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Predictive Analytics

Study sheet

Predictive analytics uses historical data, statistical algorithms, and machine learning to identify the likelihood of future outcomes. You will understand how to build forecasting models, analyze trends, and assess risks to guide strategic planning.

13 resources

Level
Type

📹Videos(2)

video👁️ 0

StatQuest: Linear Regression Clearly Explained

Josh Starmer explains linear regression fundamentals

beginner🇬🇧
video👁️ 1

Neural Networks

3Blue1Brown's visual explanation of neural networks basics

beginner🇬🇧

🎓Courses(4)

course👁️ 0

Predictive Modeling and Analytics

Explore these predictive analytics courses to learn more about predictive modeling and applications such as Python and R.

intermediate🇬🇧
course👁️ 0

Machine Learning

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

beginner🇬🇧
course👁️ 0

Predictive Analytics Fundamentals

Coursera course: Predictive Analytics

intermediate🇬🇧
course👁️ 0

Advanced Predictive Analytics

With Dartmouth Engineering, you’ll learn to turn data into actionable insights with Predictive Analytics for Digital Transformation. This hands-on course equips you with Python skills, predictive modeling techniques, and analytics strategies to drive innovation and efficiency in digital transformation.

intermediate🇬🇧

📚Books(3)

book👁️ 0

Predictive Analytics

Predictive Analytics - A book resource

intermediate🇬🇧
book👁️ 0

Applied Predictive Modeling

Applied Predictive Modeling - A book resource

intermediate🇬🇧
book👁️ 0

Predictive Analytics for Dummies

Predictive Analytics for Dummies - A book resource

intermediate🇬🇧

🌐Websites(4)

website👁️ 0

Towards Data Science

Articles and tutorials on predictive analytics techniques

beginner🇬🇧
website👁️ 0

Distill.pub

Interactive articles on statistical concepts

beginner🇬🇧
website👁️ 0

datacamp.com

DataCamp is an online learning platform for data science offering interactive, hands-on courses and tracks in Python, R, SQL, and other data tools. It features coding exercises, real-world projects, and skill assessments.

intermediate🇬🇧
website👁️ 0

towardsdatascience.com

Towards Data Science is a popular online publication covering data science, AI, and machine learning, offering practical tutorials, explainers, and real-world case studies. Content includes Python and other language tutorials, code walkthroughs, project guides, tool reviews, and career insights from contributing data scientists.

intermediate🇬🇧

Frequently Asked Questions

What are the best free resources to learn Predictive Analytics?

Dantes has curated 13 resources for Predictive Analytics, including 2 videos, 3 books, 4 courses, 4 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Predictive Analytics hard to learn?

Predictive Analytics is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Predictive Analytics learning resources are available on Dantes?

For Predictive Analytics, Dantes has curated 2 videos, 3 books, 4 courses, 4 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Predictive Analytics resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Predictive Analytics, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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