Salesforce Capstone: Organization Integration (Coursera)

Salesforce Capstone: Organization Integration (Coursera)

In Salesforce Capstone: Organization Integration, the final course of the Salesforce Fundamentals Specialization, learners will complete the Business Administration Specialist Superbadge as their main project. This project asks learners to combine all the skills and knowledge areas that they have collected from the previous three courses. Skill areas to be demonstrated include cleaning and importing account data, adding users and managing access, building email templates for new marketing needs, configuring UI tools for a new product type, generating reports and dashboards, managing and applying Chatter tools, and participating in the deployment of Salesforce within an organization.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

In addition to the project, the course includes a peer discussion opportunity, a demonstration video, and a peer review assignment. Completion of the Salesforce Fundamentals specialization and the Business Administration Specialist Superbadge prepares learners to take the Salesforce Administrator exam.
What You Will Learn

  • Deployment of Salesforce within an organization.

Course 4 of 4 in the Salesforce Fundamentals Specialization

Syllabus

WEEK 1
Salesforce Capstone: Organization Integration
In Salesforce Capstone: Organization Integration, the final course of the Salesforce Fundamentals specialization, you will complete the Business Administration Specialist Superbadge as the main project. This project asks you to combine all the skills and knowledge areas that they have collected from the previous three courses.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data Science in Real Life (Coursera) Coursera
Johns Hopkins University

Data Science in Real Life (Coursera)

Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses.

Jun 1st 2026
1 Week
Leading Innovation in Arts and Culture (Coursera) Coursera
Vanderbilt University,National Arts Strategies - NAS

Leading Innovation in Arts and Culture (Coursera)

Developed by David Owens at Vanderbilt University and customized for the cultural sector with National Arts Strategies, this course will help arts and culture leaders create an environment where new ideas are constantly created, shared, evaluated and the best ones are successfully put to work. One of the toughest challenges for any leader is getting traction for new ideas. Winning support can be a struggle. As a result, powerful new ideas often get stuck. This is especially true in the cultural sector. People involved in arts and culture often have little time and even less money for experimentation and risks. This course will help those in the performing arts, museums, zoos, libraries and other cultural organizations build environments where new management and program ideas flourish.

Jun 1st 2026
5-12 Weeks
Data Science Companion (Coursera) Coursera
MathWorks

Data Science Companion (Coursera)

The Data Science Companion provides an introduction to data science. You will gain a quick background in data science and core machine learning concepts, such as regression and classification. You’ll be introduced to the practical knowledge of data processing and visualization using low-code solutions, as well as an overview of the ways to integrate multiple tools effectively to solve data science problems.

Jun 5th 2026
4 Weeks
GIS Data Formats, Design and Quality (Coursera) Coursera
University of California, Davis

GIS Data Formats, Design and Quality (Coursera)

In this course, the second in the Geographic Information Systems (GIS) Specialization. What you will learn: design data tables and use separating and joining data in a relational database; write query strings to subset data; create and work with raster data; create web maps.

Jun 1st 2026
4 Weeks
Modeling Risk and Realities (Coursera) Coursera
University of Pennsylvania

Modeling Risk and Realities (Coursera)

Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. In this course, you can learn how to create quantitative models to reflect complex realities, and how to include in your model elements of risk and uncertainty.

Jun 1st 2026
4 Weeks
Fundamentals of Project Planning and Management (Coursera) Coursera
University of Virginia

Fundamentals of Project Planning and Management (Coursera)

Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks.

Jun 1st 2026
4 Weeks
Data Management and Visualisation (Coursera) Coursera
Wesleyan University

Data Management and Visualisation (Coursera)

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly.

Jun 1st 2026
4 Weeks
Palo Alto Networks Cybersecurity Foundation (Coursera) Coursera
Palo Alto Networks

Palo Alto Networks Cybersecurity Foundation (Coursera)

In this course, students will learn fundamental principles associated with the current cybersecurity landscape and identify concepts required to recognize and potentially mitigate attacks against enterprise networks as well as mission critical infrastructure. Students will also learn how to initially setup and configure security zones, authentication, and policies on a next generation firewall.

Jun 2nd 2026
5-12 Weeks
Strategic Planning and Execution (Coursera) Coursera
University of Virginia

Strategic Planning and Execution (Coursera)

Avoid the pitfalls of strategy planning and execution with the tools and skills from this course. You'll learn the pillars of strategy execution--analysis, formulation, and implementation--and how to use the 4A model to effectively approach strategy execution. Finally, a panel of leaders from entrepreneurs, nonprofits, and industry, share their expertise gleaned from years of successful strategy planning and execution.

Jun 1st 2026
4 Weeks
Model Thinking (Coursera) Coursera
University of Michigan

Model Thinking (Coursera)

We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet.

Jun 1st 2026
5-12 Weeks
Firm Level Economics: Consumer and Producer Behavior (Coursera) Coursera
University of Illinois at Urbana-Champaign

Firm Level Economics: Consumer and Producer Behavior (Coursera)

All goods and services are subject to scarcity at some level. Scarcity means that society must develop some allocation mechanism – rules to determine who gets what. Over recorded history, these allocation rules were usually command based – the king or the emperor would decide. In contemporary times, most countries have turned to market based allocation systems. In markets, prices act as rationing devices, encouraging or discouraging production and encouraging or discouraging consumption in such a way as to find an equilibrium allocation of resources.

Jun 1st 2026
4 Weeks
Surviving Disruptive Technologies (On Demand) (Coursera) Coursera
University of Maryland, College Park

Surviving Disruptive Technologies (On Demand) (Coursera)

The purpose of this course is to help individuals and organizations survive when confronted with disruptive technologies that threaten their current way of life. We will look at a general model of survival and use it to analyze companies and industries that have failed or are close to failing. Examples of companies that have not survived include Kodak, a firm over 100 years old, Blockbuster and Borders.

Jun 1st 2026
4 Weeks