Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join 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? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. 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 And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00
Description: Digital marketing is promoting that makes utilization of electronic gadgets, for example, PCs, cell phones, tablets and game consoles to connect with stakeholders. Digital marketing uses technologies or platforms, for instance, sites, email, applications and social media platforms. Transform your career with the specialized knowledge and skills to plan, implement, measure and evaluate digital marketing strategies, and, how these can add to building and supporting successful and coordinated digital marketing campaigns. By the end of this course, students will gain the skills and in-depth knowledge necessary to become a fruitful and professional digital marketer. Who is the course for? Digital marketers who want to upgrade their knowledge and skills in digital marketing. Digital marketers to advance their career goal in digital marketing. Individuals who want to develop and implement online marketing projects. Start Ups. Students. Marketers. Web designers. Entrepreneurs. 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. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, 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 hard copy at a cost of £39 or in PDF format at a 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: Advanced Digital Marketing Course is a useful qualification to possess, and would be beneficial for the following professionals: Social marketing manager. Digital marketing specialist. Digital marketing executive. Digital marketing officer. Digital marketing analyst. Digital client service. SEO leader. Much more. Advanced Digital Marketing Course - New version Module 01: Fundamentals of Digital Marketing Fundamentals of Digital Marketing 00:45:00 Module 02: Growth Hacking Growth Hacking 00:34:00 Module 03: Customer Journey Customer Journey 00:35:00 Module 04: Content Marketing Content Marketing 00:36:00 Module 05: SEO Search Engine Optimisation 00:40:00 Module 06: E-Mail Marketing E-Mail Marketing 00:45:00 Module 07: Facebook Marketing Facebook Marketing 00:43:00 Module 08: Instagram Marketing Instagram Marketing 00:46:00 Module 09: Twitter Marketing Twitter Marketing 00:37:00 Module 10: Youtube Marketing Youtube Marketing 00:36:00 Module 11: Mobile Marketing Mobile Marketing 00:35:00 Advanced Digital Marketing Course - Old Version Digital Marketing Introduction to Internet Marketing and Reputation Management 00:30:00 How to Optimise Your Site for Every Stage of the Buy Cycle 00:30:00 Build Impression on Your Site 00:30:00 Types of Link Building 01:00:00 Importance of Landing Pages 00:30:00 Difference Between Internet Marketing and Online Customer Service 01:00:00 Concept Of Affiliate Programs 01:30:00 About Of Google Analytics 01:00:00 Online Press Releases 00:15:00 How to Get Traffic from Twitter 00:30:00 Importance of Testing E-Mail Messages 00:15:00 What is Viral Marketing 01:00:00 What is EMail Marketing 00:30:00 Difference Between Images and Video 00:15:00 How to Internet Marketing on Facebook 02:00:00 What is Search Engine Optimization(SEO)? 00:30:00 Understanding Search Results 00:15:00 How to Attract Customer on Your Product? 00:15:00 Time Makes Money 00:30:00 How to Test a Landing Page 00:30:00 Best Web Writing 01:00:00 Ways to Use of Humor in You Internet Marketing 00:15:00 Coupon Codes 00:15:00 When to Pull the Plug 00:15:00 Search Engine Optimization What Is Search Engine Optimization? 01:00:00 Search Engines That Use SEO 01:00:00 Using SEO In Website Text 01:00:00 Using SEO For Google Ads 01:00:00 Using SEO For Article Marketing 01:00:00 Using SEO In Press Releases 00:30:00 Using Longtail Keywords 00:30:00 Using Google To Discover The Best Keywords 00:30:00 SEO For Video Ads 00:30:00 SEO In Photos 00:30:00 Blogging With SEO Marketing 01:00:00 Using A SEO Company 01:00:00 Email Marketing Introduction to Email Marketing 00:30:00 Using Email Marketing Software 00:30:00 Building Email Lists by Quantity 00:30:00 Building Email Lists by Quality 00:30:00 Crafting an Email 01:00:00 Analyzing and Tracking Your Email Marketing Strategy 00:30:00 Facebook Marketing Basics Introduction to Facebook 00:15:00 Why You Should Care 00:15:00 Setting up a Facebook Page 00:30:00 How to Get More Likes for Your Facebook Page 00:30:00 Facebook Advertising 00:30:00 How Much Does Facebook Advertising Cost? 00:30:00 Marketing on Facebook 01:00:00 Create a Content Calendar 00:15:00 Understanding Edge Rank & the Art of Engagement 00:15:00 Twitter Marketing TWITTER FOR BUSINESS 00:15:00 TOP TWITTER TIPS 00:15:00 TWITTER IS 00:15:00 BUSINESS TERMS 00:15:00 WHY USE TWITTER FOR MARKETING 00:15:00 TWITTER MARKETING BASICS 01:00:00 TWITTER METRICS 00:30:00 YOUR BIO 00:15:00 WHEN TO TWEET 00:15:00 BUILDING YOUR COMMUNITY 00:15:00 GENERATING LEADS 00:15:00 REAL-TIME TWITTER MARKETING 00:15:00 ENGAGEMENT 00:15:00 TWETIQUETTE (TWEETING ETIQUETTE) 00:15:00 Instagram Marketing What is Instagram? 00:15:00 Instagram for Business 00:15:00 Instagram & Community 00:15:00 Pinterest Social Marketing Introduction 00:30:00 How to Use Pinterest 01:00:00 How to Win the Hearts of the Target Audience on Pinterest 01:00:00 Understanding Pinterest Etiquette 00:30:00 Marketing Strategies to Build Your Brand and Your Followers 02:00:00 Monetizing Pinterest through Market Hunting 01:00:00 Pinterest Tools to Use in Your Marketing Arsenal 00:15:00 Conclusion 00:15:00 Google Adwords Benefits of online advertising and AdWords 00:30:00 Choosing a campaign type 00:30:00 Measure your results 00:30:00 YouTube Video Marketing Create the Perfect YouTube Marketing Video: 5 Tips To Get it Right 00:30:00 YouTube Video Marketing Tips: Join the Community 01:00:00 Marketing Your Product On YouTube: 10 Reasons Why You Should Do It 00:30:00 YouTube Marketing Tips: Promoting Your Perfect Marketing Video 01:00:00 Unique Things You Can Do with Your YouTube Marketing Video 01:00:00 Using YouTube to Market Your Product: Should You Hire a Professional? 01:00:00 Niche Targeted Playlists: Boost Your YouTube Marketing Video 01:00:00 Promote Your Perfect YouTube Marketing Video For Free: Here's How to Do It 00:30:00 Viral Marketing Tips for Your YouTube Video 01:00:00 Using Viral Content: Creating Your Perfect YouTube Marketing Video 02:00:00 YouTube Marketing Secrets-Promote Your Product or Business! 01:00:00 Use YouTube to Create Unlimited Sales for your Business 01:00:00 Choose Your Niche: An Important Step in Your YouTube Marketing Video 01:00:00 Using Viral Content: Creating Your Perfect YouTube Marketing Video 02:00:00 YouTube Marketing Tactics: Are These Products Helpful or Scams? 01:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Advanced Digital Marketing Course 00:20:00 Final Exam Final Exam- Advanced Digital Marketing Course 00:20:00 Order Your Certificate and transcript Order Your Certificates and Transcripts 00:00:00
Course Overview Amp up your project management skills to meet your project requirements and shape your organisation's success. Project managers are responsible for the successful planning and execution of projects. This Academic IELTS Test Preparation Course is designed to help you learn the proven project management skills and techniques to manage projects from beginning to end. The course will give you clear ideas on project management basics, different project types, and the techniques applied to project activities for successful project completion. During the course, you'll gain insights into project management steps, such as project initiation, execution, monitoring, and closing. On top of that, you'll explore the steps involved in project team building and acquire knowledge of earned value management to measure project performance. Learning Outcomes Discover the crucial steps to project success Familiarise yourself with different types of projects Identify the steps involved in project initiation, execution, monitoring and closing Understand what makes a successful project management team Learn about Earned Value Management (EVM) for project performance measurement Determine what is a change control process in project management Who is the Academic IELTS Test Preparation Course for? This Academic IELTS Test Preparation Course is perfect for aspiring professionals in the relevant industry, such as people with careers in: Project Manager Project Executive Project Administrator Project Co-ordinator Project Lead It will deepen their knowledge and help them establish the fundamental skills for project management. Why Choose this Diploma in Academic IELTS Test Preparation Course ? Affordable, well-structured and high-quality e-learning study materials Engaging tutorial videos, materials from the industry-leading experts Opportunity to study in a user-friendly, advanced online learning platform Efficient exam systems for the assessment and instant result The UK & internationally recognised accredited qualification Access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities 24/7 student support via email. Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. A good understanding of the English language, numeracy, and ICT are required to attend this course. Assessment At the end of the course, you will be required to sit for an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. However, you can also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Section 01: Introduction Welcome Aboard 00:09:00 Fundamentals 00:33:00 Types of Questions 00:24:00 Section 02: How to Answer 'Always In Order' Question How to Answer Fill-in-the Blank Questions 00:30:00 Fill-in-the-Blank: Practice Set 1 00:24:00 Fill-in-the-Blank: Practice Set 2 00:22:00 How to Answer Short Answer Questions 00:24:00 Short Answer: Practice Set 1 00:29:00 Short Answer: Practice Set 2 00:24:00 How to Answer Yes/No/Not Given Questions 00:27:00 Yes/No/Not Given: Practice Set 1 00:34:00 Yes/No/Not Given: Practice Set 2 00:31:00 How to Answer Multiple Choice Questions 00:18:00 Multiple Choice: Practice Set 1 00:19:00 Multiple Choice: Practice Set 2 00:21:00 Section 03: How to Answer 'Mostly in Order' Questions How to Answer Sentence Completion Questions 00:18:00 Sentence Completion: Practice Set 1 00:14:00 Sentence Completion: Practice Set 2 00:17:00 How to Answer Table Questions 00:25:00 Table: Practice Set 1 00:16:00 Table: Practice Set 2 00:30:00 How to Answer Diagram Questions 00:22:00 Diagram: Practice Set 1 00:17:00 Diagram: Practice Set 2 00:12:00 How to Answer Flowchart Questions 00:16:00 Flowchart: Practice Set 1 00:20:00 Flowchart: Practice Set 2 00:29:00 How to Answer Summary Questions 00:26:00 Summary: Practice Set 1 00:27:00 Summary: Practice Set 2 00:27:00 Section 04: How to Answer 'Not in Order' Questions How to Answer Matching Questions 00:21:00 Matching: Practice Set 1 00:17:00 Matching: Practice Set 2 00:24:00 How to Answer Paragraph Location Questions 00:18:00 Paragraph Location: Practice Set 1 00:29:00 Paragraph Location: Practice Set 2 00:21:00 How to Answer Headings Questions 00:23:00 Headings: Practice Set 1 00:22:00 Headings: Practice Set 2 00:18:00 How to Answer Pick from List Questions 00:29:00 Pick From List: Practice Set 1 00:16:00 Pick From List: Practice Set 2 00:27:00 Section 05: How to Answer Reading Passages from Start to Finish Full Reading Test - Passage 1 00:36:00 Full Reading Test - Passage 2 00:36:00 Full Reading Test - Passage 3 00:02:00 Final Tips 00:11:00 Assignment Assignment - Academic IELTS Test Preparation Course 00:00:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00
Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00
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This comprehensive course is designed to transform individuals into skilled chefs, equipping them not only with culinary expertise but also management proficiency in the kitchen and restaurant settings. Covering a wide range of topics from fundamental cooking skills and recipe creation to kitchen management, food business basics, and restaurant management, participants will gain a holistic understanding of the culinary world. The course also includes a bonus of 20 diverse recipes to enhance practical cooking skills. Learning Outcomes: Master essential cooking and food preparation skills. Develop a deep understanding of kitchen equipment and tools. Learn about different cooking styles and cuisines. Understand the qualities and traits of successful chefs. Gain proficiency in outdoor cooking, baking, and vegetarian cooking. Acquire knowledge in managing restaurant operations effectively. Learn marketing strategies and quality control in the food business. Enhance culinary creativity through a variety of recipes. Why buy this Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes course is ideal for Aspiring chefs looking to establish a strong culinary foundation. Individuals interested in pursuing a career in restaurant management. Cooks and food enthusiasts aiming to refine their skills. Culinary professionals seeking to expand their expertise. Prerequisites This Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes 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. Career path Line Cook - Average Salary: £18,000 - £24,000 per year. Sous Chef - Average Salary: £25,000 - £35,000 per year. Head Chef - Average Salary: £30,000 - £45,000 per year. Executive Chef - Average Salary: £40,000 - £60,000 per year. Restaurant Manager - Average Salary: £25,000 - £40,000 per year. Course Curriculum Becoming a Chef Can TV Chefs Teach You To Cook? 00:30:00 Improving Cooking And Food Preparation Skills 00:15:00 Catering To Unique Tastes 00:30:00 Qualities Of A Successful Chef 00:30:00 Achieve Perfection As A Saucier 00:30:00 Becoming The Perfect Chef 01:00:00 Equipment For Perfect Chefs 00:30:00 How To Become The Perfect Chef: Attending School 00:30:00 The Keys To Getting and Using Feedback 00:30:00 What Can You Do With A Culinary Degree 01:00:00 Knife Skills For The Perfect Chef 00:30:00 Making Meals Easy to Eat Healthy 00:30:00 Plating for the At Home Chef 00:30:00 Perfect Chefs Choose A Speciality 00:30:00 Finding Local Cooking Classes 00:30:00 How Can You Become a Professional Chef 00:30:00 The Physical Qualities of the Perfect Chef 00:15:00 The Importance of Testing Recipes 00:15:00 The Chefs Important Baking Tools 01:00:00 The Learning Curve To Becoming The Perfect Chef 00:15:00 The Job of a Professional Chef 00:30:00 The Mix of Sweet, Spicy and Savory 00:30:00 The Perfect At Home Chef 00:30:00 The Perfect Chef Opens A Restaurant 00:15:00 The Physical Demand of Being a Chef 00:15:00 Kitchen Management Buying Kitchen Equipment: Tips And Tricks To Save Money 01:00:00 The Well Equipped Kitchen 00:15:00 Take Inventory 01:00:00 Be Wary Of The Latest Trends 01:00:00 Inexpensive Vs. Cheap 00:15:00 Needing Vs. Wanting 01:00:00 Comparison Shopping 01:00:00 How To Find The Best Deals 01:00:00 Secrets Of Outdoor Cooking Recipes 01:00:00 Once A Month Cooking Recipes 00:15:00 Mother's Day Cooking Made Easy 01:00:00 Mardi Gras Cooking Cajun Style 00:30:00 Learn To Cook Italian Food On Vacation 01:00:00 Cooking With A Dutch Oven 01:00:00 Recipes Of Italian Vegetarian Cooking 01:00:00 Home Cooking Network: An Array Of Recipes 00:30:00 America's Home Cooking: The Television Program 01:00:00 A Wonderful Experience With Outdoor Cooking Burners 00:30:00 Cooking For Sunday Dinner 01:00:00 Healthy Cooking Oils 01:00:00 Cooking Cajun Food 01:00:00 Paula's Home Cooking Recipes 00:30:00 The Importance Of Eating A Healthful Vegetarian Diet 01:00:00 Italian Food On A Date 00:30:00 The History Of Pasta In Italian Food 01:00:00 Review Of Different Vegetarian Cooking Shows 00:30:00 Italian Cooking Brochutto 01:00:00 Cooking Christmas Cookies 01:00:00 Back To Beginning For President's Day Cooking 00:30:00 Microwave Bacon Cooking Equipment 00:30:00 Cheap Italian Food In Milan 01:00:00 Chinese Cooking Wok 01:00:00 7 Useful Cooking Tips And Hints 01:00:00 Down Home Cooking 00:30:00 Italian Cooking School 00:30:00 Cooking Games 00:30:00 Italian Cooking Recipes 00:30:00 French Cooking Holidays 00:30:00 Managing Restaurant Food Business Basics 01:00:00 Put Together Your Business Concept 00:30:00 Identify your Target Market 00:30:00 Identify Your Competition 00:30:00 Write A Mission Statement 00:30:00 Downline Basics 00:30:00 Equipment And Supplies 00:30:00 Marketing And Quality Control 00:30:00 Wrapping Up 00:15:00 Recipes Recipe - I 01:00:00 Recipe - II 01:00:00 Recipe - III 01:00:00 Recipe - IV 01:00:00 Recipe - V 01:00:00 Recipe - VI 00:10:00 Recipe - VII 00:10:00 Recipe - VIII 00:12:00 Recipe - IX 00:10:00 Recipe - X 00:15:00 Recipe - XI 00:30:00 Recipe - XII 00:30:00 Recipe - XIII 00:15:00 Recipe - XIV 00:30:00 Recipe - XV 00:30:00 Recipe - XVI 00:10:00 Recipe -XVII 00:15:00 Recipe -XVIII 00:15:00 Recipe -XIX 00:13:00 Recipe -XX 00:10:00 Recommended Reading Recommended Reading: Professional Cooking, Kitchen and Restaurant Management 00:00:00 Mock Exam Mock Exam- Professional Cooking, Kitchen and Restaurant Management 00:20:00 Final Exam Final Exam- Professional Cooking, Kitchen and Restaurant Management 00:20:00
Description Register on the Deep Learning & Neural Networks Python - Keras today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Deep Learning & Neural Networks Python - Keras course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Course Content Course Introduction And Table Of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML Or DL For The Next AI Project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation And Sample Program To Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow Library Installation And Sample Program To Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation And Switching Theano And TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps And Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network With Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training And Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding The Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - K-Fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing The Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding The Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing The Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning For Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding The Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing The Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement By Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement By Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement By Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load The Trained Model As JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save And Load Model As YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load And Predict Using The Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load And Predict Using The Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load And Predict Using The Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load And Predict Using The Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction To Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading The Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule Using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Handwritten Digit Recognition Dataset MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model Using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN Using MNIST Large CNN using MNIST 00:09:00 Load And Predict Using The MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction To Image Augmentation Using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation Using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation Using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation Using Rotation And Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding And Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN Using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train And Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load And Predict Using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00
Course Overview Be fully prepared for the IELTS writing test and develop your English grammar skills, with the IELTS Writing Task 1 Complete Guide. This course is ideal for anyone looking to enhance their English writing skills, as well as IELTS Teachers who wish to improve their teaching methods. In this instructor-led training course, you will be taken through the format of the IELTS assessment, as well as the kinds of questions you will need to answer. It will teach what to expect from the exam, and help you to develop learning strategies for approaching different test questions. By the end of this course, you will feel much more confident in writing English, and will have a much more developed vocabulary. You will be able to apply the techniques and best practices learned in this course to write using complex sentences, complying with grammar and punctuation rules. This best selling IELTS Writing Task 1 Complete Guide has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth IELTS Writing Task 1 Complete Guide is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The IELTS Writing Task 1 Complete Guide is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The IELTS Writing Task 1 Complete Guide is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the IELTS Writing Task 1 Complete Guide, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the IELTS Writing Task 1 Complete Guide will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the IELTS Writing Task 1 Complete Guide to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
Description The Professional Chef Training training course is delivered through Janets' online learning platform. Access the Professional Chef Training content from any internet-enabled device whenever or wherever you want to. The Professional Chef Training course has no formal teaching deadlines, meaning you are free to complete the course at your own pace. Follow your dreams by enrolling on the Professional Chef Training course today and develop the experience, skills and knowledge you need to enhance your professional development. Professional Chef Training will help you arm yourself with the qualities you need to work towards your dream job. Study the Professional Chef Training training course online with Janets through our online learning platform and take the first steps towards a successful long-term career. The Professional Chef Training course will allow you to enhance your CV, impress potential employers, and stand out from the crowd. This Professional Chef Training course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Study the Professional Chef Training course through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the Professional Chef Training course, to ensure you are supported every step of the way. Get a digital certificate as proof of your Professional Chef Training course completion. Janets is one of the top online training course providers in the UK, and we want to make education accessible to everyone! Learn the essential skills you need to succeed and build a better future for yourself with the Professional Chef Training course. The Professional Chef Training course is designed by industry experts and is tailored to help you learn new skills with ease. The Professional Chef Training is incredibly great value and allows you to study at your own pace. With full course access for one year, you can complete the Professional Chef Training when it suits you. Access the Professional Chef Training course modules from any internet-enabled device, including computers, tablets, and smartphones. The Professional Chef Training course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the Professional Chef Training now and start learning instantly! What You Get Out Of Studying Retail Management & Merchandising With Janets: Receive a digital Certificate upon successful completion of the Professional Chef Training course Get taught by experienced, expert instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who Is This Course For: The Professional Chef Training is ideal for those who already work in this sector or are an aspiring expert. This Professional Chef Training course is designed to enhance your expertise and boost your CV. Learn key skills and gain an expert lesson to prove your newly-acquired knowledge. Requirements: The Professional Chef Training is open to all students and has no formal entry requirements. To study the Professional Chef Training course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Career Path: The Professional Chef Training is ideal for anyone who wants to pursue their dream career in a relevant industry. Learn the skills you need to boost your CV and go after the job you want. Complete the Professional Chef Training and gain an industry-acknowledged lesson that will help you excel in finding your ideal job. Course Content Cooking (Chef) Course Can TV Chefs Teach You To Cook? 00:05:00 Improving Cooking And Food Preparation Skills 00:05:00 Catering To Unique Tastes 00:30:00 Qualities Of A Successful Chef 00:30:00 Achieve Perfection As A Saucier 00:05:00 Becoming The Perfect Chef 00:25:00 Equipment For Perfect Chefs 00:15:00 How To Become The Perfect Chef: Attending School 00:05:00 The Keys To Getting and Using Feedback 00:05:00 What Can You Do With A Culinary Degree 00:20:00 Knife Skills For The Perfect Chef 00:10:00 Making Meals Easy to Eat Healthy 00:05:00 Plating for the At Home Chef 00:10:00 Perfect Chefs Choose A Speciality 00:05:00 Finding Local Cooking Classes 00:05:00 How Can You Become a Professional Chef 00:10:00 The Physical Qualities of the Perfect Chef 00:05:00 The Importance of Testing Recipes 00:05:00 The Chefs Important Baking Tools 00:25:00 The Learning Curve To Becoming The Perfect Chef 00:05:00 The Job of a Professional Chef 00:05:00 The Mix of Sweet, Spicy and Savory 00:05:00 The Perfect At Home Chef 00:10:00 The Perfect Chef Opens A Restaurant 00:05:00 The Physical Demand of Being a Chef 00:05:00 Recipes Recipe - I 00:10:00 Recipe - II 00:10:00 Recipe - III 00:10:00 Recipe - IV 00:10:00 Recipe - V 00:10:00 Recipe - VI 00:10:00 Recipe - VII 00:10:00 Recipe - VIII 00:10:00 Recipe - IX 00:10:00 Recipe - X 00:10:00 Recipe - XI 00:10:00 Recipe - XII 00:15:00 Recipe - XIII 00:10:00 Recipe - XIV 00:10:00 Recipe - XV 00:10:00 Recipe - XVI 00:10:00 Recipe -XVII 00:15:00 Recipe -XVIII 00:10:00 Recipe -XIX 00:10:00 Recipe -XX 00:10:00 Recipe-XXI 01:00:00 Recipe-XXII 01:00:00 Recipe-XXIII 01:00:00 Recipe-XXIV 01:00:00 Recipe-XXV 01:00:00 Recipe-XXVI 01:00:00 Recipe-XXVII 01:00:00 Recipe-XXVIII 01:00:00 Recipe-XXIX 01:00:00 Recipe-XXX 01:00:00 Recipe-XXXI 01:00:00 Recipe-XXXII 01:00:00 Recipe-XXXIII 01:00:00 Recipe-XXXIV 01:00:00 Recipe-XXXV 01:00:00 Recipe-XXXVI 01:00:00 Recommended Reading Recommended Reading : Chef Essential Training 00:00:00 Mock Exam Mock Exam - Chef Essential Training 00:20:00 Final Exam Final Exam - Chef Essential Training 00:20:00 Assignment Assignment - Professional Chef Training 3 weeks, 3 days Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.