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![Top Free Data Science Online Courses for 2024](https://www.kdnuggets.com/wp-content/uploads/arya_top_free_data_science_online_courses_2024_1.png)
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We’re 3 months into the brand new yr. Wow, time goes by quick. With that being mentioned, what number of of you may say that you’re on track to succeed in your targets, if it’s Q1 targets, studying targets, and so forth?
It’s onerous. It’s onerous to remain on prime of all the pieces and obtain each aim.
If studying information science was one among your 2024 targets, KDNuggets is right here that will help you so your journey to studying new abilities and shifting careers is clean.
I’ve put collectively an inventory of FREE on-line information science programs that may assist you construct a stable basis of information science information, abilities and finest practices to have an excellent profession within the information world.
From: DataCamp
Hyperlink: Understanding Data Science
If you happen to’re new to the info science world, the very first thing you need to get your head round is the fundamentals. With no coding concerned, this free course will outline what information science is.
You’ll dive deeper into what an information science workflow is and the way information science is utilized to real-world issues. After getting understanding of the sphere, you’ll finish off will studying about totally different roles inside the information science discipline.
From: Harvard College
Hyperlink: Introduction to Programming with Python
Have you ever determined to decide on Python as your programming language selection? Nice concept.
It’s been a well-liked programming language for some time now and now you may be taught it with this self-paced course which can take you roughly 10 weeks to finish. This course has been particularly designed for college students who don’t have any prior expertise or information with regards to programming and want to transition into the info science world by studying Python.
The next subjects are coated: capabilities, variables, conditionals, loops, exceptions, libraries, unit assessments, file I/O, common expressions, object-oriented programming, and extra.
From: DataCamp
Hyperlink: Python Data Science Toolbox
Because it’s been the most well-liked programming language for a number of years now, there isn’t any hurt in perfecting the Python programming language.
With no coding expertise or ability wanted, Half 1 of the Python Knowledge Science toolbox course teaches you methods to successfully analyze and visualise your information. With 13 movies included on this course, you’ll go from information manipulation to plotting information with Matplotlib.
From: Harvard College
Hyperlink: Data Science: R Basics
Perhaps you haven’t gone for Python and perhaps you will have determined to decide on R as your programming language. No matter what you resolve to go forward with – it’s all the time good to start out with the fundamentals. Harvard College gives a Knowledge Science: R Fundamentals course that lets you construct a stable basis within the R programming language – from studying methods to wrangle, analyze, and visualize information.
The course is free; nonetheless, you may pay for a verified certificates for $149.
From: Stanford On-line
Hyperlink: Statistical Learning
I say it on a regular basis and I’ll say it once more – it is extremely vital to find out about statistics in information science. This Statistical Studying course by edX will give you the principle instruments utilized in statistical modelling and information science.
It covers the next subjects: an summary of statistical studying, linear regression, classification, resampling strategies, linear mannequin choice and regularization, shifting past linearity, tree-based strategies, assist vector machines, deep studying, survival modelling, unsupervised studying, and a number of testing.
From: Google
Hyperlink: Google Data Analytics
You have got in all probability heard about this course lots – it is extremely in style. It consists of 8 sections, the place you’ll be taught in regards to the day-to-day use of information, finest practices and processes that it’s best to anticipate in your new information science/analytics jobs.
You’ll discover ways to clear and set up information for the evaluation course of and make calculations utilizing spreadsheets, SQL and R programming. It doesn’t cease there, you’ll additional your analytical abilities by creating information visualizations and in addition studying about instruments equivalent to Tableau.
From: Coursera
Hyperlink: Machine Learning Specialization
This course has been put collectively by Andrew Ng, Founder & CEO of Touchdown AI, Founding father of deeplearning.ai, and Co-Chairman and Co-Founding father of Coursera. He has constructed a machine studying specialization made up of three programs:
- Supervised Machine Learning: Regression and Classification
- Advanced Learning Algorithms
- Unsupervised Learning, Recommenders, Reinforcement Learning
These programs are free; nonetheless, there’s a price in the event you want to get licensed.
These 7 programs assist you construct abilities in several features of information science, to make sure you have the abilities and information you require to be nice at your information science job.
For instance, engaged on being proficient within the Python programming language, or the R programming language. Perceive the significance of studying statistics in information science, and the way it impacts the analytics course of. Final however not least, put all the pieces collectively and apply it to machine studying, for instance, regression and recommenders.
Blissful Studying!
Nisha Arya is an information scientist, freelance technical author, and an editor and neighborhood supervisor for KDnuggets. She is especially occupied with offering information science profession recommendation or tutorials and theory-based information round information science. Nisha covers a variety of subjects and desires to discover the alternative ways synthetic intelligence can profit the longevity of human life. A eager learner, Nisha seeks to broaden her tech information and writing abilities, whereas serving to information others.
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