Data Science Resources for Beginners

 


The standard college degree road and the self-study approach to data science are two of the most common methods to enter the field.

Traditional College Degree Pathway:

Graduate-level data science programmes are available from a number of prestigious universities. These are graduate-level programmes, which means that most will require an undergraduate degree in an analytical discipline like physics or mathematics. For full-time students, these programmes normally last from three to four semesters. Data Science Master, Data Analytics Master, or Business Analytics Master are all examples of traditional programmes. Traditional face-to-face programmes can cost anywhere from $15,000 to $40,000, not counting living expenses, for tuition. For online master's degree programmes in data science, the cost could range from $12,000 to $40,000. To learn about the best online master's degrees in Europe and North America, click on the following links.

Self-Study Pathway:

If you want, put in four years at a college (or more at a graduate school). This will offer you a greater understanding of the topic of data science, but if your circumstances don't allow you to obtain a college degree, you can (with some enthusiasm and determination) educate yourself about data science through self-study. edX, Coursera, Learnbay, and Udemy all provide outstanding online data science courses. With a little time and effort, you can acquire the basics of data science from these courses. As a result, the self-study route is significantly less expensive than pursuing a college degree.

 

The first step in becoming a data scientist is to gain a solid understanding of the fundamentals of the field. The following resources are important for understanding the fundamentals.

1. Massive Open Online Courses (MOOCs)

More and more massive open online courses are springing up to meet the growing need for data science professionals (MOOCs). Most popular MOOC providers are listed here.

 

edX: https://www.edx.org/

Coursera: https://www.coursera.org/

Udemy: https://www.udemy.com/

 

It's important to remember that learning a new skill takes a lot of effort and time. As a result, take your time. Be prepared to complete the course, including all assignments and homework issues, if you desire to do so. Some of the tests and homework assignments are going to be quite difficult to complete. Keep in mind, though, that if you don't challenge yourself, you won't be able to learn and improve.

2. Professional Certificate in Data Science

Learnbay: Certification in Data Science and AI with Domain Specialization.

One of the best institutes for data science training is Learnbay. The Data Science training programme is also supported by training and training services. IBM, located in New York, has partnered with the framework to offer a Data Science Certification.

 

Learnbay is the greatest data science institute because it is best suited for:

●     Learnbay is the best data science institute since it is best suited for:

●     Learn From Basics to Advance Data Science

●     Special Sessions For Non-Programmers

●     Real-Time Industry Projects

●     Doubt Session & Support by Experts

●     Global Certification in Data Science \sCustomized For Working Professionals

 

Analytics: Essential Tools and Methods By way of edX, Georgia TechX

R, Python, and SQL are all used in the teaching of these courses, which include the following:

●     Introduction to Analytics Modeling;

●     Introduction to Computing for Data Analysis;

●     Introduction to Computing for Data Analysis;

 

Applied Data Science with Python Specialization (the University of Michigan, through Coursera)

Courses taught in python (you can audit most courses for free, but some require you to acquire a verified certificate) are included in this collection.

●     Introduction to Data Science in Python;

●     Applied Plotting, Charting & Data Representation in Python;

●     Applied Machine Learning in Python;

●     Applied Social Network Analysis in Python

3. Using a Textbook as a Source of Knowledge

In contrast to online classes, studying from a textbook delivers more nuanced and in-depth knowledge. "Python Machine Learning" by Sebastian Raschka is an excellent introduction to data science and machine learning.

 

The author presents machine learning topics in a way that is easy to understand. In addition, the code is available, so you can practise and design your own models using the code provided. This book has helped me a lot in my career as a data scientist. Anyone interested in a career in data science should read this book. The book can be understood by anyone with a basic understanding of linear algebra and programming.

 

Wes McKinney's "Python for Data Analysis," "Applied Predictive Modeling" by Kuhn & Johnson, and Ian H. Witten, Eibe Frank & Mark A. Hall's "Data Mining: Practical Machine Learning Tools and Techniques" are all outstanding data science textbooks.

4. YouTube

Many educational videos and tutorials are available on YouTube that may teach you the fundamental arithmetic and programming abilities needed in data science, as well as a number of tutorials for those who are new to the field. There are several video lessons and lectures that can be found with a simple internet search. On YouTube, I'm a big fan of the following courses:

 

 https://www.youtube.com/c/LearnbayDataScienceandAI/videos

https://www.youtube.com/c/Skillslash/playlists

https://www.youtube.com/c/edurekaIN/playlists

5. The Khan Academy

If you need to master basic arithmetic, statistics, calculus and linear algebra in order to work in data science, Khan Academy is an excellent resource. For anyone who is interested in data science but lacks the necessary quantitative training, this should be an excellent resource.

 

Conclusion

Data is taking over the globe faster than you can imagine, and data science will undoubtedly be one of the most crucial parts for organizations in the near future.. This has resulted in a wealth of options for data scientists and a very profitable career path for those who are well-versed in the field. It's a great moment to start a career in data science. To be successful, you need to have the proper training and qualifications. Today, you need to be in the data industry.

 

If you want to learn Data Science and become a Data Science specialist, I recommend that you check out Learnbay. From my own experience, the Data Science Course will provide you with information about the most current technology, the best firms to work with, and the skills you need to get started in the booming subject of Data Science.

 

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