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Unlock the potential of business intelligence with our specialized Business Intelligence Analyst Course. Learn to analyze data, extract insights, and drive strategic decisions to optimize business performance. Gain practical skills in data visualization, reporting, and predictive analytics using industry-leading tools and techniques. Whether you're a business professional or aspiring analyst, this course equips you with the expertise to excel in leveraging data for business intelligence.

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

24 Hour Flash Deal **25-in-1 Cloud Solutions Architect Diploma Mega Bundle** Cloud Solutions Architect Diploma Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Cloud Solutions Architect Diploma package online with Studyhub through our online learning platform. The Cloud Solutions Architect Diploma bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Cloud Solutions Architect Diploma course provides complete 360-degree training on Cloud Solutions Architect Diploma. You'll get not one, not two, not three, but twenty-five Cloud Solutions Architect Diploma courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Cloud Solutions Architect Diploma courses are yours for as long as you want them once you enrol in this course This Cloud Solutions Architect Diploma Bundle consists the following career oriented courses: Course 01: AWS Certified Solutions Architect Associate Preparation Course 02: CompTIA Cloud+ (CV0-002) Course 03: IT Administration and Networking Course 04: CompTIA Network+ Certification (N10-007) Course 05: Cyber Security Awareness Training Course 06: Information Governance and Data Management Training Course 07: Internet of Things (IoT) Course 08: Data Center Training Essentials: General Introduction Course 09: Network Security and Risk Management Course 10: SQL for Data Science, Data Analytics and Data Visualization Course 11: Data Science & Machine Learning with R Course 12: Python Basic Programming for Absolute Beginners Course 13: Machine Learning Basics Course 14: Data Analysis & Forecasting Course 15: SQL Database Management Course 16: CompTIA Security+ Course 17: Cyber Security Advanced Training Course 18: Data Analytics with Tableau Course 19: Geospatial Technology, Remote Sensing and Web Mapping Course 20: Digital Forensic Science: Unraveling Cybercrime Mysteries Course Course 21: CompTIA PenTest+ (Ethical Hacking) course Course 22: Microsoft Excel Complete Course 2019 Course 23: Python Data Science with Numpy, Pandas and Matplotlib Course 24: Computer Networks Security from Scratch to Advanced Course 25: Learn Fundamentals of WordPress The Cloud Solutions Architect Diploma course has been prepared by focusing largely on Cloud Solutions Architect Diploma career readiness. It has been designed by our Cloud Solutions Architect Diploma specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Cloud Solutions Architect Diploma Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Cloud Solutions Architect Diploma bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Cloud Solutions Architect Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Cloud Solutions Architect Diploma Elementary modules, allowing our students to grasp each lesson quickly. The Cloud Solutions Architect Diploma course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Cloud Solutions Architect Diploma bundle, you really hit the jackpot. Here's what you get: Step by step Cloud Solutions Architect Diploma lessons One to one assistance from Cloud Solutions Architect Diplomaprofessionals if you need it Innovative exams to test your knowledge after the Cloud Solutions Architect Diplomacourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Cloud Solutions Architect Diploma courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Cloud Solutions Architect Diploma certificate and transcript on the next working day Easily learn the Cloud Solutions Architect Diploma skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Cloud Solutions Architect Diploma training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Cloud Solutions Architect Diploma Certified Cloud Professional (CCP) Requirements To participate in this Cloud Solutions Architect Diploma course, all you need is - A smart device A secure internet connection And a keen interest in Cloud Solutions Architect Diploma Career path You will be able to kickstart your Cloud Solutions Architect Diploma career because this course includes various courses as a bonus. This Cloud Solutions Architect Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Cloud Solutions Architect Diploma career opportunities. 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This AWS SageMaker Canvas course will help you become a machine learning expert and will enhance your skills by offering you comprehensive knowledge and the required hands-on experience on this newly launched cloud-based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise.

Gain a thorough grasp of time series analysis and its effects, as well as practical tips on how to apply machine learning methods and build RNNs. Learn to train RNNs efficiently while taking crucial concepts such as overfitting and underfitting into account. The course offers a useful, hands-on manner for learning Python methods and principles.

24 Hour Flash Deal **25-in-1 Chief Data Officer (CDO) Advanced Diploma Mega Bundle** Chief Data Officer (CDO) Advanced Diploma Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Chief Data Officer (CDO) Advanced Diploma package online with Studyhub through our online learning platform. The Chief Data Officer (CDO) Advanced Diploma bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Chief Data Officer (CDO) Advanced Diploma course provides complete 360-degree training on Chief Data Officer (CDO) Advanced Diploma. You'll get not one, not two, not three, but twenty-five Chief Data Officer (CDO) Advanced Diploma courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Chief Data Officer (CDO) Advanced Diploma courses are yours for as long as you want them once you enrol in this course This Chief Data Officer (CDO) Advanced Diploma Bundle consists the following career oriented courses: Outcome Course 01: Data Analytics Course 02: Basic Data Analysis Course 03: Data Analysis in Excel Course 04: Data Analysis & Forecasting Course 05: Data Analysis, Automating and Visualisation in Excel Course 06: SQL for Data Science, Data Analytics and Data Visualization Course 07: Microsoft Excel Complete Course 2019 Course 08: VLOOKUP: Master Excel Formula VLOOKUP in 60 minutes! Course 09: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! Course 10: Python Basic Programming for Absolute Beginners Course 11: Machine Learning Basics Course 12: Fundamentals of Business Analysis Course 13: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 14: PowerBI Formulas Course 15: Microsoft Power BI 2021 Complete Course Course 16: Data Protection and Data Security (GDPR) Training Certification Course 17: Information Governance and Data Management Training Course 18: Learn MySQL from Scratch for Data Science and Analytics Course 19: Data Documentation and Record Keeping Best Practices Course 20: Microsoft Access Databases Forms and Reports Course 21: SQL Database Management Course 22: Data Analytics with Tableau Course 23: Business Intelligence and Data Mining Course 24: Google Analytics Course 25: Quick Data Science Approach from Scratch The Chief Data Officer (CDO) Advanced Diploma course has been prepared by focusing largely on Chief Data Officer (CDO) Advanced Diploma career readiness. It has been designed by our Chief Data Officer (CDO) Advanced Diploma specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Chief Data Officer (CDO) Advanced Diploma Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Chief Data Officer (CDO) Advanced Diploma bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Chief Data Officer (CDO) Advanced Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Chief Data Officer (CDO) Advanced Diploma Elementary modules, allowing our students to grasp each lesson quickly. The Chief Data Officer (CDO) Advanced Diploma course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Chief Data Officer (CDO) Advanced Diploma bundle, you really hit the jackpot. Here's what you get: Step by step Chief Data Officer (CDO) Advanced Diploma lessons One to one assistance from Chief Data Officer (CDO) Advanced Diplomaprofessionals if you need it Innovative exams to test your knowledge after the Chief Data Officer (CDO) Advanced Diplomacourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Chief Data Officer (CDO) Advanced Diploma courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Chief Data Officer (CDO) Advanced Diploma certificate and transcript on the next working day Easily learn the Chief Data Officer (CDO) Advanced Diploma skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Chief Data Officer (CDO) Advanced Diploma training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Chief Data Officer (CDO) Advanced Diploma Requirements To participate in this Chief Data Officer (CDO) Advanced Diploma course, all you need is - A smart device A secure internet connection And a keen interest in Chief Data Officer (CDO) Advanced Diploma Career path You will be able to kickstart your Chief Data Officer (CDO) Advanced Diploma career because this course includes various courses as a bonus. This Chief Data Officer (CDO) Advanced Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Chief Data Officer (CDO) Advanced Diploma career opportunities. 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Course Overview This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field. Course Description In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development. Course Modules: Module 01: JavaScript Getting Started Module 02: JavaScript Fundamentals Module 03: JavaScript Strings Module 04: JavaScript Operators Module 05: JavaScript Conditional Statements Module 06: JavaScript Control Flow Statements Module 07: JavaScript Functions Module 08: Data Visualization (Google Charts) Module 09: JavaScript Error Handling Module 10: JavaScript Client-Side Validations Module 11: Python Introduction Module 12: Python Basic Module 13: Python Strings Module 14: Python Operators Module 15: Python Data Structures Module 16: Python Conditional Statements Module 17: Python Control Flow Statements Module 18: Python Core Games Module 19: Python Functions Module 20: Python Args, KW Args for Data Science Module 21: Python Project Module 22: Publish Your Website for Live Module 23: MS SQL Statements Module 24: MS SQL Filtering Data Module 25: MS SQL Functions Module 26: MS SQL Joins Module 27: MS SQL Advanced Commands Module 28: MS SQL Structure and Keys Module 29: MS SQL Queries Module 30: MS SQL Structure Queries Module 31: MS SQL Constraints Module 32: MS SQL Backup and Restore (See full curriculum) Who is this course for? Individuals seeking to enhance their skills in data science. Professionals aiming to expand their knowledge in programming and database management. Beginners with an interest in Python, JavaScript, and SQL. Anyone looking to enter the field of data science or web development. Career Path Data Scientist Web Developer Database Administrator Data Analyst Front-End Developer Full Stack Developer Data Engineer

Step into the world of data analysis and gain practical experience analyzing real-world datasets with the help of this course. This course will not only guide you in analyzing data efficiently in Python from scratch but also help you in conducting your own analysis with Python and extracting valuable insights that can transform your business!

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Courses Are Included In this Advanced Computer Science Career Bundle: Course 01: Computer Science With Python Course 02: Python Programming for Everybody Course 03: C++ Development: The Complete Coding Guide Course 04: Coding with HTML, CSS, & Javascript Course 05: JavaScript Foundations for Everyone Course 06: SQL Programming Masterclass Course 07: SQL for Data Science, Data Analytics and Data Visualization Course 08: Ionic & Angular JS: Mobile and Web Development Course 09: Secure Programming of Web Applications - Developers and TPMs Course 10: Web Application Penetration Testing Course 11: Diploma in CompTIA Network+ Training Level 7 Course 12: CompTIA PenTest+ (Ethical Hacking) Course 13: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 14: R Programming for Data Science Course 15: Quick Data Science Approach from Scratch Course 16: Ionic & Angular JS: Mobile and Web Development Course 17: Machine Learning with Python Course Course 18: Spatial Data Visualization and Machine Learning in Python Course 19: Azure Machine Learning Course 20: Hands on Machine Learning Project - Auto Image Captioning for Social Media Course 21: JavaScript Project - Game Development with JS Course 22: Ultimate PHP & MySQL Web Development & OOP Coding Course 23: Masterclass Bootstrap 5 Course - Responsive Web Design Course 24: Diploma in User Experience UI/UX Design (Advanced) Course 25: Foundations of Artificial Intelligence Course 26: Project on Deep Learning - Artificial Neural Network Course 27: Encryption Course 28: Advanced Training on Windows 10 Course 29: Advance Windows 10 Troubleshooting for IT HelpDesk Course 30: Linux With Advanced Computer Science, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. 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