9 Best Predictive Analytics Courses For Beginners in 2024

Coursesity Team -

Predictive analytics is a constituent of advanced analytics that predicts future outcomes by utilizing historical data combined with statistical modeling, data mining techniques, and machine learning. Companies use predictive analytics to discover patterns in their data and identify risks and opportunities. It is something that businesses are becoming more and more interested in, but do they really understand how predictive analytics works?

Keeping this in mind, here at Coursesity, we have curated some of the Best Online Predictive Analytics Courses with certification. Hope that you will find the best course for you to learn how to predict consumer behavior and make informed decisions.

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Best Predictive Analytics Tutorial List

  1. Introduction to Predictive Data Analytics
  2. Python Data Products for Predictive Analytics
  3. Predictive Analytics using Machine Learning
  4. Predictive Analytics for Business - with Case Studies
  5. Predictive Analytics and Data Mining
  6. Predictive Analytics
  7. Practical Predictive Analytics: Models and Methods
  8. The Essential Elements of Predictive Analytics and Data Mining Online Class
  9. Predictive Analytics Essential Training for Executives Online Class

1. Introduction to Predictive Data Analytics

Creating business value by linking historical data to the future.

What are the benefits of investing in data analytics and deploying big data analytics? To put it simply, data analytics and data insights enhance financial and marketing performance, decisions based on these analytics drive business value. Companies that have developed data analytics capabilities perform better in the market. They outperform their competition. That is the focus of this course.

In this Predictive Analytics course, you will:

  • Understand the art and science of predictive analytics to determine clear actions to enhance business results.
  • Identify the fundamentals of predictive customer analytics.
  • Apply machine learning principles to predictive analytics.
  • Understand the process that links data to business value.

The course introduces learners to predictive analytics applied to management and business administration so managers can develop more personalized customer experiences, at all customer touchpoints, throughout the customer life cycle, helping to increase customer loyalty and revenue.

This course will cover the fundamentals of predictive data analytics. During this course, students will learn the principles of predictive data analytics using the Cross-Industry Standard Process Model for Data Mining (CRISP-DM), which links business understanding, data, and methods with business value.

Course rating: 4.7 out of 5.0
Duration: 4h
Certificate: Certificate on completion

2. Python Data Products for Predictive Analytics

Learn Python Data Products for Predictive Analytics from the University of California San Diego.

This specialization is suitable for learners with a basic understanding of Python. You will start by developing your first data strategy. The course also teaches you how to build statistical models, design data-driven workflows, and make meaningful predictions for various business and research purposes.

In this Predictive Analytics course, you will:

  • Learn how to transform data to make it suitable for data-driven predictive tasks.
  • Understand how to compute basic statistics using real-world datasets of consumer activities, like product reviews and more.
  • Use Python to create interactive data visualizations to create influential predictions and simple demos.
  • Perform simple regressions and classifications on datasets using machine learning libraries.

Last but not least, you'll extract insights from multiple data sources using design thinking methodologies and data science approaches. Take advantage of this opportunity to learn one of the industry's most in-demand skills.

Course rating: 4.2 out of 5.0 (155 Ratings total)
Duration: 40h
Certificate: Certificate on completion

3. Predictive Analytics using Machine Learning

Learn how to build predictive models using machine learning.

This course will introduce you to machine learning-based approaches for predictive modeling, such as tree-based methods, support vector machines, and neural networks using Python. Models like these are the underlying foundation for cutting-edge analytics tools such as image classification, text analysis, and sentiment analysis.

In this Predictive Analytics course, you will:

  • Apply machine learning models to business situations.
  • Understand the difference between machine learning and other statistical models.
  • Practice building tree-based models, support vector machines, and neural networks.
  • Implement the theoretic models in machine learning-based software packages in Python.

The course includes two case studies: forecasting customer behavior after a marketing campaign and predicting flight delays and cancellations. You will also learn sampling techniques like bagging and boosting that improve robustness and overall predictive power, as well as random forest techniques.

Certificate: Certificate on completion

4. Predictive Analytics for Business - with Case Studies

Learn how to create important business insights through Predictive Analytics.

The course aims to help business professionals and others learn predictive analytic skills applicable to the business environment. It does not delve too deeply into the mathematics of the statistical models since it is intended for business professionals.

In this Predictive Analytics course, you will:

  • Learn Predictive Analytics for Business.
  • Learn the various applications of Predictive Analytics in business.
  • Apply Predictive Analytics in business through the following cases studies: B2B Churn, Customer Segmentation, Direct Marketing, Market Basket Analysis.

Case studies conducted on Rapidminer include B2B Churn of an office supply distributor, Market Basket Analysis of a retail computer store, Customer Segmentation of a customer database, and Direct Marketing.

Models used include Linear Regression, Logistic Regression, Association Rules, K-means Clustering, and Decision Trees. Using these studies, we generate practical business insights.

Course rating: 4.2 out of 5.0 (155 Ratings total)
Duration: 1h
Certificate: Certificate on completion

5. Predictive Analytics and Data Mining

Learn Predictive Analytics and Data Mining from the University of Illinois at Urbana-Champaign.

The course aims to introduce students to the science of business analytics along with the art and science of handling numbers in the digital sphere. The goal is to provide businesses and managers with the knowledge and tools necessary to apply data analytics to the real-world issues they face every day in their professional lives.

Topics in this Predictive Analytics course include:

  • Drowning in Data, Starving for Knowledge
  • Decision Trees
  • Rules, Rules, and More Rules
  • Model Performance and Recommendation Systems

Students will learn to identify the most appropriate analytic tool for their specific needs, understand valid and reliable ways to collect, analyze, and visualize data, and use that data for decision-making for their agencies, organizations, or clients.

Course rating: 4.4 out of 5.0 (9,659 total enrollments)
Duration: 24h
Certificate: Certificate on completion

6. Predictive Analytics

Master the tools of predictive analytics in this statistics-based analytics course.

Predictive analytics is emerging as a competitive strategy across many business sectors and can set apart high-performing companies. It aims to predict the probability of the occurrence of a future event such as customer churn, loan defaults, and stock market fluctuations – leading to effective business management.

In this Predictive Analytics course, you will:

  • Understand the predictive analytics process.
  • Gather and prepare data for predictive modeling.
  • Clean datasets to prevent data quality issues in your models.
  • Implement linear and logistic regression models using real-life data.

The course will also prepare the learner for a career in the field of data analytics. If you are in the quest for the right competitive strategy to make companies successful, then you can join this course to master the tools of predictive analytics.

Certificate: Certificate on completion

7. Practical Predictive Analytics: Models and Methods

Statistical experiment design and analytics are at the heart of data science.

The course teaches you how to design statistical experiments and analyze results using modern methods. In addition, you will learn how to identify the pitfalls associated with statistical arguments, particularly those that deal with big data.

Topics in this Predictive Analytics course include:

  • Practical Statistical Inference
  • Supervised Learning
  • Optimization
  • Unsupervised Learning

This course will help you master a core set of methodological and conceptual approaches to machine learning and then apply them to solve various real-world problems.

Course rating: 4.1 out of 5.0 (34,607 total enrollments)
Duration: 7h
Certificate: Certificate on completion

8. The Essential Elements of Predictive Analytics and Data Mining Online Class

Explore a real-world project, from defining the problem to putting the solution into practice; review CRISP-DM; and more.

Data-mining and predictive analytics projects can involve several individuals and are time-consuming. It is also important to avoid errors. Maintaining an overall perspective is vital to the success of the project. This course gives you that perspective through the eyes of a practitioner who has completed dozens of real-world projects.

Topics in this Predictive Analytics course include:

  • What Is Data Mining and Predictive Analytics?
  • Problem Definition
  • Data Requirements
  • Resources You'll Need
  • Problems You'll Face
  • Finding the Solution
  • Putting the Solution to Work
  • CRISP-DM and the Nine Laws

The steps involved in a typical project will be discussed, starting with defining the problem and finding resources to implement the solution. As a part of the course, you will also learn about CRISP-DM (the standard data-mining methodology) and the nine laws of data mining, which will help you identify business value and strategies.

Course rating: 73,226 total enrollments
Duration: 1h 28m
Certificate: Certificate on completion

9. Predictive Analytics Essential Training for Executives Online Class

Learn how to hire and manage data science professionals and transform your business with effectively deployed advanced analytics.

This course teaches executives who aren't fluent in data analytics how to hire data scientists, manage data scientists, and effectively deploy advanced analytics. In the course, you'll learn how to hire a data science team with a well-rounded approach, including how to identify top-performing data scientists.

Topics in this Predictive Analytics course include:

  • Getting Serious about Analytics
  • Hiring for Analytics
  • What to Consider before Buying Software
  • Organizational Structure

In addition, it discusses how to navigate the various analytics and machine learning software options on the market, how to integrate data science into your organization, and more.

Course rating: 27,136 total enrollments
Duration: 1h 20m
Certificate: Certificate on completion

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