Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics (Coursera)

Coursera

Meta

Working with Data in Android (Coursera)

CS: Software Engineering

Learn how to work with web technologies and persistent data on Android applications even after you close or restart an app. There is a focus on web communication and developer tools and you will discover how Kotlin applications communicate over the web. You’ll learn how data formats and web protocols work in relation to Kotlin apps. Furthermore, you will practice applying asynchronous programming techniques using Kotlin.

Aug 3rd 2026

5-12 Weeks

Data Android Databases

Details

Coursera

Johns Hopkins University

Data and Health Indicators in Public Health Practice (Coursera)

Health & Society Medicine & Pharmacology

Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies. In this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving methodology and demonstrate how it can be used in a wide variety of settings to identify problems, propose solutions, and evaluate interventions.

Aug 10th 2026

4 Weeks

Health Data Disease

Details

Coursera

Meta

Working with Data in iOS (Coursera)

CS: Software Engineering Computer Science

This course introduces you to the core principles of working with data in iOS. You will delve deeper into the processes and concepts behind APIs, explore data formats that allow you to transfer data between servers and devices and discover how to work with data in Swift using Core Data.

Aug 3rd 2026

4 Weeks

Data iOS APIs

Details

Coursera

SAS

Building a Large-Scale, Automated Forecasting System (Coursera)

Statistics & Data Analysis Data Science

In this course you learn to develop and maintain a large-scale forecasting project using SAS Visual Forecasting tools. Emphasis is initially on selecting appropriate methods for data creation and variable transformations, model generation, and model selection. Then you learn how to improve overall baseline forecasting performance by modifying default processes in the system.

Aug 3rd 2026

5-12 Weeks

Forecasting Coursera Plus Analyzing Time Series and Sequential Data Specialization

Details

Coursera

Illinois Tech

Introduction to Time Series (Coursera)

Statistics & Data Analysis Data Science

This course introduces basic time series analysis and forecasting methods. Topics include stationary processes, ARMA models, modeling and forecasting using ARMA models, nonstationary and seasonal time series models, state-space models, and forecasting techniques.

Aug 3rd 2026

5-12 Weeks

Data Analysis Statistical Analysis Forecasting

Details

Coursera

University of Illinois at Urbana-Champaign

Forecasting Financial Statements & Valuation for Accountants (Coursera)

Economics & Finance

The objective of this course is to provide you with the knowledge and skills necessary to analyze, interpret, understand and use financial information to make informed decisions. We will discuss financial reporting from a user’s perspective, use a variety of tools to break apart financial reports into meaningful units for analysis, forecast financial statements, and value a firm. This course is intended to give you exposure to the issues facing users of financial statements. You will better understand your role in the financial reporting process if you know how the financial statements will ultimately be used.

Aug 17th 2026

5-12 Weeks

Finance Valuation Forecasting

Details

Coursera

Johns Hopkins University

Calculus through Data & Modelling: Vector Calculus (Coursera)

Sci: Mathematics

This course continues your study of calculus by focusing on the applications of integration to vector valued functions, or vector fields. These are functions that assign vectors to points in space, allowing us to develop advanced theories to then apply to real-world problems. We define line integrals, which can be used to fund the work done by a vector field. We culminate this course with Green's Theorem, which describes the relationship between certain kinds of line integrals on closed paths and double integrals.

Aug 3rd 2026

3 Weeks

Calculus Data Integrals

Details

Coursera

University of Colorado Boulder

Communicating Business Analytics Results (Coursera)

Statistics & Data Analysis Data Science

The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This depends on the ability to communicate results to those who make decisions.

Aug 3rd 2026

4 Weeks

Business Data Selling

Details

Coursera

University of California, Irvine

Data, Security, and Privacy (Coursera)

CS: Information & Technology

This course provides hands-on experience with technology-based productivity tools, as well as foundational knowledge and understanding of system design and development. The course is designed to integrate concepts of hardware, software, and the Internet. This course also provides an overview of data security, data privacy, and ways to increase productivity and efficiency. Students will also investigate technology career paths and some of the various certifications available in the industry.

Aug 3rd 2026

3 Weeks

Data Security Ethics

Details

Coursera

University of Copenhagen,Sorbonne University,University of Warsaw,University of Milan,Charles University,4EU+ Alliance

Data Literacy – What is it and why does it matter? (Coursera)

Social Sciences

You might already know that data is not neutral. Our values and assumptions are influenced by the data surrounding us - the data we create, the data we collect, and the data we share with each other. Economic needs, social structures, or algorithmic biases can have profound consequences for the way we collect and use data. Most often, the result is an increase of inequity in the world. Data also changes the way we interact. It shapes our thoughts, our feelings, our preferences and actions.

Aug 17th 2026

3 Weeks

Data Data-Driven Data Literacy

Details

Coursera

University at Buffalo,The State University of New York

Applied Analytics and Data for Decision Making (Coursera)

Business

By the end of this course, learners are prepared to identify and test the best solutions for improving performance and integrating concepts from operational excellence methodologies for optimum data-driven decision making. The course begins with a focus on deciphering the root cause of problems through a variety of tools before determining and assessing best-fit solutions. Learners discover how to apply ISO, Lean and Six Sigma in the pursuit of aligning organizational operations data with performance standards. Hospitality, manufacturing and e-commerce case studies help illustrate how to build data literacy while ensuring privacy and data ethics measures are in place.

Aug 3rd 2026

4 Weeks

Data Business Strategy Decision Making

Details

Coursera

Google

Process Data from Dirty to Clean (Coursera)

Statistics & Data Analysis Data Science

This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Jul 28th 2026

5-12 Weeks

Data Databases SQL

Details