It’s been called the ‘sexiest job of the 21st century,’ the ‘hottest job of the decade,’ and is the fastest-growing field in tech at the moment – the impact of Data Science in today’s world might be one of the best-kept secrets to people not in the tech field.
Here is a comprehensive list of the top 18 resources to learn data science online in 2024 to become a certified data scientist and build a career in the field:
How To Become a Data Scientist?
With this in mind, we have put together a comprehensive list of Data Science courses, online tutorials, and resources to help you learn Data Science online, and become a certified data scientist and build a career in the field. Whether you’re looking for full-fledged university courses or to stay informed of the latest developments in the industry, we’ve got something for everyone. Read on to find out more!
Online Courses To Learn Data Science Online
These sites offer Data Science courses online for beginners as well as professionals.
1. Harvard University Data Science Certificate
This is a course that covers several facets under Data Science, including Data Sampling, Data Management, Data Analysis, prediction, and the communication of results. To earn graduate credits, students must complete four of the certificate courses.
2. Simplilearn PG in Data Science
With online training, a rigorous curriculum, and post graduate program from Caltech University and IBM to validate learning, this Professional Certificate Program sets learners on the fast-track to becoming a professional data scientist.
3. Code with Google – Applied Computing Series
Learners can sign up for the Machine Learning Crash Course to access video lectures, case studies, and practice exercises. Another track, Learn with Google AI, enables learners to customize their experience through a mix of videos, tutorials, labs, courses, interactive sessions, and examples of sample code and documentation.
Become a Data Scientist with Hands-on Training!
Data Scientist Master’s ProgramExplore Program
4. California Institute of Technology Learning From Data Course
Delivered as a series of video lectures by professor Yaser Abu-Mostafa from Caltech. The series covers many topics, including algorithms, basic theory, and applications, and features Q&A.
5. Master of Information and Data Science (MIDS) at UC Berkeley School of Information
This Data Science online course targets professionals who are looking to use complex data to solve problems with an emphasis on asking the right questions and presenting findings most appropriately. This web-based program offers live classes as well as online coursework.
Data Science Online Tutorials
These engaging tutorials help learners grasp the essential concepts of Data Science.
6. Codementor
Codementor offers tutorials for beginners and professionals. Learners can access several useful guides on how best to analyze data, including introductions, machine learning, and tips on choosing the right data analytics software packages.
7. Topcoder
This website offers tutorials that discuss the various concepts involved in Data Science and has a platform for industry experts to provide advice. They also provide practical, real-world information on a multitude of topics as well as start-up guides for those who are new to the site.
8. Analytics Vidhya
Here, learners will find a comprehensive tutorial for learning Data Science with R, including an in-depth guide that covers everything from the basics of programming and data exploration to predictive modeling and data manipulation. Other data science tutorials are available, including one on learning Data Science with Python.
9. KDnuggets
They offer a variety of tutorials covering everything from the processes of Data Science to how to get started with Data Visualization. The website also provides two tutorials on potential interview questions for Data Scientists that provide helpful answers and advice from the editors at KDnuggets.
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10. R-bloggers
This tutorial covers the use of R techniques with SQL servers. There are a total of 5 lessons that walk users through the processes involved while incorporating R models into a live SQL server. There are a variety of other tutorials available on this site that offer information on the latest changes and updates in the industry.
11. Flowingdata
Produced by Dr. Nathan Yau, Ph.D., these tutorials offer expert advice on how to present, analyze, and understand data with practical guides to illustrate with real-time examples. Flowingdata also offers readers book recommendations, insights into the life of a Data Scientist, and examples of how data can help people understand the world around them.
Become a Data Scientist with Hands-on Training!
Data Scientist Master’s ProgramExplore Program
Additional Resources to Learn Data Science
For those looking at Data Science as a career or for those looking to enhance their learning, these sites provide in-depth information and resources on the subject:
12. The Open Source Data Science Masters
This website offers a variety of useful resources that will help you understand the concept of Data Science. They include books, tutorials, and study groups for a plethora of subjects, from data design to computing and math. All of the information has been put together by Clare Corthell, founding partner of Data Science Consultancy, Luminant Data.
13. Learn Data Science by nborwankar
Here, learners can find a collection of materials to help when learning Data Science via IPython Notebooks. These books cover many critical topics, including random forests and linear regression, data explorations, and analyses of each area. Students also get worksheets to practice on.
14. Data Science Weekly
A database of Data Science resources and news updates, this website provides readers the chance to opt into weekly newsletters which feature jobs, articles, and news. The site also offers a list of the most valuable books, data sets, and blogs alongside interviews with influential Data Scientists.
15. FiveThirtyEight
This interactive website offers Data Analysis of economic, cultural, health, sports, and political issues. Nate Silver launched the site. Readers can also enjoy these insightful snippets of information through podcasts.
16. Simply Statistics
With a massive collection of articles on the use (and misuse) of data while solving problems, this website showcases the thoughts of three biostatistics professors – Rafa Irizarry, Roger Peng, and Jeff Leek. They post on everything from what inspired them to their advice to aspiring Data Scientists.
17. International Conference on Machine Learning
This international conference, which is run by the non-profit organization, the International Machine Learning Society (IMLS), has been held in numerous locations around the world. Aimed at supporting machine learning, the conferences touch upon a variety of topics with participation from guest speakers and the availability of workshops as well as tutorials.
18. Reddit
Providing an online community that boasts of over 30,000 members, this site offers people a place to share Data Mining resources and research papers. It’s also great for Data Scientists looking to connect with like-minded people who can assist them with unique solutions to challenges.
Future trends and strategies in Data Science
Given the increasing impact and growth of Data Science, it’s evident that this field is quickly becoming a crucial part of virtually every industry. Understanding the trends and strategies to navigate this evolving discipline is essential for both businesses and individuals seeking to remain competitive.
Predicted Trends in Data Science
- Increased demand for Data Scientists: As more companies recognize the value of data-driven decisions, the demand for skilled data scientists will continue to rise. Professionals who can interpret complex data, design and implement machine learning models, and communicate results to decision-makers will be highly sought after.
- Rise of Automated Machine Learning: Automation in machine learning will become increasingly prevalent, enabling simpler development of models and boosting productivity in data science teams.
- Growing emphasis on Data Literacy: Understanding data is not just for the experts anymore. It is expected that basic data literacy will become a required skill across many job roles and industries.
- New Privacy Regulations: As data science continues to grow, so will the need for stricter privacy regulations. Compliance with these regulations will become a significant part of a data scientist’s role.
Strategies to Stay Ahead
- Continued Learning: The field of Data Science is rapidly evolving. Staying current with the latest trends, tools, and technologies through ongoing education is crucial. This can be achieved through online courses, tutorials, and attending international conferences.
- Hands-on Practice: Concepts in Data Science are best understood through practical implementation. Regularly applying your skills on real-world problems, participating in coding challenges and hackathons can prove beneficial.
- Networking: Building connections with experts and enthusiasts in the field can provide invaluable insights. Participating in online communities, such as Reddit and StackOverflow, can provide good networking opportunities.
- Understanding Business Needs: High-performing data science professionals not only have technical skills but also possess a deep understanding of their industry and business. This allows them to identify meaningful patterns in data and deliver actionable insights.
Initiatives like learning data science online, taking up an online course or tutorial, and staying updated with newsletters and news updates, are some of the steps individuals and businesses can take to stay ahead in the fast-paced field of Data Science.