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Dive deeper into the world of mathematics with our 'Advanced Mathematics' course. Explore complex concepts and problem-solving techniques that will challenge and expand your mathematical proficiency. Whether you're a student aiming for higher academic achievements or a professional seeking to strengthen your analytical skills, this course will equip you with the knowledge and tools to excel. Enroll now and unlock the next level of mathematical understanding and capability.

Overview This comprehensive course on Spatial Data Visualization and Machine Learning in Python Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Spatial Data Visualization and Machine Learning in Python Level 4 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? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Spatial Data Visualization and Machine Learning in Python Level 4. It is available to all students, of all academic backgrounds. Requirements Our Spatial Data Visualization and Machine Learning in Python Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 8 sections • 21 lectures • 04:40:00 total length •Introduction: 00:14:00 •Python Installation: 00:03:00 •Installing Bokeh: 00:04:00 •Data Preparation: 00:24:00 •Creating a Bar Chart: 00:18:00 •Creating a Line Chart: 00:12:00 •Creating a Doughnut Chart: 00:22:00 •Creating a Magnitude Plot: 00:31:00 •Creating a Geo Map Plot: 00:20:00 •Creating a Grid Plot: 00:12:00 •Data Pre-processing: 00:21:00 •Building a Predictive Model: 00:21:00 •Building a Prediction Dataset: 00:07:00 •Adding predicted data to our plots - Part 1: 00:13:00 •Adding predicted data to our plots - Part 2: 00:14:00 •Adding predicted data to our plots - Part 3: 00:15:00 •Adding the Grid Plot: 00:08:00 •Installing Visual Studio Code: 00:01:00 •Creating the Project and Virtual Environment: 00:08:00 •Building and Running the Server: 00:12:00 •Resources: 00:00:00

Overview This comprehensive course on Data Science with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science with Python comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 3 sections • 6 lectures • 01:15:00 total length •Module 01: Introduction to Python Data Science: 00:03:00 •Module 02: Environment Setup: 00:10:00 •Module 01: Numpy package for calculations: 00:16:00 •Module 02: Panda package for Data cleaning: 00:19:00 •Module 01: Matplotlib Data Visualization Part 1: 00:16:00 •Module 02: Matplotlib Data Visualization Part 2: 00:11:00

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

Get started with using linear algebra in your data science projects

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Trigonometry for Electrical Engineering Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Trigonometry for Electrical Engineering Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Trigonometry for Electrical Engineering Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Trigonometry for Electrical Engineering Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Trigonometry for Electrical Engineering? 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 Trigonometry for Electrical Engineering there will be a written assignment test which you can take either during or at the end of the course. 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 Trigonometry for Electrical Engineering course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Trigonometry for Electrical Engineering does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Trigonometry for Electrical Engineering 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Trigonometry for Electrical Engineering is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Trigonometry for Electrical Engineering Module 01: Introduction 00:08:00 Module 02: Point Lines & Angles 00:13:00 Module 03: Intersecting & Parallel Lines Triangles 00:11:00 Module 04: Triangles 00:22:00 Module 05: The Pythagorean Theorem 00:10:00 Module 06: Unique Triangles & Ratios 00:13:00 Module 07: Trig Functions & Tangents 00:34:00 Module 08: The Unit Circle 01:20:00 Module 09: Trig Identities 00:42:00 Module 10: Product to Sum Formulas 00:23:00 Module 11: Double & Half Angle Formulas 00:32:00 Module 12: Trig Functions in the Time Domain 00:17:00 Assignment Assignment - Trigonometry for Electrical Engineering 00:00:00

Throughout this course, you will learn everything you need to know about linear and non-linear regression, regression modeling, and Stata. By the end of this course, you will be able to understand and be confident in interpreting complex types of data using Stata.

Course Title: Trigonometry for Electrical Engineering   Overview: Unlock the Power of Trigonometry in Electrical Engineering! Are you ready to elevate your understanding of trigonometry and apply it directly to the field of Electrical Engineering? Our comprehensive course, 'Trigonometry for Electrical Engineering,' is meticulously designed to empower aspiring and seasoned electrical engineers alike, providing a deep dive into the fundamental principles of trigonometry and its practical applications in the realm of electrical systems.   Key Features: Relevance to Electrical Engineering:Tailored specifically for electrical engineering professionals and students, this course focuses on real-world applications of trigonometry in electrical circuits, signal processing, and communication systems. Practical Problem Solving:Gain hands-on experience by solving practical problems and exercises designed to bridge the gap between theoretical knowledge and real-world scenarios encountered in electrical engineering projects. Comprehensive Curriculum:Covering essential trigonometric concepts such as sine, cosine, tangent, and their applications in AC circuits, phasors, and impedance, this course ensures a thorough understanding of trigonometry within an electrical engineering context. Interactive Learning:Engage with dynamic and interactive learning materials, including video lectures, simulations, and quizzes, to reinforce your understanding and foster a practical approach to problem-solving. Industry-Experienced Instructors:Learn from seasoned electrical engineers who bring a wealth of industry experience, sharing insights and best practices to help you apply trigonometric concepts effectively in your professional endeavors. Project-Based Assessments:Showcase your skills through project-based assessments that simulate real-world challenges in electrical engineering, allowing you to demonstrate your mastery of trigonometry in practical applications. Flexible Learning Schedule:Access course materials at your own pace, enabling you to balance your professional commitments while advancing your knowledge in trigonometry for electrical engineering.   Who Should Enroll: Electrical engineering students seeking a comprehensive understanding of trigonometry. Electrical engineers looking to strengthen their skills and enhance problem-solving capabilities. Professionals working in related fields interested in applying trigonometry to electrical systems.   Take the Next Step: Enroll in 'Trigonometry for Electrical Engineering' today and unlock the potential to excel in your electrical engineering career. Whether you're a student aspiring to build a strong foundation or a seasoned professional aiming to stay at the forefront of industry advancements, this course is your gateway to mastering trigonometry in the context of electrical engineering. Don't miss out on this opportunity to elevate your skills and open doors to new possibilities in the dynamic field of electrical engineering! Course Curriculum Introduction To trigonometry For Electrical Engineering Course Introduction To trigonometry For Electrical Engineering Course 00:00 Point Lines Angles Point Lines Angles 00:00 Intersecting Parallel Lines Triangles Intersecting Parallel Lines Triangles 00:00 Triangles Triangles 00:00 The Pythagorean Theorem The Pythagorean Theorem 00:00 Unique Triangles Ratios Unique Triangles Ratios 00:00 Trig Functions Tangents Trig Functions Tangents 00:00 The Unit Circle The Unit Circle 00:00 Trig Identities Trig Identities 00:00 Trig Identities Trig Identities 00:00 Double Half Angle Formulas Double Half Angle Formulas 00:00 Trig Functions In The Time Domain Draft Lesson 00:00

***Don't Let Language Hold You Back: Master Functional Skills English Today*** Did you know strong Functional Skills in English are essential for success in 9 out of 10 jobs [Source: Skills Network]? This Level 3 Certificate in Functional Skills English course can equip you with the communication skills you need to excel in work, education, and everyday life. This comprehensive Level 3 Certificate in Functional Skills English course provides a strong foundation in the key areas of Functional Skills English. You'll develop a deep understanding of grammar, vocabulary, sentence structure, and punctuation, all delivered in a clear and engaging manner. Level 3 Certificate in Functional Skills English Learning Outcomes: Master grammar, punctuation, and vocabulary to enhance communication. Develop proficient reading, writing, listening, and speaking skills. Acquire clarity in pronunciation for effective verbal expression. Understand and implement effective teaching strategies for English language proficiency. Cultivate confidence and competence in using English in diverse contexts. Navigate the complexities of linguistics with ease and finesse. ***The Level 3 Certificate in Functional Skills English is endorsed by the Quality Licence Scheme (QLS), which ensures it meets high-quality standards.*** This Level 3 Certificate in Functional Skills English takes a structured approach to language learning. You'll delve into the fundamentals of sentence construction, exploring different structures and mastering the art of crafting clear and impactful questions. The course also dedicates time to mastering the nuances of punctuation and capitalization, ensuring your written communication is polished and professional. Furthermore, the course emphasizes the development of both receptive and productive skills. The Level 3 Certificate in Functional Skills English Includes: Module 01: Linguistics Module 02: Teaching Grammar and Vocabulary Module 03: The Basics of Sentence Module 04: Structure of Sentence Module 05: Questions Module 06: Punctuation and Capitalisation Module 07: Spelling Module 08: English Pronunciation Module 09: Teaching Receptive Skills: Reading Module 10: Teaching Productive Skills: Writing Module 11: Teaching Receptive Skills: Listening Module 12: Teaching Productive Skills: Speaking Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the Functional Skills English course as proof of their achievement. You can order the endorsed certificate for Free to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS), a UK-based organisation that sets standards for non-regulated training and learning, has endorsed this Functional Skills English course for its high-quality, non-regulated provision and training programmes. This endorsement means that the Functional Skills English course has been reviewed and approved by the QLS and meets the highest quality standards. Who is this course for? Level 3 Certificate in Functional Skills English The Level 3 Certificate in Functional Skills English is designed for individuals seeking to enhance their skills and knowledge in the dynamic field of Functional Skills English like - English Language Tutor Content Writer Copywriter Language Specialist Communications Officer English Language Instructor Functional Skills Qualification in English at Level 1 Functional Skills Qualification in English at Entry Level 1 Functional Skills Qualification in English at Entry 2 Functional Skills Qualification in English at Entry Level 2 Functional Skills Qualification in English at Entry Level 3 Requirements Level 3 Certificate in Functional Skills English To enrol in this Level 3 Certificate in Functional Skills English course, all you need is a basic understanding of the English Language and an internet connection. Career path Level 3 Certificate in Functional Skills English Welcome to a realm of boundless opportunities! Explore diverse career paths after completing this Level 3 Certificate in Functional Skills English course. Embrace the journey ahead in Functional Skills English. English Language Tutor Content Writer Copywriter Language Specialist Communications Officer Certificates CPD Accredited PDF Certificate Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - £9.99 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Overview This comprehensive course on Math Tricks & Shortcuts will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Math Tricks & Shortcuts 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 Math Tricks & Shortcuts. It is available to all students, of all academic backgrounds. Requirements Our Math Tricks & Shortcuts is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path 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 15 sections • 90 lectures • 14:24:00 total length •Lecture 1 Introduction: 00:02:00 •Lecture 2 Lines and Angles (Basics): 00:07:00 •Lecture 3 Parallel lines (Basics): 00:06:00 •Lecture 4 Practice Problems 1 (Lines and Angles): 00:06:00 •Lecture 5 Triangles (Basics): 00:11:00 •Lecture 6 Practice Problems 2 (angle sum and exterior angle Property): 00:10:00 •Lecture 7 Pythagoras Theorem: 00:13:00 •Lecture 8 Inequalities in Triangles: 00:06:00 •Lecture 9 Sine and Cosine Rule: 00:12:00 •Lecture 10 Median, Altitude, Angle bisector: 00:06:00 •Lecture 11 Practice Problems 3: 00:11:00 •Lecture 12 Properties of Medians: 00:09:00 •Lecture 13 Practice Problems 4: 00:07:00 •Lecture 14 Properties of Equilateral Triangles: 00:04:00 •Lecture 15 Some special Quadrilaterals: 00:08:00 •Lecture 16 Polygons-interior angles, diagonals etc.: 00:08:00 •Lecture 17 Angle Bisector Theorem: 00:07:00 •Lecture 18 Congruent Triangles: 00:06:00 •Lecture 19 Similar Triangles: 00:14:00 •Lecture 20 Practice Problems 5: 00:10:00 •Lecture 21 Circle: 00:10:00 •Lecture 22 Cyclic Quadrilateral _ Tangent to circle: 00:07:00 •Lecture 23 Areas of Parallelogram & Triangle 1: 00:10:00 •Lecture 24 Areas of Parallelogram _ Triangle 2: 00:10:00 •Lecture 25 Practice Problems based on Areas 1: 00:05:00 •Lecture 26 Practice Problems based on Areas 2: 00:12:00 •Lecture 27 Mensuration Formulae: 00:07:00 •Lecture 28 Practice problems on 2-d figures: 00:11:00 •Lecture 29 Assignment (Video) on 2 - d figure: 00:02:00 •Lecture 30 Areas related to the circle: 00:06:00 •Lecture 31 Practice questions on areas related to circle: 00:10:00 •Practice Test (Geometry): 00:02:00 •Lecture 32 What is Unit Digit: 00:04:00 •Lecture 33 How to find unit digit of numbers with exponents: 00:10:00 •Lecture 34 Practice Problems based on Unit Digit: 00:08:00 •Lecture 35 Simplifications based on Percentages: 00:11:00 •Lecture 36 Simplification based on Exponents: 00:12:00 •Lecture 37 Fastest method of finding square roots: 00:12:00 •Lecture 38 Fastest method of finding cube roots: 00:03:00 •Lecture 39 Simplification based on square and cube roots: 00:16:00 •Lecture 40 Simplification Problems: 00:26:00 •Lecture 41 Simplification problems Type 1: 00:08:00 •Lecture 42 Simplification problems Type 2: 00:08:00 •Lecture 43 Simplification problems Type 3: 00:08:00 •Lecture 44 Simplification problems Type 4: 00:07:00 •Lecture 45 Finding smallest and greatest from difficult exponents: 00:08:00 •Lecture 46 What is Digital sum: 00:05:00 •Lecture 47 How to apply Digital sum technique in different operations: 00:14:00 •Lecture 48 Simplification problems using Digital sum -1: 00:07:00 •Lecture 49 Simplification problems using Digital sum -2: 00:06:00 •Lecture 50 Resources download 1: 00:48:00 •Lecture 51 Problems based on persons, days, work and hours: 00:12:00 •Lecture 52 Short cut formulas for most common problems: 00:11:00 •Lecture 53 Problems based on Two Persons: 00:06:00 •Lecture 54 Problems based on three Persons: 00:10:00 •Lecture 55 Based on Efficiency: 00:13:00 •Lecture 56 Complex problems on Efficiency: 00:10:00 •Lecture 57 Fraction of work: 00:07:00 •Lecture 58 Leaving and Joining - 1: 00:06:00 •Lecture 59 Leaving and Joining - 2: 00:08:00 •Lecture 60 Men, women and boys: 00:05:00 •Lecture 61 Work and wages: 00:11:00 •Lecture 62 Resources download 1: 00:20:00 •Lecture 63 Basics of pipes and cisterns: 00:06:00 •Lecture 64 Pipes and cisterns - Type 1: 00:07:00 •Lecture 65 Pipes and cisterns - Type 2: 00:04:00 •Lecture 66 Pipes and cisterns - Type 3: 00:07:00 •Lecture 67 Pipes and cisterns - Type 4: 00:06:00 •Lecture 68 Pipes and cisterns - Type5: 00:05:00 •Lecture 69 Speed, Distance and Time Resources download: 00:32:00 •Lecture 70 Basic Concepts and simple problems: 00:10:00 •Lecture 71 Problems based on average speed: 00:07:00 •Lecture 72 Problems of finding Distance: 00:13:00 •Lecture 73 Practice Problems 1: 00:10:00 •Lecture 74 Practice Problems 2: 00:08:00 •Lecture 75 Practice Problems 3: 00:07:00 •Lecture 76 Boats and Streams: 00:18:00 •Lecture 77 Basics of Boats and streams: 00:10:00 •Lecture 78 Finding speed of boat or stream: 00:13:00 •Lecture 79 Problems based on finding Distance: 00:06:00 •Lecture 80 Latest Problems on Boat and cisterns: 00:11:00 •Lecture 81 Percentage Basics 1: 00:10:00 •Lecture 82 Percentage Basics 2: 00:04:00 •Lecture 83 Fractional Values of Percentages: 00:09:00 •Lecture 84 Simplification using fractional values of Percentages-1: 00:06:00 •Lecture 85 Simplification problems of Percentage 2: 00:05:00 •Lecture 86 Article for Resources: 00:24:00 •Lecture 87 Problems based on Marks in examination: 00:15:00 •Lecture 88 Problems based on Price and Quantity 1: 00:08:00 •Lecture 89 Problems based on Price and Quantity 2: 00:08:00