Data science is one of the most in-demand jobs in the IT industry right now. Data analytics will become increasingly popular. More companies will continue to hire data scientists to unearth critical insights and develop business strategies. A data science certification can boost your employment tremendously. Whether you’re a student looking for a successful start in your career or a working adult looking to expand your job prospects. Courses can help you develop the skills that hiring manager’s desire.
The following is a list of the best classes that can be found at recognised educational institutions. There are premium choices available. In addition to free online programmes for obtaining a certificate in data science.
Top Data Science Courses Online
1. Harvard University’s Professional Certificate in Data Science is available through edX.
Harvard University offers a digital course through the premier e-learning platform edX. It prepares you for the tasks of a data scientist by teaching you fundamental data science skills such as R programming, machine learning, and others through actual case studies.
This 2- to 4-month self-paced curriculum has an excellent reputation and is pretty challenging. Rafael Irizarry, a biostatistics expert, and professor at Harvard teaches it. It is also entirely online and less expensive than traditional education, making it highly flexible, accessible, and affordable. The curriculum begins with the fundamentals and progresses to a capstone project in which you apply the skills and knowledge gained over the course cycle to a real-world situation. Candidates who finish the course will also receive a Professional Certificate in Data Science.
2. Coursera Data Science Specialization – Johns Hopkins University
Famous Johns Hopkins University scholars teach this 10-course specialisation on the Coursera platform so it introduces the concepts and technologies required across the data science pipeline. It aims to improve students’ ability to develop relevant questions, interact with data sets, draw conclusions, and create graphics representing findings.
There are eleven courses and a capstone project in this certification program. Students can demonstrate their data science expertise to future employers. The prerequisites for this training are basic Python abilities and some experience with regression.
3. Coursera offers the IBM Data Science Professional Certificate.
This Certification Program offered by IBM is hosted on the Coursera platform and is designed to assist students and professionals in preparing for employment in the field of data science. You will become proficient in the basics of machine learning via extensive study that is both hands-on and practical.
Even so this curriculum comprises nine courses and regards as one of the best in data science. Each class consists of three to six modules that take two to four hours to complete. A novice may require up to 60 to 90 days to finish the program. After finishing this data science program, you will award a certificate and an IBM open credential, demonstrating your expertise in the subject.
4. University of Michigan Coursera Applied Data Science with Python Specialization
This Coursera program produces by four academics from the University of Michigan. It aims to enable students with a basic understanding of programming to manage and comprehend data efficiently. It consists of five courses taught in Python programming because Participants should have prior programming expertise and basic knowledge of Python.
The argument focuses on five different courses taught in Python:
- Introduction to Data Science in Python;
- Applied Plotting, Charting, and Data Representation in Python;
- Machine Learning in Python;
- Text Mining in Python;
- and Social Network Analysis in Python.
Having said that, in order to earn the specialised certificate, students are required to finish all five sessions
5. MicroMasters in Data Science Certification
Faculty members from the University of California, San Diego, established this MicroMasters program, which consists of numerous graduate-level courses available online through edX. It also attempts to understand the mathematical and computational tools that serve as the cornerstone of data science to employ such skills to make data-driven business decisions.
This curriculum blends the mathematics and applied parts of data learning into four modules. As well as Learners introduce to a range of powerful open-source tools required for data analysis and data science. At each stage of the course, students obtain certified certificates. They also get the MicroMasters Program Certificate after completing all four program modules.
6. Complete the Udemy Data Science Bootcamp.
Udemy’s Whole Bootcamp course offers a comprehensive resource manual that may be used to prepare for a career as a data scientist. It starts with the fundamentals of statistics and mathematics and progresses into more advanced statistical concepts, machine learning, tableau, and other topics. In addition to that, there are 88 articles, 144 digital resources, and 27 hours of video included in this course.
This Udemy course is one of the most effective, time-saving, and well-organized on the internet so there are numerous animations, exams, activities, and supplemental resources. Enrolling in this course requires no prior knowledge because everything is covered from beginning to end, and each lesson builds on the one before. Finally, you will be able to manage real-world business situations. Work as a data scientist, and pursue more in-depth expertise.
7. Specialization in Data Science: Foundations Using R – Johns Hopkins via Coursera
Jeff Leek, Roger D. Peng, and Brian Caffo, three outstanding academics from the Johns Hopkins Bloomberg School of Public Health, are the instructors for the university’s entire curriculum So it also covers essential tools and methodologies like acquiring, collecting, and analyzing data, coding in R, and conducting a verified study.
This specialised training consists of five courses with a combined length of approximately seventy hours of video content. Besides this Specialization began with five courses that were completed previously. Students who have little to no prior experience but are interested in learning more about data science are the target audience for this course. Before moving on to more technical issues, they need to finish the real material first.
8. UC Davis Coursera SQL for Data Science
A talented Data Scientist must be able to acquire and manipulate data because SQL is the most often used language for working with database systems. As a result, prior knowledge requires also, the purpose of this course, which offers on the Coursera platform, is to educate students on the fundamentals of SQL and data management so they can begin analyzing data for applications. Furthermore, prior SQL knowledge has not required for this beginner course. It provides a firm foundation by starting with the basics. Students can rapidly write simple and complex SQL queries to retrieve data from databases.
In addition to pre-recorded video lectures, some assignments automatically have scored and peer-reviewed. Students also have access to neighborhood discussion forums. The self-paced curriculum has designed to teach SQL skills quickly.
The Bottom Line:
In the public sector, private sector businesses, and academic institutions all have an increasing need for trained data scientists. Do you have any interest in pursuing a career in data science? In addition, ask yourself if you are ready to acquire the in-depth understanding and practical abilities necessary to solve problems that occur in the real world. In such case, you should start your education in data science by enrolling in one of the online courses or certifications listed above.
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