У нас вы можете посмотреть бесплатно Excel Full Course for Data Analyst | Day 4 | Pivot Tables, Pivot Charts & Slicers или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
In Day 4 of the Excel Full Course for Data Analysts, this video provides a complete and practical understanding of Pivot Tables and Pivot Charts, one of the most powerful tools in Excel for data summarisation, analysis, and visualization. This session explains how to convert large raw datasets into meaningful summaries, analyse performance using filters, hierarchies, and slicers, and present insights using Pivot Charts and visual formatting techniques. This video is highly useful for Data Analysts, MIS Executives, Business Analysts, Power BI learners, working professionals, and students who want to analyse business data efficiently and create interactive reports in Excel. ⏱️ Video Timeline (Chapters) 00:00 – 02:00 | Introduction & Excel Templates Understanding Excel templates, how to download and use them. Discussion around VLOOKUP questions and a quick recap of the NOT operator. 02:00 – 06:00 | Pivot Table Introduction & Data Understanding What Pivot Tables are, why they are used, Excel data limitations, and overview of an e-commerce dataset including columns and records. 06:00 – 12:00 | Pivot Table Structure: Filters, Columns, Rows & Values Detailed explanation of the four Pivot Table pillars and how dragging fields creates instant summaries. 12:00 – 18:00 | Data Summarisation & Conditional Formatting Using Conditional Formatting, Data Bars, and Color Scales to identify high and low performance values. 18:00 – 25:00 | Filters, Sub-Categories & Hierarchical Analysis Applying filters, creating nested hierarchies, and analysing data by category, sub-category, and region. 25:00 – 40:00 | Creating & Using Pivot Charts How to create Pivot Charts, convert chart types (column, bar, line), apply color coding, legends, and 100% stacked charts. 40:00 – 50:00 | Using Slicers for Interactive Analysis Applying slicers to Pivot Tables and Pivot Charts for dynamic filtering and dashboard-style analysis. 50:00 – 57:00 | Pivot Chart Formatting Basics Adjusting chart text, layout, colors, outlines, and improving chart presentation. 57:00 – 01:05:00 | Pivot Chart Analyze Tab & Insert Slicer Understanding Pivot Chart Analyze options, inserting multiple slicers, and managing filters efficiently. 01:05:00 – 01:12:00 | Other Chart Options & Data Table Visuals Overview of Recommended Charts, Pie Charts, Line Charts, and commonly used business visuals. 01:12:00 – 01:18:30 | Inserting Images, Icons & Objects How to insert pictures, icons, and objects like PowerPoint slides for professional reporting. 01:18:30 – End | Dataset Management & Reporting Focus Best practices to avoid data overload, importance of hierarchy, filtering, and clear reporting. 🔑 Key Takeaways from This Video Pivot Tables for fast data summarisation Four Pivot pillars: Filters, Columns, Rows & Values Conditional Formatting for visual insights Pivot Charts for graphical analysis Slicers for interactive and dynamic filtering Chart formatting for professional reports Recommended Charts for business use Image, icon, and object insertion in Excel Avoiding data overflow and improving clarity ❓ Frequently Asked Questions (FAQs) Q1: What fields are used in Pivot Tables? Pivot Tables use four main areas: Filters, Columns, Rows, and Values. The Values area usually contains numerical data. Q2: What is the difference between a Pivot Chart and a normal chart? Pivot Charts are dynamic and linked to Pivot Tables, while normal charts are static. Q3: What is the use of Slicers in Excel? Slicers allow users to filter Pivot Tables and Pivot Charts interactively, making dashboards more user-friendly. Q4: Can Pivot Tables handle large datasets? Excel has limits (around 1 million rows). For very large datasets, tools like Power BI, SQL, or Python are better. Q5: How can we insert images or icons in Excel? Using the Insert tab, you can add pictures, online images, icons, and objects to enhance reports. 🎯 Conclusion This video helps you master Pivot Tables and Pivot Charts, enabling you to summarise, analyse, and visualise data effectively. These skills are essential for modern data analysis, reporting, and business decision-making. 📌 Action Steps: Practice Pivot Tables on real datasets Use slicers to create interactive reports Apply conditional formatting for insights Experiment with different chart types Start exploring Power BI or SQL for larger datasets 🔔 Watch till the end & Subscribe for the complete Excel Data Analyst series #ExcelForDataAnalyst #PivotTable #PivotChart #ExcelSlicers #ExcelDataAnalysis #ExcelDashboard #ExcelVisualization #ExcelFullCourse #DataAnalytics #LearnExcel #CodingAnalyticsWithAnkit