Power BI Course in Nagpur | Unisoft Technologies
Master Business Intelligence with Our Power BI Course in Nagpur
Wondering what is Power BI course? It's your gateway to mastering data analytics. Unisoft Technologies offers comprehensive Power BI classes in Nagpur, designed to transform you into a business intelligence expert.

Why Enroll in Our Power BI Classes in Nagpur?
- Local Expertise: Our Power BI course in Nagpur is tailored to meet the needs of local businesses and students, providing relevant case studies and examples.
- Affordable Learning: We believe in providing quality education at a reasonable Power BI course fee, making it accessible to everyone.
- Comprehensive Curriculum: Learn everything from data visualization to advanced analytics with our well-rounded Power BI classes.
Power BI Course Fee and Features
Our Power BI course fee is structured to provide the best value for your investment. You'll gain access to:
- Expert Instructors: Benefit from the knowledge and experience of industry veterans like Raina Nair Mam and Renu Nair Mam.
- Hands-On Experience: Our Power BI course includes practical projects and scenarios to prepare you for real-world challenges.
- Career Growth: Equip yourself with in-demand skills that are essential in today's data-driven job market.
Join Unisoft Technologies for a Power BI course in Nagpur that bridges the gap between data and decision-making. Transform your career with us!
Power BI is one of the key tools covered in our Data Analyst Course in Nagpur , helping students build dashboards and perform real-world data visualization projects.
Course Content.
1. Introduction.
- What is Power BI.
- Types of Power BI products.
- Introduction of Power BI desktop.
- Installing Power BI desktop.
2. Power Bi File Types & DATA TYPES.
- Power BI Reports (.pbix).
- Power BI Templates (.pbit).
- Different Data types of Power BI.
3. Power BI Data Sources
- Excel Workbook.
- MySQL Server.
- Oracle Server.
- New Table (Creating a new Table Manually)
4. Components of Power BI.
- Power BI Query.
- Power BI Pivot.
- Power BI Service.
5. Introduction to Various Visuals.
- Bar Chart.
- Line Chart.
- Area.
- Stacked Bar Chart.
- Histograms.
- Heatmaps.
- Treemaps.
- Ribbon Graph.
- Gause Chart.
- Pie Chart.
- Scatterplot.
- Funnel.
- Donut.
- Filled, Symbolic Maps.
6. Advance Visuals in Power BI.
- Card.
- Multi Row Card.
- Kpi Visual.
- Card (New).
- Slicer.
7. AI Visuals.
- Key Influencers.
- Decomposition Tree.
8. Data Modelling in Power BI.
- What is Data Modelling.
- How does a star schema work.
- Create Relationships in Power BI.
- Cardinality.
- Optimize your Power BI Model.
9. DAX in Power BI.
- Introduction.
- Types of DAX Expression.
- New DAX functions.
- FIRST.
- LAST.
- NEXT.
- PREVIOUS.
- MATCHBY.
- RANK.
- ROWNUMBER.
- LINEST.
- LINESTX.
- Aggregate Function.
- APPROXIMATEDISTINCTCOUNT.
- AVERAGE.
- AVERAGEA.
- AVERAGEX.
- COUNT.
- COUNTA.
- COUNTAX.
- COUNTBLANK.
- COUNTROWS.
- COUNTX.
- DISTINCTCOUNT.
- DISTINCTCOUNTNOBLANK.
- MAX.
- MAXA.
- MAXX.
- MIN.
- MINA.
- MINX.
- PRODUCT.
- PRODUCTX.
- SUM.
- SUMX.
- Filter Function.
- ALL.
- ALLCROSSFILTERED.
- ALLEXCEPT.
- ALLNOBLANKROW.
- ALLSELECTED.
- CALCULATE.
- CALCULATETABLE.
- EARLIER.
- EARLIEST.
- FILTER.
- FIRST.
- INDEX.
- KEEPFILTERS.
- LAST.
- LOOKUPVALUE.
- MATCHBY.
- MOVINGAVERAGE.
- NEXT.
- OFFSET.
- ORDERBY.
- PARTITIONBY.
- PREVIOUS.
- RANGE.
- RANK.
- REMOVEFILTERS.
- ROWNUMBER.
- RUNNINGSUM.
- SELECTEDVALUE.
- Logical Functions.
- AND.
- BITAND.
- BITSHIFT.
- BITOR.
- BITRSHIFT.
- BITXOR.
- COALESEC.
- FALSE.
- IF.
- IF.EAGER.
- IFERROR.
- NOT.
- OR.
- SWITCH.
- TRUE.
- Text Functions.
- COMBINEVALUES.
- CONCATENATE.
- CONCATENATEX.
- EXACT.
- FIND.
- FIXED.
- FORMAT.
- LEFT.
- LEN.
- LOWER.
- MID.
- REPLACE.
- REPT.
- RIGHT.
- SEARCH.
- SUBSTITUTE.
- TRIM.
- UNICHAR.
- UNICODE.
- UPPER.
- VALUE.
- Date Functions.
- CALENDAR.
- CALENDARAUTO.
- DATE.
- DATEDIFF.
- DATEVALUE.
- DAY.
- EDATE.
- EOMONTH.
- HOUR.
- MINUTE.
- MONTH.
- NETWORKDAYS.
- NOW.
- QUARTER.
- SECOND.
- TIME.
- TIMEVALUE.
- TODAY.
- UTCNOW.
- UTCTODAY.
- WEEKDAY.
- WEEKNUM.
- YEAR.
- YEARFRAC.
- Time-Intelligence Functions.
- CLOSINGBALANCEMONTH.
- CLOSINGBALANCEQUARTER.
- CLOSINGBALANCEYEAR.
- DATEADD.
- DATESBETWEEN.
- DATESINPERIOD.
- DATESMTD.
- DATESQTD.
- DATESYTD.
- ENDOFMONTH.
- ENDOFQUARTER.
- ENDOFYEAR.
- FIRSTDATE.
- FIRSTNONBLANK.
- LASTDATE.
- LASTNONBLANK.
- NEXTDAY.
- NEXTMONTH.
- NEXTMONTH.
- NEXTYEAR.
- OPENINGBALANCEMONTH.
- OPENINGBALANCEQUARTER.
- OPENINGBALANCEYEAR.
- PARALLELPERIOD.
- PREVIOUSDAY.
- PREVIOUSMONTH.
- PREVIOUSQUARTER.
- PREVIOUSYEAR.
- SAMEPERIODLASTYEAR.
- STARTOFMONTH.
- STARTOFQUARTER.
- STARTOFYEAR.
- TOTALMTD.
- TOTALQTD.
- TOTALYTD.
- Parent and Child Functions.
- PATH.
- PATHCONTAINS.
- PATHITEM.
- PATHITEMREVERSE.
- PATHLENGTH.
- Group By.
- Relationship Functions.
- PATHLENGTH.
- RELATED.
- RELATEDTABLE.
- USERELATIONSHIP.
- Quick Measures.
- VAR.
10. Power BI Core Concept 1.
- Formatting.
- Conditional Formatting.
- Summarization.
- Web-URL.
- Hierarchy.
- Groups.
- Trend Lines.
- Bin.
- Forecasting.
- Chart Elements.
- Drill Through.
- ToolTip and Adding Visuals to ToolTip.
11. Dashboard and Actions.
- Creating Dashboard.
- Bookmark Action.
- Page Navigation Action.
- Drill Through Action.
- Back Action.
- Web URL Action.
- Publish the Dashboard in Power BI sercive workspace.