Free Online Intelligence Analyst Courses and Certifications 2024

This course is designed to equip learners with the skills and knowledge to pursue a career in Criminal Intelligence. It covers techniques to analyse data and security to detect, prevent, control and respond to all forms of crime and security issues. Learners will gain a thorough understanding of the disciplines of security and criminology, the nature of security threats, security threat management, and neutralisation. Upon successful completion, learners can order an endorsed certificate from the Quality Licence Scheme and a CPD Certificate from One Education. This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. Subscribe to One Education's YouTube channel and follow them on social media for regular updates.

Discover the secrets of effective data management with the Data Ecosystem course. Gain a comprehensive understanding of the entire data ecosystem, including data sources, organization, and access. Learn how to harness the power of data as a business intelligence analyst. Dive into the world of data quality and governance, and understand the principles that underpin modern data architecture. With this course, you'll be equipped with the knowledge and skills needed for entry-level roles in business analytics. Don't miss out on this opportunity to enhance your career prospects. Enroll now and unlock the potential of data!

Learn how to build a powerful clustering model using PyCaret, a low-code Python open-source Machine Learning library, in just 1 hour! In this guided project, you will discover how to segment wholesale customers based on their historical purchases. With PyCaret, you can automate the major steps of building, evaluating, comparing, and interpreting Machine Learning Models for clustering. Perfect for seasoned Data Scientists looking to accelerate their efficiency in building POC and experiments, as well as Citizen Data Scientists wanting to add machine learning models to their analytics toolkit. Familiarity with Python and basic Machine Learning concepts is recommended for success in this course. Don't miss out on this opportunity to enhance your skills and advance your career!

Learn how to build a powerful classification model using PyCaret, a low-code Python open-source Machine Learning library, in just 1 hour! This project-based course will guide you through the entire process of creating an end-to-end model that accurately predicts whether a teacher's project proposal will be accepted. From framing the problem to deploying the model, you'll gain hands-on experience in automating the major steps of building, evaluating, comparing, and interpreting Machine Learning Models for classification. Perfect for seasoned Data Scientists looking to accelerate their efficiency or Citizen Data Scientists wanting to add machine learning models to their analytics toolkit. Basic Python and Machine Learning knowledge required. Don't miss out on this opportunity to enhance your skills! (80 words)

Learn how to build an accurate Regression model using PyCaret, a low-code Python open-source Machine Learning library, in just 1 hour! This project-based course will guide you through the major steps of framing the problem, preparing and visualizing the data, creating a transformation pipeline, and building, evaluating, interpreting, and deploying the model. Perfect for seasoned Data Scientists looking to accelerate their efficiency, as well as Citizen Data Scientists wanting to add machine learning models to their analytics toolkit. Familiarity with Python and basic Machine Learning concepts is recommended. Don't miss out on this opportunity to enhance your skills!

Learn how to predict customer sentiment using natural language processing techniques in the hands-on course "Amazon Echo Reviews Sentiment Analysis Using NLP." Discover how to build a machine learning model that analyzes thousands of Amazon Echo reviews to accurately predict customer sentiment. This practical project is directly applicable to any company with an online presence, as AI/ML-based sentiment analysis is crucial for understanding customer satisfaction. Gain the skills to automatically detect customer sentiment and improve your company's customer experience. Please note that this course is currently optimized for learners based in North America.

Learn the ins and outs of support vector machines (SVMs) with scikit-learn in this hands-on project. Discover the power of SVMs, a class of supervised linear models, and gain the intuition behind their functioning. With the help of Python and scikit-learn, you'll be able to apply SVMs to your own classification tasks, including building a simple facial recognition model. This course, available on Coursera's Rhyme platform, provides instant access to pre-configured cloud desktops with all the necessary software and data. Don't miss out on this opportunity to enhance your machine learning skills.

Learn how to build Classification Trees in Python with this 1-hour project-based course. Using a real-world dataset with missing and categorical data, you'll discover how to transform it with One-Hot Encoding. By implementing Cost Complexity Pruning and Cross Validation, you'll create a tree that avoids overfitting to the Training Dataset. This course is hosted on Coursera's hands-on project platform, Rhyme, where you can access pre-configured cloud desktops with all the necessary software and data. No setup required, just focus on learning. Prior knowledge of Python and Decision Trees is recommended. Join now and enhance your data analysis skills!

Join this project-based course, "Decision Tree Classifier for Beginners in R," and dive into the world of statistical modeling. In just 2 hours, you'll learn how to build decision tree models using the tree and rpart libraries in R. Explore the Sonar dataset, understand the intuition behind the decision tree algorithm, and evaluate model performance using metrics like Accuracy, Sensitivity, and F1-Score. No prior data analyst or data scientist experience required, but basic knowledge of R is necessary. If you're ready to get your hands dirty, join now and embark on this beautiful journey!

Learn how to use Naïve Bayes Classifier to predict whether a resume is flagged or not in this comprehensive course. With a training data set of 125 resumes, including 33 flagged and 92 non-flagged resumes, you will gain the skills to effectively screen resumes in companies. This practical project will equip you with the knowledge to make informed decisions using machine learning techniques. Don't miss out on this opportunity to enhance your resume selection process. Enroll now and take your career to new heights.

Learn how to build a Support Vector Machine for classification using scikit-learn and the Radial Basis Function (RBF) Kernel in this comprehensive course. Using real-world data from the UCI Machine Learning Repository, you will predict whether or not a patient has heart disease. This hands-on project on Coursera's Rhyme platform provides instant access to pre-configured cloud desktops with all the necessary software and data. Perfect for Python programmers familiar with Support Vector Machines, Radial Basis Function, Regularization, Cross Validation, and Confusion Matrices. Don't miss out on this opportunity to enhance your skills.

This self-paced lab in the Google Cloud console is perfect for anyone looking to get the best possible quality from their Speech-to-Text systems. With this course, you'll learn how to measure and improve the accuracy of your speech data. You'll also gain an understanding of the tools available in the Google Cloud console to help you achieve this. So, if you're looking to get the most out of your Speech-to-Text systems, this course is for you.

Discover how to build a powerful recommendation engine with the "Recommendation Systems on Google Cloud" course. Perfect for those with a solid understanding of classification models and embeddings, this course will guide you through the process of creating a machine learning pipeline that functions as a top-notch recommendation system. As the final installment of the Advanced Machine Learning on Google Cloud series, this course will equip you with the skills needed to take your machine learning expertise to the next level. Don't miss out on this opportunity to enhance your knowledge and boost your career in the field of machine learning.

Learn how to create professional documents with Google Docs in this comprehensive course. Discover how to format text, create headers and footers, and use tables and charts to enhance your documents. You'll also learn how to insert dynamic charts that automatically update. Plus, find out how to share and protect your documents while collaborating with others. Don't miss out on this opportunity to master Google Docs and boost your productivity. Sign up now! (80 words)

This guided project is perfect for anyone interested in exploring Natural Language Processing (NLP) projects. In this project, you will compare the 1984 novel by George Orwell and the 1984 album by Van Halen using NLP techniques such as summarizing text, sentiment analysis, and word clouds. By the end of this project, you will have a beginner's understanding of building NLP projects. Join them and explore the fun and interactive world of NLP!

Discover the power of Kaggle with this comprehensive course! Join now to explore Kaggle Competitions, Datasets, Notebooks, Discussion forums, and Courses. Learn how to create a Kaggle account and dive into the exciting world of competitions, including the famous Titanic Machine learning challenge. Explore the vast collection of datasets and leverage the cloud-based coding environment of Kaggle Notebooks. Unleash your creativity with the "Copy and Edit" feature, allowing you to build upon the work of others. Engage with the Kaggle community through the discussion forum and enhance your knowledge with theoretical and practical Kaggle courses. Become a confident data scientist and machine learning expert with Kaggle!