Data & Analytics Course Bundle

The demand for data professionals has never been higher. Organizations across every industry — from financial services and healthcare to retail, logistics, and government — are actively seeking individuals who can collect, store, manage, query, analyze, and visualize data in meaningful ways. The ability to work confidently with relational databases, business intelligence tools, web analytics platforms, and cloud infrastructure is no longer a niche technical skill; it has become a core professional competency for anyone building a career in technology, business intelligence, or data science.

The Data & Analytics Course Bundle on Horizons Unlimited has been carefully assembled to address this growing demand. Rather than purchasing individual courses on fragmented topics, learners gain access to a cohesive, structured educational journey through 10 expert-led courses, totaling 86 hours and 7 minutes of video content, 605 individual video lessons, and 97 structured learning modules. This bundle covers the full spectrum of data skills — from foundational database design and SQL querying, to advanced data analysis, cloud computing with AWS, business intelligence with Microsoft Power BI, web analytics with Google Analytics 4, and certification preparation for the CompTIA Data+ exam.

Whether you are entering the data field for the first time, transitioning from a different technical discipline, or looking to formalize and expand an existing skill set, this bundle provides the depth, breadth, and practical structure necessary to build genuine, market-relevant competency.

The Data & Analytics Course Bundle on Horizons Unlimited has been carefully assembled to address this growing demand. Rather than purchasing individual courses on fragmented topics, learners gain access to a cohesive, structured educational journey through 10 expert-led courses, totaling 86 hours and 7 minutes of video content, 605 individual video lessons, and 97 structured learning modules. This bundle covers the full spectrum of data skills — from foundational database design and SQL querying, to advanced data analysis, cloud computing with AWS, business intelligence with Microsoft Power BI, web analytics with Google Analytics 4, and certification preparation for the CompTIA Data+ exam.

Whether you are entering the data field for the first time, transitioning from a different technical discipline, or looking to formalize and expand an existing skill set, this bundle provides the depth, breadth, and practical structure necessary to build genuine, market-relevant competency.

Why a Bundled Learning Approach Is More Effective

Learning data skills in isolation has significant limitations. A professional who knows SQL but has no exposure to visualization tools cannot effectively communicate analytical findings to stakeholders. A business analyst comfortable with Google Analytics but unfamiliar with structured query languages will struggle to work with raw database systems. A data engineer skilled in cloud infrastructure but unversed in certification frameworks may find it difficult to validate their expertise on the job market.

Bundled learning addresses these gaps by connecting related disciplines into a unified path. When a learner progresses from SQL Server database design into querying, then into data analysis, then into visualization with Power BI, and eventually into web analytics and cloud computing, each course reinforces and builds upon the last. Concepts introduced in one module appear again in a different context in the next, deepening comprehension and improving long-term retention.

The Data & Analytics Course Bundle on Horizons Unlimited is structured precisely with this progression in mind. The courses are not randomly grouped — they follow a logical instructional sequence that takes learners from foundational infrastructure to advanced analytical application.

1. SQL Server 2019 Database Design

6 Hours 22 Minutes | 37 Videos | 7 Modules

Every structured data journey begins with understanding how data is stored. The SQL Server 2019 Database Design course establishes the foundational architecture of modern relational databases. Learners are introduced to the principles of database schema construction, including entity-relationship modeling, normalization, table creation, constraint definition, and primary and foreign key relationships.

This course covers the internal workings of Microsoft SQL Server 2019 — one of the most widely deployed enterprise database platforms in the world. Students learn how to architect a database from the ground up, design efficient table structures, define data types, and implement integrity constraints that ensure data accuracy and consistency over time.

A well-designed database is the backbone of every analytical system, reporting pipeline, and application backend. Without this foundational understanding, subsequent SQL querying and data analysis work lacks the structural context needed to be truly effective. This course provides that context in a concise, focused format across seven carefully organized modules.

2. Microsoft 70-461: Querying SQL Server 2012

12 Hours 22 Minutes | 84 Videos | 16 Modules

The Microsoft 70-461 exam — Querying Microsoft SQL Server 2012 — was one of the cornerstone certifications in the Microsoft data certification path. While the exam itself has been retired, the curriculum it tested remains deeply relevant to working SQL professionals. This course is the most comprehensive SQL querying resource in the bundle, spanning 12 hours and 22 minutes across 84 videos and 16 detailed modules.

Learners work through the complete T-SQL language, including SELECT statements, filtering with WHERE clauses, joining multiple tables, aggregation with GROUP BY, window functions, subqueries, common table expressions (CTEs), stored procedures, views, indexes, and transaction management. The depth of coverage in this course ensures that learners move well beyond basic syntax into genuine SQL fluency.

For anyone who works — or intends to work — with relational databases in a professional environment, this course represents one of the most thorough and practical SQL education resources available at any level.

3. Microsoft SQL Server 2019 – Querying SQL Server

10 Hours 5 Minutes | 67 Videos | 16 Modules

Where the previous course covers the SQL querying landscape established in the SQL Server 2012 era, this course brings that knowledge forward into the SQL Server 2019 environment. Microsoft has continued to enhance its database platform with each major release, and this course ensures learners are fully versed in the modern querying capabilities and features available in the 2019 version.

Across 67 videos and 16 modules, learners engage with updated T-SQL syntax, new functions, improved performance features, JSON support, and compatibility updates relevant to SQL Server 2019. This course is particularly valuable for professionals working in organizations that have recently migrated to — or are planning a migration to — SQL Server 2019, as it provides environment-specific guidance grounded in current best practices.

Together with the 70-461 course, this forms a comprehensive dual-course SQL querying foundation that covers both legacy compatibility knowledge and modern platform proficiency.

4. Microsoft SQL Server 2019 – Introduction to Data Analysis

13 Hours 58 Minutes | 77 Videos | 17 Modules

This is the single largest course in the bundle by both hours and module count — and it represents a significant instructional milestone within the learning path. With nearly 14 hours of content across 77 videos and 17 modules, the Introduction to Data Analysis course transitions learners from database management and querying into the realm of analytical thinking and applied data interpretation.

SQL Server is not only a storage and retrieval system — it is also a powerful analytical platform. This course demonstrates how to use SQL Server's built-in analytical capabilities to aggregate, segment, summarize, and interpret data at scale. Learners work through real analytical scenarios, learning how to construct queries that answer business questions, identify trends, perform cohort analyses, and generate reports directly from database systems.

By the end of this course, learners will have developed a meaningful capacity to function as data analysts, not just as database users. This distinction is critical for career advancement, as analytical capability commands significantly higher professional value than operational database skill alone.

5. Introduction to Microsoft Power BI

10 Hours 52 Minutes | 65 Videos | 11 Modules

Microsoft Power BI is the leading business intelligence and data visualization platform in enterprise environments globally. It allows organizations to transform raw data — whether from SQL Server, Excel, cloud APIs, or other sources — into interactive dashboards, dynamic reports, and executive-level visual summaries that drive decision-making.

This course provides a thorough introduction to Power BI across 65 videos and 11 modules, covering the full Power BI workflow: connecting to data sources, transforming data in Power Query, building calculated fields with DAX (Data Analysis Expressions), designing interactive report pages, and publishing to the Power BI service for sharing and collaboration.

Learners who have completed the SQL querying and data analysis courses in this bundle will immediately recognize how Power BI bridges the gap between raw database data and business communication. The ability to visualize SQL Server data in Power BI is one of the most sought-after skill combinations on the current job market, and this course delivers precisely that capability.

6. Google Analytics 4

3 Hours 5 Minutes | 39 Videos | 3 Modules

Google Analytics 4 (GA4) is the current standard for website and app performance tracking. Released as the successor to Universal Analytics, GA4 introduces a fundamentally new data model built around events rather than sessions, offering far more granular tracking of user behavior across websites and mobile applications.

This focused course — delivered across 39 videos and three tightly structured modules — gives learners a thorough grounding in the GA4 interface, measurement configuration, event tracking, audience building, and reporting tools. Learners understand how to set up GA4 properties, configure conversions, build exploration reports, and draw meaningful conclusions from web traffic and engagement data.

For any professional working in digital marketing, e-commerce, content publishing, or product development, proficiency in GA4 is now a baseline expectation. This course ensures learners are fully equipped with current-standard analytics knowledge as Google has officially sunset Universal Analytics.

7. Google Analytics

4 Hours 53 Minutes | 72 Videos | 7 Modules

While GA4 represents the future of Google Analytics, a strong understanding of the foundational Universal Analytics framework provides critical historical and conceptual grounding. Many organizations are still transitioning their reporting infrastructure and maintain legacy GA implementations alongside newer GA4 setups. This course covers the complete Universal Analytics platform across 72 videos and 7 modules.

Learners work through account structure, view configuration, goal tracking, audience segmentation, channel attribution, and custom reporting. The course also covers integration with Google Ads, allowing learners to understand how paid traffic data connects to on-site behavior metrics.

When taken together, the Google Analytics and Google Analytics 4 courses provide a complete, dual-version analytics education that prepares learners for both legacy environments and modern measurement architectures — a combination that very few training programs offer in this level of depth.

8. AWS – Introduction and Deep Dive

11 Hours 31 Minutes | 49 Videos | 6 Modules

Amazon Web Services (AWS) is the world's largest cloud computing platform, powering a significant portion of the global internet infrastructure. For data professionals, AWS is not just an IT concern — it is a core part of the data stack. Cloud-based databases, data lakes, serverless functions, storage services, and machine learning infrastructure are all delivered through AWS in modern data environments.

This course provides both an accessible introduction and a meaningful technical deep dive across 49 videos and 6 comprehensive modules. Learners are introduced to core AWS services relevant to data professionals, including S3 (storage), RDS (relational database service), Redshift (data warehousing), Lambda (serverless computing), IAM (identity and access management), and key networking fundamentals.

The AWS course is positioned at a point in the bundle where learners have already developed strong database and analytics skills. Understanding how those databases and analytical tools are hosted, scaled, secured, and managed in the cloud gives learners a complete picture of the modern data infrastructure landscape — and positions them for roles in cloud data engineering, data architecture, and DevOps-adjacent data work.

9. Microsoft SQL Server – Big Data

7 Hours 6 Minutes | 41 Videos | 8 Modules

Big data represents one of the most significant evolutions in the data field over the past decade. The traditional relational database model — while still enormously important — has been extended and complemented by technologies capable of processing, storing, and analyzing data at a scale that conventional SQL systems were not originally designed to handle.

This course, delivered across 41 videos and 8 modules, introduces learners to Microsoft's big data capabilities, including SQL Server's Big Data Clusters, integration with Apache Spark, HDFS (Hadoop Distributed File System), data virtualization through PolyBase, and hybrid data architectures that combine relational and non-relational data sources.

For professionals working in data engineering, enterprise data warehousing, or large-scale analytics environments, this course provides the conceptual and technical grounding necessary to understand and contribute to modern big data architectures. It is a natural extension of the SQL Server training already completed in the bundle and introduces an entirely new dimension of scale and complexity.

10. CompTIA Data+ (DA0-001)

5 Hours 53 Minutes | 74 Videos | 6 Modules

The CompTIA Data+ certification (exam code DA0-001) is a vendor-neutral, globally recognized credential that validates foundational competency in data analysis, data concepts, data mining, visualization, and data governance. It is increasingly recognized by employers as a meaningful indicator of well-rounded data literacy — particularly for professionals in analyst, reporting, and junior data science roles.

This course prepares learners for the DA0-001 exam across 74 videos and 6 structured modules aligned with the official exam objectives. Topics covered include data acquisition, data types, data quality, statistical methods, analytical techniques, data visualization best practices, and the ethics and governance of data handling.

The CompTIA Data+ course serves as an ideal capstone for this bundle. By the time learners reach this course, they will have developed substantial hands-on knowledge across SQL, Power BI, Google Analytics, and AWS. The Data+ curriculum provides the formal, conceptual, and certification-validated framework that ties those practical skills together into a recognized professional credential — significantly strengthening a learner's position on the job market.

Who This Bundle Is Designed For

The Data & Analytics Course Bundle on Horizons Unlimited is designed to serve a wide but specific audience. It is most directly relevant to:

Aspiring Data Analysts who are entering the field without prior formal training and need a structured, comprehensive curriculum that takes them from the basics of database design through to analytical application and certification readiness.

Database Administrators and Developers who already possess SQL skills but want to broaden their expertise into data analysis, business intelligence, cloud infrastructure, and web analytics — areas that increasingly define the scope of modern data roles.

Business Intelligence Professionals familiar with reporting tools who want to deepen their understanding of the underlying database systems, querying techniques, and cloud environments that feed those tools.

IT Professionals and System Administrators who work in environments where SQL Server and AWS are central to the technology stack, and who recognize that data literacy is becoming an essential part of their role.

Digital Marketers and Web Analysts who use Google Analytics in their daily work and want to develop a more technical understanding of the data infrastructure that supports their measurement activities — while also gaining SQL and BI skills that expand their professional value.

Career Changers from adjacent fields such as accounting, operations, project management, or administrative roles, who recognize that data skills represent one of the clearest and most accessible pathways into a higher-paying, higher-demand career track.

The Career Case for Data Skills

The labor market data is unambiguous. Data-related roles — including data analyst, database administrator, business intelligence analyst, data engineer, and cloud data architect — consistently rank among the fastest-growing and highest-compensated positions in the technology sector. The U.S. Bureau of Labor Statistics projects strong continued growth in database and analytics occupations, and third-party labor market platforms consistently show data analysis skills among the top competencies requested in technology job postings globally.

What makes the skill set covered in this bundle particularly powerful is its combination of depth and breadth. SQL Server expertise is in demand at thousands of enterprise organizations. Power BI proficiency is increasingly a listed requirement in business intelligence and analyst job descriptions. AWS knowledge is nearly universal in technical roles across company sizes. Google Analytics skill is required in digital marketing, e-commerce, and product roles. And CompTIA Data+ certification provides a vendor-neutral credential that signals genuine data literacy to employers who may not be familiar with platform-specific credentials.

A professional who completes all ten courses in this bundle will have developed a credential portfolio and a practical skill set that positions them competitively across a wide range of data-related job titles and industries.

Learning Format and Accessibility

All courses in this bundle are delivered in a structured video format with clearly delineated modules and individual video lessons. Learners can engage with the content at their own pace, revisiting specific videos or modules as needed without time pressure or rigid scheduling requirements.

The total content volume — 86 hours and 7 minutes across 605 videos — is substantial, but it is organized in a way that supports realistic progress. Learners who dedicate one to two hours per day can realistically complete the full bundle within three to four months, emerging with a comprehensive and demonstrable skill set ready for professional application.

The modular structure also allows experienced learners to skip or accelerate through areas where they already have background knowledge, focusing their time on newer or more challenging content. This flexibility makes the bundle equally valuable for absolute beginners and for experienced professionals looking to fill specific gaps in their expertise.

Why Horizons Unlimited

Horizons Unlimited is built on the principle that professional education should be accessible, structured, and genuinely valuable. The platform curates course content with a focus on practical application — not just theoretical exposure — and the Data & Analytics Course Bundle reflects that philosophy throughout its design.

Every course in the bundle has been selected because it addresses a real, current demand in the data profession. The instructors behind these courses are subject-matter experts with practical experience in the technologies and tools they teach, ensuring that learners receive guidance grounded in how these systems are actually used in professional environments, not just how they are described in documentation.

The bundle format itself reflects Horizons Unlimited's commitment to learner value. Rather than requiring learners to purchase ten separate courses and piece together their own curriculum, the bundle provides a curated, connected, and complete educational journey at a unified access point — making the path from beginner to data professional as clear and efficient as possible.

Data is the defining resource of the modern economy. Organizations that can harness it effectively hold a structural advantage over those that cannot. Professionals who can work with data — who can design databases, write sophisticated queries, build visual dashboards, track web behavior, manage cloud infrastructure, and interpret analytical results — are among the most valuable contributors in today's workforce.

The Data & Analytics Course Bundle on Horizons Unlimited brings together 10 expert-led courses, 86 hours and 7 minutes of structured video content, 605 individual lessons, and 97 learning modules into a single, cohesive, and professionally oriented training program. It covers the tools and technologies that matter most in real data environments — SQL Server, Power BI, Google Analytics 4, AWS, CompTIA Data+ — and organizes them into a learning path that builds skill logically and progressively.

For anyone serious about building a career in data, business intelligence, or analytics, this bundle represents one of the most complete and efficient investments available in professional online education. The skills acquired here are not academic exercises — they are the exact competencies employers are actively seeking, and they are delivered through a format designed to make mastery achievable on any schedule.