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Audi A3 is a great Alias NURBS modeling tutorial that helps you learn Autodesk Alias surfacing fast by following 22 chapters of Audi A3 modeling. At the end of the tutorial you will achieve a model exactly similar to the final model! Course Description In this course you will learn how to model Audi A3 in Autodesk Alias. The project will be done in NURBS and a good enough details are included. This course is for students who have already joined our paid course and have enough knowledge of Alias tools and how to work with surfaces although others can also try this after they learned Basics. Tutorial videos don't have any explanations. Students have to follow the videos step by step to create a full Audi A3 Sedan 2021 model from zero. Here's why you'll succeed Trustworthy PlatformWe had more than 2000 course enrollments and dominating the biggest Alias modeling community. Many of MS3D Academy students have joined Automotive industry. A-Z: Deep DiveAll courses include full modeling projects from zero to a complete and professional model without any time lapses or cut scenes. Experienced InstructorsMost chapters include step-by-step instructions by highly talented instructors with extensive knowledge about Alias modeling. Course Lessons Start Welcome What will you create during this tutorial? 1 What will you create during this tutorial? 2 What will you create during this tutorial? 3 Download Autodesk Alias Basic Tutorials Get everything ready Preference sets Blueprints Audi A3 Final File Audi A3 Wireframe File Blueprints & Basic Top Surfaces Chapter 1 Chapter 1 wire file Shoulder & Wheel Arches Chapter 2 Chapter 2 wire file Basic Front Surfaces Chapter 3 Chapter 3 wire file Front Surfaces Chapter 4 Chapter 4 wire file About this course Free 12 lessons 2 hours of video content FAQ What is Autodesk Alias? Autodesk Alias is the most professional software being used at automotive industries and design studios for car design. The power of analyzing surfaces, high quality surfaces, nice flows and pro connections and other features have turned Alias into a very useful and professional software. Alias supports all formats of 3D files as inputs and export many useful formats which made Alias a compatible software. Alias focuses on automotive design as Autodesk introduce and promote it as the only professional 3D surface designer. How can I download and install Alias? You can download Autodesk Alias from MS3D.net website. Autodesk Alias Auto Studio from version 2020 to 2023 are what you have to download and install. Autodesk offers a FREE 30 days trial version to students and 1 year learning license. You can register at Autodesk website and download it. How long do I get access to my courses? You will access the contents immediately after you purchased a course. You’ll have lifetime access to the course and all its contents, so you can watch them whenever you like. Most of the videos we provide are downloadable so you may download them and watch later. Can I register for a course if I am working full time? Yes, of course! All of our courses are pre-recorded. You can work on your own pace and will support your step-by-step to makes sure you make most benefit out of your investment. Most of our course contents are downloadable so even if you didn't have access to internet, you can still watch the contents. Can I find a job after following courses? You will definitely level up your skills after completing our courses! They will help you to learn how to do high quality projects for clients. We have various connections with brands and design studios. some of them have official contracts with us to hire our top students or offer projects and pay them. How long does it take to learn? It depends on how much time do you have for training. You can start with 1 hour per day to 5 hours per day. Everything depends on your speed of progress! last MS3D students spent 2 weeks to 6 weeks to dominate the contents in average. If you have enough passion, you will be fast in learning Alias! Just keep confident, trust our proficiency and start learning Alias strong. Do you provide Certificate? Yes! Upon successful completion of the course, you will get a certification automatically from MS3D Academy.

Course Overview Do you want to earn money passively from home? DO you want to drive more traffic to your website? Google AdWords is a great way for that. Learn how you can use Google ad services to get ahead of your competitors and drive traffic towards your business from this Learn Google AdWords and Earn Passive income with PPC course and boost your sales in no time. This course will teach you to how you can make a profit out of per click of your visitors. In this Learn Google AdWords and Earn Passive income with PPC course, you will learn how to set up an AdWords account, theories, keyword research, conversation tracking, sales and revenue tracking. You'll also understand the importance of quality scores, data analysis and understanding customer psychological level from this course. This course will help you understand the steps of monetizing your website from scratch. Learning Outcomes Be able to drive traffic to your website or landing page Create and optimize your own profitable Google AdWords campaigns Learn how to advertise your products and services online Increase sales to your website using AdSense Use conversion tracking to determine the value of your ad campaign Monetize more than 6 billion daily searches on Google Be able to remarket to your website visitors Who is this course for? This course is for those who want to learn the functions of Adword and earn money from Google ad services. This course will help you to learn how you can earn money passively using AdWord step by step. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path Learn Google AdWords and Earn Passive income with PPC is a useful qualification to possess and would be beneficial for any related profession or industry such as: Digital Marketers Influencers Content Creators YouTubers Module 01: Introduction to Google Ads Welcome to Google Ads Masterclass! 00:13:00 Link to Isaac Rudansky's Digital Advertising Superstars Facebook Group 00:05:00 How to Make the Most of This Course, Plus a Sneak Peek of What's to Come! 00:20:00 Google Ads Formula Calculator 00:14:00 AdWords Formula Calculator I Built For You 00:05:00 What is Google Ads? 00:12:00 Where do Google Ads Show Up? 00:13:00 Complimentary Adventure Media Account Audit (exclusions apply) 00:06:00 Module 02: Creating and Setting Up Our First Google Ads Account Download Course Slides! 00:05:00 Creating Your First Google Ads Account 00:09:00 Understanding the Google Ads Account Hierarchy 00:08:00 Using Your Website Navigational Structure to Structure Your Google Ads Campaigns 00:20:00 Understanding Network Settings 00:14:00 Understanding Location Targeting 00:12:00 Configuring Location Targeting in Google Ads 00:10:00 Viewing Location Reports in Google Ads 00:15:00 Understanding Advanced Location Options 00:16:00 Setting and Configuring Languages 00:04:00 Setting Your Daily Budget and Understanding How Daily Budgets Work in Google Ads 00:13:00 Finding Your Hourly Reports in the Google Ads Interface 00:06:00 Using Google's Default Bid Strategy (Clicks) And Optional Max CPC Bid Limit 00:06:00 Bidding Strategies: Target Search Page Location 00:06:00 Bidding Strategies: Target ROAS 00:10:00 Bidding Strategies: Target CPA 00:05:00 Bidding Strategies: Target Outranking Share 00:08:00 Bidding Strategies: Maximize Clicks 00:05:00 Bidding Strategies: Enhanced CPC Bidding 00:05:00 Bidding Strategies: Manual CPC Bidding 00:05:00 Campaign Start and End Dates 00:02:00 Introduction to Dynamic Search Ads! 00:08:00 Understanding Sitelink Extensions 00:14:00 Callout Extensions 00:05:00 Call Extensions 00:08:00 Structured Snippet Extensions 00:06:00 App Extensions 00:02:00 Message Extensions 00:09:00 Location Extensions 00:10:00 Location Setting Exercise 00:05:00 Promotion Extensions 00:10:00 Price Extensions 00:12:00 Understanding Ad Rotation Settings 00:05:00 The Basics of Ad Scheduling 00:11:00 Understanding the Basics of Device Targeting 00:15:00 Understanding Campaign URL Options 00:07:00 Module 03: Structuring Your Ad Groups Like A Professional Ad Group Structure Basics and Organization 00:14:00 Ad Group Structure Ideas 00:07:00 Creating Our First Ad Group in Google Ads 00:09:00 Module 04: How To Write Killer Ads in Google Ads! The Anatomy of Google Text Ads 00:07:00 Compliance in Google Text Ads 00:06:00 Requesting a Manual Review of Your Ads and Expediting the Process 00:03:00 Best Practices for Successful Text Ads 00:14:00 Real-Life Case Ad Copy Case Study: Medical Equipment Company 00:15:00 The BJ Fogg Behavioral Model 00:39:00 Creating Our First Ad in Google Ads 00:13:00 Module 05: Setting Up Your AdWords Billing Configuring Your Billing Details in Google Ads 00:05:00 Module 06: Keywords in Depth - The Heartbeat of Your Account Keyword Basics: Keywords vs Queries 00:09:00 The Basics of Keyword Research 00:11:00 The Basics of Keyword Planning 00:13:00 The Basics of Keyword Organization 00:07:00 Understanding Keyword Match Types 00:12:00 Keyword Match Types: Broad Match 00:09:00 Keyword Match Types: Broad Match Modified 00:06:00 Keyword Match Types: Phrase Match 00:07:00 Keyword Match Types: Exact Match 00:12:00 Keyword Match Types: Negative Match 00:12:00 Using the Search Term Report to Find Negative Keywords Part 1 00:15:00 Using the Search Term Report to Find Negative Keywords Part 2 00:17:00 Understanding Negative Keyword Lists 00:12:00 Traffic Sculpting: Negative Keywords at the Ad Group Level 00:18:00 Adding Negative Keywords at The Ad Group Level 00:09:00 Traffic Sculpting Using OPTMYZR 00:07:00 Keyword Research: Google Suggestions, Google Related Searches and Autocomplete 00:14:00 Using Additional Research Tools to Get Negative Keyword Ideas 00:12:00 Keyword Research: Using the Google Keyword Planner 1 00:20:00 Keyword Research: Using the Google Keyword Planner 2 00:16:00 Keyword Research: Downloading Keyword Ideas from the Google Keyword Planner 00:16:00 Keyword Planning: The 6 Main Ways People Communicate With Search Engines 00:17:00 Keyword Planning: Understanding the Buyer Funnel 00:12:00 Keyword Planning: What Keywords Can Teach Us About Buying Intent 00:12:00 Keyword Planning: Using SEM Rush to Get Volume and Cost Estimates 00:18:00 Keyword Planning: Using SEM Rush to Get Keyword Ideas from Your Competitors 00:19:00 Keyword Planning: Using Google Keyword Planner to Get Volume & Cost Estimates 00:17:00 Keyword Organization: Getting Keywords Into Excel & Understanding Keyword Themes 00:17:00 Keyword Organization: Formatting Keywords in Excel 00:12:00 Keyword Organization: Using Pivot Tables to Visualize Your Campaign Structure 00:12:00 Keyword Organization: Using Mergewords to Generate Keyword Lists 00:14:00 Keyword Bidding Basics: Setting Your Initial Max CPC Bids 00:20:00 Module 07: Account Structure - How To Structure Ad Groups Like A pro Account Structure: How To Create A New Ad Group Within Your Campaign 00:07:00 Importing Your Keyword Lists From Excel Into Your New Ad Group 00:11:00 Creating Multiple, Relevant Ads For Your New Ad Groups 00:13:00 How To Navigate Between Ad Groups, Keywords and Ads Within A Campaign 00:08:00 Module 08: The Incredible Dynamics Of The AdWords Auction Introduction To The AdWords Auction 00:20:00 Understanding Quality Score: Click Through Rate And Ad Relevancy 00:15:00 Understanding Quality Score: Landing Page Quality 00:07:00 Understanding Ad Rank and How It Is Calculated 00:12:00 When You Could Ignore Low-Quality Scores (and when you can't!) 00:09:00 Advanced Techniques: Diagnosing Low-Quality Score With Excel Pivot Tables (1/3) 00:08:00 Advanced Techniques: Diagnosing Low-Quality Score With Excel Pivot Tables (2/3) 00:11:00 Advanced Techniques: Diagnosing Low-Quality Score With Excel Pivot Tables (3/3) 00:07:00 Module 09: Expanding And Refining Your Campaigns Navigating The AdWords Dashboard 00:16:00 How To Edit, Pause And Enable Keywords, Ad Groups and Campaigns 00:15:00 Editing The Essential Campaign Settings 00:06:00 How To Create New Campaigns That Will Improve Your Results 00:15:00 How To Use Your Website To Make The Best Campaigns Possible 00:16:00 How To Set Up Powerful Custom Schedules For Your Campaigns 00:12:00 Understanding Bid Adjustments And Using Them To Enhance Your Custom Schedules 00:12:00 Module 10: Negative Keywords - Your Greatest Ally Understanding Negative Keywords In-Depth 00:14:00 Using Broad, Phrase and Exact Match With Your Negative Keywords 00:07:00 Adding and Removing Negative Keywords and Negative Keyword Lists 00:20:00 Module 11: Making Your Ads Unstoppable With Multiple Ad Extnesions Introduction To Ad Extensions 00:06:00 The Benefits Of Using Ad Extensions 00:08:00 Different Types Of Ad Extensions and Best Practices 00:06:00 Adding Sitelink Extensions 00:08:00 Configuring Your Sitelink Extensions For The Best Results 00:11:00 Adding Callout Extensions And Phone Extensions 00:08:00 Module 12: Remarketing - Your Secret Weapon To Converting Like A Boss The 5 Primary Forms Of Remarketing 00:16:00 Realizing The Benefits And Importance Of Remarketing 00:13:00 How To Create And Add Your Remarketing Tag 00:09:00 Creating Your First Remarketing Audience 00:13:00 Configuring Your Remarketing Campaign Settings 00:14:00 Module 13: Keeping Track Of Profits With Conversion Tracking Understanding The Basics Of Conversion Tracking 00:14:00 Exploring The Different Conversion Actions Visitors Take On Your Site 00:14:00 Setting Up Conversion Tracking For Form Submissions 00:18:00 Generating And Installing Your Conversion Tracking Tag 00:09:00 Understanding The Basics Of Phone Call Tracking 00:09:00 Setting Up Phone Call Tracking And Understanding How To Analyze Conversion Data 00:10:00 Module 14: Profitable Bidding Strategies Return On Investment (ROI) vs Return On Ad Spend (ROAS)_ Important Distinction 00:15:00 How To Mathematically Calculate ROI and ROAS 00:09:00 Calculating Max CPC Bids From Your Conversion Rate And Conversion Value 00:12:00 Calculating Profitable Keyword Bids Based On Revenue Per Click 00:09:00 Module 15: Using AdWords Scripts To Enhance Performance and Increase Optimization Speed Introduction To AdWords Scripts - What Are Scripts 00:05:00 Bidding To Average Position AdWords Script (Part 1) 00:12:00 Bidding To Average Position AdWords Script (Part 2) 00:14:00 Module 16: Conclusion ... Goodbye For Now! Conclusion 00:03:00 Module 17: Bonus Material! Part 1 Understanding Search Queries and What We Learn From Searcher Languagage 00:18:00 Part 2 Accessing The Search Query Report and Understanding Long Tail Keywords 00:18:00 Part 3 Qualifying Your Ad Text And How To A_B Split Test Your Ads 00:23:00 Calculating Profitable Keyword Bids Based On Revenue Per Click 00:09:00

Learn Java programming step-by-step with 250 core features and 200+ code examples, perfect for absolute beginners. This hands-on course covers everything from basic concepts to advanced topics such as functional programming and exception handling using JShell and Eclipse as an IDE. Gain a solid foundation in Java and kickstart your programming career.

Regular 1-1s allow you, as a manager, to address a range of topics and challenges with your team members in a relatively informal manner, albeit aided by a level of structure and consistency. You should embrace frequent 1-1s with your team, regardless of how often you see them in person, as they provide the opportunity to ‘check-in’ with them, not to ‘check-up’ on them; to understand their current priorities, workload and challenges.  This course uses scenarios and outstanding manager top tips to help you learn about: the benefits of 1-1s and how to plan and prepare for them - frequency, location and agenda; regardless of whether your team member is based on site with you or remotely facilitating the meetings, using great coaching skills, and acting on feedback scheduling of tasks and reviewing and following up on action points More Information Industry & Sector Hospitality, Retail, Funeral, Business Business outcomes Recruitment, Retention, Induction/Onboarding Skills & Training Appraisals, Coaching, Management Jobs & Roles Manager, Deputy Manager, Supervisor, Director, Operations Director, Finance Director, HR Manager Course Author Mastering Multi-Units

This comprehensive course is designed to prepare you to take and pass the CompTIA A+ Certification Core (220-1102) certification exam. This is the second of a two-course series. To become fully A+ certified, you will need to pass both the 220-1101 and 220-1102 exams.

In this course, we will master the syntax and structure of RSpec then learn to utilize test-driven development principles to design and implement clean test specs and reduce dependencies in the test suite by mocking objects with class and instance doubles. We will also explore the wide collection of RSpec matches available to test the code.

Decision Making and Problem Solving (Virtual) We may live in an era of fast technology and increasing reliance upon automation, but our human abilities to think critically, make careful decisions, and solve nuanced problems are more important than ever. Our personal lives depend on those things, and so do the lives of our organizations. Since business is now conducted at remarkable speeds, we put our organizations at great risk daily when we have weak competencies with decision-making and problem-solving. Decisions and solutions that are executed impulsively and without structured approaches can create more problems or make existing ones worse! This course aims to help participants improve their skills so they can execute well and add value to the workplace. Learners will experience multiple decision-making and problem-solving models, tools, and techniques meant for the real world. They will learn how to align their growing toolboxes with the right situational contexts so that they can transfer that skill to the workplace. They will also discover how indecision, cognitive bias, and default thought processes can create obstacles to effective decision-making and problem-solving. What you will Learn Recognize the importance of making a sound decision in a timely manner Infer types of cognitive biases and obstacles that impact decision-making Separate facts, requirements, ideas, and perceptions when making a decision or solving problems Apply structured decision-making and problem-solving approaches Conduct cause and effect and Force Field analyses Evaluate alternative solution methods using various techniques Analyze real world situations to determine the best aligned decision-making and problem-solving models, tools, and techniques Implement decision-making and problem-solving models, tools, and techniques Getting Started Foundation Concepts Contextualizing decisiveness and problem-solving Discriminating between decisiveness and problem-solving Understanding Decision-Making Decision-making challenges and impacts Key drivers of good decision-making Thought processes and obstacles Knowledge, skills, and abilities (KSAs) Decision-Making Models and Supporting Tools Decision-making models, tools, and guidelines Tools to evaluate alternatives Translating requirements into action Problem-Solving Defining the problem Problem-solving models Cause and effect analysis Quick hit vs. innovative problem-solving Summary and Next Steps Course summary Personal action plan

With this 2-in-1 course, you will get access to AWS Technical Essentials and AWS Certified Solutions Architect - Associate certification exam content.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Learn new Android APIs such as RoomDatabase, ML Kit for face recognition, Cloud Firestore, Firebase, Maps, and the Android Studio IDE (integrated development environment)