Search result for Data storage and analysis Online Courses & Certifications
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Excel Power Tools for Data Analysis
by Nicky Bull , Dr Prashan S. M. Karunaratne- 4.8
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Approx. 15 hours to complete
The previous courses: Excel Fundamentals for Data Analysis and Data Visualization in Excel, cover data preparation, cleaning, visualisation, and creating dashboards. Welcome to Excel Power Tools for Data Analysis Get and transform data from Excel Get and transform data from Excel Power Pivot and the Data Model Visualising data with Power Pivot and Cube Functions...
Getting Started with Data Analytics on AWS
by Rafael Lopes- 4.7
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Approx. 4 hours to complete
Learn how to go from raw data to meaningful insights using AWS with this one-week course. Start off with an overview of different types of data analytics techniques - descriptive, diagnostic, predictive, and prescriptive before diving deeper into the descriptive data analytics. Most Common Data Analysis Nowadays Why do Data Analytics in the Cloud?...
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
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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. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. The course covers terminology and concepts, tools and methods, use cases and success stories of data science applications. Big Data and Data Science...
Digitalization in International Relations
by Yarygin Grigory , Sytnik Anna , Tsvetkova Natalia , Stadnik Ilona- 4.5
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Approx. 16 hours to complete
Course participants will gain fundamental knowledge and practical skills regarding how to apply big data analysis, social media methods of analysis, how to build a digital information campaign strategy, how to operate by legal and technical components of global Internet governance in the practice of multilateral negotiations, and how to detect flaws and threats in the field of digital voting....
Production Machine Learning Systems
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlow The Components of an ML System: Data Analysis and Validation Ingesting data for Cloud-based analytics and ML Ingesting data for Cloud-based analytics and ML...
Introduction to the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 8 hours to complete
We will cover the simple idea of "tidy data" and how this idea serves to organize data for analysis and modeling. We will also cover how non-tidy can be transformed to tidy data, the data science project life cycle, and the ecosystem of Tidyverse R packages that can be used to execute a data science project....
Cloud Computing Basics (Cloud 101)
by Jim Sullivan- 4.5
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Approx. 9 hours to complete
Over the next few weeks, we will discuss the basics of Cloud computing: what it is, what it supports, and how it is delivered. We will delve into storage services, Cloud economics, levels of managed infrastructure, and Azure services. Scalable Compute and Storage Services Azure Services and APIs Scalable Cloud Computing and Storage Services...
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MongoDB Aggregation Framework
by Nathan Leniz , Kirby Kohlmorgen- 4.6
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Approx. 19 hours to complete
This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework. This will lay the groundwork for the remainder of the course where you'll dive deep and learn about schema design, relational data migrations, and machine learning with Aggregation Structure and Syntax Aggregation Structure and Syntax $project and Expressions...
Survival Analysis in R for Public Health
by Alex Bottle- 4.5
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Approx. 11 hours to complete
You’ll use data simulated from real, messy patient-level data for patients admitted to hospital with heart failure and learn how to explore which factors predict their subsequent mortality. Data set and glossary Describe a data set from scratch, using descriptive statistics and simple graphical methods as a necessary first step for more advanced analysis...
Ordered Data Structures
by Wade Fagen-Ulmschneider- 4.8
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Approx. 19 hours to complete
In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. 3 Run Time Analysis 4 Array and List Operations...
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