Data Science & Analytics courses

4.46

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,”...

The course is devoted to the systematization of the mathematical background of the students necessary for the successful mastering of educational disciplines in the field of computer vision. The course includes sections of mathematical analysis,...

Every day we interact with the cloud—whether it’s using Google Drive, apps like Salesforce, or accessing our favorite websites. Cloud computing has become the norm for many companies, but what exactly is the cloud and...

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

4.9

Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how...

Why Learn Python? Python is a general-purpose, versatile and popular programming language. It’s great as a first language because it is concise and easy to read, and it is also a good language to have...

4.83

D​escribe different types of data analytic questionsConduct hypothesis tests of your dataA​pply linear modeling techniques to answer multivariable questionsA​pply machine learning workflows to detect complex patterns in your data

4.84

Participate in the application of machine learning, helping select between and evaluate technical approachesInterpret a predictive model for a manager or executive, explaining how it works and how well it predictsCircumvent the most common technical...

3.56

Project structure of interactive Python data applicationsPython web server frameworks: (e. g. ) Flask, Django, DashBest practices around deploying ML models and monitoring performanceDeployment scripts, serializing models, APIs

4.39

[NOTE: This course will be constantly updated & improved as per your feedback. All questions will get answered and the course author (Michael) will be very present to guide you. ]This course was built by...

Why Learn SQL? We live in a data-driven world: people search through data to find insights to inform strategy, marketing, operations, and a plethora of other categories. There are a ton of businesses that use...

4.79

In this course, you will: - Explore the applications of GANs and examine them wrt data augmentation, privacy, and anonymity - Leverage the image-to-image translation framework and identify applications to modalities beyond images - Implement...

4.48

This is the sixth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow...

Spreadsheets are an essential tool for any marketing professional, but how does one keep these spreadsheets clean and accurate - especially when multiple parties contribute data? Data validation and regular expressions are powerful tools for...

What's behind the machine learning hype? In this non-technical course, you’ll learn everything you’ve been too afraid to ask about machine learning. There’s no coding required. Hands-on exercises will help you get past the jargon...

Activities in these self-paced labs are derived from the exercises from the book Data Science on Google Cloud Platform by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this Google Cloud Labs Series, covering chapter...

4.95

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today....

Linear regression and logistic regression are two of the most widely used statistical models. They act like master keys, unlocking the secrets hidden in your data. In this course, you’ll gain the skills you need...

4.72

Make use of unicode characters and stringsUnderstand the basics of building a search engineSelect and process the data of your choiceCreate email data visualizations

4.72

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