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28 Best Online Data Science Courses (Beginners, Intermediate, Advanced, and FREE)


So, these are the 5 best free data science courses in the "Best Online Data Science Courses List". Now, let's move to the other best data science course for specific skills-



In today's technologically driven world, data is the most valuable resource. Data is vital to any company's success because it allows for better and faster decision-making. Data science combines different algorithms, tools, and machine learning principles. This is where hidden patterns are found in raw data. As the data generated and analyzed continues to increase at an exponential rate, data analytics will be in high demand. Data science careers are promising.

9 Completely Free Statistics Courses for Data Science


This is a complete Free course for statistics. In this course, you will learn how to estimate parameters of a population using sample statistics, hypothesis testing and confidence intervals, t-tests and ANOVA, correlation and regression, and chi-squared test. This course is taught by industry professionals and you will learn by doing various exercises.

Digital Twins and Artificial Intelligence as Pillars of Personalized Learning Models


Modern educational systems have not really evolved enough to meet the needs of modern students.21 No wonder, the percentage of dropouts from university studies is quite high (40% in the U.S. and 10% in Europe7,9). The university student profile has changed over the years. While yesterday's students were mainly full-time, today's students face challenges such as work commitments, family obligations, financial constraints, physical impairments, and learning models that do not adequately engage students or help them understand core concepts.11 One might think that this issue concerns only those who fail to complete their studies, but this is view is shortsighted. Today's educational system deficiencies will affect the welfare of tomorrow's society. To improve current learning models, academic institutions around the world agree that the time has come to improve the world of education, moving from a traditional approach--where learning is standardized and available only to those with access to educational buildings--to a new paradigm that enables students to personalize their educational pathway, so they can progress at their own pace.19,21

Full Stack Data Scientist A-Z BootCamp


This course is more to the point to help you to quickly master the concept of Data Science to land your dream job at your dream company. The course is taught by industry professionals as well as University of Texas professors. The creators of this course took more than 6 months in consulting Industry and Academic professionals in creating the course curriculum. The content in this course is the same as being delivered to our undergraduate and graduate students on campus. This is a BEGINNER to ADVANCED course for anyone who is interested in making a career in Data Science.

7 Top-Rated Data Science Courses on Coursera to Become a Data Science Professional


The field of data science is growing with increasing demand. Data science is not limited to only consumer goods or tech or healthcare. There is a high demand to optimize business processes using data science from banking, transport to manufacturing. Organizations are now hiring data science professionals to deal with complex data. To become an expert in data science read the article and check out the list of top-rated data science courses on Coursera.

The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI Artificial Intelligence

There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.

100 Best Coursera Courses & Specializations 2021


Are you looking for Best Free Coursera Courses 2021? You can earn a Coursera Certificate with Coursera free courses by applying for Coursera scholarship and by doing Coursera paid courses. You are going to get a 7-day free trial on Coursera when you join and start your very first subscription to do a Coursera Specializations for free. If you do not cancel your free trial you will be automatically transferred to paid subscription on the 8th Day. You can continue your Coursera Classes either by using Coursera App on mobile or on any other devices. This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Learn and launch your career in Data Science with these best Coursera courses. A nine-course introduction to data science developed and taught by leading instructors. Develop programs to gather, clean, analyze, and visualize data. You will get new insights into your data. Learn to apply data science methods and techniques, and acquire analytical skills. This program is designed to take beginner learners to job readiness in about eight months. Design, develop and manage cloud solutions to drive business objectives. Learn to solve real business problems. Master Excel to add a highly valuable asset to your employability portfolio.

Data Science From Scratch [curriculum with 20 free online courses]


Data science is the hottest field and shows no signs of slowing down. Learn topics ranging from programming in Python to deep learning to distributed computing with these free data science courses.

Personalized Education in the AI Era: What to Expect Next? Artificial Intelligence

The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses her weaknesses to ultimately meet her desired goal. This concept emerged several years ago and is being adopted by a rapidly-growing number of educational institutions around the globe. In recent years, the boost of artificial intelligence (AI) and machine learning (ML), together with the advances in big data analysis, has unfolded novel perspectives to enhance personalized education in numerous dimensions. By taking advantage of AI/ML methods, the educational platform precisely acquires the student's characteristics. This is done, in part, by observing the past experiences as well as analyzing the available big data through exploring the learners' features and similarities. It can, for example, recommend the most appropriate content among numerous accessible ones, advise a well-designed long-term curriculum, connect appropriate learners by suggestion, accurate performance evaluation, and the like. Still, several aspects of AI-based personalized education remain unexplored. These include, among others, compensating for the adverse effects of the absence of peers, creating and maintaining motivations for learning, increasing diversity, removing the biases induced by the data and algorithms, and the like. In this paper, while providing a brief review of state-of-the-art research, we investigate the challenges of AI/ML-based personalized education and discuss potential solutions.