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Venture into the world of data interpretation with our illuminating 'Applied Statistics' course. In an era where every decision is data-driven, the art of statistics becomes an indispensable tool. This course masterfully unfolds the complexities of statistical analysis, from the basics to advanced methodologies. Whether it's understanding central tendencies, charting out data, or avoiding common pitfalls, we've got it all covered. Set yourself on a path to make informed decisions and discern patterns like never before. Learning Outcomes Understand the core concepts and fundamentals of statistics. Master methods of measuring central tendencies and dispersion in datasets. Dive deep into correlation, regression, and hypothesis testing techniques. Attain proficiency in data visualisation using charts and graphs. Identify and rectify ten prevalent statistical mistakes. Why choose this Applied Statistics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Applied Statistics Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Applied Statistics course for? Students embarking on a journey in data science or related fields. Business analysts seeking to enhance their data interpretation skills. Researchers keen to strengthen their statistical analysis techniques. Professionals in various industries aiming to make data-backed decisions. Educators looking to teach statistical methods more effectively. Career path Data Analyst - £25,000 - £40,000 Statistical Consultant - £30,000 - £50,000 Research Scientist (Statistics) - £35,000 - £55,000 Econometrician - £40,000 - £60,000 Quantitative Analyst - £45,000 - £70,000 Biostatistician - £30,000 - £50,000 Prerequisites This Applied Statistics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Applied Statistics 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Statistics Introduction to Statistics 00:18:00 Module 02: Measuring Central Tendency Measuring Central Tendency 00:18:00 Module 03: Measures of Dispersion Measures of Dispersion 00:11:00 Module 04: Correlation and Regression Analysis Correlation and Regression Analysis 00:35:00 Module 05: Probability Probability 00:16:00 Module 06: Sampling Sampling 00:11:00 Module 07: Charts and Graphs Charts and Graphs 00:21:00 Module 08: Hypothesis Testing Hypothesis Testing 00:25:00 Module 09: Ten Common Statistical Mistakes Ten Common Statistical Mistakes 00:30:00 Assignment Assignment - Applied Statistics 00:00:00

A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!

Overview Business intelligence analysis plays a significant role in determining the success and failure of the business. Hence, skilled analysts are high-value employees in the business sector. If you want to be one of them, start working on your skills. Our exclusive Business Intelligence Analysis Training can help you out with your skill-building In this comprehensive training program, you will get a detailed understanding of business intelligence analysis. The course will educate you on the principles of real-time business analysis, SQL and data management. From the engaging modules, you will learn about statistics and data science. The course will also teach you the strategies of data visualisation and sat warehouse concepts. By the end of the course, you will also grasp the ABCs of Python programming language. This is the perfect skill and career booster. Join now and open new doors or possibilities! Course Preview Learning Outcomes Understand the core principles of real-time business intelligence Grasp a solid understanding of statistics and data science Build your expertise in SQL and database management Develop your skills in data visualisation in business intelligence Introduce yourself to the basics of Python Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email What Skills Will You Learn from This Course? Data management Business intelligence analysis Statistics Who Should Take This Business Intelligence Analysis Training? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Business Intelligence Analysis Training is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Business Intelligence Analysis Training Certification After completing and passing the Business Intelligence Analysis Training successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Path​ This exclusive Business Intelligence Analysis Training will equip you with effective skills and abilities and help you explore career paths such as  Business Intelligence Analyst Business Executive Entrepreneur Module-1: An Introduction To Business Intelligence An Introduction to Business Intelligence 00:45:00 Module-2: Real-Time Business Intelligence Real-time Business Intelligence 00:34:00 Module-3: Fundamentals Of Statistics And Data Science Fundamentals of Statistics and Data Science 00:49:00 Module-4: Fundamentals Of SQL Fundamentals of SQL 00:39:00 Module-5: Database Management Essentials Database Management Essentials 00:49:00 Module-6: Data Warehouse Concepts Data Warehouse Concepts 00:37:00 Module-7: Data Visualisation In Business Intelligence Data Visualisation in Business Intelligence 00:34:00 Module-8: Basics Of Python Basics of Python 00:26:00 Assignment Assignment - Business Intelligence Analyst 00:00:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Course Description Get instant knowledge from this bite-sized COVID-19 Awareness: Part 2 course. This course is very short and you can complete it within a very short time. In this COVID-19 Awareness: Part 2 course you will get fundamental ideas of COVID-19, the key understanding of diagnosis, treatment and so on. Enrol in this course today and start your instant first step towards learning about the effects of COVID-19 on human life. Learn faster for instant implementation. Learning Outcome Familiarise with the effects of COVID-19 on human life Deepen your understanding of artificial intelligence, data science and technological solutions against COVID-19 Learn about the diagnosis and treatment Gain an excellent understanding of the preventions and social measures to be taken How Much Do Doctors Earn? Senior - £100,000 (Apprx.) Average - £52,000 (Apprx.) Starting - £27,000 (Apprx.) Requirement Our COVID-19 Awareness: Part 2 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. COVID-19 Awareness: Part 2 Module 01: Effects of Covid-19 on Human Life 00:19:00 Module 02: Diagnosis and Treatment 00:12:00 Module 03: Preventions and Social Measures to Be Taken 00:28:00 Module 04: Artificial Intelligence, Data Science and Technological Solutions against Covid-19 00:19:00 Assignment Assignment - COVID-19 Awareness: Part 2 00:00:00

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

Duration 1 Days 6 CPD hours This course is intended for This course is designed for data scientists with experience of Python who need to learn how to apply their data science and machine learning skills on Azure Databricks. Overview After completing this course, you will be able to: Provision an Azure Databricks workspace and cluster Use Azure Databricks to train a machine learning model Use MLflow to track experiments and manage machine learning models Integrate Azure Databricks with Azure Machine Learning Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this course, students will learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. Introduction to Azure Databricks Getting Started with Azure Databricks Working with Data in Azure Databricks Training and Evaluating Machine Learning Models Preparing Data for Machine Learning Training a Machine Learning Model Managing Experiments and Models Using MLflow to Track Experiments Managing Models Managing Experiments and Models Using MLflow to Track Experiments Managing Models Integrating Azure Databricks and Azure Machine Learning Tracking Experiments with Azure Machine Learning Deploying Models

Let's learn the basic concepts for developing chatbots with machine learning models. This compact course will help you learn to use the power of Python to evaluate your chatbot datasets based on conversational notes, online resources, and websites. Garner hands-on practice in text generation with Python for chatbot development.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Did you know the UK tech sector is booming, with a projected growth of 2.7% in 2024? But with this growth comes the need for skilled professionals. Are you ready to be part of this exciting future? Python, a versatile and in-demand programming language, could be your key. But where do you start? This Python Programming bundle empowers you, from beginner to advanced, to master Python programming. Learn essential syntax, build applications, explore data science and machine learning, and delve into deep learning and neural networks. Gain the skills and confidence to launch your tech career or upskill for lucrative opportunities. This Diploma in Python Programming at QLS Level 5 Bundle Contains 11 of Our Premium Courses for One Discounted Price: Course 01: Diploma in Python for Beginners Part 1 at QLS Level 5 Course 02: Computer Science With Python Course 03: Python Basic Programming for Absolute Beginners Course 04: Python 101: Essentials for Beginners Course 05: Python Masterclass: Advanced Diploma Course 06: Coding with Python 3 Course 07: Python Programming Bible Course 08: Machine Learning with Python Course Course 09: Data Science & Machine Learning with Python Course 10: Code with Python: Learn Classes, Methods and OOP Course 11: Deep Learning & Neural Networks Python - Keras Take control of your career trajectory and join the growing community of Python developers-enrol today! Learning Outcomes of Python Programming Understand the basics of Python and its environment setup. Get a deep understanding of Python data types and operators. Master Python's fundamental data structures including lists, dictionaries, and tuples. Learn how to control the flow of Python programs through conditional statements and loops. Develop a solid understanding of Python syntax and readability. Acquire a comprehensive foundational knowledge of Python. Establish a solid stepping stone for advanced Python topics and related fields. Why Choose Our Bundle? Get a free QLS endorsed Certificate upon completion of this Bundle Get a free student ID card with this Bundle Get instant access to this Bundle course. Learn from anywhere in the world This Bundle is affordable and simple to understand This Bundle is an entirely online, interactive lesson with voiceover audio Lifetime access to this Bundle of course materials This Bundle Programming comes with 24/7 tutor support Start your learning journey straightaway! This Bundle curriculum has been designed by Python Programming experts with years of Python Programming experience behind them. The Bundle course is extremely dynamic and well-paced to help you understand the Bundle with ease. You'll discover how to master the Python Programming skill while exploring relevant and essential topics. Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. After passing the Diploma in Python for Beginners Part 1 at QLS Level 5 exam, you will be able to request a certificate endorsed by the Quality Licence Scheme absolutely FREE of cost. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is suitable for everyone. Requirements You will not need any prior background or expertise in this bundle. Career path This bundle will allow you to kickstart or take your career in the related sector to the next stage. Python Developer Data Analyst Machine Learning Engineer Web Developer Data Scientist Software Engineer Certificates CPD Accredited Certificate Digital certificate - Included Diploma in Python Programming at QLS Level 5 Hard copy certificate - Included

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