machine Learning and Reinforcement Learning in Finance Specialization offered by New York University and the Guided Tour of Machine Learning in Finance Certification Course can also be taken as a separate single programme. 

Provided by Coursera, Guided Tour of Machine Learning in Finance Training will shed light on machine learning and the application of ML to cope with various financial problems. Though the Guided Tour of Machine Learning in Finance Certification by Coursera is offered for intermediate learners, it is very needed for the learners to have an understanding and experience of Pythonlinear algebra, basic probability theory, and basic calculus to successfully complete the assignments. 

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4 Weeks
Intermediate
3,256
Skills Covered:
Machine learning
Sample Based Learning Methods

Offered by

University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
Certificate

Sample-based Learning Methods

The University of Alberta and Alberta Machine Intelligence Institute offer the Sample-based Learning Methods training programme in conjunction with Coursera. An intermediate-level course, the programme is spread across four weeks, with intensive modules on reinforcement learning. The course will also help you understand how learning from experience can help you attain optimal behaviour. 

The Sample-based Learning Methods certification course will help you understand concepts like Temporal Difference learning, Monte Carlo strategy, exploration, dynamic programming, and more. Moreover, the certification course will provide you with a chance to apply TD algorithms, Expected Sarsa, Q-learning, and more.

Instructors will conclude the Sample-based Learning Methods online course by looking at how algorithms can combine model-based planning and temporal difference updates to fast-track learning. Additionally, the certification course offers the flexibility to learn at your own pace in your own time and set your own deadlines. 

You will also receive a combined shareable certificate from the University of Alberta and Coursera, upon completion of the Sample-based Learning Methods course.

...Read More
4 Weeks
Intermediate
6,590
Skills Covered:
Machine learning Knowledge of Artificial Intelligence

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