1337 Scientist courses

Course Overview Learn the fundamental and basic concepts of chemistry and make your life more colorful with all the reactions. This Online Diploma in Basic Chemistry course will help you advance your study in chemistry and pursue a career in the chemical science industry. In this Online Diploma in Basic Chemistry course, you will learn about the most basic concepts and their application. You will get to know about the periodic table, metals, organic and inorganic chemistry. You will also learn about the functions of energy, intermolecular force, gases and liquids. This course will also familiarize you with various types of chemistry like biochemistry, nuclear chemistry, molecular science and many more. Chemistry can make your understanding clear about what is happening around you and add extra spice to your life. This Online Diploma in Basic Chemistry course will teach you the basic concepts of chemistry from scratch. Learn Chemistry and enjoy the science behind your everyday life. Learning Outcomes Get a clear understanding of the basics of chemistry Get to know about matters, atoms and chemical bonds Familiarize with the ins and outs of the periodic table Understand the function of energy, intermolecular forces and gases Get in-depth knowledge about inorganic and organic chemistry Learn what chemical equilibrium is Get to know about the importance of PH and POH Familiarize with different chemical reactions Get to know about different chemical hygiene plans Maintain laboratory safety while working in a laboratory Who is this course for? This comprehensive Online Diploma in Basic Chemistry is ideal for those who want to grasp the basic concepts of chemistry and strengthen their basics. This course is suitable for learners of any age. 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. Certification After you have successfully completed the course, 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 hardcopy at the cost of £39 or in PDF format at the 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 The Online Diploma in Basic Chemistry is a useful qualification to possess and would be beneficial for any related profession or industry such as: Chemical Technicians Lab Technicians Forensic Scientists Environmental Analysts Engineers Operation Analysts Analytical Chemists Toxicologists Chemistry Teachers Water Chemists Researchers Online Diploma in Basic Chemistry Module 01: Introduction to Basic Chemistry 00:24:00 Module 02: Understanding Matter 00:21:00 Module 03: Atom 00:41:00 Module 04: Chemical Bonding 00:25:00 Module 05: Energy 00:38:00 Module 06: Periodic Table 00:35:00 Module 07: Intermolecular Forces 00:25:00 Module 08: Gases 00:25:00 Module 09: Solution 00:26:00 Module 10: Chemical Equilibrium 00:30:00 Module 11: Kinetics and Equilibrium 00:17:00 Module 12: Acids and Bases 00:23:00 Module 13: pH and pOH 00:23:00 Module 14: Reactions Involving Acids and Bases 00:25:00 Module 15: Redox Reaction 00:21:00 Module 16: Electricity and Chemistry 00:28:00 Module 17: Inorganic Chemistry 00:24:00 Module 18: Organic Chemistry 00:44:00 Module 19: Biochemistry 00:30:00 Module 20: Nuclear Chemistry 00:27:00 Module 21: Industrial Chemistry 00:24:00 Module 22: Environmental Chemistry 00:24:00 Module 23: Laboratory Safety 00:36:00 Module 24: Chemical Hygiene Plan 00:14:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Course Overview As the whole world is looking forward to generating environmentally friendly energy, hydroelectricity is one of the greatest opportunities for the future. Learn how hydroelectric power works from this Basics of Hydroelectric Power Plant course and take the first step towards green energy generation. This Basics of Hydroelectric Power Plant  course will teach you the fundamentals of hydroelectricity and how to manage a hydropower plant. You will learn about the different components of a hydropower plant and their work. This course will also teach you about the benefits of the hydropower plants, the terminologies and working principles.  This Basics of Hydroelectric Power Plant course will help you enhance your knowledge and skills about hydropower plants, functions and maintenance. The easily understandable lessons will assist you to learn about hydropower plants quickly. This course is ideal for anyone who wants to understand the function of environment friendly energy generation and their applicability. Learning Outcomes Learn about the roles of hydroelectricity in today's power engineering market Understand the benefits of hydroelectricity Familiarize with hydro power plant terminologies Learn how hydro turbines work Know about different hydropower plant components Understand the differences between several hydro turbines and their applications Who is this course for? This comprehensive Basics of Hydroelectric Power Plant is ideal for those who want to understand the functions of hydroelectric powerplants. You will get a clear idea about powerplant management from this course. 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. Certification After you have successfully completed the course, 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 hardcopy at the cost of £39 or in PDF format at the 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 Basics of Hydroelectric Power Plant is a useful qualification to possess and would be beneficial for any related profession or industry such as: Electrical Engineers Mechanical Engineers Power Engineers Power Plant Supervisors Environmental Engineers Environmental Analysts Researchers Scientists Welcome to the Course Course Overview 00:02:00 Welcome 00:02:00 Introduction Hydroelectricity Introduction 00:01:00 Short History Lesson 00:02:00 Potential to Electrical Energy 00:01:00 The Hydro Power Engineering Industry 00:08:00 Hydroelectric Power Plant Terminology Hydroelectric Power Plant Terminology 00:01:00 Impoundment and Diversion 00:03:00 Headwater, Tailwater, Head and Pondage 00:04:00 Upper and Lower Reservoirs 00:01:00 Common Hydroelectric Power Plant Components Hydroelectric Power Plant Components 00:01:00 Prior, Preparation and Planning 00:06:00 Trash Racks 00:03:00 Gates - Intake, Draft Tube, Spillway 00:05:00 Spillway 00:05:00 Penstock - Pressurised Water Conductor 00:03:00 Turbine Runners 00:03:00 Draft Tube 00:02:00 Power House 00:03:00 Generator and Power Distribution 00:06:00 Hydroelectric Turbines Hydroelectric Turbines 00:07:00 Reaction and Impulse Turbines 00:03:00 Axial, Mixed and Radial Flow Turbines 00:02:00 Kaplan Turbines 00:05:00 Variable Pitch Blades 00:04:00 Francis Turbines 00:05:00 Pelton Turbines Part 1 00:03:00 Pelton Turbines Part 2 00:07:00 Types of Hydroelectric Power Plant Types of Hydroelectric Power Plant 00:01:00 How Hydroelectric Dam Power Plants Work 00:07:00 How Run of the River Power Plants Work 00:05:00 How Tidal Barrage Power Plants Work 00:07:00 How Tidal Stream Power Plants Work 00:09:00 How Pumped Storage Power Plants Work 00:13:00 Final Thoughts Final Thoughts 00:02:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! Humans and plants; an eternal friendship. Although humans have drastically (and foolishly) undermined this immensely beneficial relationship in the post-industrialisation era, they are becoming increasingly aware of the numerous benefits pants offer. Hence, studying plants or botany is a popular choice among learners around the world. To assist you in taking the first step to learning plants, we present this botany course for you. Botany is the scientific study of plants. It encompasses the study of the structure, growth, reproduction, metabolism, development, diseases, and evolution of plants. Botanists are scientists who specialise in studying plants and their environmental interactions. In this Botany course, you will learn about plant physiology, ecology, genetics, embryology, and much more. So, enrol in this botany course now! This Diploma in Botany at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPD to make your skill development and career progression related to Botany substantial and easier than ever! Learning Outcome This Botany course enables you to - Develop an understanding of plant cells and their functions Discuss plant physiology in a thorough manner Recognise the fundamental physiological process that occurs in plants Determine the economic significance of gymnosperms Explain the fossilisation process and the factors that influence it Why Prefer This Botany Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS after completing the Botany course Get a free student ID card! (£10 postal charges will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. *** Course Curriculum *** Here is the curriculum breakdown of this Diploma in Botany: Module 01: Introduction to Biology Module 02: Morphology of Plants Module 03: Cell Biology and Anatomy of Plants Module 04: Naming Plants and Taxonomic Classifications Module 05: Plant Physiology Module 06: Embryology of Plants Module 07: Plant Genetics and Evolution Module 08: Plant Ecology Module 09: Cryptograms and Microbes Module 10: The Gymnosperms Module 11: Angiosperms - The Flowering Plants Module 12: Palaeobotany Assessment Process We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the exam, you will be able to request a certificate with additional cost that has been endorsed by the Quality Licence Scheme. Show off Your New Skills with a Certificate of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After completing the course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for international delivery Certificate Accredited by CPD Upon finishing the course, you need to order to receive a Certificate Accredited by CPD that is recognised all over the UK and also internationally. The pricing schemes are - 10 GBP for Digital Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery) CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This botany course is intended for anyone with a deep interest in plants and who wants to gain an understanding of plant biology. Requirements The Botany program does not require any prior knowledge; everyone may participate! This Botany course is open to anyone who is interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This course allows you to study at your own speed and grow a quality skillset. Career path This Botany course can assist you in pursuing a career as - Botanist Ecologist Palaeontologist

Course Overview Learn about the functions of Microsoft Azure from this AZ-900 | Microsoft Azure Fundamentals Full Course course. The course will give you a clear understanding of the basics of Microsoft Azure and how you can use this cloud platform to grow and strengthen your online existence. In this AZ-900 | Microsoft Azure Fundamentals Full Course course, you will learn about the tools and basic functions of Microsoft Azure. You will be familiarized with the core Azure services, security, privacy and compliance policies. This course will teach you how you can secure your website and account using multi-factor authentication and protect data from hackers. This course will also help you to understand the supports Azure can offer you and get the best suitable one for you. Microsoft Azure is one of the most popular and safe cloud platforms. This AZ-900 | Microsoft Azure Fundamentals Full Course course will teach you the functions of Microsoft Azure from scratch. You don't need any prior knowledge or technical background to understand the lessons of this course. Learning Outcomes familiarize with the fundamentals of cloud services Understand the benefits of using cloud services Learn about the differences between capital expenditure and operational expenditure Be able to compare and contrast the IAAS, PAAS and SAAS service Learn about different cloud models and how they work Understand the core Azure architectural components Learn about the solutions you will get from Azure Learn about the management tools of Azure Get to know about the security and private privacy protocols of Microsoft Azure Understand how Azure identity services work Familiarize with role-based access control system Understand the policies and compliance standards in Azure Who is this course for? This comprehensive AZ-900 | Microsoft Azure Fundamentals Full Course is ideal for those who want to learn more about the functions of Microsoft Azure. You will learn about the application of Microsoft Azure and the career prospect from this course. 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. Certification After you have successfully completed the course, 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 hardcopy at the cost of £39 or in PDF format at the 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 AZ-900 | Microsoft Azure Fundamentals Full Course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Managers Managing Directors Management Executives Data Security Officers Programmers Microsoft Azure Developers Technicians Computer Operators Cloud Engineers Cloud Data Consultants Azure Consultants Data Scientists Course Introduction Introduction 00:04:00 Module 1 : Cloud Concepts What is Cloud Computing - I 00:05:00 What is Cloud Computing - II 00:06:00 Benefits of Cloud Computing 00:09:00 Key Concepts and Terminology 00:06:00 Economies of Scale 00:01:00 CapEx Vs OpEx 00:03:00 Cloud Models : What is Public Cloud 00:02:00 Cloud Models : Characteristics of Public Cloud 00:02:00 Cloud Models : What is Private Cloud 00:01:00 Cloud Models : Characteristics of Private Cloud 00:01:00 Cloud Models : Hybrid Cloud 00:01:00 Cloud Models : Characteristics of Hybrid Cloud 00:01:00 Review and What Next!! 00:01:00 What is IAAS 00:04:00 Use Cases of IAAS 00:02:00 What is PAAS ? 00:02:00 Use Cases of PAAS 00:04:00 What is SAAS ? 00:02:00 Cloud Models : Shared Responsibility Model 00:09:00 Module 2 : Core Azure Services Introduction 00:01:00 Azure Regions 00:01:00 Special Azure regions 00:01:00 Region pairs 00:01:00 Feature Availability Region Wise 00:01:00 Availability Zones 00:01:00 Availability Sets 00:02:00 What are Resource Groups? 00:02:00 Azure Resource Manager 00:01:00 What Next!! - Azure Core Services and Products 00:02:00 What is Azure Compute 00:01:00 Azure Virtual Machines - Audiocast Only 00:01:00 Azure Virtual Machines I - LAB 00:15:00 Azure Virtual Machines II - LAB 00:01:00 Azure Virtual Machines III - LAB 00:02:00 Azure Virtual Machines IV - LAB 00:04:00 Azure Virtual Machines V - LAB 00:03:00 Azure Virtual Machines VI - LAB 00:03:00 What are Containers? 00:04:00 Containers ( LAB Activity ) 00:07:00 Containers VS Virtual Machines 00:04:00 What Are Virtual Networks 00:01:00 Virtual Networks - LAB 00:15:00 Azure Load Balancer 00:01:00 VPN Gateway 00:01:00 Azure Application Gateway - I 00:02:00 Azure Application Gateway - II 00:01:00 Azure Content Delivery Networks (CDN's) 00:02:00 How CDN works ? 00:03:00 Azure CDN - Lab Activity 00:07:00 Azure Storage Services 00:01:00 Structured Data 00:01:00 Semi Structured Data 00:01:00 Unstructured Data 00:01:00 Azure Storage Account - Types 00:03:00 Azure Storage Account - Blob - Lab Activity - I 00:07:00 Azure Storage Account - Blog - Lab Activity - II 00:07:00 Azure Storage Account - Blob - Lab Activity - III 00:16:00 Azure Storage Account - Blog - Lab Activity - IV 00:09:00 Azure Storage Account - Blob - Lab Activity - V 00:04:00 Azure Storage Account - Blob - Lab Activity - VI 00:07:00 Azure Database Services 00:02:00 Azure SQL - Lab Demo 00:09:00 Azure MarketPlace 00:02:00 What is Internet of Things ( IOT ) - Intro 00:01:00 IOT Hub 00:01:00 IOT Hub Demo 00:09:00 Azure Big Data and Analytics 00:01:00 Azure SQL Data Warehouse 00:01:00 Azure HDInsights 00:01:00 Azure Data Lake Analytics 00:01:00 Machine Learning 00:02:00 Azure Machine Learning Services and Studio 00:02:00 What is Server less Computing ? 00:02:00 The concept of DevOps 00:03:00 Azure Management Tools 00:01:00 Creating Resources with Powershell - Lab Activity 00:05:00 Creating Resources with Azure CLI - Lab Activity 00:07:00 Provision Resources using Cloud Shell - Lab Activity 00:05:00 Deployment with JSON - Lab Activity 00:08:00 Azure Advisor 00:01:00 Module 2 : What did we learn 00:01:00 Module 3 Security, Privacy, Compliance and Trust What to expect in Module 3 00:01:00 Azure Firewalls 00:02:00 Azure Firewall - Lab Activity - notes 00:02:00 Azure Firewall - Lab Activity 00:19:00 Azure DDOS 00:02:00 Network Security Groups 00:03:00 Application Security Groups 00:02:00 Which Network Security Solution to choose from ? 00:04:00 AuthZ and AuthN 00:01:00 Azure Active Directory 00:02:00 Multi Factor Authentication 00:03:00 Azure Security Center 00:02:00 Azure Security center - LAB activity 00:08:00 Azure Key Vault 00:02:00 Azure Information Protection 00:02:00 Azure Advanced Threat Protection 00:04:00 What is Azure Policy 00:03:00 Azure Policy - Lab Activity 00:06:00 Azure Role Based Access Control ( RBAC ) 00:02:00 Azure Role Based Access Control ( RBAC ) - Lab Activity 00:07:00 Azure Locks 00:01:00 Azure Locks - Lab Activity 00:02:00 Azure Blueprints 00:01:00 Subscription Governance 00:02:00 Azure Tags 00:03:00 Azure Monitoring 00:02:00 Azure Monitor- Lab Activity 00:03:00 Azure Service Health 00:01:00 Monitoring Applications and Services 00:04:00 Compliance Terms and Requirements 00:02:00 Microsoft Privacy Statement 00:01:00 Microsoft Trust Center 00:01:00 Service Trust Portal 00:01:00 Azure Government Services 00:02:00 Azure Germany Services 00:01:00 Azure China 21Vianet 00:02:00 Module 4 : Azure Pricing and Support Module 4 Introduction : What tÌ¥o expect in this module 00:02:00 Azure Subscriptions 00:06:00 What are Management Groups 00:01:00 Purchase Azure Product & Services : Available Options 00:01:00 Usage Metrics 00:01:00 Factors Affecting Costs 00:02:00 The concept of Zones for Billing 00:02:00 Azure Pricing Calculator 00:04:00 Azure Total Cost of Ownership ( TCO ) 00:02:00 Ways to Minimize Costs in Azure 00:04:00 Azure Cost Management 00:02:00 Azure Support Plans 00:03:00 Alternative Support Options 00:02:00 Service Level Agreements ( SLA's ) 00:03:00 Composite SLA's 00:03:00 Improving Application SLA's 00:04:00 Public and Preview Features 00:01:00 Providing Feedback 00:01:00 General Availability 00:01:00 Azure Updates , Announcements and Roadmaps 00:01:00 Course Conclusion Course Conclusion 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Hands-on Predicitive Analytics with Python (TTPS4879) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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This Criminology & Private Investigation Diploma Bundle Contains 6 of Our Premium Courses for One Discounted Price: Course 01: Criminology & Profiling Course Course 02: Private Investigation Diploma Course 03: Accident Investigation Course 04: Crime Analysis Online Course Course 05: Forensic Investigator Fundamentals Course 06: Interrogations And Confessions Psychology All the courses under this Criminology & Private Investigation Diploma bundle are split into a number of expertly created modules to provide you with an in-depth and comprehensive learning experience. Upon successful completion of the Criminology & Private Investigation Diploma bundle, an instant e-certificate will be exhibited in your profile that you can order as proof of your new skills and knowledge. Stand out from the crowd and get trained for the job you want. Learning Outcomes of Criminology & Private Investigation Gain a deep understanding of criminal behaviour and profiling techniques. Develop expertise in private investigation methods and strategies. Master the principles of accident investigation and reconstruction. Acquire proficiency in crime analysis and data interpretation. Learn the fundamentals of forensic investigation and evidence collection. Understand the psychology of interrogations and confessions. With this comprehensive Criminology & Private Investigation Diploma bundle, you can achieve your dreams and train for your ideal career. This Criminology & Private Investigation Diploma bundle covers essential aspects in order to progress in your chosen career. Why Prefer Us for Criminology & Private Investigation Diploma? Get a Free CPD Accredited Certificate upon completion of Criminology & Private Investigation Get a free student ID card with Criminology & Private Investigation Training program (£10 postal charge will be applicable for international delivery) The Criminology & Private Investigation is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Criminology & Private Investigation course materials The Criminology & Private Investigation comes with 24/7 tutor support Start your learning journey straightaway with Criminology & Private Investigation! This Criminology & Private Investigation Diploma's curriculum has been designed by Criminology & Private Investigation Diploma experts with years of Criminology & Private Investigation Diploma experience behind them. The Criminology & Private Investigation Diploma course is extremely dynamic and well-paced to help you understand Criminology & Private Investigation Diploma with ease. You'll discover how to master the Criminology & Private Investigation Diploma skill while exploring relevant and essential topics. *** Curriculum of Criminology & Private Investigation *** Module 01: Introduction to Criminology and Profiling Module 02: Classification of Crime Module 03: Violent Crimes Module 04: The Crime Scene Module 05: Dealing with Crime Module 06: Understanding Criminal Psychology Module 07: Forensic Science Module 08: Phases of Profiling Module 09: Criminal Profiling: Science, Logic and Metacognition Module 10: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice Module 11: Victimology Module 12: The Criminal Justice System in England and Wales Assessment Process of Criminology & Private Investigation Once you have completed all the courses in the Criminology & Private Investigation Diploma bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Criminology & Private Investigation Diploma bundle is suitable for everyone. This Criminology & Private Investigation bundle is also suitable for: Aspiring criminologists Private investigators Law enforcement professionals Forensic scientists Requirements You will not need any prior background or expertise in this Criminology & Private Investigation. Career path This Criminology & Private Investigation Diploma bundle will allow you to kickstart or take your career in the related sector to the next stage. Detective Private investigator Forensic analyst Criminologist Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - £29 If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

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Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. Additional course details: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.