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I am pleased to share with you another degree program similar to the Computer Science degree program we discussed above. This program is offered by Open Source Society University and is completely free.
He bone/data-science The curriculum is designed for students who are motivated and interested in exploring the world of data science at their own pace. The program provides a comprehensive university curriculum in data science by using courses from some of the best universities in the world. Best of all, there is no financial burden for students who enroll in this program.
The program's curriculum includes all the necessary and optional courses you need to master data science and prepare for your professional life. The data science program focuses on theory, mathematics, algorithms, statistics, and data science tools. Here is the full list of topics we will cover in this program:
- Introduction to data science: Understand the basic concepts and scope of data science.
- Informatic introduction: Essential for beginners; those who are fluent in any programming language can skip this.
- Programming courses:
- Python for everyone
- Introduction to computing and programming using Python
- Introduction to Computational Thinking and Data Science
- Data structures and algorithms: Taught in Java (Java Programming, Algorithms, Part I and II).
- Databases: From database management basics to MongoDB for developers.
- Math: Including single variable calculus, linear algebra and multivariable calculus.
- Statistics and probability: Courses cover descriptive to inferential statistics.
- Data science tools and methods: Tools for data science, data science methodology, data manipulation.
- Machine Learning/Data Mining: Courses range from introductory topics to specialized topics such as Process Mining.
Disclaimer
This program does not award an official degree upon completion. It is a self-paced curriculum based on freely available resources, including videos, code examples, and quizzes. Participants do not need to formally register; All materials and guidelines can be accessed through the designated GitHub repository https://github.com/ossu/data-science. This program is structured to provide a broad learning experience similar to a Data Science degree; However, it is not official and does not grant academic accreditation or recognition by educational institutions.
1. Duration and planning
You can complete the program in 2 years if you spend around 20 hours per week studying. To help you plan, use this spreadsheet to estimate its completion date. Simply enter your start date and weekly study hours on the schedule sheet. You can track your progress by updating the curriculum data sheet with the end date of each course.
2. Order of classes
You should understand that some courses can be tackled simultaneously, while others must be taken one after the other. You can view the given chart to understand the sequence of topics and courses.
Picture of bone/data-science
3. Track your progress
Create a Trello account and copy the provided board on your bill. You can find instructions on how to do this. here. After that, move the cards to the “In Process” or “Ready” columns as you progress through your courses.
4. Choice of programming languages
Python, R, and SQL are the main programming languages used in the data science community. The curriculum covers all three languages, but it is important to note that one should focus on understanding the basics rather than just the language itself. These fundamental concepts must be thoroughly understood so that they can be applied using any programming tool.
5. Prerequisites
A prerequisite for this course is a basic understanding of mathematics and statistics at the high school level.
Enrolling in a free Data Science college program is a great starting point, but it's important to remember that this is just the beginning. Becoming the coveted “super data scientist” requires more than just courses. It requires dedication to expand your knowledge through specialized topics, actively participate in projects and gain practical experience through internships. You must be willing to build your career step by step, laying a solid foundation with each new skill and experience.
By adhering to this structured and focused program, you are putting yourself on the path to mastering data science. Remember, the path to becoming a competent data scientist is as important as the destination. Embrace and enjoy your learning process as each step brings you closer to achieving your professional goals in this exciting and constantly evolving field.
Abid Ali Awan (@1abidaliawan) is a certified professional data scientist who loves building machine learning models. Currently, he focuses on content creation and writing technical blogs on data science and machine learning technologies. Abid has a Master's degree in technology Management and a Bachelor's degree in Telecommunications Engineering. His vision is to build an artificial intelligence product using a graph neural network for students struggling with mental illness.
