Search result for Free data engineering course Online Courses & Certifications
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A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 7 hours to complete
By now you have definitely heard about data science and big data. This is a focused course designed to rapidly get you up to speed on the field of data science. How statistics, machine learning, and software engineering play a role in data science A Crash Course in Data Science What is Software Engineering for Data Science?...
Modernizing Data Lakes and Data Warehouses with GCP
by Google Cloud Training- 4.7
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Approx. 9 hours to complete
This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment....
Introduction to Data Engineering
by Rav Ahuja , Priya Kapoor- 4.7
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Approx. 10 hours to complete
This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. In this course, you will learn about the data engineering lifecycle. Data Engineering is recognized as one of the fastest-growing fields today. Welcome to Introduction to Data Engineering...
Python Project for Data Engineering
by Ramesh Sannareddy , Joseph Santarcangelo- 4.6
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Approx. 5 hours to complete
Continue with the course and test your knowledge by implementing webscraping and extracting data with APIs all with the help of multiple hands-on labs. PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Demonstrate your Skills in Python - the language of choice for Data Engineering...
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
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Approx. 20 hours to complete
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Week 1: Collecting, Labeling, and Validating data Importance of Data Data and Concept Change in Production ML Detecting Data Issues TensorFlow Data Validation Data Collection Data Labeling Issues in Training Data...
Data Processing and Feature Engineering with MATLAB
by Adam Filion , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Heather Gorr , Erin Byrne , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Cris LaPierre- 4.7
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Approx. 18 hours to complete
This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. Overview of Data Processing and Feature Engineering Visualizing Multidimensional Data Summary of Module 1: Surveying Your Data Data and Code Files Summary of Data Processing and Feature Engineering...
Feature Engineering
by Google Cloud Training- 4.5
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Approx. 18 hours to complete
What about how to find which data columns make the most useful features? Introduction to Course Lab Intro: Basic Feature Engineering in BQML Lab Intro: Basic Feature Engineering in Keras Raw Data to Features and Good vs Bad Features Feature Engineering Data Pipelines that Scale Lab Intro: Computing Time-Windowed Features in Cloud Data...
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The Importance of Listening
by Randy Hlavac- 4.6
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Approx. 9 hours to complete
In this second MOOC in the Social Marketing Specialization - "The Importance of Listening" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. Big Data Using Social Data Social Data Flows from a Single Source...
Data for Machine Learning
by Anna Koop- 4.4
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Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to: This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute....
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. This is the first course in the Genomic Data Science Specialization. Memory and Data Structures Software Engineering Data Science Technology Data Sharing Plans Plotting Your Data Course Project Instructions and Reading...
