1240 Business Analysis courses in Cardiff delivered Online

Learn how to use Microsoft Excel like a pro with our comprehensive Microsoft Excel Complete Diploma course. You will discover the latest features and functions, from basic calculations to advanced data analysis and visualization techniques. Whether you are an office worker, a business professional, or a student, this course will provide you with flexible learning options and expert guidance to help you excel in your career. Earn your certification and enhance your credentials with this course.

Depreciation might sound dull, but it's the secret sauce behind the numbers every accountant loves—or at least pretends to. Whether you're managing office equipment or calculating how fast a delivery van is losing value, depreciation helps keep the books straight and the taxman happy. This Depreciation Accounting Basics Course gives you the clear, no-nonsense insight into how assets lose value over time—and more importantly, how to record it properly. You’ll learn the methods, the formulas, and why straight-line depreciation is everyone’s not-so-secret favourite. Perfect for anyone who's ever looked at a balance sheet and thought, “I swear this laptop was worth more last year,” this course breaks down what you need to know about depreciation without the fluff. From residual values to reducing balances, you’ll understand how and why businesses account for wear and tear. With a little number-crunching charm and zero confusing jargon, this online course makes depreciation accounting feel a bit less... well, depressing. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 1: Introduction to Depreciation Accounting Module 2: Accounting for Depreciation Module 3: Deep Dive into the Depreciation Model Module 4: Case Studies and Real-World Applications Module 5: Depreciation Reporting and Compliance Module 6: Emerging Trends and Future Developments Learning Outcomes: Analyse financial reports for accurate depreciation insights. Apply depreciation models in diverse business contexts. Demonstrate compliance with depreciation reporting standards. Solve real-world financial challenges using case study approaches. Anticipate and adapt to emerging trends in depreciation accounting. Navigate regulatory landscapes with confidence and precision. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring accountants Finance professionals Business analysts Financial controllers Auditors Tax specialists Corporate finance teams Anyone seeking expertise in depreciation accounting. Career path Financial Analyst Accountant Auditor Tax Consultant Finance Manager Business Analyst Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Course Overview: Crack the Business Efficiency Code: Diploma in Lean Process and Six Sigma Millions saved, empires built. That's the power of Lean Process and Six Sigma. This isn't just a course; it's your launchpad. Go deeply into Lean's core: grasp its culture, principles, and value vs. waste. Master Value Stream Mapping and unlock the magic of flow and pull. Then, conquer Six Sigma. Master each phase, from defining problems to controlling solutions. Become the cost-saving genius and the efficiency expert. Enrol now. Lead the business transformation. Key Features of the Course: CPD certificate upon successful completion. 24/7 Learning Assistance for continuous guidance. Engaging and contemporary learning materials. Who is This Course For? This diploma in Lean Process and Six Sigma is ideal for aspiring process improvement specialists, business analysts, managers, and those keen to understand the intricacies of Lean and Six Sigma for organisational enhancement. Learning Outcome Gain an insightful understanding of the lean methodology. Recognise the intrinsic values and principles of Lean Culture. Discern the Five Principles of Lean and their application. Distinguish between Value and Waste in processes. Master the art of Value Stream Mapping (VSM). Learn the Principles of Flow and Pull. Acquire a comprehensive overview of Six Sigma. Navigate through the Six Sigma phases from Define to Control with confidence. Why Enrol in This Course: Stay ahead in the dynamic world of business by mastering process improvement skills. This Diploma in Lean Process and Six Sigma is a top-reviewed offering that has recently been updated and aligned with the latest trends. It is your ticket to achieving operational excellence. Requirements: Basic understanding of business processes. Familiarity with management principles is beneficial but optional. Career Path: Lean Process Consultant - Avg. UK salary: £45,000. Six Sigma Specialist - Avg. UK salary: £50,000. Operations Analyst - Avg. UK salary: £42,000. Quality Assurance Manager - Avg. UK salary: £55,000. Process Improvement Manager - Avg. UK salary: £53,000. Business Process Manager - Avg. UK salary: £52,000. Continuous Improvement Director - Avg. UK salary: £70,000. Certification: Learners will be awarded an accredited CPD certificate upon completing the Diploma in Lean Process and Six Sigma course. Course Curriculum 12 sections • 12 lectures • 03:31:00 total length •Understanding Lean: 00:22:00 •The Lean Culture: 00:19:00 •The Five Principles of Lean: 00:10:00 •Value and Waste: 00:19:00 •Value Stream Mapping (VSM): 00:19:00 •The Principles of Flow and Pull: 00:14:00 •Overview of Six Sigma: 00:12:00 •The Define Phase: 00:17:00 •The Measure Phase: 00:21:00 •The Analyse Phase: 00:23:00 •The Improve Phase: 00:21:00 •The Control Phase: 00:14:00

Overview This comprehensive course on Recruitment: IT Basics for IT Recruiters will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Recruitment: IT Basics for IT Recruiters comes with accredited certification from CPD, 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 Recruitment: IT Basics for IT Recruiters. It is available to all students, of all academic backgrounds. Requirements Our Recruitment: IT Basics for IT Recruiters 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. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 62 lectures • 05:10:00 total length •Introduction: 00:02:00 •Server: 00:08:00 •What is hardware and software?: 00:04:00 •Project Life Cycle: 00:06:00 •Software Development Life Cycle: 00:08:00 •Methodologies: Scrum, Agile, Kanban, Waterfall, Lean: 00:09:00 •CMS: 00:04:00 •API: 00:04:00 •Stacks: 00:03:00 •Native & Hybrid Native Apps: 00:02:00 •CI / CD / Deployment tools: 00:04:00 •CTO: 00:13:00 •IT Architects: 00:08:00 •Product Owner: 00:12:00 •Product Manager: 00:06:00 •PO vs Product Manager: 00:04:00 •Project Manager: 00:13:00 •Product Owner vs Project Manager vs Product Manager: 00:07:00 •Business Analysts: 00:09:00 •Business Intelligence Analyst: 00:06:00 •Data Engineer: 00:05:00 •Data Scientist: 00:07:00 •Data Engineer vs Data Scientist: 00:07:00 •Agile Coach: 00:14:00 •Scrum Master: 00:08:00 •Agile Coach vs Scrum Master: 00:01:00 •Frontend Developer: 00:06:00 •Backend Developer: 00:06:00 •Fullstack Developer: 00:04:00 •Developers: Frontend, Backend and Fullstack: 00:02:00 •iOS Developer: 00:03:00 •Android Developer: 00:04:00 •UX Designers: 00:09:00 •UI Design: 00:08:00 •UX vs UI Design: what is the difference?: 00:04:00 •QA Engineers and Testers: 00:09:00 •System Administrators: 00:07:00 •DevOps: 00:05:00 •SEO Specialists: who are they?: 00:10:00 •Programming Languages and Frameworks. Introduction: 00:01:00 •Programming languages and frameworks: 00:08:00 •JavaScript: 00:02:00 •Java: 00:03:00 •Python: 00:01:00 •C: 00:02:00 •C#: 00:02:00 •C++: 00:03:00 •SWIFT: 00:02:00 •Objective C: 00:01:00 •HTML: 00:02:00 •PHP: 00:02:00 •Ruby: 00:02:00 •SQL: 00:02:00 •Go: 00:01:00 •R: 00:01:00 •Database: 00:05:00 •Types of Databases: 00:07:00 •The day of an IT Recruiter: 00:05:00 •Key principles: 00:03:00 •Sourcing Tips: 00:03:00 •Thank you for taking part in this course!: 00:01:00 •Assignment - Recruitment: IT Basics for IT Recruiters: 00:00:00

Course Overview: Data analysis is a hot skill in today's job market. According to a recent study by LinkedIn, demand for data analysts is growing 15 times faster than the average for all occupations. And the salaries are good too. The average salary for a data analyst in the UK is £40,000. If you're looking to get ahead in your career or learn a new skill that's in high demand, then the Data Analysis in Excel Level 3 Course is for you. In this course, you'll learn how to use Excel to analyse data like a pro. You'll learn how to clean, format, and analyse data using various Excel tools and techniques. You'll also learn how to create charts and graphs to visualise your data. This course won't merely make you adept at Excel. It will mould you into a data wizard, wielding Excel as a potent tool to make data sing and secrets reveal themselves. Enrol Today and Start Learning! Key Features of the Course: Embark on your data analysis journey with us and discover these exciting features: A CPD Certificate to validate your newfound skills. 24/7 Learning Assistance for any hour inspiration strikes. Engaging learning materials to ensure an enriching learning experience. Who is This Course For? Our Data Analysis in Excel Level 3 Course caters to ambitious individuals with a basic understanding of Excel, eager to take their skills to new heights. This course welcomes everything from budding data enthusiasts to established business analysts seeking to fortify their analytical toolkits. What You Will Learn: Dive deep into the labyrinth of data as you master essential modules such as 'Search for and Replace Data,' 'Sort and Filter Data,' and 'Query Data with Database Functions.' Venture further into data exploration with our 'Outline and Subtotal Data' module, where you'll learn to summarise your data for a more organised view efficiently. The journey continues with modules like 'Create Charts' and 'Modify and Format Charts,' enabling you to translate complex data into easy-to-understand visuals. Furthermore, our dedicated modules on 'Creating a PivotTable' and 'Analysing PivotTable Data' promise a comprehensive understanding of one of Excel's most powerful tools. Why Enrol in This Course: Rated as a top-reviewed course and constantly updated to keep up with the latest trends, our Data Analysis in Excel Level 3 Course equips you with sought-after skills like data forecasting, creating sparklines, using advanced chart features, and more. Requirements: While no specific prerequisites are required, a basic understanding of Excel and an eagerness to explore the fascinating world of data analysis would be beneficial. Career Path: On completion of this Data Analysis in Excel Level 3 Course course, you'll be ready to step into diverse roles such as: Data Analyst (£30,000-£35,000) Business Intelligence Analyst (£32,000-£37,000) Market Research Analyst (£28,000-£33,000) Operations Analyst (£31,000-£36,000) Financial Analyst (£35,000-£40,000) Supply Chain Analyst (£30,000-£35,000) Sales Analyst (£29,000-£34,000) Certification: Upon successful completion of the course, you'll be awarded a prestigious CPD Certificate, demonstrating your expertise in data analysis using Excel. So, are you ready to discover the hidden stories in data and revolutionise decision-making? Enrol in our Data Analysis in Excel Level 3 Course and start your journey today! Course Curriculum 11 sections • 32 lectures • 04:43:00 total length •Insert, Delete, and Adjust Cells, Columns, and Rows: 00:10:00 •Search for and Replace Data: 00:09:00 •Use Proofing and Research Tools: 00:07:00 •Sort Data: 00:10:00 •Filter Data: 00:10:00 •Query Data with Database Functions: 00:09:00 •Outline and Subtotal Data: 00:09:00 •Apply Intermediate Conditional Formatting: 00:07:00 •Apply Advanced Conditional Formatting: 00:05:00 •Create Charts: 00:13:00 •Modify and Format Charts: 00:12:00 •Use Advanced Chart Features: 00:12:00 •Create a PivotTable: 00:13:00 •Analyze PivotTable Data: 00:12:00 •Present Data with PivotCharts: 00:07:00 •Filter Data by Using Timelines and Slicers: 00:11:00 •Use Links and External References: 00:12:00 •Use 3-D References: 00:06:00 •Consolidate Data: 00:05:00 •Use Lookup Functions: 00:12:00 •Trace Cells: 00:09:00 •Watch and Evaluate Formulas: 00:08:00 •Apply Data Validation: 00:13:00 •Search for Invalid Data and Formulas with Errors: 00:04:00 •Work with Macros: 00:18:00 •Create Sparklines: 00:07:00 •MapData: 00:07:00 •Determine Potential Outcomes Using Data Tables: 00:08:00 •Determine Potential Outcomes Using Scenarios: 00:09:00 •Use the Goal Seek Feature: 00:04:00 •Forecasting Data Trends: 00:05:00 •Assignment - Data Analysis in Excel Level 3 Course: 00:00:00

Course Overview: Imagine the power of interacting with databases, organising vast information, and extracting valuable insights - all at your fingertips. This might seem like a formidable task, but SQL, or Structured Query Language, brings this within reach. It is one of the most in-demand skills in the tech industry, with a projected 10% job growth rate over the next decade. Our course, The Complete SQL from Scratch: Bootcamp, provides a thorough understanding of SQL, irrespective of your prior familiarity with it. This comprehensive course walks you through the journey from the fundamentals of databases to the intricate functionalities of SQL. The curriculum includes detailed discussions on database creation, table manipulation, SQL statements, and utilisation of various operators. Moreover, it also covers essential operations like data backup and restoration, thus preparing learners for real-life database management scenarios. The course design ensures a smooth transition from one concept to another, enabling learners to solidify their understanding at each step. Enrol today and start learning SQL! Key Features of the Course: CPD certificate: Upon completion of the course, you'll receive a CPD certificate that you can use to demonstrate your skills to employers. 24/7 Learning Assistance: Our team of experts is available 24/7 to answer your questions and help you progress through the course. Interesting learning materials: The course is packed with engaging videos, interactive exercises, and quizzes to help you learn SQL in a fun and effective way. Who is This Course For? The Complete SQL from Scratch: Bootcamp course is suitable for anyone interested in diving into the world of databases or enhancing their skills further. Beginners with no prior knowledge and professionals seeking an in-depth understanding of SQL would equally benefit from the course. What You Will Learn: Through The Complete SQL from Scratch: Bootcamp , you will learn: An in-depth understanding of databases and their functions. Familiarity with PostgreSQL installation and various connections. Proficiency in manipulating data including insert, update, delete operations. A comprehensive grasp of complex SQL commands and queries. Skills to design and alter table structures using SQL scripts. Advanced knowledge about SQL statements, their structure, and usage. Competence in data backup and restoration in databases. Why Enrol in This Course: The Complete SQL from Scratch: Bootcamp course is reviewed as a top choice among learners, and is recently updated to match the trending industry needs. By enrolling, you will acquire a set of skills that are crucial in today's data-centric world, enhancing your employability and competitive edge. Requirements: No prior experience is required A computer with internet access Career Path: Database Administrator (average UK salary £47,000) Data Analyst (£40,000), Business Analyst (£43,000) SQL Developer (£45,000) Database Engineer (£48,000) Systems Analyst (£41,000) Data Architect (£62,000). Certification: After successfully completing the course, you will receive a CPD certificate, signifying your expertise in SQL. This course is your stepping stone to becoming a proficient database professional. Enrol and Lets get started! Course Curriculum 12 sections • 56 lectures • 06:39:00 total length •Introduction: 00:04:00 •Course Curriculum overview: 00:04:00 •Overview of Databases: 00:08:00 •PostgreSQL Installation: 00:13:00 •Connecting to PostgreSQL using psql: 00:04:00 •Connecting to PostgreSQL using PgAdmin: 00:07:00 •Basic of Database and Tables: 00:06:00 •Data Types: 00:07:00 •Primary Keys and Foreign Keys: 00:04:00 •Create Table in SQL Script: 00:17:00 •Insert: 00:05:00 •Update: 00:05:00 •Delete: 00:03:00 •Alter Table: 00:05:00 •Drop Table: 00:02:00 •Check Constraint: 00:12:00 •NOT NULL Constraint: 00:04:00 •UNIQUE Constraint: 00:06:00 •Overview of Challenges: 00:04:00 •SQL Statement Basic: 00:07:00 •SELECT Statement: 00:12:00 •SELECT DISTINCT: 00:10:00 •Column AS Statement: 00:07:00 •COUNT: 00:07:00 •SELECT WHERE Clause - One: 00:06:00 •SELECT WHERE Clause - Two: 00:11:00 •ORDER: 00:05:00 •LIMIT: 00:04:00 •BETWEEN keyword usage on real time: 00:08:00 •IN Operator: 00:06:00 •LIKE and ILIKE: 00:10:00 •Overview of GROUP BY: 00:03:00 •Aggregation Function: 00:12:00 •GROUP BY - One: 00:05:00 •GROUP BY - Two: 00:06:00 •HAVING on SQL Statement: 00:04:00 •Overview of JOINS: 00:07:00 •Introduction to JOINS: 00:06:00 •AS Statement table: 00:05:00 •INNER Joins: 00:14:00 •Full Outer Joins: 00:04:00 •Left Outer join: 00:03:00 •Right Outer Join: 00:05:00 •Union: 00:05:00 •Basic of Advanced SQL Commands: 00:04:00 •Timestamps: 00:17:00 •Extract from Timestamp: 00:05:00 •Mathematical Functions: 00:06:00 •String Functions: 00:16:00 •SubQuery: 00:08:00 •Overview of Databases and Tables: 00:02:00 •Creating a Database backup: 00:03:00 •Restoring a Database from backup: 00:04:00 •Overview Assessment Test: 00:02:00 •Mock Exam - The Complete SQL from Scratch: Bootcamp: 00:20:00 •Final Exam - The Complete SQL from Scratch: Bootcamp: 00:20:00

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Level 2 Microsoft Office Essentials

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00