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Overview This comprehensive course on Land Management Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Land Management Course comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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? There is no experience or previous qualifications required for enrolment on this Land Management Course. It is available to all students, of all academic backgrounds. Requirements Our Land Management Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 3 sections • 12 lectures • 05:33:00 total length •Module 01: Land Management: An Introduction: 00:28:00 •Module 02: Land Use and Land Use Planning: 00:34:00 •Module 03: Soil Management: 00:36:00 •Module 04: Land Degradation and Management: 00:27:00 •Module 05: Weed Management: 00:37:00 •Module 06: Watershed Management: 00:22:00 •Module 07: Irrigation Management: 00:30:00 •Module 08: Land Tenure, Administration and Transection: 00:42:00 •Module 09: Land Registration and Acquisition: 00:37:00 •Module 10: Land Law: 00:40:00 •Assignment - Land Management Course: 00:00:00 •Order Your Certificate: 00:00:00

Overview This comprehensive course on Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query comes with accredited certification which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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? There is no experience or previous qualifications required for enrolment on this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query. It is available to all students, of all academic backgrounds. Requirements Our Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 12 sections • 76 lectures • 06:08:00 total length •Course Outline and Introduction: 00:04:00 •Minimum Requirements for the Course: 00:01:00 •Prepayments Introduction: 00:01:00 •Month End Date Prepaid Expenses Amortization Calculation: 00:00:00 •Exact Prepaid Expenses Payment Date Calculation: 00:00:00 •Prepaid Expenses Accounting Definition: Prepayments: 00:03:00 •Prepaid Expense Example: How Accounting works for Prepayments: 00:03:00 •Advantages and Disadvantages of Prepaid Expenses: 00:03:00 •Introduction to PRO Excel Models and Formulas: 00:06:00 •Date Function: 00:05:00 •EOMONTH Function: 00:04:00 •DATEVALUE function: 00:03:00 •IF Function: 00:08:00 •IFS Function (Office 365 Only): 00:07:00 •VLOOKUP Function: 00:07:00 •MATCH Function: 00:05:00 •INDIRECT Function: 00:02:00 •NAMED Ranges: Name Manager: 00:03:00 •Advanced Version of VLOOKUP Function: 00:07:00 •Introduction to Model and Control Panel Tab (Important Sheet Tab): 00:08:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 1): 00:05:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 2): 00:06:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 3): 00:06:00 •IFS Function - Month End date Prepayment calculation: 00:04:00 •Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary): 00:09:00 •Protecting Formulas Cells and Fields in the Model: 00:04:00 •Exact Date Prepaid Amortisation calculation Intro: 00:03:00 •Formulas update and Model Changes for Exact Prepaid Exps Calculation: 00:03:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1): 00:04:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2): 00:03:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3): 00:02:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4): 00:07:00 •IFS Function - Exact Date Prepayments Amortisation: 00:04:00 •Data Validation Controls (Enhancing Data Input Controls with Protection): 00:10:00 •Bonus: Prepayment Model with Opening Balance Calculation (Part 1): 00:08:00 •Bonus: Prepayment Model with Opening Balance Calculation (Part 2): 00:09:00 •Additional Material: Resources: 00:00:00 •Power Query and Pivot Table Prepayment Summary Table Intro: 00:06:00 •What is Power Query and Some Awesome Resources for Power Query learning: 00:07:00 •Power Query and Pivot Table Summary - Deep Dive (Part 1): 00:05:00 •Power Query and Pivot Table Summary - Deep Dive (Part 2): 00:04:00 •Power Query and Pivot Table Summary - Deep Dive (Part 3): 00:05:00 •Power Query and Pivot Table Summary - Deep Dive (Part 4): 00:09:00 •Using Array Formulas to Add Formula Protection: 00:04:00 •Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1: 00:02:00 •Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2: 00:08:00 •Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version): 00:13:00 •Changing Macros Security in Excel: 00:05:00 •Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model: 00:06:00 •Bonus : New Version - Excel VBA Model for Prepayment Expenditure: 00:08:00 •Dynamic Dashboard Overview: 00:07:00 •Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets: 00:08:00 •Creating Dynamic Data Validation: 00:02:00 •Creating Named Ranges for Dynamic Table Arrays: 00:03:00 •Dynamic Date Column Headings for each Divisional PL Table: 00:02:00 •Dynamic Month and YTD Dashboard tables headings (PRO TIP): 00:03:00 •Dynamic VLOOKUP Formula - Preparing First section of the Dashboard: 00:04:00 •Creating Rolling Dashboard with Dynamic VLOOKUP Function: 00:08:00 •IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP): 00:03:00 •Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function): 00:05:00 •Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit: 00:05:00 •Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1): 00:03:00 •Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2): 00:06:00 •Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed: 00:05:00 •Understanding the data files before building dashboard: 00:02:00 •Consolidating Reports with Power Query (Get & Transform) , How to install PQ: 00:08:00 •Dynamic File Path Trick in Power Query with Parameters (Amazing trick): 00:06:00 •Conditional Cumulative totals with SUMIFS Function: 00:04:00 •Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code): 00:06:00 •Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise: 00:06:00 •Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast): 00:08:00 •Dashboard Creation - Line Charts: 00:08:00 •Update Dashboard with Additional Divisional Data with Few Click (Magical): 00:03:00 •Thank you: 00:02:00 •Ultimate Prepaid Expenditure Model (Super Bonus): 00:02:00 •Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query: 00:00:00

With this GraphQL Training with NodeJs you will learn how to start GraphQL and NodeJs, do CURD Operations with NodeJs, MongoDB, and GraphQL, and fragment, union, and interfaces with GraphQL. The course will teach you to learn how to set page number, make caching and batching, filtering, sorting and to know about the subscription and data loaders in GraphQL. You will master fundamental concepts behind structuring graphql servers. Learn to build apis with graphql. You will explore to integrating graphql with nodejs and mongodb and, graphql with nodejs and sequelize. You will also learn to test the data authentication and authorization with Jest in MngoDB, NodeJs, and GraphQL. Who is this course for? GraphQL Training with NodeJs is suitable for anyone who wants to gain extensive knowledge, potential experience and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our GraphQL Training with NodeJs is open to all from all academic backgrounds and there are no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Getting Started Create Express Server in NodeJs 00:04:00 Create GraphQL Server using express 00:08:00 Understand GraphQL Resolver Arguments 00:00:00 Connect GraphQL App with MongoDB using Mongoose 00:04:00 CURD(Create, Read,Update,Delete) Operations with Nodejs, GraphQL, and MongoDB Create Record in MongoDB Using GraphQL Mutation 00:06:00 Get Records From MongoDB Using GraphQL Query 00:02:00 Update Records From MongoDB Using GraphQL Mutation 00:02:00 Delete Record From MongoDB Using GraphQL Mutation 00:02:00 Authentication and Authorization in GraphQL, Nodejs and MongoDB Create GraphQL Server with GraphQL Yoga 00:03:00 Split up your schema definition, resolvers, and Query type into multiple files 00:07:00 Create a Mongoose User model for Authentication in GraphQL 00:03:00 Register and Encrypt User Data and Return JWT Payload with Graph 00:07:00 Operations and Variables in GraphQL 00:02:00 Validate Input in GraphQL with Joi 00:04:00 Authenticate a User using a JSON Web Token in GraphQL 00:03:00 Merge GraphQL Resolvers into a Single Object using lodash.merge 00:02:00 Create a Middleware for Authentication in GraphQL 00:07:00 Apply Authentication Middleware on GraphQL Resolvers 00:03:00 Create Nested Resolvers to remove duplicate code from individual 00:07:00 Pagination, Filtering, And Sorting in GraphQL Paginate List of Data in GraphQL 00:08:00 Filter Nodes with Matching Rule GraphQL Queries 00:03:00 Sort GraphQL Query Results by Field 00:02:00 Cursor Based Pagination 00:09:00 Fragments, Interfaces, and Unions in GraphQL Send Multiple Queries in a Single Request using Aliases in GraphQL 00:00:00 Enhancing Fields Reusability with Fragments in GraphQL 00:02:00 Create Enum to represents a collection of related values 00:03:00 Create an Interface to represent the reusable fields in GraphQL 00:06:00 Interface Demo with - ResolveType 00:05:00 Create Union to return more than object type from GraphQL field 00:11:00 Subscriptions and DataLoaders in GraphQL Introduction to Subscriptions 00:01:00 Adding real-time functionality with GraphQL Subscriptions 00:06:00 Create DataLoader in GraphQL 00:05:00 Batching in GraphQL 00:05:00 Caching in GraphQL 00:03:00 Testing with Jest in GraphQL and NodeJs Write Unit test for Resolvers in GraphQL 00:04:00 Write Integration Test for Queries And Mutations in GraphQL 00:04:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

A free sampler for the Motorcycle Skills - Improve your Riding in Eight Weeks online e-course from Survival Skills Rider Training

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In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Create Videos, Motion Graphics and Animation Using Canva will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Create Videos, Motion Graphics and Animation Using Canva will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Create Videos, Motion Graphics and Animation Using Canva and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Create Videos, Motion Graphics and Animation Using Canva is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Create Videos, Motion Graphics and Animation Using Canva. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Create Videos, Motion Graphics and Animation Using Canva will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Create Videos, Motion Graphics and Animation Using Canva How to Make Videos on Canva Intro 00:04:00 2023 Additional Updates Canva Video Editor Tutorial for Beginners 2023 00:20:00 17 Canva Video Hacks for Faster Professional Videos 00:23:00 Create Instagram Reels on Canva (Part 1) 00:12:00 Create Instagram Reels on Canva (Part 2) 00:14:00 Start Using the Canva Video Editor How to Use Canva Video Editor (Basic) 00:34:00 How to Add Soundtrack and Audios 00:08:00 How to Make Videos in Canva (Intermediate) 00:39:00 How to Make (Advanced) Videos in Canva 00:30:00 How to Compress Your Videos without Losing Quality (Mobile App) 00:05:00 How to Split Videos on Canva 00:04:00 Final Tasks Video 1 Simple Start 00:01:00 Video 2 Intermediate 00:01:00 Video 3 Advanced 00:01:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Video Animation With Vyond - Basics will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Video Animation With Vyond - Basics will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Video Animation With Vyond - Basics and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Video Animation With Vyond - Basics is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Video Animation With Vyond - Basics. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Video Animation With Vyond - Basics will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Video Animation With Vyond - Basics Lesson 01: Overview 00:02:00 Lesson 02: Pricing 00:02:00 Lesson 03: Vyond Resources 00:02:00 Lesson 04: Interface and Timeline 00:03:00 Lesson 05: Adding Templates 00:03:00 Lesson 06: Character Library 00:03:00 Lesson 07: Character Properties - Part1 00:03:00 Lesson 08: Character Properties - Part 2 00:03:00 Lesson 09: Character Properties - Part 3 00:03:00 Lesson 10: Prop Library 00:03:00 Lesson 11: Prop Properties 00:02:00 Lesson 12: Chart Properties - Part 1 00:02:00 Lesson 13: Chart Properties - Part 2 00:03:00 Lesson 14: Text Library 00:02:00 Lesson 15: Text Properties 00:02:00 Lesson 16: Scene Transitions 00:02:00 Lesson 17: Differences with Whiteboard Animation - Part 1 00:04:00 Lesson 18: Differences with Whiteboard Animation - Part 2 00:03:00 Lesson 19: Adding in the Camera to Zoom In 00:04:00 Lesson 20: Conclusion 00:02:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

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Greenhouse growing becomes very popular all over the world. At present, it is cultivating commercially. Anyone can start this greenhouse growing commercially or as part of hobbies. Before doing that, it would be better if they have some basic knowledge about this field However, for mitigating the quest of greenhouse grower, we designed the Greenhouse Growing Course course. The ultimate course assists them to learn further regarding all effective issues of the field. The course instructs the learner some crucial tips regarding greenhouse growing such as how to select a place, prepare seed beds, seed seasonal starting seeds, ensure light sources, control temperature, water into the plants, make ventilation, and many more things. Besides, the course instructs you to different composts, fertilizer, and ingredients of greenhouse growing for getting the utmost profit. Who is this course for? Greenhouse Growing Course is suitable for anyone who wants to gain extensive knowledge, potential experience, and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our Greenhouse Growing Course is open to all from all academic backgrounds and there is no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Greenhouse Growing Course Introduction 00:30:00 A Peek into a Greenhouse: a Primer What is a greenhouse? 00:30:00 Types of Greenhouses 01:00:00 Tools and Materials for Your Greenhouse 01:00:00 Tips for Your Greenhouse 01:00:00 Greenhouse Resources / References for Hobbyists 00:30:00 Your Wonderland 01:00:00 Growing Chillies & Peppers 00:30:00 Growing Tomatoes 01:00:00 Conclusion 00:30:00 Recommended Reading Recommended Reading: Greenhouse Growing Course 00:00:00 Mock Exam Mock Exam- Greenhouse Growing Course 00:20:00 Final Exam Final Exam- Greenhouse Growing Course 00:20:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •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 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): 00:37:00 •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 •Resources- Python for Data Analysis: 00:00:00