In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools … (There’s also a few hours devoted to TensorFlow and Keras in the advanced back end.) This well-ranked, five-course intensive, available via Coursera, starts off with an introduction to basic programming before diving into dataviz plotting and charting, various machine learning methods, text mining and social network analysis — with each course focused on Python. INE’s “pass” gives students access to 18 courses, ranging from novice to professional, from quick-hit intros (the 39-minute Exceptions With Python) to in-depth immersives (seven-plus-hour Deep Learning With Python). Python for Data Science Certificate From Cornell University Students start this seven-course intensive (each course is three weeks) with foundational Python code structure and end using scikit-learn to build their own predictive models. Students should expect to spend four to six hours per week on coursework. Python for Data Science This free Python course provides a beginner-friendly introduction to Python for Data Science. This popular, well-rated sequence — made available through Coursera and taught by IBM data scientists — covers data analysis, visualization, machine learning and more — each through the prism of Python. Most real-world data work is a lot more workaday than, say, fancy computer vision models or deep-learning neural networks. Developers tend to have strong feelings about programming certifications in general — let your demonstration projects and open-source contributions speak for themselves, goes the refrain — and Python is no exception. From there: machine learning-driven techniques like recommender systems and NLP. “[F]ew, if any [digital university courses], combine the institutional credibility, the enormous reach, and the zealous engagement” that the CS50 collection — which includes this AI-with-Python intro — carries, according to a recent New Yorker profile. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Emeritus partners with 15 different universities to bring higher-ed shine to the e-learning galaxy, including its Columbia University Engineering-affiliated data science sequence. "申し訳ありません。サーバーエラーが発生しました。. Dataquest’s track operates on a similar model as DataCamp, with a plethora of courses (nearly three dozen) that students can choose between at will with a yearlong subscription. This course is one of the more well-known, respected options among the online video-lecture courses. MOOCs and e-learning are in the midst of an unexpected (if entirely logical) resurgence. Each course is also available as a standalone option. Description. Python is a general-purpose programming language that is becoming ever more popular for data science. The data-science and machine-learning offering from this long-running bootcamp provider kicks off with a module devoted to Python fundamentals. There’s a notable focus on real-world portfolio-building, with projects that include stock and home-sale predictions, bias analysis based on SAT scores and demographics, and a Bayesian approach to spam filtering.

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