Are you considering a career as a data scientist? This career path holds plenty of well-paid opportunities for someone who enjoys analyzing data. Glassdoor ranks data scientists as the third best job in America in their 2022 50 Best Jobs in America report.
The average data scientist’s pay is $100,560, according to the U.S. Bureau of Labor Statistics. The median mid-level data scientist salary is $130,000, according to a 2020 Burtch Works study. The median entry-level salary is $85,000, and senior-level data scientists earn a median of $170,000. Many people who work remotely for different companies can make even more because they can work remotely for multiple companies at the same time from the comfort of their homes. Organizations are paying top dollar for data scientists because they know they can make better business choices with the help of big data. Starting pay for these occupations remains high, particularly for those with a graduate degree in data science or a related discipline, since the supply of data professionals hasn’t yet kept up with demand.
The Bureau of Labor Statistics predicts that the need for computer scientists will increase in tandem with the need for cutting-edge technological advancements. The job market for those who work with computers and data is expected to rise by 16% between 2018 and 2028.
Africans interested in obtaining training in this career path now have the opportunity to do so, and interestingly through top American Universities. And the best thing is that it is online, self-paced, and free. Here we’ve compiled the list of these universities, please feel free to find out more information about them and how to get started.
Harvard University: Data Science: Linear Regression.
Learning about the history of linear regression and how to analyze the connections between variables will be the focus of this course.
The time investment every week for this beginner-level course is one to two hours, and the course lasts for eight weeks at your own pace. There is a professional certificate in data science available for $790.80 that includes this course. Harvard T.H. Chan School of Public Health and Dana-Farber Cancer Institute biostatistics professor Rafael Irizarry teaches all nine courses in the professional certificate program.
University of Michigan: Data Science Ethics. The University of Michigan offers a free, online course on data science ethics that places an emphasis on privacy and informed consent. T his four-week, three- to four-hours-per-week course is taught by H. V. Jagadish, a professor of electrical engineering and computer science at Michigan. After finishing the course, participants may pay $49 to be issued a certificate.
University of California–Irvine: Intro to Analytic Thinking, Data Science, and Data Mining.
In this Fortune-recommended course, students will get an understanding of the ethical considerations that arise when working with data and the many business challenges that may be tackled using data science. This course may be finished in around seven hours over four weeks. The course is taught by Julie Pai, the associate director of technology programs at UC Irvine, and Dursun Delen, a professor of data science at the university.
Johns Hopkins University: Data Science in Real Life.
The institution provides a free online course called “Data Science in Real Life,” in which students may learn about ideal data science experiences and the difficulties that professionals in the field encounter. The training will cover both A/B testing and data quality management. The 7-hour course is designed to be finished in a single week. Johns Hopkins University Bloomberg School of Public Health’s Brian Caffo, Roger D. Peng, and Jeff Leek are the facilitators.
Columbia University: Machine Learning for Data Science and Analytics
Machine learning allows for automated systems to be self-teaching. This course teaches students how to search for and organize data using algorithms, as well as how to change data using manipulation and pattern recognition.
This self-paced course may be finished in about five weeks with seven to ten hours of weekly effort. The facilitators include Columbia University faculty members Ansaf Salleb-Louissi, Cliff Stein, and David Blei. Although the course itself is free, full access to it will set you back $99.
MIT: Introduction to Computational Thinking and Data Science.
Students do not have to pay anything to access the course materials, including the video recordings, syllabi, presentations, files, assignments, and software.
However, students should usually complete an introductory course in computer science and Python programming before beginning this course. Students will be prepared to tackle programming tasks after taking a course that introduces them to computational thinking and data science.
Duke University: Data Science Math Skills.
Prospective Data Scientists need a solid grasp of mathematics. Set theory, number lines, algebra, summation, and distance formulae are just some of the math covered in this free online course geared at data scientists. In addition to preparing you for Duke’s other free online course, Mastering Data Analysis in Excel, this one will prove to be an invaluable resource. Daniel Egger, Duke University’s executive-in-residence for engineering management, and Paul Bendich, associate professor of mathematics at Duke, teach it. Upon completing the course, which takes four weeks and 13 hours, you will be awarded a completion certificate.
Western Governors University: Network and Security Foundations.
Network and Security Foundations is a course that teaches students the basics of network security in addition to the fundamentals of computer network design. According to Fortune, this is one of the best master’s degree programs in cybersecurity offered entirely online in the United States.
Concepts and techniques related to network security, threat, risk mitigation, and security management are also introduced at this beginning level. Both Gerri Light, the program head of WGU’s College of IT, and Michelle Watt, a WGU faculty, will be teaching the classes.
A self-paced course may be completed in as little as 10 hours per week over eight weeks. WGU also offers an “unlimited access” version of the course for $166.08, allowing students to keep utilizing the contents even after the official course completion date has passed. As a bonus, even if students only have limited access to the materials, they may still complete the course for free.
New York University: Introduction to Cyber Attacks.
New York University is offering a four-week-long online course that will educate you on the dangers of cyberspace and how to protect yourself from attacks.
These include “Introduction to Cyber Attacks” and “Basic Security Frameworks and Risk Analysis in Cybersecurity.” Edward G. Amoroso, a professor, and researcher at NYU’s Tandon School of Engineering will be leading the next meeting this year. Amoroso is the founder and current CEO of the cybersecurity advisory and consulting business TAG Cyber.
Stanford University: Cryptography I.
Through the use of cryptography, a conversation between the sender and the receiver may be kept private. In other words, this essential cybersecurity strategy helps to stop intervention from outsiders. All the ins and outs of cryptography are taught to the students, along with their practical application.
There will also be time for participants to work on field practice issues during this Stanford University-hosted workshop. There is some leeway in the assignment due dates, and the course only has to be completed in around 23 hours over seven weeks.
Professor Dan Boneh of the Cryptography and Electrical Engineering departments at Stanford University teaches Cryptography I.
University of Michigan: Internet History, Technology, and Security
This accelerated 10-week course covers the fundamentals of Internet culture, infrastructure, and safety. Charles Russell Severance, the course instructor, will cover topics including online security and encrypting data for privacy. In addition, he will talk about the evolution of networks and the commercialization of the internet as a whole, as well as their effects on culture and society.
University of Maryland: Hardware Security.
Hardware Security is a required course in the University of Maryland’s online cybersecurity specialization program, whereby students learn the fundamentals of cybersecurity and cryptography. There will be seven weeks of instruction spread out across the course’s total of 12 hours.
Students will be able to see weaknesses in the design flow of digital systems and appreciate the potential for physical assaults on such systems after completing this course.