You do not need any lectures regarding the importance of Maths and English, do you? To suffice, one is the language of science, and the other is the international language. Unfortunately, we often struggle in both, thanks to the lack of a solid base. Our Learning Maths & English GCSE bundle can give you a firm foundation or help you to pass your GCSE exam with flying colours! This Learning Maths & English GCSE bundle consists of 12 individual courses. This bundle can be primarily divided into two parts. The first part, consisting of six courses, covers fundamentals and advanced mathematics. You will learn the basic concepts of Algebra, high school maths, as well as advanced maths and calculus. The other six courses deal with English language essentials. You will gain an understanding of GCSE English, TESOL, spelling, punctuation, and basics of grammar etc. Moreover, you will learn 200 common English idioms and phrases along with essay writing in English. Be the master of numbers and letters, then? Enrol immediately in this Learning Maths & English GCSE and firm your base. Happy learning! Along with this Learning Maths & English GCSE Course - CPD Accredited course, you will get 11 premium courses, an originalhardcopy, 12 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Learning Maths & English GCSE Course - CPD Accredited Bundle Consists of the following Premium courses: Course 01: Functional Skills Maths Level 2 Course 02: Mathematics Fundamentals Course 03: Algebra Fundamentals Course 04: Calculus Level 1 - Learn Differentiation Course 05: Advanced Mathematics Course 06: High School Math Course 07: GCSE English Course 08: Diploma in TEFL/TESOL Course 09: Functional Skills: English Course 10: English Spelling, Punctuation, and Grammar Basic Course Course 11: 200 Common English Idioms and Phrases Course 12: Essay Writing in English Learning Outcome Upon completion of this Learning Maths & English GCSE bundle, you will be able to - Learn about major mathematical concepts such as Decimal numbers, Rational Numbers, Approximation etc Understand the BODMAS Simplification Rule Consolidate your understanding of fundamental mathematics Learn differential calculus Understand advanced mathematical ideas such as Matrices, Trigonometric Functions and Trigonometric Functions Comprehend the rudiments of English Grasp sentence structure, verb usage, capitalisation and punctuation rules in detail Learn 200 common English idioms and phrases Enrol now in Learning Maths & English GCSE Course - CPD Accredited to advance your career, and use the premium study materials from Apex Learning. Curriculum of the Bundle Course 01: Functional Skills Maths Level 2 Module 1: Numbers and Negative Numbers Module 2: Multiples Factors Module 3: Fractions and Power Module 4: Percentages Module 5: Expressions Module 6: Decimals Module 7: Ratio and Proportion Module 8: Exponents and Radicals Module 9: Graphs Module 10: The Profit and Loss Module 11: Perimeter and Area Module 12: Averages Module 13: Probability Course 02: Mathematics Fundamentals Integers (Directed Numbers) Factors and Multiples Fractions Simplification Rule : BODMAS Decimal numbers Rational Numbers Approximation Estimation and Scientific Notation or Standard form Percentage Ratio and Proportion Unitary Method and its Applications Profit , Loss, discount and Tax Course 03: Algebra Fundamentals Introduction Fundamental concepts on Algebraic Expressions Operations on Algebraic Expressions Indices ( Exponents) Multiplication and Division of Algebraic expressions Brackets in Algebra Linear equations in one variable Algebraic Identities Formula : Change of subject of formula Linear Inequalities Resolve into factors Algebraic Fractions Coordinate axis - points and Line graph System of simultaneous linear equations in two variables Polynomials Quadratic Polynomials Quadratic Equations Course 04: Calculus Level 1 - Learn Differentiation Section 01: Introduction Section 02: Fundamental Rules for Differentiation Section 03: Differentiation of Trigonometric Functions Section 04: Differentiation of Exponential Functions Section 05: Differentiation of Logarithmic Functions Section 06: Revision Section 0on Chain Rule Section 07: Differentiation of inverse Trig Function Section 08: Differentiation of Hyperbolic Trig Functions Section 09: Differentiation of Implicit functions Section 10: Logarithmic Differentiation Section 11: Differentiation of Parametric Functions Section 12: Differentiation of Higher order derivatives Course 05: Advanced Mathematics Unit 01: Introduction Unit 02: Mathematical Logic Unit 03: Matrices Unit 04: Trigonometric Functions Unit 05: Pair of Straight Line Unit 06: Lines & Planes Unit 07: Linear Programming Course 06: High School Math Introduction Functions Quadratic Equations Co-ordinate Geometry Sequence and series Binomial Theorem Differentiation Tangents and Normals Stationary Points & Curve Sketching Second Derivative Test (Maximum & Minimum Points) Simultaneous Linear equations Essential Revision Course 07: GCSE English Module 01: Introduction to GCSE English Module 02: Edexcel English Section A Part 01 Module 03: Edexcel English Section A Part 02 Module 04: Edexcel English Section B Module 05: Edexcel English Section C Module 06: Cambridge English Exercise 1-4 Module 07: Cambridge English Exercise 5 Module 08: Cambridge English Exercise 6 Course 08: Diploma in TEFL/TESOL Module 01: Introduction to English Language Teaching & Learning Module 02: Linguistics Module 03: English Pronunciation Module 04: Teaching Grammar and Vocabulary Module 05: Language Teaching Methodologies Module 06: Teaching Receptive Skills: Reading Module 07: Teaching Productive Skills: Writing Module 08: Teaching Receptive Skills: Listening Module 09: Teaching Productive Skills: Speaking Module 10: Lesson Planning and Creating Materials Module 11: Use of Games and Activities Module 12: Technology in Second Language Teaching & Learning Module 13: Classroom Management and Student Motivation Module 14: Teaching English: Situational Approach Module 15: Professional Development and Employment Course 09: Functional Skills: English Module 1: Introduction to the Course Module 2: Basics of Grammar Module 3: The Basics of Sentence Module 4: Structure of Sentence Module 5: Question Module 6: Punctuation & Capitalisation Module 7: Spelling Module 8: Common Mistakes & Ways to Improve Course 10: English Spelling, Punctuation, and Grammar Basic Course Module 1: Introduction to the Course Module 2: The Basics of Grammar Module 3: The Basics of Sentence Module 4: Structure of Sentence Module 5: Question Module 6: Punctuation and Capitalisation Module 7: Spelling Module 8: Common Mistakes & Ways to Improve Course 11: 200 Common English Idioms and Phrases Section 01: Introduction Section 02: Idioms and Phrases Unit 1 Section 03: Idioms and Phrases Unit 2 Section 04: Idioms and Phrases Unit 3 Section 05: Idioms and Phrases Unit 4 Section 06: Idioms and Phrases Unit 5 Section 07: Idioms and Phrases Unit 6 Section 08: Idioms and Phrases Unit 7 Section 09: Idioms and Phrases Unit 8 Section 10: Idioms and Phrases Unit 9 Section 11: Idioms and Phrases Unit 10 Course 12: 200 Common English Idioms and Phrases Module 01: Introduction Module 02: The Narrative Essay Module 03: The Narrative Essay / part 2 Module 04: Introduction to the Essay 'Shooting an Elephant' Module 05: A reading of 'Shooting an Elephant' Module 06: Discussion on 'Shooting an Elephant' Module 07: Introduction to 2nd Essay - 'Most Important Day' Module 08: A reading - 'Most Important Day' Module 09: Discussion - 'Most Important Day' Module 10: Prompt for your own Narrative Essay CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Learning Maths & English GCSE Course - CPD Accredited bundle. Requirements This Learning Maths & English GCSE Course - CPD Accredited course has been designed to be fully compatible with tablets and smartphones. Career path Building a solid foundation in maths and English will benefit you in every career prospect. Specifically, This Learning Maths & English GCSE course will lead you to some particular career opportunities, such as; Teacher - £30,000 - £41,000 Annually Private Tutor - £20,00 - £25.00 Annually Finance Manager - £50,000 - £60,000 Annually Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Functional Skills Maths Level 2) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.
In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.
This course will be mainly focusing on machine learning algorithms. Throughout this course, we are preparing our machine to make it ready for a prediction test.
This comprehensive deep learning course with Python will start with the basics and work up to advanced topics such as using different frameworks in Python to solve real-world problems and building artificial neural networks with TensorFlow and Keras.
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Highlights of the Course Course Type: Online Learning Duration: 11 Hours 11 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about retail analytics and management Understand the core competencies and principles of retail analytics and management Explore the various areas of retail analytics and management Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert retail manager Retail Analytics In Microsoft Excel Course Master the skills you need to propel your career forward in Microsoft excel. 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Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Course Introduction Introduction 00:03:00 Part 1: Forecasting Basics of Forecasting 00:05:00 Creating Linear Model with Trendlines 00:08:00 1.1 Getting Data Ready For Regression Model Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Univariate analysis and EDD 00:03:00 Discriptive Data Analytics in Excel 00:10:00 Outlier Treatment 00:04:00 Identifying and Treating Outliers in Excel 00:04:00 Missing Value Imputation 00:03:00 Identifying and Treating missing values in Excel 00:04:00 Variable Transformation in Excel 00:03:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy Variable Creation in Excel 00:07:00 Correlation Analysis 00:09:00 Creating Correlation Matrix in Excel 00:08:00 1.2 Forecasting Using Regression Model The Problem Statement 00:01:00 Basic Equations and Ordinary Least Squares (OLS) method 00:08:00 Assessing accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy: RSE and R squared 00:07:00 Creating Simple Linear Regression model 00:02:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting results of Categorical variables 00:05:00 Creating Multiple Linear Regression model 00:07:00 1.3 Handling Special Events Like Holiday Sales Forecasting in presence of special events 00:02:00 Excel: Running Linear Regression using Solver 00:08:00 Excel: Including the impact of Special Events 00:22:00 1.4 Identifying Seasonality & Trend for Forecasting Models to identify Trend & Seasonality 00:06:00 Excel: Additive model to identify Trend & Seasonality 00:09:00 Excel: Multiplicative model to identify Trend & Seasonality 00:06:00 Market Basket Analysis Market Basket and Lift - Introduction 00:08:00 Named Ranges - Excel 00:10:00 Indirect Function - Excel 00:05:00 2-way lift calculation in Excel 00:11:00 2-way lift calculation - Dynamic 00:07:00 2-way lift data table creation 00:07:00 3-way lift calculation 00:19:00 Store Layout optimization using Lift values 00:15:00 RFM (Recency, Frequency, Monetary) Analysis RFM (recency, frequency, monetary) Analysis 00:08:00 RFM Analysis in Excel- Part 1 00:16:00 RFM Analysis in Excel- Part 2 00:12:00 Part 2: Pricing Part 2: Pricing Steps of setting a Pricing policy 00:03:00 Different Pricing Objectives 00:07:00 2.1 Estimating Demand Estimating Demand 00:07:00 Forms of Demand Curve 00:02:00 Excel: Estimating Linear Demand Curve 00:08:00 Excel: Estimating Power Demand curve with Elasticity 00:05:00 Excel: Estimating Power Demand Curve with points 00:03:00 Subjective Demand curve 00:01:00 Excel: Estimating Subjective Demand Curve 00:02:00 2.3 Evaluating Pricing Strategies Price Bundling 00:07:00 Types of Bundling 00:08:00 The Bundling Problem 00:04:00 Excel: Solving Bundling problem Part 1 00:14:00 Excel: Solving Bundling problem Part 2 00:08:00 Non-Linear Pricing Strategies 00:03:00 Excel: Solving Bundling problem (Price Reversal) 00:08:00 3.1 Lifetime Customer Value Lifetime Customer Value - Key concepts 00:09:00 Lifetime Customer Value - Excel model 00:11:00 3.2 Variations And Sensitivity Analysis Sensitivity Analysis in Excel 00:07:00 Variations in finding customer value 00:07:00 Appendix 1: Excel Crash Course Basics 00:08:00 Worksheet Basics 00:16:00 Entering values and Formulas 00:07:00 Data Handling Basics - Cut, Copy and Paste 00:14:00 Saving and Printing - Basics 00:09:00 Basic Formula Operations 00:13:00 Mathematical Formulas 00:19:00 Textual Formulas 00:17:00 Logical Formulas 00:11:00 Date-Time Formulas 00:07:00 Lookup Formulas ( V Lookup, Hlookup, Index-Match ) 00:08:00 Data Tools 00:19:00 Formatting data and tables 00:18:00 Pivot Tables 00:08:00 Advance Excel- Solver, Data tables 00:15:00 Assessment Assessment - Retail Analytics In Microsoft Excel 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
This course starts with the basics of data science and gradually moves towards explaining the concepts of machine learning and various data science algorithms.
You will learn Python-based deep learning and machine learning techniques through this course. With numerous real-world case studies, we will go over all the mathematics needed to master deep learning algorithms. We will study Backpropagation, Feed Forward Network, Artificial Neural Networks, CNN, RNN, Transfer Learning, and more.