Salesforce Data Cloud Mastery: Certified Consultant Skills Path

Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will learn how to leverage Salesforce Data Cloud to transform and manage organizational data effectively. As you progress, you will explore the lifecycle, setup, and administration of Data Cloud, gaining hands-on experience with data ingestion, identity resolution, segmentation, and data actions. With real-world case studies and demos, you'll be empowered to implement best practices in data cloud management. By the end of the course, you'll be able to streamline data operations, optimize data flow, and integrate external data sources seamlessly. Throughout the course, you'll explore modules covering Data Cloud's key features, from setup to advanced identity management and data analysis. Starting with an introduction to the Data Cloud, you'll then dive deeper into aspects like provisioning, segmentation, and the creation of actionable insights. By tackling practical exercises, you will gain essential skills to manage data, segment audiences, and resolve identities effectively within Data Cloud. This course is designed for anyone seeking to build or refine their skills in Salesforce Data Cloud. Whether you're a consultant, data engineer, or business analyst, you'll benefit from understanding the comprehensive Data Cloud setup and administration process. Basic familiarity with data management tools is recommended, but the course is accessible to those new to Salesforce. By the end of the course, you will be able to configure Data Cloud environments, manage data ingestion and integration, create and manage segments, utilize advanced identity resolution techniques, and perform detailed data analysis with tools like Data Explorer and APIs.

Syllabus

Introduction to the Data Cloud Consultant Course

In this module, we will introduce you to the course’s structure and objectives, guiding you through the essential topics and skills you'll gain. You will also understand the journey ahead and what you can expect from each section of the course.

Data Cloud Overview (18%)

In this module, we will explore the fundamentals of Data Cloud, including its key benefits, lifecycle, and essential use cases. You'll also discover how to set up Data Cloud and configure it effectively for your organization's needs.

Data Cloud Setup and Administration (12%)

In this module, we will cover the essential steps for setting up Data Cloud, including the creation of accounts, configuration of endpoints, and data loading processes. You will also learn to create and manage Data Streams to enhance your project’s functionality.

Data Ingestion and Modeling (20%)

In this module, we will dive into the process of data ingestion and modeling within Data Cloud. This includes understanding data objects, setting up data spaces, and working with tools like Data Explorer and Query Editor to visualize and manage your data effectively.

Identity Resolution (14%)

In this module, we will explore the concept of Identity Resolution and how to ensure consistent data management using Matching Rules, Consolidation Rates, and Reconciliation Rules. You will also learn techniques to improve data processing efficiency.

Segmentation and Insights (18%)

In this module, we will focus on advanced data segmentation and insights generation. You will learn how to create valuable insights, organize data into segments, and refine these segments using various operators to enhance your data analysis.

Act on Data (18%)

In this module, we will guide you through the process of taking action on your data within Data Cloud. From activation and automation to real-time monitoring and API integration, you will learn the tools and techniques to execute and manage data-driven tasks effectively.

New Updates to Data Cloud / Data 360

In this module, we will introduce the latest updates to Data Cloud and Data 360, focusing on new governance features, permission sets, and security measures. You will also learn how to manage data access through classification, tagging, and policies.