Mcgill data science certificate

Students who need to complete 97-120 credits to fulfill their degree requirements must, within their first year at McGill, complete 21 credits of basic Science courses: 7 credits in Mathematics (MATH 139 or 140 or 150 and MATH 141 or 151) and 14 credits in at least two departments from Biology (BIOL 111 and/or 112), Chemistry (CHEM 110 and/or ...Program Overview. The M.S. in Statistics and Data Science are terminal degree programs that are designed to prepare individuals for career placement following degree completion. The M.S. does not directly lead to admission to the Statistics Ph.D. program however, those with a strong academic record in statistics and probability theory, and ...LSE’s online certificate courses provide the expert knowledge and skills to enhance your career. With a diverse portfolio of subjects, courses take place over 6 to 10 weeks and provide the ultimate flexibility for professionals looking to upskill for success. Rav Ahuja is a Global Program Director at IBM. Rav leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. He is the architect for the IBM Data Science Professional Certificate and instructor for the Databases & SQL for Data Science course on Coursera. Rav co-founded Cognitive Class, an IBM led initiative to ...Data Science Certificate To earn a Data Science Certificate, students must complete five (5) elective courses (15 units of credit) from the following Data Science course collection: Course Options DAT 200 Statistical Analysis for Data Science (3 Units) DAT 201 Data Analytics & Modelling (3 Units) DAT 202 Data Management (3 Units)Graduate Certificate in Data Science (Applied) To be eligible for the 100% online Graduate Certificate in Data Science (Applied), you will need to meet the following requirement: A completed Bachelor degree or equivalent in any discipline with a minimum GPA of 4.5 (7.0 GPA scale).I obtained a B.Sc. in physics (1975), a MSc degree (1985) and PhD degree (1991) in epidemiology and biostatistics from McGill University. From 1990 until 1996, I worked in the Montreal public health department as an epidemiologist and from 1996-2000 I was a professor at the INRS-Institut Armand-Frappier, University of Quebec. 9.0 Continuing Education Units (CEUs) Overview of various aspects of large data sets and how they are managed both on site and in the Cloud. Emphasis on hands-on experience from data ingestion to analysis of large data sets, both data-at-rest and data-in-motion (streaming data), including defining Big Data and its 5 V's: Volume, Velocity, Variety, Veracity, and Value.Data Science majors draw inference from large data generated from a variety of disciplines. Core courses cover mathematical foundations of data science, programming, algorithms, and databases as well as statistical methods for data science. Majors will also learn about data science in practice within subject matter areas.Research areas: Data Science, Empirical/Behavioral Operations Management, Field Experiments, Platform for Online Marketplaces, Pricing & Revenue Management, Retail Takeaways. Understand the data science and analytics process from start to finish. Develop problem-framing strategies. Deepen your data science methods toolkit to broaden the appropriate application for a variety of business problems. Create a solid storytelling approach to improve the chances of operationalization of data science investment.Honour's Bachelor's degree or equivalent from an accredited institution with a minimum overall average of 70% (B-) in the last four semesters of study with: 1) a major or minor in data science, computer science, mathematics, statistics, or a related field; or 2) working knowledge of statistics and computer programming, as demonstrated ...The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you'll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about ... Complementary Courses (14 credits) At least 14 credits of COMP (or approved by MSc Graduate Program Director) courses at the 500-, 600-, or 700-level. Complementary courses must satisfy a Computer Science Breadth Requirement, with at least one course in two of the Theory, Systems, and Application areas.To find out more about McGill's professional development certificate in data science and machine learning, visit mcgill.ca/scs-datascience. SHARE: Disclaimer This content was funded and approved ...Honour's Bachelor's degree or equivalent from an accredited institution with a minimum overall average of 70% (B-) in the last four semesters of study with: 1) a major or minor in data science, computer science, mathematics, statistics, or a related field; or 2) working knowledge of statistics and computer programming, as demonstrated ...At McGill School of Continuing Studies, he teaches multiple courses in Business Analytics and Data Science. He holds a Ph.D. in Project Management from the University of the Basque Country in Spain, a Master of Science in Entrepreneurship from the Lund University in Sweden, and a Bachelor's degree in Computer Systems Engineering from ...Does anyone know anything about McGill's certificate in data science and machine learning? Just heard about the program, and I was wondering if anyone had graduated from it/knew anything about it. I'm an alumn, and I'm thinking about going back to learn new skills.MSc, PGDip and PGCert Data Science. Available to study anywhere in the world. Learn how to apply technology to real world data science problems and gain an in depth understanding of emerging technologies, statistical analysis and computational techniques. Modes of study. Online | Teaching Centre.LSE’s online certificate courses provide the expert knowledge and skills to enhance your career. With a diverse portfolio of subjects, courses take place over 6 to 10 weeks and provide the ultimate flexibility for professionals looking to upskill for success. In my role as a Data Scientist for a telecommunications AI company - Afiniti, my work primarily focused on using statistical analysis to build Machine Learning Solutions to optimize revenue gained from call-centers. I worked with clients like Caesars Entertainment & T-Mobile USA to deliver an average gain in conversion rate of 5%-7% . AU is Canada's Online University, offering open and flexible distance learning with world-class online courses, undergraduate and graduate degree programs, and professional development options. Athabasca University respectfully acknowledges that we are on and work on the traditional lands of the Indigenous Peoples (Inuit, First Nations, Métis ...This four-course Certificate in Practical Data Science and Machine Learning builds on the quantitative background from the Certificate in Data Analytics, Big Data and Predictive Analytics or previous industry experience (or equivalent). Industry and Careers Professionals with highly developed skills in data science and machine learning are in ...MDS Computational Linguistics. UBC's Master of Data Science in Computational Linguistics is the credential to set you apart. Offered at the Vancouver campus, this unique degree is tailored to those with a passion for language and data. Over 10 months, the program combines foundational data science courses with advanced computational ...Scholarship Amount: between $3,000 and $12,000. This McGill University scholarship for international students is a merit-based entrance scholarship for future full-time undergraduates. There are two types: One-year scholarship and Major scholarship. The One-year Entrance Scholarship is granted based on academic qualifications and is valued at ...Overview. History, Affiliations & Ranking. McGill University is one of the oldest and top-ranked public universities of Canada, which was founded in 1821.According to the QS World University ranking, it is ranked 2nd in Canada and 33rd in the world. The university is well-known across the globe for its excellent teaching and research programmes.Online Graduate Certificates in Data Science. Graduate certificates are usually targeted toward working professionals, so it's no surprise that Illinois schools offer a number of online qualifications with a business focus, like University of Illinois at Springfield's Graduate Certificate in Business Intelligence.Scholarship Amount: between $3,000 and $12,000. This McGill University scholarship for international students is a merit-based entrance scholarship for future full-time undergraduates. There are two types: One-year scholarship and Major scholarship. The One-year Entrance Scholarship is granted based on academic qualifications and is valued at ...Research areas: Data Science, Empirical/Behavioral Operations Management, Field Experiments, Platform for Online Marketplaces, Pricing & Revenue Management, Retail Data Science is an in-demand field that focuses on making decisions supported by data. It's grounded in statistics to formulate relevant questions and determine the answer based on data, and in computer science to manipulate and visualize data efficiently.This program aims to equip This practical program aims to equip professionals and business leaders with essential data analytics skills, as well as tools and techniques required to collect, analyze and interpret business data, create forecasts and machine learning models, design visualizations, and communicate insights. Professional Development The Graduate Certificate in Data Science can provide students with the data science capability and provide a pathway to the Master's program. The University of Sydney is one of the top 50 universities in the world and ranks 1st in Australia in terms of graduate employment. Program Fees: AUD $41, 000. Program Link.Application of data science across various industries and business areas. Data science tools, including Alteryx and Tableau for data preparation, analysis, and visualization. This course is aligned with the IIBA's Certification in Business Data Analytics (IIBA®-CBDA) competencies. More information. (30 INFORMS PDUs)This discussion forum is a safe space to publicly reflect on the Michigan League for Public Policy's racial equity challenge. We ask that you respect the sanctity of this groupStudents who need to complete 97-120 credits to fulfill their degree requirements must, within their first year at McGill, complete 21 credits of basic Science courses: 7 credits in Mathematics (MATH 139 or 140 or 150 and MATH 141 or 151) and 14 credits in at least two departments from Biology (BIOL 111 and/or 112), Chemistry (CHEM 110 and/or ...Common "perceptual tasks" for comprehending a data visualization; Cleveland and Mcgill After laying out this "task" paradigm for thinking about charts, the remainder of Graphical Perception is focused on understanding how skilled people are at each of these tasks. The authors ran a number of randomized control trials to assess how accurately people perceive the information on a bar ...Data Science presents an intermediate level of content in the areas of statistics, data analytics, big data analytics, machine learning, and technical/software applications. You'll learn technical concepts from leading practitioners and benefit from hands-on courses and computer lab training with the latest industry tools.Students completing this degree will have learned the skills required to work as a data scientist, including a basic understanding of data science techniques, the ability to write data science programs in Python, knowledge and experience in working with both databases and big data infrastructure, skills in applying machine learning and data ...McGill University School of Continuing Studies Professional Development Certificate Data Science and Machine Learning. 2020 - 2021. Concordia University Concordia University Graduate Diploma Biotechnology and Genomics. 2015 - 2016. Concordia University ...Carleton University. The Carleton University offers Data Science collaborative programs in 13 academic disciplines ranging from M.C.S Computer Science, M.A Economics, M.A Communication, Master of Cognitive Science and many more. Eligibility: A completed undergraduate degree, TOEFL (IBT): 86, IELTS: 6.5 overall.At McGill School of Continuing Studies, he teaches multiple courses in Business Analytics and Data Science. He holds a Ph.D. in Project Management from the University of the Basque Country in Spain, a Master of Science in Entrepreneurship from the Lund University in Sweden, and a Bachelor's degree in Computer Systems Engineering from ...Does anyone know anything about McGill's certificate in data science and machine learning? Just heard about the program, and I was wondering if anyone had graduated from it/knew anything about it. I'm an alumn, and I'm thinking about going back to learn new skills.Also generally manipulates the data itself, the data format, field names and structures also requires some network as hard drive of 30GB The HP used 2.4 ghz server for as this requirement is 1,6 ghz the HP, Dell, Cisco used best server for model design choose the less server requirements as the more databases to customers for license or sale. Data science tools, including Alteryx and Tableau for data preparation, analysis, and visualization. Supplementary Information 20 hours of lectures and 60 hours of independent study; course includes synchronous and asynchronous activities. This course is aligned with the IIBA's Certification in Business Data Analytics (IIBA®-CBDA) competencies.Yes. To complete your Physics degree in three years starting in U1, you will likely have to take 5 (3-credit) courses per term. However, since it is still considered full-time at McGill, many students opt to do 4 courses per term. This will likely delay your graduation by a year.Professional Development Certificate in Data Analytics for Business 5 Courses Required Official Description This program is designed to help business leaders and managers develop the analytical mindset required to turn insights obtained from data analysis into actionable business decisions and strategies.Photo by Muzammil Soorma on Unsplash. Data Science is one of the fastest-growing careers in the world. The United States Bureau of Labour Statistics estimates that by 2026, there will be approximately 11.5 million job openings related to Data Science [1].These numbers indicate that the academic, public and corporate sectors already recognise the importance of data professionals to their end goals.for computer science graduates! 30% growth in computing employment • Starting salary: 50K – 60K per year • Great foundation for advanced studies in medicine and law (see some bios from our recent graduates) • Go to graduate school in CS! Many of our graduates pursue a PhD at top-schools such as MIT, CMU, Berkeley, Toronto, UBC, McGill This program will leverage your strengths in quantitative analysis to extrapolate meaningful business insights from large data sets. This program will also introduce you to a practical toolkit to help you work with data at scale. A completed first-year of university in a related field is recommended.Certificates Professional Development Certificate in Data Science and Machine Learning Take your career to the next level by learning to work through a complete data science pipeline and to extract value from data. Admission for the Fall 2022 semester opens on February 1 and closes August 30, 2022. This program is available in person and online.The average salary for an entry-level data scientist is around 60,000 USD annually and with a Master Degree in Data Science, you earn an average of 70,000-90,000 USD a year in Canada. In Canada, Masters in Data Science in Canada is a 10-16 Months long Course and the average tuition fee is around 17,000 USD.Several college students, graduates and working professionals are considering pursuing a postgraduate degree in data science or data analytics. People reach out to me on LinkedIn, Quora and even on Facebook, looking for career advice about getting into data science or analytics careers. ... Data Science - McGill University / Information Studies ...You'll explore the evolution of the fields of data science and predictive analytics. You'll learn up-to-date techniques for data retrieval, preparation, analysis and visualization. Through hands-on exercises and group assignments, you'll build critical programming skills you can use in subsequent courses in the certificate program.Online Graduate Certificates in Data Science. Graduate certificates are usually targeted toward working professionals, so it's no surprise that Illinois schools offer a number of online qualifications with a business focus, like University of Illinois at Springfield's Graduate Certificate in Business Intelligence.This advanced and practical non-credit professional development certificate program is designed to equip participants with the skills required to be highly proficient data scientists and Al developers. This program is Scale AI Accredited. Learn More Apply Now Business AnalysisCertificate in Software Development Students need to complete 30 credits successfully to graduate from this McGill's Software Development program. This Department offers M.Sc and Grad Cert programs that attract students from all over the world.In my role as a Data Scientist for a telecommunications AI company - Afiniti, my work primarily focused on using statistical analysis to build Machine Learning Solutions to optimize revenue gained from call-centers. I worked with clients like Caesars Entertainment & T-Mobile USA to deliver an average gain in conversion rate of 5%-7% .This program aims to equip This practical program aims to equip professionals and business leaders with essential data analytics skills, as well as tools and techniques required to collect, analyze and interpret business data, create forecasts and machine learning models, design visualizations, and communicate insights. Professional Development Dec 01, 2021 · The candidate must have a Cumulative Grade Point Average (CGPA) of at least 3.0 out of a potential 4.0. OR a GPA of 3.2 out of 4.0 in the previous two years of full-time education. Candidates must also be proficient in the English Language. In conclusion, the acceptance rate for graduate students is 30.4%. In the University of New Haven's M.S. data science program, you will develop proficiencies in the key skills expected of leading data scientists, including deep-machine learning and statistical analysis, and the data skills needed to work with unstructured data and natural language processing (NLP). Obtaining a master of science in data science will put you a step ahead the rest.Fundamental concepts and practices of network principles, technical and managerial aspects of data communications, overview of local area and wide-area networks, network topology, network protocols, Internet/intranets, client/server communication, and file sharing. Learn more > CMIS 422 Information System Security. (3 credits) Fall 2021, Fall 2019Short biography: Benjamin Fung is a Canada Research Chair in Data Mining for Cybersecurity, a Full Professor in the School of Information Studies (), and an Associate Member in the School of Computer Science at McGill University. He also serves as Associate Editors for IEEE Transactions of Knowledge and Data Engineering () and Elsevier Sustainable Cities and Society ().MSc, PGDip and PGCert Data Science. Available to study anywhere in the world. Learn how to apply technology to real world data science problems and gain an in depth understanding of emerging technologies, statistical analysis and computational techniques. Modes of study. Online | Teaching Centre.Fall 2021 saw the entry of the first student cohort to the Undergraduate Certificate in Data Analytics for the Petroleum Industry (CERT-DAPI). A generous gift from ConocoPhillips of $1,000,000 over five years has supported the development and operations of the program, and signifies ConocoPhillips' commitment to help meet the growing demand for data science programs in universities.Data Science Job Market in the US and Canada. Harvard Business Review declared Data Scientist as the sexiest job of the 21st century.As per the McKinsey report, the US will face the largest shortage of data science professionals - around 190, 000 professionals by 2018.Even PwC emphasized that data scientists, data engineers, and business analysts are going to be in great demand.Several college students, graduates and working professionals are considering pursuing a postgraduate degree in data science or data analytics. People reach out to me on LinkedIn, Quora and even on Facebook, looking for career advice about getting into data science or analytics careers. ... Data Science - McGill University / Information Studies ...In my role as a Data Scientist for a telecommunications AI company - Afiniti, my work primarily focused on using statistical analysis to build Machine Learning Solutions to optimize revenue gained from call-centers. I worked with clients like Caesars Entertainment & T-Mobile USA to deliver an average gain in conversion rate of 5%-7% . The Graduate Certificate in Data Science and Engineering (GCDSE) consists of 15 credits and is designed to provide a foundation in key aspects of the field. A candidate must complete 15 graduate course credits on-campus or online on a program of study approved by advisors that includes: A specified foundation course in each of statistics ...McGill University School of Continuing Studies Professional Development Certificate Data Science and Machine Learning. 2020 - 2021. Concordia University Concordia University Graduate Diploma Biotechnology and Genomics. 2015 - 2016. Concordia University ...Short biography: Benjamin Fung is a Canada Research Chair in Data Mining for Cybersecurity, a Full Professor in the School of Information Studies (), and an Associate Member in the School of Computer Science at McGill University. He also serves as Associate Editors for IEEE Transactions of Knowledge and Data Engineering () and Elsevier Sustainable Cities and Society ().Master of science (MSc) - Data Science and Business Analytics. Get the tools to take on one of the greatest management challenges in the age of digital technology and artificial intelligence: become an expert in analytics and data science. You'll acquire the skills you need for better decision making, making you more competitive and innovative.Advice for certificates Hi people. I am planning on completing a few online certificate courses to boost my resume, I am mostly interested in something in data science and video game design (unity).Dec 01, 2021 · The candidate must have a Cumulative Grade Point Average (CGPA) of at least 3.0 out of a potential 4.0. OR a GPA of 3.2 out of 4.0 in the previous two years of full-time education. Candidates must also be proficient in the English Language. In conclusion, the acceptance rate for graduate students is 30.4%. Rav Ahuja is a Global Program Director at IBM. Rav leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. He is the architect for the IBM Data Science Professional Certificate and instructor for the Databases & SQL for Data Science course on Coursera. Rav co-founded Cognitive Class, an IBM led initiative to ...W. P. Carey MS-BA. Be on the forefront of Big Data with a W. P. Carey Master of Science in Business Analytics (MS-BA) degree. This explosion of Big Data impacts every part of the global economy, making business analytics specialists one of the fastest-growing careers in our economy. You'll learn to derive value from data and modeling, lead data ... The Graduate Certificate in Data Science and Engineering (GCDSE) consists of 15 credits and is designed to provide a foundation in key aspects of the field. A candidate must complete 15 graduate course credits on-campus or online on a program of study approved by advisors that includes: A specified foundation course in each of statistics ...Research areas: Data Science, Empirical/Behavioral Operations Management, Field Experiments, Platform for Online Marketplaces, Pricing & Revenue Management, Retail Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed. 4 hours Programming Hillary Green-Lerman Course. Introduction to R. Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames. ...Data Science Diploma. Most companies aren't yet leveraging the powerful insights hidden within their data, which is where data scientists come in. Part mathematician, part computer scientist and part trend-spotter, the bottom line is you'll be solving high value business problems with data. Graduates of our 12-week program will be ready for a ...COMP 421 Database Systems 3 Credits COMP 424 Artificial Intelligence 3 Credits COMP 462 Computational Biology Methods 3 Credits COMP 512 Distributed Systems 4 Credits COMP 526 Course not available COMP 551 Applied Machine Learning 4 Credits COMP 561 Comp. Biol. Methods & Research 4 Credits COMP 614 Distributed Data Management 4 CreditsHonour's Bachelor's degree or equivalent from an accredited institution with a minimum overall average of 70% (B-) in the last four semesters of study with: 1) a major or minor in data science, computer science, mathematics, statistics, or a related field; or 2) working knowledge of statistics and computer programming, as demonstrated ...Data Science presents an intermediate level of content in the areas of statistics, data analytics, big data analytics, machine learning, and technical/software applications. You'll learn technical concepts from leading practitioners and benefit from hands-on courses and computer lab training with the latest industry tools.Oct 22, 2021 · Narratives. In February 2020, our team of graduate student researchers started reaching out to interview McGill PhDs who graduated between 2008-2018. If you graduated from McGill with a PhD and would like to share your story, please get in touch with us. Certificate in Data Science at the University of Toronto is offered a 1-year (2 semesters) program.; This course is offered on a full-time basis. Students will cover content essential for the toolbox of a predictive analytics professional, including neural networks and deep learning, programming languages, and software used in data extraction and analysis.Lis holds a Master's degree in Computer Science from McGill University with a focus on computer science education research and applied machine learning. She's passionate about teaching all things related to data and improving the accessibility of these topics.Masters Degree (MS) in Data Science and Analytics in Canada Best Universities in Canada for Data Science & Analytics Courses. Data is probably the most omnipresent virtual quantity, of the 21 st century, with astronomically high quantity of data being generated, every minute, almost as a score card of all the events, and non-events occurring around.. But this data is useless unless its vast ...The average salary for an entry-level data scientist is around 60,000 USD annually and with a Master Degree in Data Science, you earn an average of 70,000-90,000 USD a year in Canada. In Canada, Masters in Data Science in Canada is a 10-16 Months long Course and the average tuition fee is around 17,000 USD.The average salary for an entry-level data scientist is around 60,000 USD annually and with a Master Degree in Data Science, you earn an average of 70,000-90,000 USD a year in Canada. In Canada, Masters in Data Science in Canada is a 10-16 Months long Course and the average tuition fee is around 17,000 USD.Data Science Job Market in the US and Canada. Harvard Business Review declared Data Scientist as the sexiest job of the 21st century.As per the McKinsey report, the US will face the largest shortage of data science professionals - around 190, 000 professionals by 2018.Even PwC emphasized that data scientists, data engineers, and business analysts are going to be in great demand.At McGill School of Continuing Studies, he teaches multiple courses in Business Analytics and Data Science. He holds a Ph.D. in Project Management from the University of the Basque Country in Spain, a Master of Science in Entrepreneurship from the Lund University in Sweden, and a Bachelor's degree in Computer Systems Engineering from ...Professional Development Certificate in Data Analytics for Business 5 Courses Required Official Description This program is designed to help business leaders and managers develop the analytical mindset required to turn insights obtained from data analysis into actionable business decisions and strategies.Data Science is an interdisciplinary undergraduate program at SFU involving coursework in four different areas: Statistics, Computing Science, Mathematics, and Business.The program was designed in light of consultations with industry, analysis of employment trends, and faculty research in upcoming data technologies.Several college students, graduates and working professionals are considering pursuing a postgraduate degree in data science or data analytics. People reach out to me on LinkedIn, Quora and even on Facebook, looking for career advice about getting into data science or analytics careers. ... Data Science - McGill University / Information Studies ...Python trainers wanted! (No, not for the snake). The Computational and Data Systems Initiative is seeking McGill faculty members, postdocs or graduate students to teach one or more workshops on...Data Science majors draw inference from large data generated from a variety of disciplines. Core courses cover mathematical foundations of data science, programming, algorithms, and databases as well as statistical methods for data science. Majors will also learn about data science in practice within subject matter areas.You'll explore the evolution of the fields of data science and predictive analytics. You'll learn up-to-date techniques for data retrieval, preparation, analysis and visualization. Through hands-on exercises and group assignments, you'll build critical programming skills you can use in subsequent courses in the certificate program.You don't have to be a geographer to come to us and work at the Geographic Information Centre's study and work space or get advice and support for your analysis from our team of staff and student experts on GIS, remote sensing and geospatial data science. CONTACT US. Send us an e-mail at [email protected] or call us at 514-398-7438.The Diploma in Data Science and Analytics offers students the opportunity to advance their careers and gain skills for the new digital economy. Designed for working professionals, the curriculum emphasizes collaboration, experiential learning and team building to solve data-driven challenges. Students will learn interdisciplinary data ... Oct 22, 2021 · Narratives. In February 2020, our team of graduate student researchers started reaching out to interview McGill PhDs who graduated between 2008-2018. If you graduated from McGill with a PhD and would like to share your story, please get in touch with us. Python trainers wanted! (No, not for the snake). The Computational and Data Systems Initiative is seeking McGill faculty members, postdocs or graduate students to teach one or more workshops on...9.0 Continuing Education Units (CEUs) Overview of various aspects of large data sets and how they are managed both on site and in the Cloud. Emphasis on hands-on experience from data ingestion to analysis of large data sets, both data-at-rest and data-in-motion (streaming data), including defining Big Data and its 5 V's: Volume, Velocity, Variety, Veracity, and Value.McGill University ranked 3rd in Canada and 46th in the World 2022 overall rankings, plus got TOP 100 in 167 academic topics. EduRank's ranking for McGill University is based on 3 factors: research performance (a proprietary algorithm evaluated 168,765 publications and 8,034,092 citations), non-academic reputation, and the impact of 626 notable alumni.In my role as a Data Scientist for a telecommunications AI company - Afiniti, my work primarily focused on using statistical analysis to build Machine Learning Solutions to optimize revenue gained from call-centers. I worked with clients like Caesars Entertainment & T-Mobile USA to deliver an average gain in conversion rate of 5%-7% . At McGill School of Continuing Studies, he teaches multiple courses in Business Analytics and Data Science. He holds a Ph.D. in Project Management from the University of the Basque Country in Spain, a Master of Science in Entrepreneurship from the Lund University in Sweden, and a Bachelor's degree in Computer Systems Engineering from ...Carleton University. The Carleton University offers Data Science collaborative programs in 13 academic disciplines ranging from M.C.S Computer Science, M.A Economics, M.A Communication, Master of Cognitive Science and many more. 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