Search result for Variables and data types Online Courses & Certifications
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Managing Data Analysis
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.6
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Approx. 9 hours to complete
This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. Identify different types of questions and translate them to specific datasets...
Introduction to TensorFlow
by Google Cloud Training- 4.4
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Approx. 19 hours to complete
Components of TensorFlow: Tensors and Variables Lab Intro Introduction to Tensors and Variables Tensors and Variables Design and Build a TensorFlow Input Data Pipeline Lab Intro Load CSV and Numpy Data Optional Lab Intro Feature Analysis Using TensorFlow Data Validation and Facets Design and Build Input Data Pipeline data library to manipulate data and large datasets...
GIS Data Formats, Design and Quality
by Nick Santos- 4.9
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Approx. 28 hours to complete
In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: Week 1: Learn about data models and formats, including a full understanding of vector data and raster concepts....
Business Metrics for Data-Driven Companies
by Daniel Egger , Jana Schaich Borg- 4.6
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Approx. 8 hours to complete
In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. Roles and Companies as They Relate to Big Data...
Python for Data Science
by Saheb Singh Chaddha- 3.6
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3 hours on-demand video
PYTHON FUNDAMENTALS where we Gain the knowledge of core concepts of Python including operators, variables and Data Types and learn to store, access and manipulate data in lists. NumPy where we Make a step towards Data Science and go deep into Python by learning the basics of the NumPy array....
$12.99
Statistics with SAS
by Jordan Bakerman- 4.8
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Approx. 20 hours to complete
The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. Course Overview and Data Setup Statistical Modeling: Types of Variables Model Building and Effect Selection Interpreting p-Values and Parameter Estimates Demo: Examining the Distribution of Categorical Variables Using PROC FREQ and PROC UNIVARIATE...
Introduction to MongoDB
by Norberto Leite , Kirby Kohlmorgen , Shannon Bradshaw- 4.3
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Approx. 17 hours to complete
This course will get you up and running with MongoDB quickly, and teach you how to leverage its power for data analytics. We'll start by mastering the fundamentals of MongoDB, including MongoDB’s Document data model, importing data into a cluster, working with our CRUD API and Aggregation Framework. Data Types in MongoDB...
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Business Analytics and Digital Media
by Sudhir Voleti- 4.4
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Approx. 8 hours to complete
The explosion in digital media - web, social and now mobile - represents a departure from how things were like in the last century. This proliferation of digital media is both a threat and an opportunity for many businesses. Data Types and Psychometric Scaling Data sets and slides as reference material for Perceptual mapping...
Practical Machine Learning on H2O
by Darren Cook- 4.5
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Approx. 24 hours to complete
We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms. You will also be able to evaluate your models and choose the best model to suit not just your data but the other business restraints you may be under. Types Of Models Pojo And Mojo...
Foundations of Sports Analytics: Data, Representation, and Models in Sports
by Wenche Wang , Stefan Szymanski- 4.5
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Approx. 49 hours to complete
Learners will discover a variety of techniques that can be used to represent sports data and how to extract narratives based on these analytical techniques. Introduction to Sports Performance and Data Introduction to Data Sources Introduction to Sports Data and Plots in Python Introduction to Sports Data and Regression Using Python...
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