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Hands-on Introduction to Linux Commands and Shell Scripting

Hands-on Introduction to Linux Commands and Shell Scripting

This course provides a practical understanding of common Linux / UNIX shell commands. In this beginner friendly course, you will learn about the Linux basics, Shell commands, and Bash shell scripting. You will begin this course with an introduction to Linux and explore the Linux architecture. You will interact with the Linux Terminal, execute commands, navigate directories, edit files, as well as install and update software. Next, you’ll become familiar with commonly used Linux commands.

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  • 27 hours
  • English
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Natural Language Processing in TensorFlow

Natural Language Processing in TensorFlow

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 3 of the DeepLearning.AI TensorFlow Developer Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network.

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  • 24 hours
  • English
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Improving your statistical inferences

Improving your statistical inferences

This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power.

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  • 28 hours
  • English
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Foundations of Cybersecurity

Foundations of Cybersecurity

This is the first course in the Google Cybersecurity Certificate. These courses will equip you with the skills you need to prepare for an entry-level cybersecurity job. In this course, you will be introduced to the world of cybersecurity through an interactive curriculum developed by Google. You will identify significant events that led to the development of the cybersecurity field, explain the importance of cybersecurity in today's business operations, and explore the job responsibilities and skills of an entry-level cybersecurity analyst.

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  • 15 hours
  • English
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Algorithms, Data Collection, and Starting to Code

Algorithms, Data Collection, and Starting to Code

This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you! You may have heard lots of talk about computational thinking recently, but if you ask 10 different people what it is you’ll probably get 10 different answers. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components.

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  • 15 hours
  • English
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Teaching EFL/ESL Reading: A Task Based Approach

Teaching EFL/ESL Reading: A Task Based Approach

This course explores ways of teaching reading skills in English as Second and Foreign Language (ESL/EFL) using a task-based approach. You will be introduced to the concept of task and the key principles of task-based language teaching (TBLT) and learning. TBLT uses communicative tasks as the key unit for creating language learning activities. You will also examine the role of reading in real-life and in second and foreign language teaching and current thinking about the interface between TBLT and second language reading.

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  • 23 hours
  • English
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Exploring and Preparing your Data with BigQuery

Exploring and Preparing your Data with BigQuery

In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets.

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  • 8 hours
  • English
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Crash Course on Python

Crash Course on Python

This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you will understand the benefits of programming in IT roles; understand basic Python syntax; explore different code editors and developer environments; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem.

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  • 27 hours
  • English
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Data Science in Real Life

Data Science in Real Life

Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life.

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  • 7 hours
  • English
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Six Sigma Principles

Six Sigma Principles

This course is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will introduce you to the purpose of Six Sigma and its value to an organization. You will learn about the basic principles of Six Sigma and Lean.

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  • 13 hours
  • English
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Introduction to Software Testing

Introduction to Software Testing

After completing this course, you will have an understanding of the fundamental principles and processes of software testing. You will have actively created test cases and run them using an automated testing tool.

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  • 30 hours
  • English
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AWS Cloud Technical Essentials

AWS Cloud Technical Essentials

Are you in a technical role and want to learn the fundamentals of AWS? Do you aspire to have a job or career as a cloud developer, architect, or in an operations role? If so, AWS Cloud Technical Essentials is an ideal way to start. This course was designed for those at the beginning of their cloud-learning journey - no prior knowledge of cloud computing or AWS products and services required! Throughout the course, students will build highly available, scalable, and cost effective application step-by-step.

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  • 25 hours
  • English
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Introduction to Genetics and Evolution

Introduction to Genetics and Evolution

Introduction to Genetics and Evolution is a college-level class being offered simultaneously to new students at Duke University. The course gives interested people a very basic overview of some principles behind these very fundamental areas of biology.

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  • 25 hours
  • English
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State Estimation and Localization for Self-Driving Cars

State Estimation and Localization for Self-Driving Cars

Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. This course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car.

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  • 27 hours
  • English
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Visual Perception for Self-Driving Cars

Visual Perception for Self-Driving Cars

Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks.

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  • 31 hours
  • English
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Natural Language Processing with Probabilistic Models

Natural Language Processing with Probabilistic Models

In Course 2 of the Natural Language Processing Specialization, you will: a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming, b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is vital for computational linguistics, c) Write a better auto-complete algorithm using an N-gram language model, and d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model. By the end of this Specialization, you will have designed NLP applications that perform question-answering and se

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  • 31 hours
  • English
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Building Resilient Streaming Analytics Systems on Google Cloud

Building Resilient Streaming Analytics Systems on Google Cloud

Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using Google Cloud Skills Boost.

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  • 8 hours
  • English
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Data Collection and Processing with Python

Data Collection and Processing with Python

This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs.

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  • 16 hours
  • English
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Data Engineering Career Guide and Interview Preparation

Data Engineering Career Guide and Interview Preparation

This course is designed to prepare you to enter the job market as a data engineer. It provides guidance about the regular functions and tasks of data engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing.

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  • 10 hours
  • English
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Probabilistic Deep Learning with TensorFlow 2

Probabilistic Deep Learning with TensorFlow 2

Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real world datasets.

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  • 53 hours
  • English
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Introduction to Social Media Marketing

Introduction to Social Media Marketing

This course lays the foundation of social media marketing. You’ll learn what social media marketing entails, including the history and the different social media channels that exist.

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  • 33 hours
  • English
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Creative Problem Solving

Creative Problem Solving

This course deals directly with your ability for creativity which is a critical skill in any field. It focuses on divergent thinking, the ability to develop multiple ideas and concepts to solve problems. Through a series of creativity building exercises, short lectures, and readings, learners develop both an understanding of creativity and increase their own ability. This course will help you understand the role of creativity and innovation in your own work and in other disciplines.

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  • 14 hours
  • English
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Managing Security in Google Cloud

Managing Security in Google Cloud

This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, Cloud IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls. This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course.

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  • 7 hours
  • English
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Introduction to Systems Biology

Introduction to Systems Biology

This course will introduce the student to contemporary Systems Biology focused on mammalian cells, their constituents and their functions. Biology is moving from molecular to modular. As our knowledge of our genome and gene expression deepens and we develop lists of molecules (proteins, lipids, ions) involved in cellular processes, we need to understand how these molecules interact with each other to form modules that act as discrete functional systems. These systems underlie core subcellular processes such as signal transduction, transcription, motility and electrical excitability.

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  • 19 hours
  • English
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Inspiring Leadership through Emotional Intelligence

Inspiring Leadership through Emotional Intelligence

Emotional intelligence, hope, mindfulness, and compassion help a person reverse the damage of chronic stress and build great leadership relationships. The Positive and Negative Emotional Attractors inspire sustained, desired change and learning at many levels.

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  • 19 hours
  • English
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