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Unlocking the secrets of data science is not just a skill; It is the power that drives innovation in ai and harnesses the colossal wave of big data.
As we stand on the threshold of a new year, the opportunity to delve deeper into the dynamic world of data science has never been more compelling. We've partnered with Springboard, the leading data science bootcamp offering 1:1 personalized mentoring, dedicated professional support, proven results, and an unbeatable money-back guarantee, to present a collection of hand-picked resources to supercharge your journey to data science in the next year.
Better resources
The following are the best resources for learning data science topics.
Kaggle offers machine learning competitions where teams compete for cash prizes to solve a specific task that requires ai. The site is also packed with community-built datasets, projects, and courses that can help you take the next step in your data science journey.
Python is a fundamental programming language for data science. The ability to import modules that help with data analysis, such as Pandas, helps Python users ingest and organize an impressive variety of data. Learn Python the Hard Way is a free book that will take you from a beginner to being able to confidently go out and create things in Python.
R versus Python is a topic that comes up frequently in relation to data science. Academic data professionals especially value the ability to be able to work with both R and R packages. The ideal answer is to be familiar with both R and Python, but that can be difficult, to say the least. But if you want an equivalent book resource for learning R, this online book, available for free, is the one to check out.
If you think you'd rather learn by doing than by analyzing a textbook, you're in luck. There are many platforms that offer this mode of learning. Codecademy has a pretty comprehensive library for Python linked here and plenty of skill paths that will take you into more advanced fields like deep learning, data manipulation, and chatbot building.
freeCodeCamp is a non-profit organization that offers a curriculum for learning code. They also have numerous certifications focused on data analysis, machine learning, and data science topics.
The Masters in Open Source Data Science
The Open Source Data Science MSc offers a free, open source version of a master's level curriculum for learning data science. It can take you from the beginning to practicing for your first data science job; It is a good option for those who can persevere to the end with self-study, although there are other options available if more support or intervention is needed, such as courses and/or bootcamps.
Awesome Data Science is a GitHub repository of compiled data science resources. Overall, GitHub can be an amazing resource for finding critical data science libraries and resources from your codebases. Most repositories will also have readme files and documentation that can develop their optimal use.
Best training ground
Bootcamps are a good solution if you are looking for dedicated care, support and endorsement on your path to a new career in data science.
Trampoline (New Year's Promotion: $1,500 off)
Springboard offers a leading boot camp solution for those looking to get into data science, backed by proven results, as well as personalized mentoring and career guidance. More than 90% of people qualified for the job at the boot camp got a job within 12 months, and the average salary increase is around $25,000. These results are backed by the Springboard Job Guarantee, which offers people the promise of getting a job or getting their money back. Using the code kdnuggetsshine2024 will give anyone $1500 off until January 2, 2024 at 11:59 pm PST.
Best courses
The courses can be a good option for people looking for a middle ground between a bootcamp and a series of free resources, giving them enough time to really focus on a topic, even if they don't have direct access to personalized human support.
Datacamp offers courses in a variety of data science topics. They are a specialized platform dedicated to data science, sourcing instruction and material from industry data science experts.
Python for data science and machine learning (Udemy)
Udemy offers a variety of courses to learn about the topic. Since it's a course marketplace, the best instructors in a subject can quickly stand out. In this case, this comprehensive course covers both data science and machine learning.
