946 Courses

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Hands-on Predicitive Analytics with Python (TTPS4879) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

10 QLS Endorsed Courses for Programming | 10 Endorsed Certificates Included | Life Time Access

This course will teach you how to link ChatGPT's API directly into your applications and solutions. Learn to integrate the API into Power Apps. Build any business application you want using Power Apps, which can now incorporate ChatGPT. Extend ChatGPT to any platform, including React, Webflow, Zapier, Excel, and so on.

A course by Sekhar Metla IT Industry Expert RequirementsNo programming experience needed. You will learn everything you need to knowNo software is required in advance of the course (all software used in the course is free)No pre-knowledge is required - you will learn from basic Audience Beginner JavaScript, Python and MSSQL developers curious about data science development Anyone who wants to generate new income streams Anyone who wants to build websites Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer Audience Beginner JavaScript, Python and MSSQL developers curious about data science development Anyone who wants to generate new income streams Anyone who wants to build websites Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer

This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects.

Let's use ChatGPT to build a pairs trading bot in Python and understand pairs, algorithmic, algo-trading, and stock trading strategies. Compute z-scores, log, cumulative, and portfolio returns. Apply data science strategies to financial analysis and trading strategies for stocks, forex, cryptocurrencies, Bitcoin, Ethereum, and altcoins.

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. Additional course details: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for Network Administrators, Network Engineers, Network Operations Technicians, and students interested in learning about programming. Overview Upon completing this course, the learner will be able to meet these overall objectives:Understand and describe basic and advanced Python terminologiesIdentify and correct Python script errorsPull and reconfigure networking devices using Python scriptsIntroduction to RESTful API utilizing JSON and XML This course focuses on the interoperability of Python programming with Networking to prepare students for Software Defined Networking. This class is designed for students looking to add programming skills in preparation for various ACI & SDN technologies. Basic Constructs Describe and execute strings Describe and execute printing Describe and execute variables Describe and execute built in methods Describe and execute input from users Describe Boolean expressions Advanced Constructs Describe and execute redundant scripts Describe and execute functions Describe and execute classes Scaling Python Describe and execute Reading Files scripts Describe and execute Writing to File scripts Describe and execute substituting strings and integers Describe and execute while loops Describe and execute for loops and lists Describe and execute slicing Updating and edit a list Error checking Dictionaries and Regular Expressions Describe and execute dictionaries Delete dictionaries Describe and execute dictionaries with lists Describe and execute regular expressions (match, search, findall, sub) XML and JSON Describe XML format Describe JSON Format Example of XML Example of JSON What is an XML Schema? Describe SOAP Example of CURL with a Web Based Application Example of a SOAP exchange with a Web based Application Example of REST with a Web based Application Putting It All Together Apply Python principles with a SOAP Client Apply Python principles with REST and WSDL Apply native Python modules Additional course details: Nexus Humans Introducing Python and Web Services Programmability for Network Engineers - v3.0 IPWSP-NE training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introducing Python and Web Services Programmability for Network Engineers - v3.0 IPWSP-NE course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

This concise and comprehensive course takes you through the basic and advanced topics of Ansible, explaining all the concepts clearly and thoroughly. You will not only master the concepts but also learn how to use Ansible with cloud services and containers.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Did you know you can make around £50,000 per year as an IT specialist? Are you interested in a career in coding but unsure where to begin? Our Coding: HTML, CSS and Bootstrap bundle is created for aspiring individuals like you to build a successful career in such a field. This extensive program equips you with the in-demand skills to become a proficient coder. We'll take you on a journey through the fundamentals of web development with HTML, CSS, and Javascript, before diving deeper into powerful programming languages like C++, Python, and R. You'll not only learn to create secure web applications but also explore the exciting world of game development and ethical hacking! This HTML, CSS, & Javascript Coding at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPD QS (with 120 CPD points) to make your skill development & career progression more accessible than ever! With a single payment, you will gain access to Coding (Computer Programming) course, including 10 premium courses, a QLS Endorsed Hardcopy certificate and 11 PDF certificates for Absolutely free. This Coding (Computer Programming) Bundle Package Includes: Course 01: Diploma in HTML, CSS, & Javascript Coding at QLS Level 4 10 Additional CPD Accredited Premium Courses - Course 02: C++ Development: The Complete Coding Guide Course 03: Python Programming: Beginner To Expert Course 04: Bash Scripting, Linux and Shell Programming Course 05: R Programming for Data Science Course 06: Secure Programming of Web Applications Course 07: JavaScript Project - Game Development with JS Course 08: Learn Ethical Hacking From A-Z: Beginner To Expert Course 09: Advanced Diploma in PHP Web Development with MySQL, GitHub & Heroku Course 10: The Complete Front-End Web Development Course! Don't miss this chance to unlock your coding potential! Enrol today and take that first step towards an exciting future in tech. Learning Outcomes of Coding (Computer Programming) Gain a strong foundation in web development technologies (HTML, CSS, JavaScript). Master high-level programming languages like C++, Python, and R. Develop skills in secure web application programming practices. Explore data science fundamentals and programming with R. Build practical projects like games and web applications. Prepare for a career in the dynamic and in-demand coding sector. Why Choose Us? Get a Free QLS Endorsed Certificate upon completion of Coding (Computer Programming) Get a free student ID card with Coding (Computer Programming) Training program (£10 postal charge will be applicable for international delivery) The Coding (Computer Programming) is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Coding (Computer Programming) course materials The Coding (Computer Programming) comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Course 01: Diploma in HTML, CSS, & Javascript Coding at QLS Level 4 Module 01: Install the Tools and Get Started Module 02: HTML 5 Module 03: CSS 3 Module 04: Bootstrap Module 05: Project 1 - Design a Landing Page Module 06: Project 2 - Business Website Module 07: Project 3 - Portfolio Course 02: C++ Development: The Complete Coding Guide Section 01: Introduction & Setting Up Section 02: Basics Section 03: Operators Section 04: String Streams Section 05: Statements & Loops Section 06: Functions Section 07: Advanced Data Types Section 08: Classes Section 09: Errors Section 10: The Mighty Preprocessor Section 11: File I/O Section 12: Extras Section 13: Resource Course 03: Python Programming: Beginner To Expert Module 01: Introduction To Python Programming From A-Z Module 02: Getting Familiar With Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input And Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting And Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction To OOP Module 15: Advanced OOP Module 16: Starting A Career In Python =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your QLS Endorsed Certificates and CPD Accredited Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £109) CPD 230 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Beginners with no coding experience Career changers looking to enter tech Programmers seeking to expand their skillset Web developers wanting to enhance their coding expertise Data enthusiasts seeking data analysis skills Anyone passionate about technology Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Web Developer Data Analyst Software Developer Ethical Hacker IT Specialist Game Developer Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. Diploma in HTML, CSS, & Javascript Coding at QLS Level 4 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.