Learn how to use Apache Spark to find out statistics about website(eCommerce) and the way to improve it using Databricks
β±οΈ Length: 5.2 total hours
β 4.34/5 rating
π₯ 22,761 students
π December 2025 update
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- Course Overview
- This practical course teaches leveraging Apache Spark on the Databricks unified analytics platform to extract vital statistics and actionable insights from comprehensive eCommerce datasets. Focus is on transforming raw website and sales data into strategic intelligence.
- Spanning 5.2 hours, the curriculum emphasizes hands-on application. Learn to understand customer behaviors, identify key performance indicators, and pinpoint critical areas for online retail improvement. Make data-driven decisions that enhance profitability and optimize the customer’s digital journey.
- Requirements / Prerequisites
- A foundational understanding of data concepts and basic SQL for querying structured information.
- Comfort with fundamental programming logic, ideally in Python or Scala, for interacting with Apache Spark.
- No prior experience with Apache Spark or Databricks is necessary; tools are introduced progressively.
- Reliable internet access and a standard web browser are required, as all labs are cloud-based on Databricks.
- Skills Covered / Tools Used
- Apache Spark Core & DataFrames: Proficiency in Spark APIs for efficient data loading, processing, transformation, and aggregation on large-scale datasets.
- Databricks Ecosystem: Expertise in operating the Databricks workspace, including cluster management and interactive notebooks for collaborative analytics.
- eCommerce Data Pipelines: Skills in sourcing, cleaning, and structuring raw eCommerce data (logs, interactions, transactions) for advanced analysis.
- Key Performance Indicator (KPI) Calculation: Implementing Spark to compute essential eCommerce metrics like conversion rates, AOV, CLV, bounce rates, and user session statistics.
- Behavioral Trend & Customer Segmentation: Utilizing Spark to uncover purchasing trends, seasonal patterns, and segment customers based on behavior for targeted strategies.
- Foundational Spark Performance: Understanding best practices for writing efficient Spark code and basic optimization techniques for large data volumes on Databricks.
- Data-Driven Strategy Formulation: Translating analytical findings into clear, actionable hypotheses for website enhancement, A/B testing, and marketing campaign improvements.
- Benefits / Outcomes
- Empowered Data-Driven Decisions: Transform raw eCommerce data into actionable intelligence for improved website performance, customer satisfaction, and revenue growth.
- Elevated Analytical Proficiency: Acquire highly sought-after big data analytics skills using Apache Spark and Databricks, making you a more valuable professional.
- Accelerated Career Growth: Open doors to roles like Data Analyst, BI Engineer, or Data Engineer within the booming eCommerce sector.
- Optimized eCommerce Strategies: Learn to identify inefficiencies, forecast behaviors, and propose data-backed solutions to increase conversion and customer retention.
- Practical & Portfolio-Ready: Gain hands-on experience simulating realistic eCommerce analytics challenges, building valuable skills and project showcases.
- PROS
- Highly Relevant & In-Demand Skills: Focuses on crucial Apache Spark and Databricks technologies for modern big data analytics.
- Practical & Business-Focused: Directly addresses optimizing eCommerce performance, offering immediate applicability.
- Seamless Cloud-Based Learning: Databricks platform eliminates complex local software installations.
- Strong Peer Validation: Impressive 4.34/5 rating from over 22,761 students, demonstrating effectiveness.
- Efficient & Time-Conscious: Concise 5.2-hour format delivers critical knowledge without extensive time commitment.
- Up-to-Date Content: December 2025 update ensures the material incorporates latest best practices and features.
- CONS
- The course’s condensed format, while efficient, may necessitate further independent study for deep mastery of advanced Spark optimizations or highly complex eCommerce statistical modeling.
Learning Tracks: English,Business,E-Commerce
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