{"title":"Basic Courses","description":null,"products":[{"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"},{"product_id":"quantum-bundle","title":"Quantum Bundle","description":"\u003cp\u003e\u003cspan\u003e\u003cb\u003e1. Problem Statement\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eStruggling to decide which measures should be compared and how separate observations can form one coherent conclusion? You are not alone: even a neatly organized table may contain missing entries, repeated records, and values that require additional context. Without a defined analytical question, learners may complete many calculations without understanding which ones relate to the subject being studied. Another common challenge is mixing facts, assumptions, and personal opinions within the same summary. Quantum Bundle introduces an ordered process in which every calculation connects to a specific question.\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 begin an analysis by defining its purpose and selecting relevant measures. You will learn how to review dataset structure and prepare records for comparison. The materials explain how to group values, calculate shares, and identify differences between categories. Particular attention is given to writing conclusions that answer the original question without overstating what the numbers indicate. The final assignment combines data review, calculations, visual presentation, and written interpretation.\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: Building an Analysis Question\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eLearn how to turn a broad subject into a specific analytical question. The module covers the object of analysis, time period, categories, and relevant measures.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 2: Dataset Structure Review\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eExamine field names, measurement units, value formats, and relationships between columns. You will create a dataset map before beginning calculations.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 3: Preparing Data for Comparison\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eWork with missing entries, repeated records, inconsistent formats, and variations in category names. Learners prepare a log of the changes made during review.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 4: Counts, Shares, and Group Results\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eCalculate record counts, percentages, averages, and grouped results. This module explains how to select a measure that matches the analytical question.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 5: Comparing Categories and Periods\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eCompare two or more groups and examine results across different periods. You will practise describing both numerical and percentage differences.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 6: Visual Structure of Findings\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eOrganize information through tables, diagrams, and basic charts. The module focuses on titles, labels, scales, and the context needed to interpret each visual.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 7: Writing an Analytical Summary\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003ePrepare a structured review containing an introduction, method, main observations, limitations, and concluding section.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 8: Quantum Review Project\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eComplete an independent assignment by defining a question, preparing the data, comparing selected measures, and presenting the findings.\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\u003ehave completed an introductory study of tables and measures;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to work with several categories within one analysis;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewould like to explain findings in writing;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ework with reports, surveys, lists, or internal records;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprefer practical assignments with a defined sequence.\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\u003edo not yet distinguish rows, columns, and value types;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003erequire advanced statistical modelling;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eexpect material about trading or financial strategies;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003edo not plan to complete exercises and the final assignment.\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 working through the course, you will be able to:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eformulate at least three specific analytical questions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate a structural map of a dataset;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecomplete a review using six data-quality criteria;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003estandardize category names and value formats;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecalculate counts, shares, averages, and differences between groups;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecompare results across at least two periods;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprepare two suitable forms of visual presentation;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewrite a one- to two-page analytical review;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003edocument the limitations of the dataset used.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cb\u003e6. 30-Day Refund Review Terms\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eA refund request may be submitted within 30 calendar days from the order date. Each request is considered under the current Siftanox policy, which describes the submission process, review conditions, and possible exceptions. Customers should read the published 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 all modules and submitting the final assignment, the learner receives a certificate of completion for \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eQuantum Bundle\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e. The certificate records the course title and the scope of the completed curriculum.\u003c\/span\u003e\u003c\/p\u003e","brand":"Siftanox","offers":[{"title":"Default Title","offer_id":60307883557198,"sku":null,"price":66.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1057\/5259\/2718\/files\/Quantum.jpg?v=1785910513"},{"product_id":"nexus-series","title":"Nexus Series","description":"\u003cp\u003e\u003cspan\u003e\u003cb\u003e1. Problem Statement\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eStruggling to combine information from several tables and determine which records genuinely relate to one another? You are not alone: even small datasets can use different field names, date formats, measurement units, and category labels. These differences may lead to inaccurate comparisons, repeated records, or information being left outside the analysis. Another challenge appears when a visible relationship between two measures is incorrectly presented as evidence that one causes the other. Nexus Series introduces an ordered approach to matching data, examining relationships, and documenting analytical decisions.\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 how to identify shared fields and logical relationships between separate tables. You will learn to examine formats, categories, time periods, and measurement units before combining records. The materials explain how to compare groups, study relationships between measures, and separate observations from assumptions. You will also learn to document changes, selection criteria, and dataset limitations in a concise working record. The final project brings together the preparation of several tables, measure comparison, and a structured written report.\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: Mapping Data Relationships\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eIdentify relationships between tables, fields, and categories. You will prepare a diagram showing which data can be compared and which shared attributes connect the records.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 2: Shared Fields and Record Keys\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eWork with identifiers, codes, dates, and shared labels. The module explains how to examine record uniqueness and locate unclear or repeated matches.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 3: Preparing Multiple Datasets\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eStandardize formats, measurement units, category names, and time ranges. You will create a preparation log containing a concise description of every change.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 4: Combining Records Carefully\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eReview several approaches to matching records. Learners identify matched rows, unmatched entries, and situations where duplicate records may appear.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 5: Group and Segment Analysis\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eDivide information into groups based on selected characteristics. You will compare record counts, averages, shares, and changes between segments.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 6: Relationships Between Measures\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eStudy how two measures change in relation to one another. The module explains the distinction between an observed relationship, coincidence, and a causal statement.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 7: Time-Based Comparisons\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eCompare periods, sequences, and recurring changes. You will learn to account for periods of different lengths and incomplete time-based records.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 8: Reporting Connected Findings\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003ePrepare a report containing data descriptions, methods, main observations, limitations, and questions for further study.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 9: Nexus Connection Project\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eComplete a final assignment using several learning tables. The project includes preparation, record matching, review, analysis, and written presentation.\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\u003ealready understand basic table structure and value types;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to work with several related datasets;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprepare reports involving different categories and time periods;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewould like to describe relationships between measures more precisely;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eare prepared to document data preparation and analysis steps.\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\u003eare only beginning to study rows, columns, and measures;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003erequire advanced mathematical modelling;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eexpect material about financial or trading strategies;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003edo not plan to complete practical assignments;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to work only with one small table.\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 course, you will be able to:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eidentify shared fields in two or more tables;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate a relationship map for several datasets;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eexamine the uniqueness of key records;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003estandardize date formats, categories, and measurement units;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003elocate unmatched, repeated, and incomplete records;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecompare at least three groups using selected measures;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eexamine changes across several time periods;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003edescribe relationships between measures without causal overstatement;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003emaintain a data-preparation log;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprepare a structured analytical report of two to three pages.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cb\u003e6. 30-Day Refund 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 from the order date. Each request is reviewed according to the current Siftanox policy, which describes the submission process, review criteria, and possible exceptions. Customers should read the published terms 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 all modules and submitting the final project, the learner receives a certificate of completion for \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eNexus Series\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e. The document records the course title and the subjects included in the curriculum.\u003c\/span\u003e\u003c\/p\u003e","brand":"Siftanox","offers":[{"title":"Default Title","offer_id":60307884015950,"sku":null,"price":150.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1057\/5259\/2718\/files\/Nexus.jpg?v=1785910512"},{"product_id":"path-edition","title":"Path Edition","description":"\u003cp\u003e\u003cspan\u003e\u003cb\u003e1. Problem Statement\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eStruggling to maintain a clear sequence when an analysis contains many separate stages? You are not alone: it is common to begin calculations before defining the purpose, criteria, and boundaries of the study. As a result, some measures may not relate to the original question, while important checks remain incomplete. Another common issue is the absence of written records explaining how values were changed or prepared. Path Edition introduces a working route in which every stage has a defined purpose.\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 plan an analysis as a sequence of connected actions. You will learn how to define the main question, select relevant fields, and establish criteria for examining the data. The materials demonstrate how to divide the work into preparation, calculation, comparison, review, and written interpretation. You will also practise documenting assumptions, changes, and limitations in a concise working log. The final assignment involves creating a complete analytical route for 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: Defining the Analysis Path\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eDefine the subject, purpose, main question, and boundaries of the study. You will prepare a concise plan outlining the expected stages.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 2: Choosing Relevant Data\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eSelect fields, categories, and periods that relate to the analytical question. The module explains how to avoid unrelated measures and unnecessary calculations.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 3: Creating a Review Checklist\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eBuild a checklist covering missing values, repeated records, formats, measurement units, and logical inconsistencies.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 4: Preparing a Working Dataset\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eCreate a separate working version without changing the original records. You will document renaming decisions, corrections, and grouping rules.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 5: Selecting Measures\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eChoose counts, shares, averages, medians, ranges, and differences according to the question being examined.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 6: Building Comparison Steps\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eOrganize comparisons between categories, periods, and selected groups. Learners prepare a table of intermediate findings.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 7: Reviewing Analytical Decisions\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eExamine whether calculations still relate to the original purpose. The module helps identify weak reasoning, missing explanations, and conflicting statements.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 8: Structuring the Final Narrative\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003ePrepare an introduction, method description, main observations, limitations, and concluding summary.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eModule 9: Path Analysis Assignment\u003c\/span\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cspan\u003eComplete an independent assignment containing a plan, data preparation notes, calculations, comparisons, and a written presentation.\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\u003ealready understand basic measures and table structure;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to organize analysis in a defined sequence;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ework with assignments containing several stages;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewould like to document analytical decisions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to prepare meaningful summaries based on data.\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\u003edo not yet recognize the main value types;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003erequire advanced mathematical modelling;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003edo not plan to complete practical exercises;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eexpect material about trading or financial strategies;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant only a collection of ready-made conclusions.\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\u003edefine the purpose and boundaries of an analytical task;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate a working route containing six or more stages;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eselect fields that relate to the original question;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eexamine data using a defined checklist;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprepare a separate working version of a dataset;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003emaintain a log of changes and assumptions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eselect suitable measures for three types of comparison;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003echeck whether conclusions match the completed calculations;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprepare a two- to three-page analytical review;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003edocument data sources, methods, and study limitations.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cb\u003e6. 30-Day Request Review Terms\u003c\/b\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eA customer may submit a request for a payment return within 30 calendar days from the order date. Each request is reviewed under the current Siftanox policy, which describes the submission process, conditions, and possible exceptions. Customers should read the published store 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 all modules and submitting the final assignment, the learner receives a certificate of completion for \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003ePath Edition\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e. The document records the course title and the main subjects included in the curriculum.\u003c\/span\u003e\u003c\/p\u003e","brand":"Siftanox","offers":[{"title":"Default Title","offer_id":60307884147022,"sku":null,"price":254.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1057\/5259\/2718\/files\/Path.jpg?v=1785910512"}],"url":"https:\/\/siftanox.net\/collections\/basic-courses.oembed","provider":"Siftanox","version":"1.0","type":"link"}