{"product_id":"free-set","title":"Free Set","description":"\u003cp\u003e\u003cspan\u003e\u003cb\u003e1. Problem Statement\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eStruggling to understand where to begin with tables and datasets? You are not alone: individual numbers may appear understandable while losing meaning when structure and context are missing. New learners often confuse rows, columns, categories, measures, and value types. This can lead to inconsistent comparisons and conclusions based mainly on first impressions. Free Set presents a structured starting process for moving from reviewing data to describing observations with supporting information.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cb\u003e2. Solution\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThis course will teach you to view a dataset as a system of related elements. You will learn how to identify the purpose of rows, columns, and individual measures. The materials explain how to locate missing values, repeated records, and inconsistent formats. You will also practise calculating basic descriptive measures and comparing groups. At the end of the course, you will prepare a concise analytical summary based on a learning dataset.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cb\u003e3. What’s Inside\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 1: Reading a Dataset\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eExamine table structure, field names, rows, columns, categories, and numerical values. Learners practise identifying what each part of a dataset represents.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 2: Data Types and Context\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eStudy numerical, text, categorical, and date-based values. This module explains why numbers that look similar can represent different information depending on their context.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 3: Basic Data Checks\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eReview missing values, repeated records, conflicting entries, and inconsistent formats. Learners create a short checklist for an initial dataset review.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 4: Descriptive Measures\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eWork with mean, median, minimum, maximum, counts, and percentages. The focus is placed on interpreting each measure and describing what it shows.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 5: Comparisons and Patterns\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eCompare categories, periods, and groups. Learners practise separating a visible observation from a conclusion that would require further information.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 6: Mini Analysis Task\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eComplete a guided analysis using a learning dataset. The task includes checking structure, calculating measures, comparing categories, and writing a concise findings summary.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cb\u003e4. Who Is This For?\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e✅ This course is suitable if you:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eare beginning your study of data analysis;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ework with tables, reports, or lists of measures;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to examine data before forming conclusions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprefer sequenced explanations and practical exercises.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e❌ This course may not fit if you:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eneed advanced statistical modelling;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eexpect in-depth programming material;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ealready work regularly with complex analytical systems;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eare looking for financial forecasting or trading strategies.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cb\u003e5. What You’ll Learn\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAfter completing the materials, you will be able to:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eidentify rows, columns, fields, and value types within a dataset;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eperform at least five basic data-quality checks;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003elocate missing, repeated, and conflicting records;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecalculate mean, median, minimum, maximum, counts, and percentages;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecompare two or more categories using a selected measure;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate a concise table of key findings;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewrite three to five observations without overstating what the data shows;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprepare a one-page analytical summary.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cb\u003e6. 30-Day Review Terms\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eA customer may submit a refund request within 30 calendar days of placing an order. Each request is reviewed under the published Siftanox refund policy, including its conditions, exceptions, and contact procedure. Customers should read the current policy before completing an order.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cb\u003e7. Course Certificate\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAfter completing every module and the final task, the learner receives a certificate of completion for \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eFree Set\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e. The certificate records completion of the stated course curriculum.\u003c\/span\u003e\u003c\/p\u003e","brand":"Siftanox","offers":[{"title":"Default Title","offer_id":60307882115406,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1057\/5259\/2718\/files\/Free.jpg?v=1785910605","url":"https:\/\/siftanox.net\/products\/free-set","provider":"Siftanox","version":"1.0","type":"link"}