{"title":"Basic","description":"","products":[{"product_id":"free-set","title":"Free Set","description":"\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eProblem Statement\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eMany learners see e-commerce reports but do not know how the data behind them is arranged. Order tables, customer records, item details, and sales fields can feel disconnected when there is no clear structure. Beginners may also struggle to understand where SQL fits into everyday reporting tasks. Without guided examples, even simple queries can feel unclear. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eSolution\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eFree Set gives learners a calm introduction to SQL concepts using familiar e-commerce scenarios. The course explains how tables work, how rows and columns connect to store activity, and how basic queries can reveal useful details. Instead of overwhelming learners with complex syntax, it focuses on simple query reading, filtering, sorting, and basic summaries. Each section is designed to help learners develop a foundation before moving into larger reporting tasks.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWhat’s Inside\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eFree Set includes beginner-friendly materials that introduce SQL in a simple and organized way. Learners start with the role of data in e-commerce, including how order information, customer details, product records, and transaction fields may appear in a database. The tier then introduces basic SQL query structure, including selecting columns, reading table names, applying simple filters, and sorting results.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe materials also explain how to think about common e-commerce questions, such as which orders match a certain condition, how to view selected customer fields, or how to arrange product records for review. Learners are guided through basic examples that show how SQL can help organize information into clearer views. The course does not rely on heavy technical language and keeps each concept connected to a simple reporting purpose.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWho is this for?\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eFree Set is for beginners who are new to SQL or new to using data in an e-commerce context. It is also suitable for learners who have seen reports before but want a clearer understanding of the tables and queries behind them. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWhat You’ll Learn\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\u003cspan\u003eHow SQL is used to read e-commerce data\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eWhat rows, columns, and tables represent\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow order, customer, and product data can be structured\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to select specific columns from a table\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to filter records using simple conditions\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to sort results for clearer review\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to read basic query logic step by step\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow simple SQL questions connect to store reporting\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to prepare for more detailed analytics topics\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e30-Day Course Review Option\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eThis tier includes a 30-day refund option for eligible purchases according to the store refund policy. It is designed as a low-pressure starting point so learners can review the materials and decide whether the course format fits their study needs.\u003c\/span\u003e\u003c\/p\u003e","brand":"Quervellixar","offers":[{"title":"Default Title","offer_id":53885285597522,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1086\/5544\/4306\/files\/free.jpg?v=1782825858"},{"product_id":"pulse-pack","title":"Pulse Pack","description":"\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eProblem Statement\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eMany learners can understand a basic SQL query but feel unsure when the question becomes more specific. E-commerce data often includes many fields, such as order dates, quantities, customer locations, item names, categories, and status labels. Without a clear method, learners may filter too broadly, miss important fields, or create reports that are difficult to review. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eSolution\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003ePulse Pack introduces a more organized way to think through SQL questions before writing queries. The materials show how to identify the data needed, choose relevant columns, apply conditions, and arrange results in a readable format. Learners explore practical e-commerce situations, such as reviewing recent orders, separating records by category, and comparing simple customer activity details. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWhat’s Inside\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003ePulse Pack includes guided materials focused on moving from simple SQL syntax into practical e-commerce data review. The course begins with a review of basic table structure, then expands into how different fields support different reporting questions. Learners explore how order dates, status fields, quantities, categories, and customer identifiers can be used to narrow a dataset and make results easier to read.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe tier includes lessons on filtering with multiple conditions, sorting records for better comparison, selecting only useful fields, and writing queries that answer a specific question instead of pulling too much data. Learners also review examples that show how small query choices can change the meaning of a report. For example, filtering by order status can lead to a different view than filtering by date or category.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003ePulse Pack also introduces the idea of query planning. Before writing a query, learners are guided to ask what they are trying to view, which table may contain the needed fields, and what conditions should be applied. This helps reduce confusion and supports cleaner work when reviewing store-style data.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWho is this for?\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003ePulse Pack is for learners who understand very basic SQL ideas and want to apply them to more practical e-commerce questions. It is suitable for beginners who completed an introductory tier, store team members reviewing reports, marketing assistants, operations learners, and anyone who wants to build clearer SQL habits around order and customer data.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWhat You’ll Learn\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\u003cspan\u003eHow to plan a query before writing it\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to choose useful fields for e-commerce reports\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to filter records using more than one condition\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow order dates, statuses, and categories affect reporting views\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to sort results for clearer comparison\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to reduce unnecessary columns in query results\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to read customer and order records with more structure\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to connect SQL questions to practical store scenarios\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to prepare for grouped summaries and deeper reporting tasks\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e30-Day Course Review Option\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eThis tier includes a 30-day refund option for eligible purchases according to the store refund policy. It is designed as a low-pressure way to review the materials and decide whether the course format fits your learning needs.\u003c\/span\u003e\u003c\/p\u003e","brand":"Quervellixar","offers":[{"title":"Default Title","offer_id":53885359653202,"sku":null,"price":78.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1086\/5544\/4306\/files\/pulse.jpg?v=1782825545"},{"product_id":"frame-kit","title":"Frame Kit","description":"\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eProblem Statement\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eAs learners move beyond simple filtering, e-commerce data can become harder to organize. A single reporting question may involve order values, quantities, dates, categories, customer identifiers, and status fields at the same time. Without a clear frame, a query may show data but still fail to answer the real question. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eSolution\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eFrame Kit introduces a more careful approach to query planning and report shaping. The materials show how to define the reporting goal, choose the right fields, apply conditions, and prepare results for clearer review. Learners explore how SQL can be used to create organized views of orders, customer activity, item movement, and category patterns. The tier also introduces simple calculated fields and grouped thinking in a practical way. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWhat’s Inside\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eFrame Kit includes detailed materials for learners who already understand basic SQL selection, filtering, and sorting. The course begins by explaining how to frame a reporting question before writing the query. Learners study how to identify the main subject of a report, such as orders, customers, products, or categories, and then decide which columns are needed to support that question.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe materials then move into cleaner query construction. Learners explore how to combine conditions, organize output columns, rename fields for readability, and prepare result sets that are easier to interpret. The tier also introduces simple calculations, such as working with quantity fields, item totals, order values, and basic derived columns. These examples are kept practical and connected to store-style data situations.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFrame Kit also explains the difference between record-level review and summary-level thinking. Learners see how individual rows can answer one type of question, while grouped results can answer another. The course introduces early grouping concepts in a gentle way, helping learners understand why a report may need totals, counts, or category-level views.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWho is this for?\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eFrame Kit is for learners who already know basic SQL commands and want to build more organized reporting skills. It is suitable for store team members, data learners, marketing support roles, operations assistants, and anyone who wants to read e-commerce data with more structure. This tier also fits learners preparing for deeper work with summaries, joins, and multi-table analysis.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWhat You’ll Learn\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\u003cspan\u003eHow to frame an e-commerce reporting question before writing SQL\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to choose fields that support a specific data view\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to combine filters for clearer report results\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to rename output columns for readability\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to create simple calculated fields\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow order values, quantities, and categories can support analysis\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to separate row-level review from summary-level thinking\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to prepare for grouped reports and multi-table queries\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to create SQL outputs that are easier to review and explain\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e30-Day Course Review Option\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eThis tier includes a 30-day refund option for eligible purchases according to the store refund policy. It is designed as a low-pressure way to review the materials and decide whether the course format fits your study needs.\u003c\/span\u003e\u003c\/p\u003e","brand":"Quervellixar","offers":[{"title":"Default Title","offer_id":53885440590162,"sku":null,"price":119.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1086\/5544\/4306\/files\/frame.jpg?v=1782825544"},{"product_id":"flow-guide","title":"Flow Guide","description":"\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eProblem Statement\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eMany learners can write basic queries but feel uncertain when an e-commerce question requires several steps. Store data is often spread across different tables, and one report may need customer details, order records, item quantities, and category labels. Without a clear workflow, learners may jump into syntax before understanding the structure of the data. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eSolution\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eFlow Guide teaches learners how to approach SQL work as a sequence of clear decisions. The materials explain how to define the reporting question, identify the needed tables, choose useful fields, and shape results in a logical order. Learners practice building queries that connect common e-commerce data points without rushing into advanced complexity. The course introduces joined data views, simple grouped summaries, and cleaner reporting flow. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWhat’s Inside\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eFlow Guide includes detailed materials focused on practical SQL workflows for e-commerce analytics. The course begins with planning methods that help learners understand what a report is asking before writing a query. Learners explore how to break down a question into smaller parts, such as identifying the main table, choosing supporting fields, deciding which filters are needed, and considering whether summary results are more useful than row-level results.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe tier then introduces joined table thinking in a guided way. Learners study how customer records can connect with orders, how orders can connect with item details, and how item records can connect with category information. The materials explain why table relationships matter and how connected data can provide a clearer view of store activity.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFlow Guide also covers simple grouped reporting. Learners review examples involving order counts, category summaries, customer activity totals, and date-based views. The focus is not only on writing the query but also on understanding what the result means. This helps learners avoid creating reports that look correct but do not clearly answer the original question.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe course includes practical exercises based on store-style scenarios, such as reviewing order activity by category, comparing customer order counts, checking item movement, and preparing summary tables for internal review. Each activity follows a step-by-step query flow, helping learners practice structure, readability, and purpose.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWho is this for?\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eFlow Guide is for learners who understand SQL basics and want to work with more connected e-commerce data. It is suitable for learners who are ready to move beyond single-table filtering and begin exploring joined records, simple summaries, and structured reporting workflows. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWhat You’ll Learn\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\u003cspan\u003eHow to plan a SQL workflow before writing the query\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to break e-commerce reporting questions into smaller steps\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to identify useful tables for order, customer, and item analysis\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow joined data views support clearer reporting\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to connect customer, order, item, and category records\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to create simple grouped summaries\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to compare row-level data with summary-level views\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to organize SQL output for easier review\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to build cleaner habits for multi-step reporting tasks\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e30-Day Course Review Option\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eThis tier includes a 30-day refund option for eligible purchases according to the store refund policy. It is designed as a low-pressure way to review the materials and decide whether the course format fits your study needs.\u003c\/span\u003e\u003c\/p\u003e","brand":"Quervellixar","offers":[{"title":"Default Title","offer_id":53885551346002,"sku":null,"price":174.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1086\/5544\/4306\/files\/flow.jpg?v=1782825544"},{"product_id":"luma-module","title":"Luma Module","description":"\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eProblem Statement\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eE-commerce data often becomes harder to read when reports require totals, counts, averages, and category-level views. Learners may understand how to filter records but feel unsure when asked to summarize order activity or compare groups of data. It can also be difficult to know when to use raw rows and when to create grouped results. Without a clear method, reports may include too much detail or miss the main point of the question.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eSolution\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eLuma Module introduces structured ways to summarize e-commerce data using SQL. The materials explain how grouped queries work and how summary functions can help organize large sets of records into clearer reporting views. Learners practice building reports around order counts, item quantities, customer activity, category totals, and date-based patterns. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWhat’s Inside\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eLuma Module includes detailed materials focused on summary reporting for e-commerce data. The course begins by explaining the difference between individual records and grouped results. Learners review examples where row-level data is useful, such as checking specific orders, and examples where summaries are more helpful, such as reviewing order counts by category or customer activity by period.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe tier then introduces grouped query structure in a clear sequence. Learners study how to group data by customer, product category, order status, date field, or item type. The materials explain how summary functions can be used to count records, total quantities, calculate averages, and organize results around a reporting purpose. Each example is connected to store-style questions so learners can see why the query is being written, not only how it works.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eLuma Module also includes lessons on calculated fields. Learners explore how calculated columns can support order value review, item-level totals, and simple comparison views. The materials show how to keep calculations readable and how to label output fields so reports are easier to understand.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003ePractice sections include guided scenarios such as reviewing total orders by status, comparing item quantities by category, counting customer order activity, checking date-based order patterns, and preparing simple summary tables. Each activity encourages learners to think about grouping choices, output readability, and report purpose.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWho is this for?\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eLuma Module is for learners who already understand basic SQL selection, filtering, sorting, and simple table connections. It is suitable for learners who want to improve their ability to summarize store-style data and create clearer reports from large record sets.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eWhat You’ll Learn\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\u003cspan\u003eHow to choose between row-level data and grouped summaries\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to group e-commerce records by useful fields\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to count orders, customers, items, and categories\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to total quantities and review simple value fields\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow averages can support basic reporting views\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to create readable calculated columns\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to label summary fields clearly\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to organize grouped results for easier review\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eHow to connect summary queries to practical store questions\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003e30-Day Course Review Option\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eThis tier includes a 30-day refund option for eligible purchases according to the store refund policy. It is designed as a low-pressure way to review the materials and decide whether the course format fits your study needs.\u003c\/span\u003e\u003c\/p\u003e","brand":"Quervellixar","offers":[{"title":"Default Title","offer_id":53885615702354,"sku":null,"price":192.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1086\/5544\/4306\/files\/luma.jpg?v=1782825544"}],"url":"https:\/\/quervellixar.org\/collections\/basic.oembed","provider":"Quervellixar","version":"1.0","type":"link"}