Hypothesis Testing with Python

Colleagues, the Hypothesis Testing with Python program enables you to plan, implement, and interpret a hypothesis test in Python. Hypothesis testing is used to address questions about a population based on a subset from that population. For example, A/B testing is a framework for learning about consumer behavior based on a small sample of consumers. This course assumes some preexisting knowledge of Python, including the NumPy and pandas libraries. Acquire high-demand, marketable skills in 1) Introduction to Hypothesis Testing - Find out what you’ll learn in this course and why it’s important, 2) Hypothesis testing: Testing a Sample Statistic - Learn about hypothesis testing and implement binomial and one-sample t-tests in Python, 3) Hypothesis Testing: Testing an Association - Learn about hypothesis tests that can be used to evaluate whether there is an association between two variables, 4) Experimental Design - Learn to design an experiment to make a decision using a hypothesis test, and 5) Hypothesis Testing Projects - Practice your hypothesis testing skills with some additional projects.

Enroll today (eams & execs welcome):https://fxo.co/CZIg 

Much career success, Lawrence E. Wilson - Online Learning Central

Learn Git (Training)

Dev colleagues, the Learn Git program equips you to something that developers use to save all relevant versions of their work to avoid moments like those. Git also makes it easy for developers to collaborate and share work with others. Git, simply put, is a tool to save versions of your code. This course will teach you a basic workflow and Git’s core features, different ways to undo changes or save multiple versions of a project, and how to collaborate with other developers. Gain hands-on skills including:  1) Basics of Workflow - Hello Git, Git Nit, Git Workflow, Git Status, Git Add, Git Diff, Git Log, Git Commit, and Git Generalizations; and 2) How to Backtrack - Backtracking ?Introduction, Head Commit, Git Checkout,  Get Reset I & II, Git Reset Review and Generalizations. 

Sign-up today (teams & execs welcome): https://fxo.co/CcrC 

Much career success, Lawrence E. Wilson - Online Learning Central

Learn Linear Regression in R

Dev colleagues, the Learn Linear Regression in R equips you to o implement linear regression using the R programming language. Linear regression models are used in machine learning, so this course serves as an introduction to the topic as well. R is used by professionals in the Data Analysis and Data Science fields as part of their daily work. Take-Away Skills - learn how to make linear regression models using R.  Skill-based training modules include: 1) Introduction to Linear Regression in R - Linear Regression is the workhorse of applied Data Science; it has long been the most commonly used method by scientists and can be applied to a wide variety of datasets and questions, 2) Assumptions of Simple Linear Regression - While the linear regression is perhaps the most widely applied method in Data Science, it relies on a strict set of assumptions about the relationship between predictor and outcome variables, 3) Assumptions of Linear Regression (Outliers - Our next step is to check for outlier data points. Linear regression models also assume that there are no extreme values in the data set that are not representative of the actual relationship, 4) Building a Simple Linear Model - Simple linear regression is not a misnomer–– it is an uncomplicated technique for predicting a continuous outcome variable, Y, on the basis of just one predictor variable, X, 5) Quantifying Model Fit - Once we have an understanding of the kind of relationship our model describes, we want to understand the extent to which this modeled relationship actually fits the data., 6) Checking Model Residuals, 7) Visualizing Model Fit - it is alway a best practice to produce visual summaries to assess our model., 7) Reading Model Results - We’ve done our due diligence and confirmed that our data fulfills the assumptions of simple linear regression models, 8) Assessing Simple Linear Regression - Let’s practice our model interpretation skills! We know that for continuous independent variables, like podcasts, the regression coefficient, 9) Making Predictions - Data Scientists are often interested in building models to make predictions on new data. While the add_predictions() function from the modelr package, 10) Multiple Linear Regression - the results of simple linear regression models and show how the results convey a substantial amount of information about the relationship between two variables, 11) Assessing Multiple Linear Regression.

Sign-up today (teams & execs welcome): https://fxo.co/Ccqr 

Much career success, Lawrence E. Wilson - Online Learning Central

Full Stack Software Developer (Training)

Dev colleagues, the Full Stack Software Developer program teaches you how to create and maintain full-service websites. You will learn all the significant aspects of front-end, back-end, and full-stack development through several milestone exercises and a hands-on project. Throughout the course, you will build a website that hosts learning games. By course completion, your website will allow users to log in, play games, track their progress, see leaderboards, and manage their accounts. It includes 650 course-training hours. Learn to Build a fully functioning database-driven website from the ground up, Use modern JavaScript libraries to make single-page web applications and Build a secure user authentication system and to manage user data. High-demand, skill-based training modules include: 1) Things Every Developer Should Know, 2) Introduction to JavaScript, 3) Advanced JavaScript Concepts, 4) Creating, Styling, and Validating Web Forms, 5) Vue.js, 6) Bootstrap Training, 7) PostgreSQL, 8) Python - Introduction and Advanced, 9) Django for Python Developers, 10) Introduction to WordPress Training, and 11) Capstone Project. 

Sign-up today (teams & execs welcome): https://tinyurl.com/2vz47n38 

Much career success, Lawrence E. Wilson - Online Learning Central

FinOps Certified Practitioner (FOCP) - Linux Foundation

OSS colleagues, the  FinOps Certified Practitioner - FOCP (aka “Cloud Financial Operations”) certification program from the Linux Foundation  is the practice of bringing financial accountability to the variable spend model of cloud, enabling distributed teams to make business trade-offs between speed, cost, and quality. The certification covers FinOps fundamentals and an overview of key concepts in each of the three sections of the FinOps lifecycle: Inform, Optimize and Operate. Skill-based training is mapped to the cert exam objectives: 1) Challenge of Cloud (8%) - Understand the challenges of working with Cloud, Recognize the differences between Cloud and Traditional IT, 2) What is FinOps & FinOps Principles (12%) - Define FinOps, Understand each of the FinOps Principles, 3) FinOps Teams & Motivation (12%) - Describe the skills, roles and responsibilities of a FinOps Team, Describe where a FinOps team would be situated, Understand what drives a FinOps team’s size, position and makeup, 3) FinOps Capabilities (28%) - Understand the six pillars of FinOps Capabilities, Describe the activities associated with each capability, 4) FinOps Lifecycle (30%) - Describe the FinOps lifecycle, its phases and purpose, Understand the basic processes that FinOps teams enact in the FinOps Lifecycle, and 5) Terminology & the Cloud Bill (10%) - Understand basic cloud, FinOps, DevOps & Finance terminology and Describe the characteristics of the Cloud Bills. Exam Details & Resources: This is an online non-proctored exam that can take up to 60 minutes to complete. It includes 50 multiple choice questions, some with multiple selections as indicated in the question text.

Register today (teams & execs welcome): https://tinyurl.com/dt6x2rpy 

Much career success, Lawrence E. Wilson -  Online Learning Central

Deploying and Managing Linux on Azure

OSS Cloud colleagues, the Deploying and Managing Linux on Azure program will open up new career and income opportunities for you while equipping you with high-demand, marketable skills. The program offers over 11 hours of video instruction that will help you learn everything you need to know to deploy Linux in Microsoft Azure cloud. Deploying Linux on Azure LiveLessons is a unique video product that teaches you everything you need to know to get up and running with Linux if you are a Microsoft Professional who needs to deploy, manage, and monitor Linux in an Azure environment. This comprehensive video course starts with the essentials, and then quickly moves forward from there, focusing on tasks that are specific for managing Linux workloads in an Azure environment. Content includes managing containers, monitoring Linux, working with configuration management tools, and working with Azure-specific services for managing Linux. Training modules address: 1) Linux and Azure Fundamentals,  2) Advanced Linux Administration, 3) Using Containers, 4) Deploying Linux in Azure Cloud, 5)  Configuration Management Solutions, 6) Puppet, 7)  Ansible, 8)  Chef, 9) Salt, 10) Linux in Azure Troubleshooting, 11) Nagios, and 12)  Zabbix for device monitoring. 

Register today (teams & execs welcome): https://tinyurl.com/28xcnrex 

Much career success, Lawrence E. Wilson -  Online Learning Central

AngularJS 1.X (Training)

Dev colleagues, the AngularJS 1.X training program equips you to use new frameworks on a regular basis. AngularJS is a full-featured framework that is incredibly popular among developers. For single-page applications, the AngularJS framework creates rich interactive features for a real-time experience. It’s friendly to developers and has a supportive and active community. Products built with AngularJS include YouTube Video Manager, The Weather Channel site, several Google products, and Tinder. Apply your understanding of HTML and JavaScript to learn how to build single-page web applications with this popular JavaScript framework. You’ll be introduced to the Model-View-Controller (MVC) programming pattern and get a chance to build your own application from scratch by the end of this course. High-demand, skill-based training modules include: 1) Your First App - Get up and running quickly by building an AngularJS app from scratch., 2) Directives - Learn how to use directives to make standalone UI components, 3) Services -  Use services to communicate with a server, 3) Routing - Add routes to build powerful single-page applications, 4) Putting It All Together - Take what you learned in this course and put it all together with these projects.

Sign-up today (teams & execs welcome): https://fxo.co/CaLW 

Much career success, Lawrence E. Wilson - Online Learning Central

Oracle SQL and PL/SQL + Python Developer (Training)

Dev colleagues, the Oracle SQL and PL/SQL + Python Developer program will teach you the ins and outs of Oracle SQL and programming in Python. You will start coding quickly while learning from readings, presentations, exercises, and a final project. By course completion, you will have the skills you need to enter the job market as an entry-level Oracle programmer or Python programmer with some 275 course hours of instruction. Learn to build applications or generate business reports using Structured Query Language (SQL), master SQL using an Oracle database, use PL/SQL extension language to write sophisticated queries against an Oracle database, understand how Python works and what it's good for and grasp Python's place in the world of programming languages. High-demand skill-based training modules equip you in: 1) Oracle SQL - Relational Database Basics, Creating Tables, Basic Selects, Oracle SQL Functions, Aggregate Functions, Joins, Subqueries, Set Operators, Conditional Processing with CASE, Data Manipulation Language, Creating Views; 2) Oracle PL/SQL - PL/SQL Basics, Subprograms, Conditional Processing, Cursors, Packages, Triggers; 3) Introduction to Python - Python Basics, Functions and Modules, Math, Python Strings, Iterables: Sequences, Dictionaries, and Sets, Virtual Environments, Packages, and pip, Flow Control, Exception Handling, Python Dates and Times, File Processing, PEP8 and Pylint; 4) Advanced Python - Advanced Python Concepts, Regular Expressions, Working with Data, Testing and Debugging, Classes and Objects; and 5) Python Data Analysis with NumPy and pandas - JupyterLab, NumPy and pandas.

Sign-up today (teams & execs welcome): https://tinyurl.com/275nauad 

Much career success, Lawrence E. Wilson - Online Learning Central

Certified Business Intelligence & Data Analyst - BIDA™ (Corporate Finance Institute)

Colleagues, the Certified Business Intelligence & Data Analyst  (BIDA™) program from the Corporate Finance Institute will help advance your career by equipping you to analyze data like a pro using all the most popular business intelligence tools,s ave hours of time by automating data transformation, combine data to create world-class visuals and dashboards and predict events using complex datasets. This online certification program includes 17 courses, offers 2 year access, 2 comprehensive case studies. Skill-based training modules include: 1) Data Transformation & Automation -  transform data from multiple sources, reducing manual errors and  saving valuable time, automate transformations to enable report refreshes at the click of a button, and use SQL and Power Query to perform efficient data transformation, 2) Data Visualization - create stunning visuals that communicate key messages,  choose the right visual for the right type of data and combine visuals to tell a story, allowing users to drill down into issues or trends using interactive dashboards. 3) Data Modeling - supercharge your analysis using a data model, structure your data for efficient analysis,  measure and metrics that help quantify the most important trends, 4) Coding - extract data from a database using SQL, the most widely used Business Intelligence query language, learn the fundamentals of Python, and use it in various applications from machine learning to Monte Carlo simulation, automate tasks and calculations in Excel using VBA, as well as how to read more advanced code in existing models, 5) Predictive Analysis - learn common machine learning methods for making predictions, model uncertainty using monte carlo simulation, interpret and understand the results of machine learning models, and 6) Statistics - describe data using meaningful statistics, identify trends and patterns in datasets and prove or disprove a hypothesis about data.

Sign-up today (teams & execs welcome): https://tinyurl.com/578bj9fd 

Much career success, Lawrence E. Wilson - Financial Certification Academy

CompTIA Linux+ LX0-103 and LPIC-1 (Exam 101) Linux Professional Institute Certification

Colleagues, the CompTIA Linux+ certification can open up new career and income opportunities. This LPIC-1 (Exam 101) Linux Professional Institute Certification program is a unique video product that provides a solid understanding of all topics that candidates need to master to pass the LPIC-1 (Exam 101) Certification. It offers 14 lessons that cover all topics as mentioned in the LPI objectives as published on www.lpi.org. This course doesn't just offer a preparation for the LPIC-1 101 exam, it can also serve as an introduction for people that want to learn basic Linux administration skills. The videos provide thorough coverage of CLI skills that work on multiple distributions and prepares anyone who wants to acquire more in-depth knowledge of common Linux administration tasks.The course can be used to study for the newest LPIC-1 (Exam 101) certification exam, as well as for the CompTIA Linux+ and SUSE CLA exams. Training modules mapped to the cert exam include: 1) Performing Basic Tasks from a Shell Environment, 2) Processing and Working with Text Files, 3) Performing Basic File Management Tasks, 4) Managing Processes, 5) Design Hard Disk Layout, 6) Creating Partitions and Filesystems, 7) Common File System Management Tasks, 8) Managing Permissions, 9) Managing Software, 10) System Architecture, 11) Boot the System, 12) Managing the Boot Sequence, 13) Install a Boot Manager, and 14) Managing Shared Libraries.

Enroll today (individuals & teams welcome): https://tinyurl.com/97265dn3 

Much career success, Lawrence E. Wilson -  Online Learning Central

Python Scripting Certification (Training)

Dev colleagues, this Python Scripting Certification training program equips programmers to build applications easily and rapidly. This course is an introduction to Python scripting, which focuses on the concepts of Python. It will help you to perform operations on variable types. You will learn the importance of Python in real time environment and will be able to develop applications based on the Object-Oriented Programming concept. Skill-based training modules cover: 1) Introduction to Python - Companies using Python, Other applications in which Python is used, Python Scripts on UNIX/Windows, Variables, Operands and Expressions, Conditional Statements, Loops, Command Line Arguments, Writing to the screen; 2) Sequences and File Operations - Python files I/O Functions, Lists and related operations, Tuples and related operations, Strings and related operations, Sets and related operations, Dictionaries and related operations; 4) Deep Dive – Functions, OOPs, Modules, Errors and Exceptions - Functions, Function Parameters, Global variables, Variable scope and Returning Values, Lambda Functions, Object Oriented Concepts, Standard Libraries, Modules Used in Python (OS, Sys, Date and Time etc.), Import statements, Module search path, Package installation ways, Errors and Exception Handling, Handling multiple exceptions; 5) Introduction to NumPy & Pandas -  NumPy,  arrays, Operations on arrays, Indexing slicing and iterating, Reading and writing arrays on files, Pandas - data structures & index operations; 6)  Reading and Writing Data - Data visualization, matplotlib library, Grids, axes, plots, Markers, colours, fonts and styling, Types of plots - bar graphs, pie charts, histograms, and Contour plots.

Sign-up today (teams & execs welcome): https://fxo.co/BMaW 

Much career success, Lawrence E. Wilson - Online Learning Central

Cloud Foundry for Developers - Training & Certification (Linux Foundation - LFD232)

Colleagues, the Cloud Foundry Certified Developer (CFCD) program from the Linux Foundation [LFD232] is a professional cloud native developer certification. It’is the best way for developers to demonstrate cloud skills and expertise, and helps developers set themselves apart in a competitive job market. Earn your Cloud Foundry Developer Certification. This program teaches you how to use Cloud Foundry to build, deploy and manage a cloud-native microservices solution. Topics covered directly align with the knowledge domains tested by the Cloud Foundry Certified Developer exam and will substantially increase students’ ability to become certified. Skill-based training modules that will equip you to pass the cert exam include: 1)  Course Introduction, 2) CF Motivators, 3) Basic Definitions, 4) Technical Overview, 5) Core Themes, 6)  Logging and Metrics, 7) Resiliency, 8) Services, 9) Twelve-Factor Applications, 10) Log Drain Review, 11) Manipulating Routes, 12) App Execution and Security Groups, 13) Staging and Running, 14) Microservices, 15) Route Services, 16) Docker, 17) TCP Routing, 18) UAA and OAuth2, 19) Cascading Failure, 20) Distributed Tracing, 21) Application Lifecycle, and 22) Non-Breaking Changes. Lab exercises for this course will be conducted on your own Cloud Foundry instance. 

Enroll today (individuals & teams welcome): https://tinyurl.com/n6ht6pwd 

Much career success, Lawrence E. Wilson -  Online Learning Central

Data-Driven Decision Making - Training (PWC)

Colleagues, the Data-Driven Decision Making training from PWC will equip you to use “Big Data” and how it is used. Join over 145k professionals enrolled and be introduced to a framework for conducting Data Analysis and what tools and techniques are commonly used. Finally, you'll have a chance to put your knowledge to work in a simulated business setting. Build high-demand skills in Data-Informed Decision-Making, Big Data, Data Analysis and Data Visualization (DataViz). Training modules include: 1) Introduction to Data Analytics - the basics of data analytics and how businesses use it to solve problems. You'll learn the value data analytics brings to business decision-making processes. We’ll introduce you to a framework for data analysis and tools used in data analytics. Finally, we’re going to talk about careers and roles in data analytics and data science. Note: Video transcripts are auto generated and may contain spelling and punctuation errors, 2) Technology and types of data - learn about different types of data. We’ll also introduce you to PwC's perspective on big data and explain the impact of big data on businesses. Finally we will name some of the different types of tools and technologies used to gather data, 3) Data Analysis Techniques and Tools - how to use tools for data analytics and some of the key technologies for data analysis. We will talk about how visualization is important to the practice of data analytics. identify a variety of tools and languages used and consider when those tools are best used, 4) Data-driven decision making project - practice what you have learned. You will participate in a simulated business situation in which you will select the best course of action. You will then prepare a final deliverable which will be evaluated by your peers. Additionally, you will have the opportunity to provide feedback on your peer's submissions.

Sign-up today (teams & execs welcome): https://tinyurl.com/xw7pdnrt 

Much career success, Lawrence E. Wilson - Online Learning Central

Certified Kubernetes Administrator - CKA (Linux Foundation)

OSS colleagues, the Certified Kubernetes Administrator (CKA) program from the Linux Foundation provides assurance that CKAs have the skills, knowledge, and competency to perform the responsibilities of Kubernetes administrators. This certification is for Kubernetes administrators, cloud administrators and other IT professionals who manage Kubernetes instances. CKA was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF) as a part of their ongoing effort to help develop the Kubernetes ecosystem. The exam is an online, proctored, performance-based test that requires solving multiple tasks from a command line running Kubernetes. A certified K8s administrator has demonstrated the ability to do basic installation as well as configuring and managing production-grade Kubernetes clusters. They will have an understanding of key concepts such as Kubernetes networking, storage, security, maintenance, logging and monitoring, application lifecycle, troubleshooting, API object primitives and the ability to establish basic use-cases for end users. Domains and Competencies include: 1) Storage (10%), 2) Troubleshooting (30%), 3) Workloads & Scheduling (15%), 4) Cluster Architecture, Installation & Configuration (25%), and 5)  Services & Networking (20%). The exam is an online, proctored, performance-based test that requires solving multiple tasks from a command line running Kubernetes. Candidates have 2 hours to complete the tasks. The CKA exam environment will be aligned with the most recent K8s minor version within approximately 4 to 8 weeks of the K8s release date.

Enroll today (individuals & teams welcome): https://tinyurl.com/2d4kvfyt 

Much career success, Lawrence E. Wilson - Online Learning Central 

Full-Stack React (Training)

Colleagues, this Full-Stack React training equips you to buildFull-Stack Apps with MongoDB, Express, React, and Node.js. It covers the fundamentals of full-stack development with the MERN (MongoDB, Express, React, and Node.js) stack (13 hours of instruction).. Developers need to make sure both front- and backend communicate well together. Toward that end, this video teaches you how everything works, what the key responsibilities of each component are, and how they flow together. Shaun addresses the key points for developers, with specific examples to demonstrate concepts. Learn to use MongoDB, Express, React, and Node.js (MERN) to create full-stack apps. MERN is currently the most popular stack for building full-stack web applications. It allows developers to quickly write entire applications, frontend, backend, and database using only JavaScript. Learn to build full-stack applications using React, Node.js, Express, and MongoDB, use network requests and REST APIs to communicate between the front- and backend, divide application logic between the front- and backend, structure full-stack applications for maximum readability and ease of maintenance, implement an authentication flow that allows users to log in and save data, and integrate powerful third-party APIs into your full-stack applications. Skill-based training modules include: 1) Meet the MERN Stack; 2) Build a Full-Stack Meal-Tracker Application; 3) Build a Members-Only Website; 4) Build an Image-Sharing Application; 5)  Build a Stock-Trading Application; and 6) Build a Real-Time Chat Application. 

Sign-up today (teams & execs welcome): https://tinyurl.com/2tjpx9zu  

Much career success, Lawrence E. Wilson - Online Learning Central

Essentials of Linux System Administration (LFS201)

OSS colleagues, the Essentials of Linux System Administration (LFS201) offered by the Linux Foundation will equip you to administer the #1 operating system for web servers, cloud computing, smart phones and consumer electronics. Due to its high adoption rates and continued growth, there’s a shortage of Linux system administrators. This course will teach you the skills and processes you need to work as a professional Linux systems administrator. Learn how to administer, configure and upgrade Linux systems running one of the three major Linux distribution families (Red Hat, SUSE, Debian/Ubuntu). Skill-based training modules include: 1) Linux Filesystem Tree Layout, 2) Processes, 3) Signals, 4) Package Management Systems, 5) RPM, 6) DPKG, 7) yum, 8) zypper, 9) APT, 10) System Monitoring, 11) Process Monitoring, 12) Memory: Monitoring Usage and Tuning, 13) I/O Monitoring and Tuning, 14) I/O Scheduling, 15)  Linux Filesystems and the VFS, 16) Disk Partitioning, 16) Filesystem Features: Attributes, Creating, Checking, Mounting, 17) Filesystem Features: Swap, Quotas, Usage, 18) Th ext2/ext3/ext4 Filesystems, 19) The XFS and btrfs Filesystems, 20) Encrypting Disks, 21) Logical Volume Management (LVM), 22) RAID, 23) Kernel Services and Configuration, 24) Kernel Modules, 25) Devices and udev, 26) Virtualization Overview, 27) Virtualization Overview, 28) Containers Overview, 29) User Account Management, 30) Group Management, 31) File Permissions and Ownership, 32)  Pluggable Authentication Modules (PAM), 33) Network Addresses, 34) Network Devices and Configuration, 35) Firewalls, 36) System Startup and Shutdown, 37) GRUB, 38) System Init: systemd, SystemV and Upstart, 39) Backup and Recovery MethodsLinux Security Modules, 40) Local System Security, 41) Basic Troubleshooting, and 42) System Rescue.

Enroll today (individuals & teams welcome): https://tinyurl.com/2kjpxyz3 

Much career success, Lawrence E. Wilson -  Online Learning Central