Data Pipeline Engineering & Analytics

Coursera via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

4 weeks, 10 hours a week

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Overview

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Transform your data engineering capabilities with this comprehensive specialization that covers the entire analytics pipeline from data ingestion to actionable insights. You'll learn automated ETL processes, optimize SQL performance for large-scale data operations, implement dimensional modeling with star schemas, and create interactive dashboards that drive business decisions. This specialization uniquely combines technical pipeline engineering with advanced user analytics, teaching you to build robust data infrastructure while extracting meaningful patterns from user behavior through clustering, retention analysis, and funnel optimization to deliver measurable business impact.

Syllabus

Course 1: Design and Optimize User Funnels
Course 2: Automate, Ingest, and Validate Event Data
Course 3: Optimize SQL: Build Fast Data Pipelines
Course 4: Transform JSON & Fix Time Data
Course 5: Transform Data: SQL & Pandas Mastery
Course 6: Star Schemas & Track Changes
Course 7: Build Interactive Dashboards for Meaningful Insights
Course 8: Analyze Users & Optimize Product Retention

Courses

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1 hour 58 minutes
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Transform your product analytics capability with advanced user segmentation and retention optimization techniques. This course empowers data analysts to move beyond surface-level metrics to uncover deep behavioral patterns that drive product success. By completing this course, you'll master the application of k-means clustering to identify distinct user segments and gain the analytical sophistication to evaluate rolling-cohort versus N-day retention methods for strategic decision-making. You'll learn to profile power users through RFM analysis, create compelling data narratives for stakeholders, and publish technical guidance that elevates your team's analytical capabilities. This course is unique because it bridges the gap between technical implementation and business impact, teaching you to transform raw user data into actionable product insights that directly influence retention and growth strategies. To be successful in this course, you should have experience with data analytics, basic understanding of machine learning concepts, and familiarity with Python or similar analytical tools.
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1 hour 32 minutes
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Course Description: Design and Optimize User Funnels Did you know that even small improvements in funnel efficiency can increase conversion rates by up to 30%? Understanding where users drop off—and why—is the secret to turning engagement into measurable growth. This Short Course was created to help professionals in this field leverage interactive dashboard and funnel analytics to optimize conversion rates and eliminate friction points in digital customer journeys. By completing this course, you will be able to design and refine user funnels that highlight critical activation events, uncover process inefficiencies, and streamline customer paths for higher engagement and conversion—skills you can apply immediately to enhance digital performance. By the end of this 3-hour long course, you will be able to: Apply criteria to select critical activation events for a user funnel. Evaluate process funnels to identify redundancies and recommend consolidation. This course is unique because it combines data analytics with behavioral insight, teaching you how to translate complex funnel data into clear strategies that boost conversion and improve the overall user experience. To be successful in this project, you should have: - Data analytics experience - User journey mapping basics - Analytics platform familiarity - Understanding of conversion metrics
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1 hour 47 minutes
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Unlock the power of data storytelling through interactive dashboard design that transforms raw stakeholder requests into meaningful business insights. This course empowers data analysis professionals to bridge the critical gap between business needs and technical implementation, teaching you to systematically decode KPI requests, create comprehensive dashboard specifications, and build self-service funnel visualizations that enable stakeholders to independently explore their data. By completing this course, you'll master the art of translating complex business requirements into clear technical blueprints and construct interactive dashboards that reveal user behavior patterns, conversion bottlenecks, and growth opportunities. You'll gain hands-on experience with modern dashboard tools while learning to design intuitive interfaces that encourage data-driven decision making across your organization. By the end of this course, you will be able to: Understand stakeholder key performance indicator (KPI) requests to produce a dashboard specification. Create a self-service funnel dashboard with drill-through functionality. This course is unique because it combines strategic requirements gathering with hands-on technical implementation, giving you both the analytical mindset and practical skills needed to deliver dashboards that truly serve business objectives. To be successful in this course, you should have experience with data analysis tools and basic understanding of business metrics and KPIs.
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1 hour 36 minutes
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Transform your data architecture skills with advanced dimensional modeling techniques that power enterprise-grade analytics systems. This course empowers data professionals to master the critical intersection of historical data tracking and dimensional model optimization. This Short Course was created to help data analysts accomplish sophisticated data warehouse design that maintains data integrity while maximizing query performance. By completing this course, you'll be able to implement robust historical tracking mechanisms and systematically optimize dimensional models for better business intelligence outcomes. By the end of this course, you will be able to: Apply Type-2 slowly changing dimension techniques to preserve complete data history Evaluate star schema structures and identify performance bottlenecks Propose specific refinements that improve both analytical capabilities and query efficiency This course is unique because it bridges the gap between theoretical dimensional modeling and practical implementation, providing hands-on experience with industry-standard tools like dbt and LookML that you'll use in real-world data engineering projects. To be successful in this project, you should have a background in SQL, basic data modeling concepts, and familiarity with data warehouse fundamentals. (It is possible)
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1 hour 17 minutes
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Transform your data infrastructure with automated event processing and rigorous compliance validation. This course empowers data professionals to build robust, real-time data pipelines that seamlessly ingest streaming events while ensuring bulletproof tracking plan compliance. You'll master configuring ETL tools like Airflow for automated Mixpanel event ingestion into Snowflake, setting up continuous data flows from message queues, and implementing systematic schema validation processes that catch discrepancies before they impact business decisions. Learn to deploy monitoring systems that maintain data integrity across mobile and web platforms, automate compliance auditing workflows, and create feedback loops that ensure your event data remains trustworthy and actionable. This course bridges the critical gap between data engineering and quality assurance, giving you the skills to operationalize analytics infrastructure that scales with confidence.
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1 hour 44 minutes
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In today's data-driven landscape, the difference between slow analytics and lightning-fast insights often comes down to how efficiently you can transform raw data into meaningful summaries and optimize query performance. This Short Course was created to help data analysts transform their SQL skills from writing basic queries to building production-ready, scalable data pipelines. By completing this course you'll be able to create parameterized SQL scripts for daily data materialization, systematically diagnose performance bottlenecks that slow down analytical workflows, and build automated data transformation pipelines that previously required senior engineering support—making you an indispensable asset to any data-driven organization. By the end of this course, you will be able to: Master creating parameterized SQL scripts for daily data materialization Systematically diagnose performance bottlenecks in analytical workflows Build repeatable ETL processes using advanced SQL techniques like CTEs and window functions Develop diagnostic expertise to interpret execution plans and optimize query performance through strategic indexing and query restructuring Confidently build automated data transformation pipelines and troubleshoot performance issues independently This course is unique because it empowers data analysts to master the critical skills of building repeatable ETL processes and developing diagnostic expertise that bridges the gap between basic SQL knowledge and production-level data engineering capabilities. To be successful in this course, you should have a background in basic SQL querying, fundamental database concepts, and experience working with data analysis workflows.