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Filtering and Sorting Data in Looker

Filtering and Sorting Data in Looker

This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to filter and sort data, and create looks with Looker.

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  • 1 hour
  • English
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CUDA at Scale for the Enterprise

CUDA at Scale for the Enterprise

This course will aid in students in learning in concepts that scale the use of GPUs and the CPUs that manage their use beyond the most common consumer-grade GPU installations. They will learn how to manage asynchronous workflows, sending and receiving events to encapsulate data transfers and control signals.

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  • English
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Finding, Sorting, & Filtering Data in Microsoft Excel

Finding, Sorting, & Filtering Data in Microsoft Excel

In this project you will learn to use the searching, sorting, and filtering features of Microsoft Excel. Using the free version of Office 365’s Excel for the web, you will manipulate spreadsheet data to make it more useful for effective business decision-making. Using a filter, you’ll isolate just the data needed. You can then sort it into a logical sequence that can turn data into the information needed for effective decision making.

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  • 3 hours
  • English
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Using Efficient Sorting Algorithms in Java to Arrange Tax Data

Using Efficient Sorting Algorithms in Java to Arrange Tax Data

By the end of this project, you will learn how to create an application that sorts Missouri Tax Data into ascending order using a variety of critical sorting algorithms.

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  • 3 hours
  • English
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Excel for Beginners: Sorting, Filtering, Data-Validation

Excel for Beginners: Sorting, Filtering, Data-Validation

This 1-hour, project-based course is an introduction to spreadsheets. We’ll be using Excel on the Web in this project, which is the free spreadsheet program offered by Microsoft.

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  • 3 hours
  • English
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Intermediate PostgreSQL

Intermediate PostgreSQL

This course covers a wide range of SQL techniques, beyond basic CRUD (Create, Read, Update, and Delete) operations in PostgreSQL. You will learn the specifics of aggregation, transactions, reading and parsing CSV files and inserting data into a database. You’ll also take a look at how PostgreSQL handles and indexes text data. Specifically, students will do assignments that alter table schemas, create stored procedures, construct advanced queries, explore sorting and grouping query data, and techniques for working with text in databases including regular expressions.

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  • 16 hours
  • English
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Approximation Algorithms

Approximation Algorithms

Many real-world algorithmic problems cannot be solved efficiently using traditional algorithmic tools, for example, because the problems are NP-hard. The goal of the Approximation Algorithms course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. These techniques apply when we don't require the optimal solution to certain problems, but an approximation that is close to the optimal solution. We will see how to efficiently find such approximations.

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  • 15 hours
  • English
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Introduction to Data Analysis using Microsoft Excel

Introduction to Data Analysis using Microsoft Excel

In this project, you will learn the foundation of data analysis with Microsoft Excel using sales data from a sample company. You will learn how to use sorting and filtering tools to reorganize your data and access specific information about your data. You will also learn about the use of functions like IF and VLOOKUP functions to create new data and relate data from different tables. Finally, you will learn how to create PivotTables to summarize and look at comparisons within your data.

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  • 2 hours
  • English
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Sort students marks using bubble and insertion algorithms

Sort students marks using bubble and insertion algorithms

The learner will create two sorting algorithms in Java programming language.

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  • 2 hours
  • English
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Algorithms, Part I

Algorithms, Part I

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free.

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  • 54 hours
  • English
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Find the Best in your Budget with Upwork

Find the Best in your Budget with Upwork

Sorting through a website like Upwork can be a fairly daunting task if you aren’t familiar with what to look for. This project will not only walk through the process of creating an Upwork account, but also includes a walkthrough of the process of connecting with a freelancer through their service to fulfill your needs!

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  • 2 hours
  • English
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Get started with Asana

Get started with Asana

In this guided project we will get started with Asana project management software by creating a free trial account online, project, task and subtasks. We will create sections to group tasks and manage execution with team members, comments, files and dependencies. change the views and manage your work with tracking, sorting and filtering. We will achieve a comprehensive overview of project management and Asana with the most important concepts needed to start running your projects.

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  • 3 hours
  • English
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Spreadsheets for Beginners using Google Sheets

Spreadsheets for Beginners using Google Sheets

This 2-hour long project-based course is an introduction to spreadsheets. We’ll be using Google Sheets in this project, which is the free spreadsheet program offered by Google. With that said, most of the concepts that you will learn in this project will be applicable to other spreadsheet programs, such as Microsoft Excel.

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  • 3 hours
  • English
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Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms

Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms

Learn more complex tree data structures, AVL and (2-4) trees. Investigate the balancing techniques found in both tree types. Implement these techniques in AVL operations. Explore sorting algorithms with simple iterative sorts, followed by Divide and Conquer algorithms. Use the course visualizations to understand the performance.

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  • English
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I/O-efficient algorithms

I/O-efficient algorithms

I/O-efficient algorithms, also known as external memory algorithms or cache-oblivious algorithms, are a class of algorithms designed to efficiently process data that is too large to fit entirely in the main memory (RAM) of a computer. These algorithms are particularly useful when dealing with massive datasets, such as those found in large-scale data processing, database management, and file systems. Operations on data become more expensive when the data item is located higher in the memory hierarchy.

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  • 10 hours
  • English
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Data Structures and Algorithms

Data Structures and Algorithms

This course explores data structures and algorithms for back-end development, focusing on performance and scalability.

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  • English
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Sort Arrays with JavaScript Methods

Sort Arrays with JavaScript Methods

By the end of this project, you will have gained practical experience in sorting the elements in an array using a JavaScript method.

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  • 3 hours
  • English
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Data Science Foundations: Data Structures and Algorithms

Data Science Foundations: Data Structures and Algorithms

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, searching, and indexing. …

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  • English
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Data Analysis and Visualization Foundations

Data Analysis and Visualization Foundations

Deriving insights from data and communicating findings has become an increasingly important part of virtually every profession. This Specialization prepares you for this data-driven transformation by teaching you the core principles of data analysis and visualization and by giving you the tools and hands-on practice to communicate the results of your data discoveries effectively. You will be introduced to the modern data ecosystem. You will learn the skills required to successfully start data analysis tasks by becoming familiar with spreadsheets like Excel.

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  • English
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Sort and Filter Data in SQL using MySQL Workbench

Sort and Filter Data in SQL using MySQL Workbench

In this project you will use MySQL Workbench to write SQL queries that retrieve, sort, and filter data from tables in a relational database. Adding filtering to a query ensures that only the data needed is displayed in the query result. Sorting is applied to arrange the rows in that query result into an order that is meaningful to the data’s user. Adding code to an SQL query to filter and sort data generates a query result that makes data analysis easier for users, enabling more effective decision-making. Note: This course works best for learners who are based in the North America region.

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  • 3 hours
  • English
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Algorithms, Part II

Algorithms, Part II

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free.

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  • 63 hours
  • English
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Basic Statistics in Python (Correlations and T-tests)

Basic Statistics in Python (Correlations and T-tests)

By the end of this project, you will learn how to use Python for basic statistics (including t-tests and correlations). We will learn all the important steps of analysis, including loading, sorting and cleaning data. In this course, we will use exploratory data analysis to understand our data and plot boxplots to visualize the data. Boxplots also allow us to investigate any outliers in our datasets. We will then learn how to examine relationships between the different data using correlations and scatter plots. Finally, we will compare data using t-tests.

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  • 3 hours
  • English
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Excel Basics for Data Analysis

Excel Basics for Data Analysis

Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data. This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain.

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  • 12 hours
  • English
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Assess for Success: Marketing Analytics and Measurement

Assess for Success: Marketing Analytics and Measurement

Assess for Success: Marketing Analytics and Measurement is the fifth of seven courses in the Google Digital Marketing & E-commerce Certificate. This course explores marketing analytics practices and tools. Digital marketing and e-commerce professionals are expected to analyze data from various sources (such as web pages, digital marketing channels, and e-commerce sites) and use them to gain customer insights. You’ll create media plans and set performance goals.

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  • 26 hours
  • English
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Introduction to Meteor.js Development

Introduction to Meteor.js Development

In this course, you will learn how to create a complete, multi-user web site using the Meteor.js framework and MongoDB. You will implement user authentication, security features, reactive templates and routing using iron router. You will carry out key database operations such as inserting, removing and updating data as well as sorting and filtering. You will see how a complete application can be built, line by line. At the end of the course, you will be able to: 1. Install the Meteor.js system and create a web application 2. Work with the Meteor.js packaging system 3.

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  • 26 hours
  • English
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