Foundations of Predictive Analytics: Regression and Classification from edX

The course provides practical guidance on implementing predictive analytics to achieve business goals. You will explore the different stages of a data analytics pipeline, including data collection, data cleaning, and data analysis.

You will discover how regression analysis can be used to identify relationships between variables for business decision-making and find out how sales data is used to probe customer behavior ahead of further analysis. You will also learn how to estimate relationships between variables with regression analysis and review whether a regression model meets specified business success criteria. Lastly, you will delve into the value and practical considerations of using classification models to customize business strategies.

What you'll learn

Identify areas where predictive analytics can be applied to achieve business objectives.
Evaluate data requirements and sources needed for predictive analytics projects.
Choose appropriate regression analysis techniques based on business objectives.
Analyze model outputs and determine if further iterations are necessary to improve model accuracy.
Evaluate classification approaches and limitations to determine the best approach for achieving business goals.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops relationships between variables with regression analysis, which lays the groundwork for more complex predictive analytics applications

Introduces concepts of customer behavior and the role of sales data in understanding it, bridging the gap between data and business

Explores practical considerations for utilizing classification models, empowering learners to adapt analytics to specific business strategies

Emphasizes business relevance throughout, ensuring that learners grasp the practical implications of predictive analytics

Appropriate for beginners in predictive analytics, providing a solid foundation in data handling and analysis techniques

Career center

Learners who complete Foundations of Predictive Analytics: Regression and Classification will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use data to solve problems and make better decisions. They work with data from a variety of sources to uncover patterns and trends. Data Scientists may also develop predictive models to help businesses make better decisions.

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Statistician

Statisticians use data to collect, analyze, interpret, and present information. They work in a variety of industries, including business, finance, healthcare, and government. The Foundations of Predictive Analytics course can help Statisticians develop the skills they need to succeed in this role.

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Data Analyst

Data Analysts use data to solve problems and make better decisions. They work in a variety of industries, including business, finance, healthcare, and government. The Foundations of Predictive Analytics course can help Data Analysts develop the skills they need to succeed in this role.

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Quantitative Analyst

Quantitative Analysts use data to develop models for金融 markets. They work for a variety of companies, including investment banks, hedge funds, and asset management firms. The Foundations of Predictive Analytics course can help Quantitative Analysts develop the skills they need to succeed in this role.

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Machine Learning Engineer

Machine Learning Engineers design, build, and deploy machine learning models. Machine learning models are an important tool for classifying and predicting data, making them useful in a variety of applications, including image recognition, natural language processing, and fraud detection. Statistical knowledge and regression analysis techniques are typically needed for this role. The Foundations of Predictive Analytics course can help Machine Learning Engineers develop the skills they need in these two areas

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Business Analyst

A Business Analyst's job is to help businesses make better decisions. In order to do this, they need to be able to analyze data and identify patterns. The Foundations of Predictive Analytics course can help Business Analysts develop the skills they need to do this, and can also introduce students to valuable tools, including regression analysis and classification models.

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Market Researcher

Market Researchers collect and analyze data about customers and markets. They use this information to help businesses make better decisions about product development, marketing, and sales. Predictive analytics techniques are commonly used by Market Researchers to gain deeper insights from data. The Foundations of Predictive Analytics course can help Market Researchers develop the skills they need to succeed in this role.

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Risk Analyst

Risk Analysts use data to identify and assess risks. They work in a variety of industries, including banking, insurance, and healthcare. Classification models and other predictive analytics techniques are commonly used for risk assessment, and the Foundations of Predictive Analytics course can help Risk Analysts develop the skills they need to succeed.

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Econometrician

Econometricians use data to study economic relationships. They work for a variety of organizations, including government agencies, businesses, and research institutions.

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Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of business operations. They work in a variety of industries, including manufacturing, transportation, and healthcare. Regression analysis is used in operations research to optimize processes and identify areas for improvement. The Foundations of Predictive Analytics course can help Operations Research Analysts develop the skills they need to succeed in this role.

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Financial Analyst

Financial Analysts use data to make investment recommendations. They work for a variety of companies, including investment banks, hedge funds, and asset management firms. Regression analysis and other predictive analytics techniques are commonly used for analyzing financial data. The Foundations of Predictive Analytics course can help Financial Analysts develop the skills they need to succeed in this role.

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Product Manager

Product Managers are responsible for the development and launch of new products. They work closely with engineers, designers, and marketers to bring new products to market. Predictive analytics can be used to identify customer needs, optimize pricing, and forecast demand. The Foundations of Predictive Analytics course can help Product Managers develop the skills they need to succeed in this role.

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Operations Manager

Operations Managers are responsible for the day-to-day operations of a company. They oversee a variety of functions, including production, inventory management, and customer service. Predictive analytics can be used to improve efficiency and make better decisions in all of these areas. The Foundations of Predictive Analytics can help Operations Managers develop the skills they need to succeed in this role.

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Actuary

Actuaries use data to assess risk and calculate probabilities. They work in a variety of industries, including insurance, banking, and healthcare. The Foundations of Predictive Analytics course can help Actuaries develop the skills they need to succeed in this role.

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Project Manager

Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders to define project goals, develop project plans, and track progress. Predictive analytics can be used to identify risks, allocate resources, and optimize project schedules. The Foundations of Predictive Analytics course can help Project Managers develop the skills they need to succeed in this role.

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