Search result for Data manipulation and transformation Online Courses & Certifications
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Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
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3 months
This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day. Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms in TensorFlow and scikit-learn....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
This program is designed to teach you foundational machine learning skills that data scientists and machine learning engineers use day-to-day. Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms in PyTorch and scikit-learn....
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
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Approx. 20 hours to complete
Week 1: Collecting, Labeling, and Validating data Week 3: Data Journey and Data Storage Week 4: Advanced Data Labeling Methods, Data Augmentation, and Preprocessing Different Data Types Data and Concept Change in Production ML Week 2: Feature Engineering, Transformation and Selection Week 3: Data Journey and Data Storage Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing...
The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
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Approx. 27 hours to complete
We cover basic R concepts and language fundamentals, key concepts like tidy data and related "tidyverse" tools, processing and manipulation of complex and large datasets, handling textual data, and basic data science tasks. Data Frames Data Manipulation Basic Data Manipulation Selecting and filtering data Spreading and gathering data Reading and Summarizing Data...
Introduction to Data Analysis Using Excel
by Sharad Borle- 4.7
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Approx. 20 hours to complete
It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. In this module, you will be introduced to the use of Excel spreadsheets and various basic data functions of Excel. Basic Data Manipulation in Excel Basic Data Manipulation in Excel...
Code Free Data Science
by Natasha Balac, Ph.D.- 4.3
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Approx. 14 hours to complete
• Ways to apply Data Science algorithms to real data and evaluate and interpret the results Big Data Characteristics and Applications Big Data Impact and Challanges Big Data Analytics: Applications, Prospects and Challenges Data Types and Formats in KNIME Data Manipulation and Visualization Intro to Data Manipulation in KNIME Data Manipulation, preparation and cclassification and clustering methods...
Functional Programming in Scala Capstone
by Julien Richard-Foy- 4.4
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Approx. 27 hours to complete
— transforming data provided by weather stations into meaningful information like, for instance, the average temperature of each point of the globe over the last ten years ; — then, making images from this information by using spatial and linear interpolation techniques ; Data extraction Raw data display Raw data visualization Data manipulation Data manipulation...
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Information Visualization: Foundations
by Enrico Bertini , Cristian Felix- 4.5
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Approx. 12 hours to complete
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on information visualization and to design and develop advanced applications for visual data analysis. Key Concept: Computer Based Graphical Representations and Visualizing Abstract Data Fundamental Graphs and Data Transformation Overview: Fundamental Graphs and Data Transformation...
Innovating with Data and Google Cloud
by Google Cloud Training- 4.9
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Approx. 2 hours to complete
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. The role of data in digital transformation Module 2: Data Consolidation and Analytics Describe the role of data in digital transformation and the importance of a data-driven culture....
Python Data Representations
by Scott Rixner , Joe Warren- 4.7
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Approx. 9 hours to complete
We'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs. We will also teach you how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs....
