299 Data Visualization courses in London delivered On Demand

Embark on a transformative journey into the world of spatial analysis with our comprehensive Spatial Analysis in ArcGIS course. Master the art of extracting meaningful insights from geospatial data using the powerful ArcGIS platform. Delve into the intricacies of point density analysis, exploring techniques for identifying and analyzing patterns in point data distribution. Discover how to utilize raster calculator and vector isolation to manipulate and isolate raster and vector data for further analysis. Explore the concept of raster to topography conversion, learning how to transform raster data into elevation models and analyze terrain patterns. Uncover the secrets of raster reclassification, mastering techniques for reclassifying raster data to create thematic maps and enhance data visualization. Learning Outcomes Gain a comprehensive understanding of spatial analysis concepts and techniques Master the application of point density analysis to identify and interpret patterns in point data distribution Utilize raster calculator and vector isolation to manipulate and isolate raster and vector data for advanced analysis Perform raster to topography conversion to create elevation models and analyze terrain patterns Implement raster reclassification techniques to reclassify raster data, create thematic maps, and enhance data visualization Leverage ArcGIS tools to conduct spatial analysis effectively Apply spatial analysis techniques to solve real-world problems and make informed decisions Why choose this Spatial Analysis in ArcGIS course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Spatial Analysis in ArcGIS course for? GIS professionals seeking to enhance their spatial analysis skills and knowledge Individuals interested in learning how to extract meaningful insights from geospatial data Urban planners, geographers, environmental scientists, and researchers working with spatial data Anyone seeking to advance their career in the field of GIS and spatial analysis Those seeking to utilize ArcGIS for spatial analysis and problem-solving Career path GIS Analyst (£25,000 - £45,000) GIS Specialist (£30,000 - £50,000) GIS Manager (£40,000 - £60,000) Senior GIS Analyst (£45,000 - £65,000) Spatial Data Scientist (£50,000 - £70,000) GIS Consultant (£50,000 - £70,000) Prerequisites This Spatial Analysis in ArcGIS does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Spatial Analysis in ArcGIS 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. Course Curriculum Module 01: Point Density Analysis Point Density Analysis 00:10:00 Module 02: Raster Calculator and Vector Isolation Raster Calculator and Vector Isolation 00:12:00 Module 03: Raster to Topography Raster to Topography 00:12:00 Module 04: Raster Reclassification Raster Reclassification 00:14:00 Module 05: Raster Overlay Raster Overlay 00:13:00 Module 06: Slope Analysis and Hydrology tools Raster Overlay 00:11:00 Module 07: Introduction to TIFF Files Raster Overlay 00:12:00 Module 08: Introduction to 3D Surfaces Introduction to 3D Surfaces 00:12:00 Module 09: Satellite Images and TIN Surfaces Satellite Images and TIN Surfaces 00:12:00 Module 10: Exercise Exercise 00:08:00 Assignment Assignment - Spatial Analysis in ArcGIS 00:00:00 Resources Resources - Spatial Analysis in ArcGIS 00:00:00

Imagine a world where the vast realms of IT and analytics seem intricate, and the data emanating from every corner feels overwhelming. Now, reimagine a world where you have the power to interpret, analyse, and make that data sing a tune of actionable insights. Welcome to our "IT and Analytics" bundle, where complexity turns into simplicity. Dive deep into the myriad elements of IT and analytics, encompassing everything from the basics of Google Analytics and Excel Pivot Tables to the advanced nuances of Windows 10 troubleshooting. This comprehensive bundle caters to both beginners and seasoned professionals, offering in-depth theoretical knowledge that is instrumental in the real world. By immersing yourself in these carefully curated courses, you are setting the foundation for deciphering data, understanding IT basics, and recruiting the right IT talent. The purpose of this bundle is clear: to mould learners into well-rounded professionals with a keen sense for IT and analytics. Whether you're looking to streamline business processes, bolster your IT department, or simply understand the data-centric world around you, this is your golden ticket. Take the leap and embrace the future of IT and analytics today! Courses Included: Course 1: Google Analytics for Everyone Course 2: RCA: Root Cause Analysis Course 3: SQL for Data Science, Data Analytics and Data Visualization Course 4: Introduction to Data Analytics with Tableau Course 5: Excel Pivot Tables Course 6: CompTIA IT Fundamentals ITF+ (FCO-U61) Course 7: Recruitment: IT Basics for IT Recruiters Course 8: Advance Windows 10 Troubleshooting for IT HelpDesk Learning Outcomes: Understand the fundamentals and advanced features of popular IT and analytics platforms. Gain theoretical insights into root cause analysis and its applications. Enhance decision-making abilities through data visualisation techniques. Grasp the essence of IT recruitment and selection of appropriate candidates. Master troubleshooting methods and strategies for Windows 10. Build foundational knowledge in IT essentials through the CompTIA IT Fundamentals ITF+ curriculum. Google Analytics for Everyone Decode user behaviour and make informed decisions with Google Analytics. RCA: Root Cause Analysis Uncover the underlying reasons behind complex issues through structured analysis. SQL for Data Science, Data Analytics and Data Visualization Harness the power of SQL for effective data science and visualization. Introduction to Data Analytics with Tableau Dive into data storytelling and visualisation with Tableau. Excel Pivot Tables Master Excel's Pivot Tables for dynamic data analysis. CompTIA IT Fundamentals ITF+ (FCO-U61) Establish a solid IT foundation with CompTIA IT Fundamentals. Recruitment: IT Basics for IT Recruiters Learn the essentials of IT recruitment and talent selection. Advance Windows 10 Troubleshooting for IT HelpDesk Elevate your troubleshooting skills for Windows 10 environments. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data analysts keen on mastering theoretical aspects of IT and analytics. IT enthusiasts looking to enhance their knowledge base. Business professionals aiming to understand IT-related decisions better. HR and recruitment professionals with a focus on IT hiring. Anyone with a passion for data interpretation and the world of IT. Career path Data Analyst - £30K to £50K/year. IT Support Specialist - £25K to £45K/year. IT Recruiter - £28K to £55K/year. Database Administrator - £35K to £60K/year. Business Intelligence Analyst - £32K to £58K/year. IT Consultant - £40K to £70K/year. Systems Administrator - £30K to £55K/year. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - £9.99

A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!

Give a compliment to your career and take it to the next level. This Web Application Penetration Testing & Security will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Web Application Penetration Testing & Security will help you keep ahead of the pack. The Web Application Penetration Testing & Security incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this Web Application Penetration Testing & Security will add extra value to your resume to stand out to potential employers. Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the Web Application Penetration Testing & Security, you can equip yourself with the essentials to keep you afloat into the competition. Along with this Web Application Penetration Testing & Security course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. This Bundle Consists of the following Premium courses: Course 01: Complete Web Application Penetration Testing & Security Course 02: Secure Programming of Web Applications Course 03: GDPR Data Protection Level 5 Course 04: Front End Web Development Diploma Course 05: Modern Web Designing - Level 2 Course 06: WebGL 2D/3D Programming and Graphics Rendering Course 07: Python for Data Analysis Course 08: Network Security Level 2 Course 09: SQL Server for Beginners Course 10: Functional Skills IT Course 11: Level 2 Microsoft Office Essentials As one of the top course providers in the UK, we're committed to providing you with the best educational experience possible. Our industry experts have designed the Web Application Penetration Testing & Security to empower you to learn all at once with accuracy. You can take the course at your own pace - anytime, from anywhere. So, enrol now to advance your career! Benefits you'll get choosing Apex Learning for this Web Application Penetration Testing & Security: One payment, but lifetime access to 11 CPD courses Certificate, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Get 24/7 help or advice from our email and live chat teams Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificates: Free (Previously it was £10*11= £110) Hard Copy Certificates: Free (Previously it was £20*11= £220) Curriculum of the Bundle Course 01: Complete Web Application Penetration Testing & Security Unit 01: Introduction Unit 02: BE PREPARED Unit 03: WEB APPLICATION TECHNOLOGIES Unit 04: INFORMATION GATHERING - MAPPING THE APPLICATIONS Unit 05: CROSS-SITE SCRIPTING ATTACKS - XSS Unit 06: SQL INJECTION ATTACKS - EXPLOITATIONS Unit 07: CROSS SITE REQUEST FORGERY - XSRF Unit 08: AUTHENTICATION & AUTHORIZATION ATTACKS Unit 09: CLIENT SIDE SECURITY TESTING Unit 10: FILE RELATED VULNERABILITIES Unit 11: XML EXTERNAL ENTITY ATTACKS - XXE Course 02: Secure Programming of Web Applications Section 01: Introduction Section 02: Well-known Vulnerabilities and Secure Programming Section 03: Conclusion and Summary Course 03: GDPR Data Protection Level 5 Module 01: GDPR Basics Module 02: GDPR Explained Module 03: Lawful Basis for Preparation Module 04: Rights and Breaches Module 05: Responsibilities and Obligations Course 04: Front End Web Development Diploma Welcome to the course! Web Development Basics - HTML Advanced HTML Concepts Introduction to Cascading Style Sheets (CSS) Advanced CSS JavaScript for Begeinners More JavaScript Concepts Getting Started with jQuery More jQuery Bootstrap Basics Project #2 - Pipboy from Fallout 4 Project #3 - Google Chrome Extension BONUS - Coding Another Google Chrome Extension Course 05: Modern Web Designing - Level 2 Module: 01 1.1 Intro 1.2 Install the Tools and Get Started Module: 02 2.1 Intro to HTML 2.2 What is HTML 2.3 Start a New HTML File & Use Tags 2.4 Header Tags 2.5 Edit Text 2.6 Links 2.7 Images 2.8 Lists 2.9 Challenge 1 2.10 HTML Outro Module: 03 3.1 CSS Intro 3.2 Add CSS Styles 3.3 Classes and IDs 3.4 Borders 3.5 Sizing 3.6 Padding and Margin 3.7 Text Styles 3.8 DIVs 3.9 Postioning 3.10 Hover 3.11 Easily Center Elements 3.12 Fonts 3.13 Challenge 3.14 CSS Outro Module: 04 4.1 Intro to Bootstrap 4.2 Install Bootstrap 4.3 Indenting and Containers 4.4 The Grid System 4.5 Images 4.6 Buttons 4.7 Challenge 3 4.8 Bootstrap Outro Module: 05 5.1 Landing Page Intro 5.2 Sketch Your Landing Page 5.3 The Top Section 5.4 Polish the Top Section 5.5 Adding Images 5.6 The Main Points Section 5.7 Collecting Emails With an Opt-In Form 5.8 Challenge 4 5.9 Landing Page Outro Module: 06 6.1 Business Site Intro 6.2 Sketch Up 6.3 Using Fancy Font Logo 6.4 Carousel Basics 6.5 Carousel Extras 6.6 Text on Images 6.7 Phone Number Icon 6.8 Google Maps 6.9 Font Awesome 6.10 Challenge 4 6.11 Business Site Outro Module: 07 7.1 Intro 7.2 Portfolio Sketch 7.3 Jumbotron 7.4 Nav Bar 7.5 Panels 7.6 Challenge 5 7.7 Portfolio Outre Module: 08 8.1 Hosting 8.2 Bluehost 8.3 Uploading 8.4 Tips 8.5 Hosting Outro Course 06: WebGL 2D/3D Programming and Graphics Rendering Section 01: Introduction Section 02: Drawing Objects Section 03: Colours and Textures Section 04: Moving & Transforming Objects Section 05: Movement & Camera Section 06: Lighting & Shading Course 07: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 08: Network Security Level 2 Security and Risk Management Asset Security Security Engineering Communication and Network Security Identity and Access Management Security Assessment and Testing Security Operations Software Development Security Course 09: SQL Server for Beginners Introduction Setup Basic queries Security MSSQL an ddifferent drivers Files General Course 10: Functional Skills IT Section 1: Introduction Section 2: Information Technology Section 3: Components of IT Section 4: Hardware Section 5: Operating System Section 6: Application/Software Section 7: Networking Section 8: Security Section 9: Traffic Flow & Enterprise Level IT Components Section 10: Storage Section 11: Database Section 12: Virtualisation & Cloud Section 13: Management & Other IT Jobs Course 11: Level 2 Microsoft Office Essentials Excel 2016 Getting Started with Microsoft Office Excel 2016 Performing Calculations Modifying a Worksheet Formatting a Worksheet Printing Workbooks Managing Workbooks Word 2016 Getting Started with Word Formatting Text and Paragraphs Working More Efficiently Managing Lists Adding Tables Inserting Graphic Objects Controlling Page Appearance Preparing to Publish a Document Workbooks - Microsoft Word 2016 (Beginner) PowerPoint 2016 PowerPoint Interface Presentation Basics Formatting Inserting Options Working with Objects Table Charts Review and Presentatin Access 2016 Introduction to Access Modify Data Working with Queries Access Forms Working with Reports CPD 135 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Web Application Penetration Testing & Security bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our Web Application Penetration Testing & Security 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 expertise will increase the value in your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included

🚀 Unleash Your Excel Mastery with 'Microsoft Excel 2016 (Basic to Advanced)' Course! 🚀 Are you tired of spending hours grappling with Excel, only to end up with frustrating and inefficient solutions? Do you dream of becoming the Excel wizard in your workplace, effortlessly creating powerful and efficient solutions? Look no further! Introducing our groundbreaking online course: 'Microsoft Excel 2016 (Basic to Advanced).'   🌟 Why Choose 'Microsoft Excel 2016 (Basic to Advanced)'? ✅ Master Advanced Excel Techniques: Dive deep into the world of Excel with our comprehensive modules that cover everything from advanced formulas and functions to data visualization and analysis. ✅ Practical Real-World Applications: Say goodbye to theoretical lessons! We focus on real-world scenarios, ensuring you can immediately apply your newfound skills to solve complex problems in your professional life. ✅ Build Efficiency: Learn the secrets of crafting efficient and streamlined Excel solutions. From automating repetitive tasks to optimizing complex workflows, you'll become a productivity powerhouse. ✅ Expert-Led Instruction: Our experienced instructors are Excel aficionados with a passion for teaching. Benefit from their wealth of knowledge and insider tips, ensuring you stay ahead of the curve. ✅ Interactive Learning: Engage with hands-on exercises, quizzes, and projects that reinforce your understanding and transform you into a confident Excel pro. ✅ Lifetime Access: Gain unlimited access to the course content, updates, and a supportive community. Your learning journey doesn't end - it evolves.   🎓 What You'll Learn: Advanced Formulas and Functions: Supercharge your spreadsheet skills with complex formulas and functions, unlocking Excel's true potential. Data Visualization Mastery: Transform raw data into visually stunning charts and graphs, making your reports and presentations more impactful. Automation Techniques: Streamline your work by mastering Excel's automation features, saving time and reducing errors. Data Analysis Strategies: Unlock the power of PivotTables, data models, and analysis tools to gain valuable insights from your data. Optimizing Workflows: Learn to design efficient workflows and templates that enhance collaboration and productivity.   🌐 Who Is This Course For? Professionals aiming to boost their Excel proficiency. Entrepreneurs seeking to optimize business processes. Students preparing for a data-driven career. Anyone who wants to stay ahead in today's competitive workplace.   Don't miss out on this opportunity to elevate your Excel skills and stand out in the crowd. Join 'Microsoft Excel 2016 (Basic to Advanced)' today and pave the way for a successful and efficient future! Course Curriculum Microsoft Excel 2016 Basic Pre Sell Video 00:00 Lesson 1 - Overview 00:00 Lesson 2 - Interface 00:00 Lesson 3 - File Menu - Part 1 00:00 Lesson 4 - File Menu - Part 2 00:00 Lesson 5 - Home Menu 00:00 Lesson 6 - Insert Menu 00:00 Lesson 7 - Page Layout Menu 00:00 Lesson 8 - Formulas Menu 00:00 Lesson 9 - Data Menu - Part 1 00:00 Lesson 10 - Data Menu - Part 2 00:00 Lesson 11 - Review Menu 00:00 Lesson 12 - View Menu 00:00 Lesson 13 - Templates 00:00 Lesson 14 - Dates 00:00 Lesson 15 - Numbers 00:00 Lesson 16 - Text 00:00 Lesson 17 - B - Calculations-Manual 00:00 Lesson 18 - Calculations 00:00 Lesson 19 - Page Set Up 00:00 Lesson 20 - Print Settings 00:00 Lesson 21 - Conclusion 00:00 Microsoft Excel 2016 Advanced Lesson 1 - Overview 00:00 Lesson 2 - Calculations - Absolute References 00:00 Lesson 3 - Calculations - Relative References 00:00 Lesson 4 - Using Logical Formulas 00:00 Lesson 5 - Using Text Formulas 00:00 Lesson 6 - Using Lookup Formulas 00:00 Lesson 7 - Using Financial Formulas 00:00 Lesson 8 - Using Date and Time Formulas 00:00 Lesson 9 - Sorting Data 00:00 Lesson 10 - Formatting Data into Tables 00:00 Lesson 11 - Using Pivot Tables - Part 1 00:00 Lesson 12 Using Pivot Tables - Part 2 - Design 00:00 Lesson 13 - Formatting Data as Charts 00:00 Lesson 14 - Formatting As Data as Maps 00:00 Lesson 15 - Formatting Data as Formal Reports 00:00 Lesson 16 - Formatting Data for Other Office Documents 00:00 Lesson 17 - Cell Protection and Collaboration 00:00 Lesson 18 - Cell Protection and Collaboration - Part 2 00:00 Lesson 19 - Interface with Google Sheets 00:00 Lesson 20 - Conclusion 00:00

A comprehensive, simple, visual guide and a super-easy course using SAS with no installation on your computer necessary. This course uses the latest SAS Studio offered through SAS OnDemand and it's completely free. 12+ hours of knowledge-packed lectures, videos, quiz questions, followed by two practical and hands-on guided exercises and projects.

Learn how to use D3.js (version 6.x) effectively in a React environment

Master Data Science skills using Python and real time project and go from Beginner to Super Advance level

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

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this