DashCoreHubArticles
Every guide on DashCore Hub, from first formulas to AI-powered analytics.
Excel for Data Analysis: The Complete Beginner's Guide
Learn Excel for data analysis step by step: structure and clean data, use SUMIFS and XLOOKUP, summarize with PivotTables and build clear charts.
Read article →ExcelExcel Pivot Tables: Step-by-Step Guide with Examples
Create Excel PivotTables step by step: group dates, show % of total, add calculated fields and slicers, and keep reports accurate with GETPIVOTDATA.
Read article →ExcelXLOOKUP vs VLOOKUP vs INDEX-MATCH: Which One to Use
XLOOKUP vs VLOOKUP vs INDEX-MATCH compared with working formulas: exact match, left lookups, two-way and multi-criteria lookups, and which one to choose.
Read article →ExcelPower Query in Excel: Clean and Transform Data Automatically
Learn Power Query in Excel: connect to files, clean messy data with applied steps, combine a folder of files and refresh everything with one click.
Read article →ExcelHow to Build an Interactive Dashboard in Excel
Build an interactive Excel dashboard step by step: plan KPIs, create PivotTables and PivotCharts, add KPI cards and connect slicers and a timeline.
Read article →ExcelExcel Dynamic Arrays: FILTER, SORT, UNIQUE and SEQUENCE
Learn Excel dynamic arrays: FILTER, SORT, UNIQUE and SEQUENCE with practical formulas, spill ranges, the # operator and fixes for #SPILL! errors.
Read article →ExcelPower Pivot and the Excel Data Model Explained
Learn how Power Pivot and the Excel Data Model work: load multiple tables, create relationships, write DAX measures and build pivots beyond 1M rows.
Read article →ExcelExcel Charts: Best Practices for Clear Business Reports
Excel chart best practices for business reports: choose the right chart type, remove clutter, use color with intent and write insight titles.
Read article →ExcelConditional Formatting in Excel for Data Analysts
Master Excel conditional formatting for analysis: formula rules, whole-row highlights, duplicates, heatmaps, data bars and keeping workbooks fast.
Read article →ExcelLAMBDA and LET in Excel: Write Your Own Functions
Learn LET and LAMBDA in Excel: name values inside formulas, build reusable custom functions in Name Manager, and use BYROW, MAP and SCAN.
Read article →ExcelHow to Build a Weekly Sales Report in Excel
Build a weekly sales report in Excel step by step: an Excel Table, SUMIFS KPIs, week-over-week change, top 10 accounts and a trend chart that refreshes.
Read article →ExcelCopilot and AI in Excel: What It Can Do for Analysts
What Copilot in Excel can do for analysts in 2026: formulas, PivotTables, charts and Agent Mode, plus its limits and a workflow to get reliable results.
Read article →ExcelThe Excel Data Cleaning Checklist (20 Steps)
A 20-step Excel data cleaning checklist: fix structure, spaces, text numbers, dates, duplicates and categories, then validate totals and automate it.
Read article →Excel50 Excel Keyboard Shortcuts Every Analyst Should Know
50 Excel keyboard shortcuts for analysts, grouped by task: navigation, editing, formatting, formulas, Tables and filters, plus a 4-week plan to learn them.
Read article →ExcelExcel vs Power BI: When to Use Each One
Excel vs Power BI compared: data volume, sharing, refresh, security and learning curve, with a simple checklist to decide which tool fits your report.
Read article →ExcelForecasting in Excel: FORECAST.ETS and Trendlines
Learn to forecast sales in Excel with FORECAST.ETS, the one-click Forecast Sheet and chart trendlines, plus how to check accuracy and avoid common errors.
Read article →Power BIWhat Is Power BI? A Plain-English Introduction
What is Power BI? A plain-English guide to Microsoft's BI tool: its parts, what it's used for, how it compares to Excel, and how to start for free today.
Read article →Power BIYour First Power BI Report in 60 Minutes
Build your first Power BI report in 60 minutes: load and clean data, add a date table, write DAX measures, design a page with KPIs, charts and slicers.
Read article →Power BIDAX Basics: Measures, Calculated Columns and Context
Learn DAX basics for Power BI: how measures and calculated columns differ, when to use each, and how row context and filter context change your results.
Read article →Power BIThe CALCULATE Function in DAX, Explained Simply
The DAX CALCULATE function explained simply: filter by value, AND/OR conditions, KEEPFILTERS, percent of total with REMOVEFILTERS and context transition.
Read article →Power BIDAX Time Intelligence: YTD, MTD and Year-over-Year
Learn DAX time intelligence in Power BI: build a date table, then write YTD, MTD, year-over-year and rolling 12-month measures with working examples.
Read article →Power BIStar Schema in Power BI: How to Model Your Data
Learn how a star schema works in Power BI: fact vs. dimension tables, why it boosts performance, and how to turn a flat table into a clean model.
Read article →Power BIPower BI Relationships: Cardinality and Filter Direction
Understand Power BI relationships: one-to-many vs. many-to-many cardinality, single vs. both filter direction, inactive relationships and fixes.
Read article →Power BIPower Query M Language: A Practical Introduction
A practical intro to the Power Query M language: let/in structure, each, key functions, conditional columns, error handling and custom functions.
Read article →Power BIChoosing the Right Power BI Visual for Every Question
Choose the right Power BI visual for every business question: line, bar, card, KPI, matrix, scatter, waterfall and AI visuals, plus mistakes to avoid.
Read article →Power BIPower BI Dashboard Design: Layout, Color and UX
Design Power BI dashboards people understand: grid layouts, a meaningful color palette, theme JSON, KPI cards, interactions and a pre-publish checklist.
Read article →Power BIPower BI Service: Publishing, Workspaces and Sharing
Learn how to publish from Power BI Desktop, set up workspaces and roles, schedule refresh, and share reports with apps, links, Teams and the right license.
Read article →Power BIPower BI Licensing Explained: Free, Pro, Premium and Fabric
Power BI Free, Pro, Premium Per User and Fabric capacity explained in plain English: who needs which license, the F64 rule, Copilot and how to choose.
Read article →Power BIRow-Level Security (RLS) in Power BI
Set up row-level security in Power BI: static roles, dynamic RLS with USERPRINCIPALNAME(), testing with View as, assigning users and common mistakes.
Read article →Power BIPower BI Performance: 15 Ways to Make Reports Faster
Speed up slow Power BI reports with 15 fixes: Performance Analyzer, smaller models, efficient DAX, fewer visuals, query folding and incremental refresh.
Read article →Power BICopilot in Power BI: AI-Generated Reports and Narratives
Learn what Copilot in Power BI can do, what license and capacity you need, and how to build report pages, narratives and DAX with AI.
Read article →Power BIMicrosoft Fabric for Beginners: Where Power BI Is Going
Microsoft Fabric explained for beginners: OneLake, Direct Lake, lakehouses and what the platform means for Power BI users and analysts.
Read article →Power BIPL-300 Power BI Data Analyst Exam: Study Guide
PL-300 study guide: the four skill areas and weights, what to study in each, an 8-week plan and exam-day tips for the Power BI Data Analyst exam.
Read article →Power BIBuilding a Retail Sales Dashboard in Power BI
Build a retail sales dashboard in Power BI step by step: star-schema model, DAX for sales, margin and YoY growth, plus layout and design tips.
Read article →BI Tools & ConceptsWhat Is Business Intelligence? Concepts, Tools and Careers
What is business intelligence? Learn the core BI concepts, how data flows from source to dashboard, the most popular tools and BI career paths.
Read article →BI Tools & ConceptsTableau for Beginners: Your First Workbook
Learn Tableau from zero: pick the right free edition, connect data, build charts and calculated fields, and combine them into your first dashboard.
Read article →BI Tools & ConceptsData Studio (Looker Studio): Free Dashboards from Google Sheets
Build a free dashboard in Looker Studio (now Data Studio) from Google Sheets: prepare your data, add charts and filters, and share the report.
Read article →BI Tools & ConceptsQlik Sense Introduction: The Associative Engine
Learn how Qlik Sense's associative engine works, how to load data with a script, write set analysis expressions, and when Qlik is the right BI tool.
Read article →BI Tools & ConceptsPower BI vs Tableau: Honest Comparison
Power BI vs Tableau compared honestly: data prep, modeling, visuals, sharing, cost structure and careers, plus a simple way to test both for free.
Read article →BI Tools & ConceptsThe Best Free BI Tools for Small Businesses
Compare the best free BI tools for small businesses: Looker Studio, Power BI, Tableau Public, Metabase, Superset and Zoho, plus the catch with each.
Read article →BI Tools & ConceptsOpen-Source BI: Metabase and Apache Superset
Metabase vs Apache Superset: how the two leading open-source BI tools compare, what self-hosting really costs, and how to try both with Docker.
Read article →BI Tools & Concepts25 KPIs Every Business Should Track (with Formulas)
25 essential business KPIs for sales, finance, customers, operations and people, each with a simple formula plus DAX examples for Power BI.
Read article →BI Tools & ConceptsData Visualization Principles That Actually Work
Data visualization principles that work: choose the right chart, remove clutter, use color with intent and add context. Practical rules for any BI tool.
Read article →BI Tools & ConceptsData Storytelling: Turning Numbers into Decisions
Learn data storytelling: structure insights as Context, Conflict, Resolution, write takeaway titles, and use AI to draft narratives that drive decisions.
Read article →BI Tools & ConceptsSelf-Service BI: How to Roll It Out in a Company
How to roll out self-service BI: build certified data models, set governance, run a pilot, train users by role and measure adoption without chaos.
Read article →BI Tools & ConceptsEmbedded Analytics: Putting Dashboards Inside Your App
Learn what embedded analytics is, how to put secure dashboards inside your app with Power BI, Tableau, Metabase or Superset, and how to choose an approach.
Read article →SQL & DataSQL for Beginners: SELECT, WHERE and ORDER BY
Learn SQL from zero: how SELECT, WHERE and ORDER BY work, with a sample table, clear examples, common operators and beginner mistakes to avoid.
Read article →SQL & DataSQL JOINs Explained with Simple Examples
SQL JOINs explained with two small tables: INNER, LEFT, RIGHT, FULL OUTER and CROSS JOIN, finding unmatched rows and avoiding duplicated totals.
Read article →SQL & DataGROUP BY and Aggregate Functions in SQL
Learn SQL GROUP BY with SUM, COUNT, AVG, MIN and MAX: how NULLs affect results, WHERE vs HAVING, multi-column groups and pivot-style totals.
Read article →SQL & DataSQL Window Functions: ROW_NUMBER, RANK and Running Totals
Learn SQL window functions with clear examples: ROW_NUMBER vs RANK vs DENSE_RANK, top N per group, running totals, moving averages and LAG/LEAD.
Read article →SQL & DataCTEs and Subqueries in SQL
Learn when to use CTEs vs subqueries in SQL, with clear examples for filtering, ranking and recursive queries that make your BI reports easier to build.
Read article →SQL & DataConnecting Power BI to SQL Databases
Step-by-step guide to connecting Power BI to SQL Server, PostgreSQL or MySQL: Import vs DirectQuery, native queries, query folding and gateways.
Read article →SQL & DataData Warehouse Basics: Facts, Dimensions and Grain
Learn data warehouse basics: fact tables, dimension tables, grain, surrogate keys and slowly changing dimensions, with SQL examples for BI beginners.
Read article →SQL & DataETL vs ELT: How Data Gets into Your Dashboards
ETL vs ELT explained simply: how each data pipeline works, pros and cons, popular tools, and how to choose the right approach for your BI reports.
Read article →SQL & DataSnowflake vs BigQuery vs Databricks vs Fabric
Snowflake vs BigQuery vs Databricks vs Microsoft Fabric compared for BI: architecture, pricing models, Power BI fit, ease of use and which to pick.
Read article →SQL & Datadbt for Analysts: Transform Data with SQL
Learn dbt as an analyst: build SQL models with ref(), add tests and docs, choose materializations and organize staging and marts, step by step.
Read article →SQL & Data10 SQL Practice Projects for Your Portfolio
10 SQL practice projects for your data analyst portfolio, from beginner sales analysis to RFM segmentation, cohorts and query tuning, with datasets.
Read article →SQL & DataPostgreSQL vs MySQL vs SQL Server for Analytics
PostgreSQL vs MySQL vs SQL Server for analytics: compare features, licensing, SQL dialects and Power BI fit, with the same query written in all three.
Read article →SQL & DataData Quality and Governance for BI Teams
A practical guide to data quality and governance for BI teams: six quality dimensions, SQL checks, roles, a metric glossary and a simple rollout plan.
Read article →SQL & Data30 SQL Interview Questions for Data Analysts
30 SQL interview questions for data analysts with clear answers: joins, GROUP BY, NULLs, window functions, CTEs, plus classic coding problems solved.
Read article →Python & AIPython for Data Analysis: Where to Start
Where to start with Python for data analysis: free setup options, a realistic learning path, the key libraries, and a working pandas example for analysts.
Read article →Python & AIpandas Tutorial: DataFrames for Excel Users
Learn pandas DataFrames the Excel way: filters, formulas, VLOOKUP-style merges, pivot tables and exporting back to Excel, with working Python examples.
Read article →Python & AIPython in Excel: What It Is and How to Use It
Python in Excel explained: how the =PY function and xl() work, Python objects vs Excel values, practical pandas examples, availability and key limitations.
Read article →Python & AIPython and R Visuals in Power BI
How to build Python and R visuals in Power BI: setup, the dataset DataFrame, Matplotlib and ggplot2 examples, row limits, interactivity and publishing.
Read article →Python & AICharts in Python: Matplotlib vs Plotly
Matplotlib vs Plotly compared for analysts: static vs interactive charts, side-by-side line and bar examples, export options and how to pick the right one.
Read article →Python & AIHow AI Is Changing Business Intelligence
How AI is changing business intelligence: faster data prep, natural-language Q&A, automated narratives, real limits and the analyst skills that matter now.
Read article →Python & AIUsing ChatGPT and Claude as a Data Analyst
How data analysts can use ChatGPT and Claude for SQL, DAX, Excel and Python: a reusable prompt structure, five daily workflows and habits for accuracy.
Read article →Python & AI40 AI Prompts for Data Analysis, Excel and DAX
40 copy-and-paste AI prompts for data cleaning, Excel formulas, DAX, SQL, Python and reporting, plus a simple schema block that makes every answer better.
Read article →Python & AISales Forecasting with Python (Beginner Project)
Beginner sales forecasting project in Python: load monthly sales with pandas, beat a seasonal baseline with Holt-Winters, check MAPE and export a forecast.
Read article →Python & AIMachine Learning Basics for BI Analysts
Machine learning basics for BI analysts: key terms, model types, a churn prediction example in Python with scikit-learn, and the traps to avoid.
Read article →Python & AIJupyter Notebooks: A Guide for Analysts
Learn how Jupyter Notebooks work for data analysis: setup options, a step-by-step sales analysis, good habits, sharing tips and when to use them.
Read article →Python & AIAutomate Excel Reports with Python
Automate a weekly Excel report with Python: combine CSV exports with pandas, format the workbook with openpyxl and schedule it to run on its own.
Read article →Python & AIBuild Web Dashboards with Streamlit
Build an interactive web dashboard with Streamlit and Python: filters, KPI cards, Plotly charts and downloads, plus how to share it with your team.
Read article →Python & AINatural-Language Queries: Asking Your Data Questions
Learn how natural-language queries turn plain questions into SQL or DAX, where to use them, how to ask better questions and how to verify the answers.
Read article →CareerHow to Become a BI Analyst in 2026: Roadmap
A step-by-step 2026 roadmap to become a BI analyst: Excel, SQL, Power BI, storytelling and AI skills, portfolio projects and how to land your first role.
Read article →CareerBI Analyst Skills Employers Want
The BI analyst skills employers want: SQL, Power BI or Tableau, Excel, data modeling, DAX, storytelling and AI tools, plus how to prove each one.
Read article →CareerHow to Build a Data Analyst Portfolio That Gets Interviews
Build a data analyst portfolio that gets interviews: which projects to include, how to structure each case study, where to host it, and mistakes to avoid.
Read article →CareerThe Best BI and Data Certifications
Compare the best BI and data certifications: Microsoft PL-300 and DP-600, Tableau exams, and Google's Data Analytics certificate, plus how to choose yours.
Read article →CareerFreelance BI: How to Get Your First Dashboard Clients
Start freelancing in BI: choose a niche, package a dashboard offer, price your projects, find your first clients, and deliver work that earns referrals.
Read article →CareerBest Laptops and Monitors for Data Analysis
What laptop and monitor you need for data analysis: RAM, CPU, SSD and screen specs for Power BI, Excel, Tableau and Python, plus a quick buying checklist.
Read article →