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Overview This comprehensive course on Day Trading & Scalping Strategies will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Day Trading & Scalping Strategies 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 Day Trading & Scalping Strategies. It is available to all students, of all academic backgrounds. Requirements Our Day Trading & Scalping Strategies 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 8 sections • 47 lectures • 08:55:00 total length •Introduction to the Course: 00:04:00 •Introduction to Risk Management: 00:02:00 •What is Risk Management?: 00:03:00 •Why Risk Management is So Important: 00:18:00 •Why You Have to Manage Your Risk: 00:18:00 •My Risk Management System: 00:12:00 •You Can't Progress in Something That You Don't Measure: 00:09:00 •Introduction: 00:02:00 •Trading on 2 different timeframes: 00:10:00 •How to add it to your screen: 00:05:00 •The rules that you have to follow: 00:15:00 •Let's practice it: 00:30:00 •Results from the practice: 00:10:00 •Class project: 00:01:00 •Introduction: 00:04:00 •How to put it on your screen: 00:05:00 •The criteria needed: 00:19:00 •Entries, exits and stop losses practice: 00:24:00 •51% profits on the account in 6 weeks on 1 pair: 00:15:00 •Class project: 00:01:00 •Introduction: 00:03:00 •The setup: 00:09:00 •The Criteria: 00:14:00 •Practice: 00:30:00 •22 % profit on account in 30 trades: 00:14:00 •68 % Win Rate: 00:01:00 •Introduction: 00:03:00 •Why you have to be using multiple timeframes: 00:09:00 •Introduction to using Stochastic indicator with an EDGE: 00:08:00 •First strategy - How to set it up on your chart: 00:07:00 •First strategy - Criteria: 00:30:00 •First strategy - Practice: 00:20:00 •Second strategy - Criteria: 00:12:00 •Second strategy - Practice: 00:15:00 •Class project: 00:01:00 •Introduction: 00:03:00 •The first Scalping / Day trading strategy: 00:14:00 •Volatility is key: 00:08:00 •Practice of the First strategy: 00:17:00 •Second scalping / day trading strategy and how to set it up: 00:04:00 •Criteria for the second strategy: 00:04:00 •Backtesting the second strategy: 00:23:00 •Class project: 00:01:00 •How to Know When to Take Profits: 00:35:00 •Hull Moving Average: 00:06:00 •7 Habits Belief of Successful Traders: 00:17:00 •Momentum Play with Multiple Timeframes: 00:20:00

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

Course Overview: Are you ready to unlock the world of digital possibilities by understanding the art and science of data analytics? We live in an era where data back every decision and every action requires insightful analysis. Clive Humby said, "Data is the new oil, and it's the new oil, so it's an invaluable resource for companies worldwide. This comprehensive course covers a broad spectrum of data analytics, starting with an engaging 'Introduction to the World of Data,' before delving into the fundamental components like the 'Basics of Data Analytics,' 'Statistics for Data Analytics,' and the 'Actions Taken in the Data Analysis Process.' Each subsequent module is carefully designed to guide you through various stages of data analytics. You'll explore 'Data Mining,' work with 'Excel for Data Analytics,' and discover 'Tools for Data Analytics.' The curriculum wraps up with a focus on 'Data-Analytic Thinking' and 'Data Visualisation.' Enrol today and start your journey to becoming a data analytics expert! Key Features of the Course: This course comes with a CPD certificate, affirming your proficiency in data analytics. It offers 24/7 learning assistance to ensure you get the most out of your learning journey. The content is presented in easy-to-understand and engaging learning materials, carefully curated to make your journey in data analytics enlightening. Who is This Course For? This course suits professionals seeking to leverage data analytics in their respective fields, individuals aspiring to venture into the data science arena, and students keen to acquire contemporary skills for the digital age. What You Will Learn: Understand the fundamental concepts of data analytics. Apply statistical techniques to analyse large data sets. Implement effective strategies for data collection and storage. Master the art of data mining and extraction of valuable insights. Utilise Excel and other tools effectively for data analysis. Develop a data-analytic mindset for problem-solving. Translate data insights into compelling visualisations. Why Enrol in This Course: This course will open doors to many opportunities. You will learn from top-notch professionals, utilise quality learning materials and have access to trending and recently updated curriculum. Requirements: A basic understanding of computers A willingness to learn Career Path: The expertise gained from this Data Analytics course can pave your way into a variety of professions, such as: Data Analyst (£30,000-£60,000) Business Analyst (£35,000-£70,000) Market Research Analyst (£27,000-£55,000) Operations Analyst (£31,000-£62,000) Quantitative Analyst (£45,000-£85,000) Data Scientist (£50,000-£90,000) Data Engineer (£35,000-£75,000) Certification: On successful completion of this course, you will receive a CPD certificate, testifying your mastery in the field of data analytics. With this recognition, you can confidently showcase your skills and expertise in the professional world. Data analytics is a powerful tool that can be used to make better decisions, improve efficiency, and drive innovation. If you want to join this growing field, this course is for you! FAQ What do you mean by data analytics? Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to extract insights. What data analytics actually do? Data analytics helps businesses make better decisions by providing them with insights into their data. This can include insights into customer behavior, market trends, and product performance. What are the 5 data analytics? The 5 data analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Visual analytics: This type of analytics uses visual representations of data to make it easier to understand. What is data analytics examples? Here are some examples of data analytics: A retailer uses data analytics to track customer behaviour and identify trends. A bank uses data analytics to predict which customers are likely to default on their loans. A healthcare provider uses data analytics to identify patients who are at risk for certain diseases. What are 4 types of analytics? The 4 types of analytics are: Descriptive analytics: This type of analytics describes what has happened in the past. Diagnostic analytics: This type of analytics identifies the root cause of problems. Predictive analytics: This type of analytics predicts what will happen in the future. Prescriptive analytics: This type of analytics recommends actions to take based on the predictions. Why do we use data analytics? We use data analytics to make better decisions, improve efficiency, and drive innovation. Here are some of the benefits of using data analytics: Better decision-making: Data analytics can help businesses make better decisions by providing them with insights into their data. Improved efficiency: Data analytics can help businesses improve efficiency by identifying areas where they can save time and money. Driven innovation: Data analytics can help businesses drive innovation by identifying new opportunities and trends. Course Curriculum 13 sections • 13 lectures • 12:25:00 total length •Introduction to the World of Data: 01:00:00 •Basics of Data Analytics: 00:40:00 •Statistics for Data Analytics: 01:00:00 •Actions Taken in the Data Analysis Process: 00:55:00 •Gathering the Right Information: 01:00:00 •Storing Data: 01:15:00 •Data Mining: 01:00:00 •Excel for Data Analytics: 01:20:00 •Tools for Data Analytics: 01:20:00 •Data-Analytic Thinking: 01:10:00 •Data Visualisation That Clearly Describes Insights: 00:45:00 •Data Visualization Tools: 01:00:00 •Assignment - Data Analytics: 00:00:00

Overview This comprehensive course on Cryptocurrency: Wallets, Investing & Trading will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Cryptocurrency: Wallets, Investing & Trading 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 Cryptocurrency: Wallets, Investing & Trading. It is available to all students, of all academic backgrounds. Requirements Our Cryptocurrency: Wallets, Investing & Trading 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 • 46 lectures • 03:30:00 total length •Cryptocurrency | Welcome to the Course: 00:03:00 •Course Agenda | What We Will Cover: 00:01:00 •Introduction | Why Cryptocurrency?: 00:04:00 •Cryptocurrency & Blockchain Essentials: 00:03:00 •Cryptocurrency | Key Events from 2017: 00:05:00 •The Future of Blockchain Technology & Crypocurrency: 00:04:00 •Purchase Cryptocurrency | Section Overview: 00:03:00 •Create Your Coinbase Account | Cryptocurrency Exchange: 00:04:00 •Make Your First Cryptocurrency Purchase | Coinbase Tools & Features: 00:07:00 •Coinbase Mobile App | Download & Review: 00:05:00 •How to Purchase Alt-coins | Other Cryptocurrency Exchanges Overview: 00:02:00 •Bitfinex | Cryptocurrency Exchange Platform Overview: 00:03:00 •Bittrex | Cryptcurrency Exchange Platform Overview: 00:05:00 •Kraken | Cryptocurrency Exchange Platform Overview: 00:03:00 •Binance | Cryptocurrency Exchange Platform Overview: 00:03:00 •Bitcoin ATM | How to Purchase Bitcoin from A Bitcoin ATM: 00:08:00 •Make A Purchase Using Bitcoin | How to Use Cryptocurrency: 00:05:00 •Cryptocurrency Wallets | Section Overview: 00:03:00 •Online Wallets | Best For Purchasing & Trading Cryptocurrency: 00:02:00 •Hardware Wallets | Long Term Storage & Large Amounts of Cryptocurrency: 00:12:00 •Desktop Wallets | Manage Your Cryptocurrency Portfolio on Your Desktop: 00:07:00 •Mobile Wallets | Simple & Easy Way to Store Cryptocurrency: 00:08:00 •Paper Wallets | Free Option to Securely Store Cryptocurrency: 00:07:00 •Cryptocurrency Investing Strategies | Section Overview: 00:05:00 •Dollar Cost Averaging (DCA) | Averaging Into Positions: 00:04:00 •Contrarian Investing | Using the RSI to Buy 'The Dips': 00:03:00 •Diversification | Diversify Your Portfolio: 00:03:00 •Support Levels | Finding Support Levels & Setting Price Alerts: 00:05:00 •Just HODL It! | Strategy of 'HODLing on For Dear Life': 00:03:00 •Long Term Storage Options | Best Wallets for Cryptocurrency Investing: 00:02:00 •Investor Terminology | Slang & Terminology Used By Cryptocurrency Investors: 00:03:00 •How to Trade Cryptocurrency | Section Overview: 00:03:00 •Top Mistakes Made By New Traders | Avoid These!: 00:02:00 •Technical vs Fundamental Trading | Trading Styles Review: 00:04:00 •Technical Analysis for Cryptocurrency | Introduction to Technical Analysis: 00:03:00 •Candlestick Charts | How to Read & Understand Candlestick Charts: 00:08:00 •Indicators & Overlays | Candlestick Chart Technical Analysis: 00:06:00 •How to Place Trades on Trading Exchanges | Transfer & Trade Cryptocurrency: 00:10:00 •Moving Averages | Moving Average Crossover Strategy for Trading: 00:05:00 •Bollinger Bands | Using Bollinger Bands for Trading & Measuring Volatility: 00:05:00 •Support & Resistance Levels | Finding Support & Resistance Levels For Trading: 00:03:00 •MACD | Using the Moving Average Convergence/ Divergence Oscillator for Trading: 00:04:00 •RSI (Relative Strength Index) | Finding Overbought & Oversold Entry Points: 00:03:00 •Crypto Stocks & ETFs | Trade Cryptocurrency Volatility with Stocks & ETFs: 00:05:00 •Bonus Lecture: 00:14:00 •Assignment - Cryptocurrency: Wallets, Investing & Trading: 00:00:00

Overview This comprehensive course on COVID-19 Critical Care will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This COVID-19 Critical Care 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 COVID-19 Critical Care. It is available to all students, of all academic backgrounds. Requirements Our COVID-19 Critical Care 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 • 8 lectures • 02:47:00 total length •Coronavirus- The Outbreak: 00:19:00 •Deteriorating Patient: 00:36:00 •Day-to-Day Critical Care: 00:27:00 •COVID-19 Critical Illness Clinical Overview: 00:25:00 •Treatment Support: 00:18:00 •Vaccine for COVID-19: 00:15:00 •Caring Human Factors Understanding and Applying: 00:13:00 •Quarantine Rules and Guidelines: 00:14:00

Overview This comprehensive course on Conservation Diploma Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Conservation Diploma Course 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 Conservation Diploma Course. It is available to all students, of all academic backgrounds. Requirements Our Conservation Diploma Course 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 2 sections • 8 lectures • 02:33:00 total length •Module - 1: The Fundamentals of Conservation: 00:22:00 •Module - 2: Introduction to Biodiversity: 00:24:00 •Module - 3: Introduction to Ecosystem: 00:22:00 •Module - 4: Species and Ecosystems: 00:24:00 •Module - 5: Wildlife Conservation: 00:18:00 •Module - 6: Ocean Challenges and Solutions: 00:24:00 •Module - 7: Conservation Project Planning: 00:19:00 •Assignment - Conservation Diploma Course: 00:00:00

Overview This comprehensive course on Computer Science: Graph Theory Algorithms will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Computer Science: Graph Theory Algorithms 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 Computer Science: Graph Theory Algorithms. It is available to all students, of all academic backgrounds. Requirements Our Computer Science: Graph Theory Algorithms 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 17 sections • 44 lectures • 08:37:00 total length •Promo: 00:03:00 •Introduction: 00:14:00 •Common Problem: 00:10:00 •Depth First Search: 00:11:00 •Breadth First Search: 00:08:00 •Breadth First Search Shortest Path on a Grid: 00:17:00 •Storage and Representation of Trees: 00:10:00 •Beginner Tree Algorithms: 00:10:00 •Rooting Tree: 00:05:00 •Center(s) of a Tree: 00:06:00 •Isomorphisms in Trees: 00:11:00 •Isomorphisms in Trees Source Code: 00:10:00 •Lowest Common Ancestor: 00:17:00 •Topological Sort: 00:14:00 •Shortest and Longest Paths on DAGs: 00:10:00 •Khan's Algorithm: 00:13:00 •Dijkstra's Shortest Path Algorithm: 00:25:00 •Dijkstra's Shortest Path Algorithm Source Code: 00:09:00 •Bellman-Ford Algorithm: 00:15:00 •Floyd-Warshall Algorithm: 00:16:00 •Floyd-Warshall Algorithm Source Code: 00:09:00 •Algorithm to Find Bridges and Articulation Points: 00:20:00 •Algorithm to Find Bridges and Articulation Points Source Code: 00:09:00 •Tarjan's Algorithm for Finding Strongly Connected Components: 00:17:00 •Tarjan's Algorithm for Finding Strongly Connected Components Source Code: 00:07:00 •Travelling Salesman Problem (TSP) with Dynamic Programming: 00:21:00 •Travelling Salesman Problem (TSP) with Dynamic Programming Source Code: 00:14:00 •Existence of Eulerian Paths and Circuit: 00:10:00 •Finding Eulerian Paths and Circuits: 00:16:00 •Eulerian Paths Source Code: 00:08:00 •Prim's Minimum Spanning Tree Algorithm (Lazy Version): 00:15:00 •Prim's Minimum Spanning Tree Algorithm ( Eager Version): 00:15:00 •Prim's Minimum Spanning Tree Algorithm Source Code ( Eager Version): 00:09:00 •Max Flow Ford-Fulkerson Method: 00:13:00 •Max Flow Ford-Fulkerson Method Source Code: 00:17:00 •Network Flow: Unweighted Bipartite Graph Matching: 00:11:00 •Network Flow: Mice and Owls: 00:08:00 •Network Flow: Elementary Math: 00:11:00 •Network Flow: Edmond-Karp Algorithm: 00:06:00 •Network Flow: Edmond-Karp Algorithm Source Code: 00:10:00 •Network Flow: Capacity Scaling: 00:10:00 •Network Flow: Capacity Scaling Source Code: 00:06:00 •Network Flow: Dinic's Algorithm: 00:12:00 •Network Flow: Dinic's Algorithm Source Code: 00:09:00

Overview This comprehensive course on Compliance Administrator will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Compliance Administrator 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 Compliance Administrator. It is available to all students, of all academic backgrounds. Requirements Our Compliance Administrator 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 8 sections • 8 lectures • 03:20:00 total length •Introduction To Compliance: 00:17:00 •Five Basic Elements Of Compliance: 00:25:00 •Compliance Management System (CMS): 00:26:00 •Compliance Audit: 00:38:00 •Compliance And Ethics: 00:26:00 •Risk And Types Of Risk: 00:25:00 •Introduction To Risk Management: 00:25:00 •Risk Management Process: 00:18:00

Overview This comprehensive course on Complete Web Application Penetration Testing & Security will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Complete Web Application Penetration Testing & Security 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 Complete Web Application Penetration Testing & Security. It is available to all students, of all academic backgrounds. Requirements Our Complete Web Application Penetration Testing & Security is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various 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 12 sections • 60 lectures • 14:18:00 total length •About The Course: 00:03:00 •Web Attack Simulation Lab: 00:12:00 •Web application technologies 101 - PDF: 00:47:00 •HTTP Protocol Basics: 00:11:00 •Encoding Schemes: 00:13:00 •Same Origin Policy - SOP: 00:06:00 •HTTP Cookies: 00:11:00 •Cross-origin resource sharing: 00:05:00 •Web application proxy - Burp suite: 00:09:00 •Fingerprinting web server: 00:05:00 •DNS Analysis - Enumerating subdomains: 00:04:00 •Metasploit for web application attacks: 00:12:00 •Web technologies analysis in real time: 00:03:00 •Outdated web application to server takeover: 00:08:00 •BruteForcing Web applications: 00:06:00 •Shodan HQ: 00:07:00 •Harvesting the data: 00:05:00 •Finding link of target with Maltego CE: 00:09:00 •Cross Site Scripting- XSS - PDF: 00:34:00 •Cross site scripting: 00:07:00 •Reflected XSS: 00:14:00 •Persistent XSS: 00:11:00 •DOM-based XSS: 00:10:00 •Website defacement through XSS: 00:09:00 •XML Documents & database: 00:14:00 •Generating XSS attack payloads: 00:13:00 •XSS in PHP, ASP & JS Code review: 00:13:00 •Cookie stealing through XSS: 00:12:00 •Advanced XSS phishing attacks: 00:08:00 •Advanced XSS with BeEF attacks: 00:10:00 •Advanced XSS attacks with Burp suite: 00:08:00 •Code Review Guide: 03:11:00 •SQL Injection attacks - PDF: 00:45:00 •Introduction to SQL Injection: 00:16:00 •Dangers of SQL Injection: 00:05:00 •Hunting for SQL Injection vulnerabilities: 00:20:00 •In-band SQL Injection attacks: 00:27:00 •Blind SQL Injection attack in-action: 00:10:00 •Exploiting SQL injection - SQLMap: 00:09:00 •Fuzzing for SQL Injection - Burp Intruder: 00:14:00 •CSRF or XSRF attack methods: 00:12:00 •Anti-CSRF Token methods: 00:15:00 •Anti-CSRF token stealing-NOT easy: 00:11:00 •Authentication bypass-hydra: 00:11:00 •HTTP Verb Tampering: 00:09:00 •HTTP parameter pollution - HPP: 00:06:00 •Authentication: 00:10:00 •Client side control bypass: 00:10:00 •LFI & RFI attacks: 00:13:00 •Unrestricted file upload - content type: 00:06:00 •Unrestricted File Upload - Extension Type: 00:06:00 •Remote code execution using Shell Uploads: 00:09:00 •XXE attacks in action: 00:14:00 •Advanced Intruder attack types: 00:23:00 •Cross window messaging: 00:02:00 •Defense in depth applied to web app: 00:02:00 •Drupagedden: 00:02:00 •Finding details with open source: 00:17:00 •Out of band XXE: 00:02:00 •Website auditing: 00:02:00

Overview This comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS 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 Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds. Requirements Our Clinical Data Analysis with SAS 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 5 sections • 30 lectures • 01:54:00 total length •Course Promo: 00:01:00 •1.1 Components of the Pharma Industry: 00:05:00 •1.2 Phases of Clinical Trials: 00:06:00 •1.3 Data and Reports in Clinical Trials: 00:04:00 •1.4 Types of Data: 00:05:00 •2.1 Clinical Study Protocol: 00:02:00 •2.2 Ethical Consent: 00:01:00 •2.3 Inclusion-Exclusion Criteria: 00:01:00 •2.4 Statistical Analysis Plan: SAP, Mockshell and CRF: 00:04:00 •3.1 General SAS Programming Steps: 00:02:00 •3.2 One Search Report: Demographics Table: 00:04:00 •3.3 Understanding the Demographics Table: 00:03:00 •3.4 Programming the Demographics Table: 00:05:00 •3.5 Importing Raw Demographic Data into the SAS: 00:04:00 •3.6 Deciding what Procedure to Use: 00:02:00 •3.7 Deriving the AGE variable: 00:10:00 •3.8 Obtaining Summary Statistics for AGE: 00:04:00 •3.9 Adding the 3rd Treatment Group using Explicit Output: 00:05:00 •3.10 Deriving the SEX variable: 00:03:00 •3.11 Obtaining Summary Statistics for SEX: 00:03:00 •3.12 Concatenating the COUNT and PERCENT Variables: 00:03:00 •3.13 Deriving the RACE Variable: 00:03:00 •3.14 Obtaining Summary Statistics for RACE: 00:03:00 •3.15 Stacking All the 3 Summary Statistics Together: 00:06:00 •3.16 Fixing the Precision Points: 00:04:00 •3.17 Transposing Data: 00:03:00 •3.18 Fixing the Order of Statistical Parameters: 00:05:00 •3.19 Building the Final Report: 00:02:00 •3.20 Putting the Final Touches to the Report: 00:11:00 •Resources - Clinical Data Analysis with SAS: 00:00:00