5909 Model courses

Reasonable Decision Making Certification Consistently, we settle on many choices. Generally, the results are unimportant. Be that as it may, a few choices have huge, long haul implications. Hence, we need to see how to use sound judgment. In this course, you will find out about the basic entanglements that you need to keep away from when deciding. You will find how to utilize a levelheaded dynamic cycle that will permit you to determine issues in both your expert life and your own life. You Will Learn: Why reasonable dynamic is a significant subject, and why people frequently act in a nonsensical way The most effective method to utilize a reasonable dynamic model to devise and execute the best answer for your necessities The limits of the sane dynamic model and their suggestions The job of moral contemplations in reasonable dynamic Advantages of Taking this Course: It will permit you to work alone or with others to settle on better choices at work, which will improve your exhibition and vocation possibilities It will give you the foundation data that you need to lead a group through a dynamic interaction; along these lines, fortifying your believability as a pioneer In the event that you have an overall interest in brain research, you will profit by this prologue to the mechanics of dynamic Seeing how individuals settle on decisions will engage you to scrutinize others' choices on the off chance that you are unsure how or why they showed up at their ultimate choice

Embark on a transformative Python web development journey with this course and dive deep into creating a dynamic book rental system from scratch. Master Django's import-export capabilities, design elegant UI with Tailwind CSS, implement advanced features, and more. Elevate your skills and build real-world applications effortlessly!

Overcoming Anxiety with NLP is a three hour online workshop with Accredited Trainer of NLP and Clinical Hypnotherapist Paul McGowran of proactivenlp.com. During the workshop Paul will take delegates through understanding how to resolve their own anxiety using NLP thinking and techniques. You can live a life without anxiety, sign up now.

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Course Introduction Introduction 00:03:00 Part 1: Forecasting Basics of Forecasting 00:05:00 Creating Linear Model with Trendlines 00:08:00 1.1 Getting Data Ready For Regression Model Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Univariate analysis and EDD 00:03:00 Discriptive Data Analytics in Excel 00:10:00 Outlier Treatment 00:04:00 Identifying and Treating Outliers in Excel 00:04:00 Missing Value Imputation 00:03:00 Identifying and Treating missing values in Excel 00:04:00 Variable Transformation in Excel 00:03:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy Variable Creation in Excel 00:07:00 Correlation Analysis 00:09:00 Creating Correlation Matrix in Excel 00:08:00 1.2 Forecasting Using Regression Model The Problem Statement 00:01:00 Basic Equations and Ordinary Least Squares (OLS) method 00:08:00 Assessing accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy: RSE and R squared 00:07:00 Creating Simple Linear Regression model 00:02:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting results of Categorical variables 00:05:00 Creating Multiple Linear Regression model 00:07:00 1.3 Handling Special Events Like Holiday Sales Forecasting in presence of special events 00:02:00 Excel: Running Linear Regression using Solver 00:08:00 Excel: Including the impact of Special Events 00:22:00 1.4 Identifying Seasonality & Trend for Forecasting Models to identify Trend & Seasonality 00:06:00 Excel: Additive model to identify Trend & Seasonality 00:09:00 Excel: Multiplicative model to identify Trend & Seasonality 00:06:00 Market Basket Analysis Market Basket and Lift - Introduction 00:08:00 Named Ranges - Excel 00:10:00 Indirect Function - Excel 00:05:00 2-way lift calculation in Excel 00:11:00 2-way lift calculation - Dynamic 00:07:00 2-way lift data table creation 00:07:00 3-way lift calculation 00:19:00 Store Layout optimization using Lift values 00:15:00 RFM (Recency, Frequency, Monetary) Analysis RFM (recency, frequency, monetary) Analysis 00:08:00 RFM Analysis in Excel- Part 1 00:16:00 RFM Analysis in Excel- Part 2 00:12:00 Part 2: Pricing Part 2: Pricing Steps of setting a Pricing policy 00:03:00 Different Pricing Objectives 00:07:00 2.1 Estimating Demand Estimating Demand 00:07:00 Forms of Demand Curve 00:02:00 Excel: Estimating Linear Demand Curve 00:08:00 Excel: Estimating Power Demand curve with Elasticity 00:05:00 Excel: Estimating Power Demand Curve with points 00:03:00 Subjective Demand curve 00:01:00 Excel: Estimating Subjective Demand Curve 00:02:00 2.3 Evaluating Pricing Strategies Price Bundling 00:07:00 Types of Bundling 00:08:00 The Bundling Problem 00:04:00 Excel: Solving Bundling problem Part 1 00:14:00 Excel: Solving Bundling problem Part 2 00:08:00 Non-Linear Pricing Strategies 00:03:00 Excel: Solving Bundling problem (Price Reversal) 00:08:00 3.1 Lifetime Customer Value Lifetime Customer Value - Key concepts 00:09:00 Lifetime Customer Value - Excel model 00:11:00 3.2 Variations And Sensitivity Analysis Sensitivity Analysis in Excel 00:07:00 Variations in finding customer value 00:07:00 Appendix 1: Excel Crash Course Basics 00:08:00 Worksheet Basics 00:16:00 Entering values and Formulas 00:07:00 Data Handling Basics - Cut, Copy and Paste 00:14:00 Saving and Printing - Basics 00:09:00 Basic Formula Operations 00:13:00 Mathematical Formulas 00:19:00 Textual Formulas 00:17:00 Logical Formulas 00:11:00 Date-Time Formulas 00:07:00 Lookup Formulas ( V Lookup, Hlookup, Index-Match ) 00:08:00 Data Tools 00:19:00 Formatting data and tables 00:18:00 Pivot Tables 00:08:00 Advance Excel- Solver, Data tables 00:15:00 Assessment Assessment - Retail Analytics In Microsoft Excel Diploma 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

The Art of Delegation and High-Impact Feedback: In-House Training Whether you are a project manager, an executive, or simply someone involved in leading or helping others, a critical part of your work must involve delegating and giving feedback. These two skills, however, are not as simple as they seem. How do you know what to Partcipant? What kinds of feedback should you give? Knowing this and practicing this are two different things. Ultimately, delegating and giving feedback are skills that must be done mindfully, strategically, and meaningfully. They must be done in ways that not only positively impact performance, but also inspire growth, engagement, and motivation. When done poorly, they can create significant problems. But when done well, they can generate value for everyone and benefit future endeavors. In this course, you will learn to think more deeply about the importance of delegating and discover how to give better feedback. You will have opportunities to apply best practices and methodologies that you can use in the real world, ultimately paying off for you and for others. What you Will Learn At the end of this program, you will be able to: Explain why common excuses for NOT delegating are short-sighted Identify what needs delegating by using a proven methodology Utilize best practices in real world scenarios, delegating in a way that benefits you and the individual to whom you Partcipant Summarize key lessons learned in brain science which enhance the feedback-giving process Recognize the critical connection between feedback and performance Apply a proven model to deliver feedback that inspires growth, engagement, and motivation Getting Started What is delegation? What makes delegation hard? What do I Partcipant and why? How to Partcipant effectively Feedback Exploring the feedback process Why feedback is hard to give...and receive Why giving feedback effectively is important Feedback models

The Art of Delegation and High-Impact Feedback: Virtual In-House Training Whether you are a project manager, an executive, or simply someone involved in leading or helping others, a critical part of your work must involve delegating and giving feedback. These two skills, however, are not as simple as they seem. How do you know what to Partcipant? What kinds of feedback should you give? Knowing this and practicing this are two different things. Ultimately, delegating and giving feedback are skills that must be done mindfully, strategically, and meaningfully. They must be done in ways that not only positively impact performance, but also inspire growth, engagement, and motivation. When done poorly, they can create significant problems. But when done well, they can generate value for everyone and benefit future endeavors. In this course, you will learn to think more deeply about the importance of delegating and discover how to give better feedback. You will have opportunities to apply best practices and methodologies that you can use in the real world, ultimately paying off for you and for others. What you Will Learn At the end of this program, you will be able to: Explain why common excuses for NOT delegating are short-sighted Identify what needs delegating by using a proven methodology Utilize best practices in real world scenarios, delegating in a way that benefits you and the individual to whom you Partcipant Summarize key lessons learned in brain science which enhance the feedback-giving process Recognize the critical connection between feedback and performance Apply a proven model to deliver feedback that inspires growth, engagement, and motivation Getting Started What is delegation? What makes delegation hard? What do I Partcipant and why? How to Partcipant effectively Feedback Exploring the feedback process Why feedback is hard to give...and receive Why giving feedback effectively is important Feedback models

Level 3 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Join this course to take your 3D modeling skills up a notch! Graduate to the next level of game design by learning all about the Blender to Unreal Engine 5 (UE5) professional workflow for medieval dungeon props. You will learn how to build assets in Blender and then how to import them into Unreal Engine 5 for your project.

Why AutoCAD Mac Basics-Advanced Training Course? Click here for more info Learn 2D drawing, Plans, Sections, Elevations and advanced features. Choose in-person or live online sessions. Certified tutors, practical exercises, and career advice. Access recorded lessons and lifetime email support.  Duration: 16 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. AutoCAD for Mac Essentials to Advanced Training Course: Learn AutoCAD for Mac and master its popular functionalities, tailored for Mac users. Course Highlights: Thorough grounding for beginners in using AutoCAD for Mac. Develop the skills to create precise and high-quality 2D layouts and designs. Generic drawing techniques applicable to all industries. In-class or live online options available. Ideal for newcomers to AutoCAD for Mac, self-taught users, and those transitioning from other CAD tools. Autodesk Certified Tutors: Autocad Mac 1-2-1 training courses. Expert trainers with extensive experience in AutoCAD and various CAD applications. Hands-On Learning: Practical and hands-on training with demonstrations and step-by-step techniques. Support and Prerequisites: Lifetime post-course email support. Good working knowledge of the Mac OS required, no prior CAD experience needed. AutoCAD Mac Course Content: Fundamental Drawing:Creating Basic ObjectsWorking with LinesWorking with ArcsHandling Polylines Object Manipulation Techniques:Utilizing GripsMastering Object SnapsTracking Object Snap PointsEmploying Polar Tracking File Management:Saving Your WorkAuto-backupsUnderstanding Different File Formats (DXF, etc.)Disaster Recovery Accurate Object Creation:Working with UnitsUtilizing Dynamic InputUsing Inquiry Commands for Measurements Object Viewing and Navigation:Zooming TechniquesPanning Techniques Object Manipulation:Selecting Objects in the DrawingNoun/Verb SelectionQuick SelectMoving, Copying, Rotating, Mirroring, and Arraying ObjectsScaling, Trimming, and Extending Objects Organizing Drawings:Managing LayersChanging Object PropertiesExploring the Properties PaletteUsing Different Linetypes Layouts and Annotations:Working with Layouts and Page SetupsScaling Drawing ViewsAnnotating the Drawing with Text and DimensionsCreating MultileadersApplying Hatching to Objects Reusable Content:Creating and Inserting Blocks and SymbolsUsing Tool PalettesWorking with Groups Paper Space and Model Space: Understanding Model Space and Paper Space Creating Layouts and Managing Viewports Setting Viewport Scales Plotting and Output: Plotting Drawings Generating PDF Output Handling Multiple Sheet Drawings Using Plotstyles Drawing Templates and AutoCAD Tools: Creating Drawing Templates Exploring AutoCAD Toolsets Advance Plans, Sections, Elevations and Construction detailing. This course provides comprehensive instruction in AutoCAD, equipping participants with essential skills to create and manage drawings effectively for various design projects.

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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): 00:17:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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