2021 Programming courses in Saltash delivered On Demand

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

This course focuses on building the application and static website with the help of Next.js. Next.js is written on JavaScript, therefore, the individual will learn to develop the full-stack application CRUD, pagination, authentication, and more.

Start your journey with the Linux command line with zero knowledge. This course will start from scratch with instructions to install a Linux OS on a virtual machine and advance to higher-level concepts with no prior knowledge required.

With this course, you will be a professional Linux administrator and be able to apply for Linux jobs. You will be able to prepare yourself for the EX-200 exam and become a Redhat Certified System Administrator (RHCSA - EX200).

VueJS has rapidly gained popularity as one of the most widely used JavaScript frameworks, known for its approachability. In this course, you will delve into the fundamentals of VueJS, including its setup process and the underlying principles that make it work. Through practical application, you will reinforce your understanding by developing a practice project, specifically designed for this course. Prior knowledge of basic JavaScript, as well as familiarity with HTML and CSS, is recommended.

This comprehensive .NET Core course will provide a strong foundation in clean architecture, SOLID principles, and help implement the CQRS and Mediator patterns. You will also learn to build and consume APIs in a Blazor WebAssembly application. The course content is fully compatible with .NET 6 and .NET 7, ensuring you are up-to-date with the latest version.

Through this course, you will learn how to arrange Kafka a producer and consumer and Kafka Streams and Connectors accurately. You will also gain the skills needed to coordinate Kafka with existing application stages and to pass the Apache Kafka certification exam.

Course Overview Peek into the world of data science and machine learning with the comprehensive Data Science & Machine Learning With R in 2021 course. This course will provide you with a detailed understanding of both machine learning and data science. In addition, you will acquire essential skills to pursue a career in this growing industry. The Data Science & Machine Learning With R in 2021 course will teach you the core concept of data science. You will be able to recognize different data types and structures. From the modules, you will receive an introduction to the intermediate R Section. The course will show you the techniques of data manipulation in R. You will know the process of data visualization with R and learn to create reports with R markdown. The Data Science & Machine Learning With R in 2021 course will provide you with an insight into the fundamentals of machine learning. You will understand the principles of data processing, linear regression, logistic regression and more.  This highly informative Data Science & Machine Learning With R in 2021 course will equip you with the essential skills of data science. If you desire to become a professional data scientist, this course can be your stepping stone. So, enroll in the course and fast track your career. Learning Outcomes Learn the definition of data science Understand the basics of machine learning Enrich your knowledge of data types and structures Know the process of data manipulation in R Gain the ability to create reports with R markdown Become skilled in building web apps with R shiny Who is this course for? Aspiring data scientists or individuals interested in learning data science and machine learning  Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path  The Data Science & Machine Learning With R in 2021 course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Data Scientist Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Data Types and Structures in R Getting Started 00:16:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database1 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Welcome to Microsoft sql server development for everyone Course. The world of data is a vast and complex one. But with the right tools, it can be yours to explore. SQL Server is one of those tools. It's a powerful database management system that can help you store, manage, and analyse data in ways that were never before possible.   In this Microsoft SQL Server Development for Everyone! course, you'll learn the basics of SQL Server development. You'll learn how to create and manage databases, tables, and data. You'll also learn how to write SQL queries to manipulate data.   Starting with a solid Introduction to SQL, you'll grasp core concepts and gain a strong foundation. We'll then dive into Manipulating Tables and Data, equipping you with effective skills for storing, retrieving, updating, and deleting information.   But we won't stop there! Our in-depth exploration of Relationships and Foreign Keys will ensure you understand the importance of data integrity and how to establish connections between tables. You'll create robust and reliable databases with enforced referential integrity. Next, we'll empower you with the tools of Group By and Aggregate Functions, enabling efficient data analysis and summarisation. Extracting meaningful insights from vast amounts of information will become second nature to you.   To become a well-rounded SQL Server developer, we'll conclude the course with Advanced SQL Server Objects and Concepts. You'll gain a deep understanding of essential elements like stored procedures, views, triggers, and indexes. This knowledge will optimise performance and streamline your development process.   By the end of this Microsoft SQL Server Development for Everyone! course, you'll have a strong understanding of how to use SQL Server to manage and manipulate data. You'll be able to build powerful applications that make better decisions. Become a sought-after SQL Server developer and master the art of data management. Join us today and unlock your data-driven potential!   Learning Outcomes: Through this comprehensive course, you should be able to:   Understand core concepts and gain a strong foundation in SQL Server development. Acquire skills to effectively manipulate tables and data. Establish relationships and enforce data integrity using foreign keys. Utilise group by and aggregate functions for efficient data analysis. Explore advanced SQL Server objects and concepts like stored procedures and views. Gain proficiency in implementing triggers and optimising database performance. Develop the ability to create robust and reliable databases.   Who is this course for? This Microsoft SQL Server Development for Everyone! course is perfect for:   Aspiring developers looking to enhance their programming skills. Professionals seeking to expand their knowledge of SQL Server development. Individuals interested in exploring the world of databases and data management. Students or graduates pursuing a career in database administration or development. Curious learners eager to harness the power of SQL Server.   Career Path Our course will help you to pursue a range of careers, including:   Database Administrator: £25,000 - £60,000 per year. SQL Developer: £30,000 - £65,000 per year. Data Analyst: £25,000 - £55,000 per year. Business Intelligence Developer: £35,000 - £70,000 per year. Software Engineer: £30,000 - £70,000 per year. Data Engineer: £40,000 - £80,000 per year. Database Architect: £45,000 - £90,000 per year. Certification After studying the course materials of the Microsoft SQL Server Development for Everyone! there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Prerequisites This Microsoft SQL Server Development for Everyone! does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft SQL Server Development for Everyone! was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.   Course Curriculum Introduction Introduction to SQL Server and Databases 00:04:00 Download and Install SQL Server Express 00:05:00 Manipulating Tables and Data Connect to Database Instance and Create a Database 00:06:00 Drop or Remove Database 00:04:00 What is a Database Table? 00:02:00 Create an SQL Database Table 00:32:00 Insert Data into the Table with SQL Script 00:15:00 Insert Data into the Table with Management Studio 00:05:00 Select Data from the Table with SQL Script 00:09:00 More Advanced Select Queries Part 1 00:18:00 Update Data in the Table 00:10:00 Update Data in the Table with Management Studio GUI 00:02:00 Delete Data from the Table with SQL Script 00:06:00 Delete Data from the Table with Management Studio GUI 00:01:00 Relationships and Foreign Keys What are Relationships, Foreign Keys and Normalization 00:11:00 Create a Relationship in SQL Server 00:19:00 Insert Records in Related Tables 00:13:00 Run Queries on Related Tables 00:19:00 Left, Right and Full Joins 00:11:00 Group By and Aggregate Functions Grouping Data using SQL GROUP BY Clause 00:12:00 SQL AVG Aggregate Function 00:11:00 SQL COUNT Aggregate Function 00:04:00 SQL MAX and MIN Aggregate Functions 00:04:00 SQL SUM Aggregate Function 00:04:00 Advanced SQL Server Objects and Concepts Create and Manage Views 00:23:00 Scalar Valued Functions 00:27:00 Inline Table Valued Functions 00:09:00 Multi Statement Table Valued Functions 00:12:00 Stored Procedures 00:28:00 Table Triggers 00:19:00 Database Scripting, Backup and Restore 00:15:00 Assignment Assignment - Microsoft SQL Server Development for Everyone! 00:00:00

Description Register on the Linux Shell Scripting today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Linux Shell Scripting course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Course Content Unit 01: Course Introduction Introduction and Course Overview 00:02:00 Unit 02: Creating a Local Linux Shell Scripting Environment Creating a Local Lab Environment Using Vagrant and VirtualBox - Background 00:16:00 Exercise 1 Instructions - Creating a Local Linux Shell Scripting Lab Environment 00:28:00 Exercise 1 - Walkthrough - Part I - Windows Users Only 00:04:00 Exercise 1 - Walkthrough - Part I - Mac Users Only 00:02:00 Exercise 1 - Walkthrough - Part I - Linux (CentOS/RHEL) Users Only 00:03:00 Exercise 1 - Walkthrough - Part II - All Users 00:23:00 Unit 03: User and Account Creation - Shell Scripting Project 1 Section Introduction 00:03:00 Getting Started with Shell Scripting: Naming, Permissions, Variables, Builtins. 00:35:00 Special Variables, Pseudocode, Command Substitution, if Statement, Conditionals. 00:23:00 Exit Statuses, Return Codes, String Test Conditionals, More Special Variables. 00:18:00 Reading Standard Input, Creating Accounts, Username Conventions, More Quoting. 00:23:00 Exercise 2 - Instructions 00:12:00 Exercise 2 - Walkthrough 00:21:00 Unit 04: Password Generation and Shell Script Arguments - Shell Scripting Project 2 Random Data, Cryptographic Hash Functions, Text and String Manipulation. 00:31:00 Positional Parameters, Arguments, for Loops, Special Parameters 00:30:00 The while Loop, Infinite Loops, Shifting, Sleeping 00:16:00 Exercise 3 - Instructions 00:12:00 Exercise 3 - Walkthrough 00:20:00 Unit 05: Linux Programming Conventions - Shell Scripting Project 3 Advanced Standard Input, Standard Output, and Standard Error - Part I 00:13:00 Advanced Standard Input, Standard Output, and Standard Error - Part II 00:26:00 Exercise 4 - Instructions 00:05:00 Exercise 4 - Walkthrough 00:12:00 Unit 06: Parsing Command Line Options - Shell Scripting Project 4 Case Statements 00:20:00 Functions 00:33:00 Parsing Command Line Options with getopts, Part 1 00:20:00 Parsing Command Line Options with getopts, Part 2 00:18:00 Deleting and Disabling Linux Accounts, Part 1 of 4 (Finding Files) 00:11:00 Deleting and Disabling Linux Accounts, Part 2 of 4 (The userdel command) 00:05:00 Deleting and Disabling Linux Accounts, Part 3 of 4 (Archives with tar) 00:14:00 Deleting and Disabling Linux Accounts, Part 4 of 4 (Disabling Accounts) 00:08:00 Deleting Users - Exercise 5 - Instructions 00:14:00 Deleting Users - Exercise 5 - Walkthrough 00:33:00 Unit 07: Transforming Data / Data Processing / Reporting - Shell Scripting Project 5 Protected: Cut and Awk 00:22:00 Protected: Cut and Awk Demonstration Script: Open Network Ports 00:10:00 Sort and Uniq 00:18:00 Parsing Log Files - Exercise 6 - Walkthrough 00:15:00 Sed 00:29:00 Unit 08: Network Scripting & Automation of Distributed Systems: Shell Scripting Project 6 Configuring a Mini Network and Scripting for Remote Systems 00:30:00 Scripting Remote Commands - Walkthrough - Part 1 00:26:00 Scripting Remote Commands - Exercise - Instructions 00:12:00 Scripting Remote Commands - Walkthrough - Part 2 00:13:00 Unit 09: Course Summary Protected: Summary 00:08:00 Unit 10: Course Extras What Shell Scripting Is and Why You Should Learn It 00:10:00 Resources Resources - Linux Shell Scripting 00:00:00 Assignment Assignment -Linux Shell Scripting 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.