Search result for Data science training course Online Courses & Certifications
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Introduction to Clinical Data Science
by Laura K. Wiley, PhD- 4.6
Approx. 8 hours to complete
This course will prepare you to complete all parts of the Clinical Data Science Specialization. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud. Accessing Course Data and Technology Platform...
Tools for Data Science
by Aije Egwaikhide , Svetlana Levitan , Romeo Kienzler- 4.5
Approx. 17 hours to complete
What are some of the most popular data science tools, how do you use them, and what are their features? Categories of Data Science Tools Open Source Tools for Data Science - Part 1 Open Source Tools for Data Science - Part 2 Commercial Tools for Data Science Cloud Based Tools for Data Science...
Econometrics: Methods and Applications
by Philip Hans Franses , Christiaan Heij , Michel van der Wel , Dennis Fok , Richard Paap , Dick van Dijk , Erik Kole , Francine Gresnigt , Myrthe van Dieijen- 4.6
Approx. 66 hours to complete
Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making. The course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields....
ML Pipelines on Google Cloud
by Google Cloud Training- 3.7
Approx. 11 hours to complete
>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs. Course Introduction How to download course resources TFX standard data components TFX ML Metadata data model Continuous Training with multiple SDKs, KubeFlow & AI Platform Pipelines Continuous Training Pipelines using Cloud Composer : Data...
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
Approx. 7 hours to complete
The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. The course covers terminology and concepts, tools and methods, use cases and success stories of data science applications. The course explains what is Data Science and why it is so hyped....
Advanced Data Science Capstone
by Romeo Kienzler- 4.6
Approx. 9 hours to complete
Lightweight IBM Cloud Garage Method for Data Science Data Sources and Use Cases Initial Data Exploration Data Cleansing Week 3 - Model Definition and Training Model Training Data Product (optional)...
Data Visualization Capstone
by Collin Paschall- 4.9
Approx. 22 hours to complete
One of the critical tools for data visualization today is the R statistical programming language. The focus on this course will applying those skills to a unique project, drawing on publicly available data to tell a compelling story using the data visualization toolkit assembled in the previous courses. Data Import Data Viz Pointers...
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Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
Approx. 7 hours to complete
Have you ever had the perfect data science experience? This is a focused course designed to rapidly get you up to speed on doing data science in real life. 1, Describe the “perfect” data science experience The course will be taught at a conceptual level for active managers of data scientists and statisticians....
Art and Science of Machine Learning
by Google Cloud Training- 4.6
Approx. 19 hours to complete
Welcome to the Art and Science of machine learning. This course is delivered in 6 modules. The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. Lab Intro: Export data from BigQuery to Google Cloud Storage...
Data Science Methodology
by Alex Aklson , Polong Lin- 4.6
Approx. 8 hours to complete
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. - The major steps involved in tackling a data science problem. Data Requirements...