Data Analytics with Power BI - 45 Days Internship Training Program
Join 45 Days Data Analytics with Power BI Internship Training Program at NextVision Infotech. Learn Excel, SQL, Power BI, DAX, dashboards. ₹649 only with certificate.
Program Description
Skills You'll Learn
Projects You'll Work On
Complete Data Analytics with Power BI Project
Students will complete a full data analytics project including data collection, data cleaning, data modeling, DAX calculations, dashboard design, data visualization, data storytelling, and complete project documentation as per industry standards.
Program Modules
W1: Week 1: Data Analytics Fundamentals and Excel
Introduction to data analytics, types of analytics - descriptive, diagnostic, predictive, prescriptive, data analytics lifecycle, data types, data sources, data quality, data cleaning, Excel fundamentals, Excel interface, formulas and functions, lookup functions - VLOOKUP, HLOOKUP, INDEX-MATCH, XLOOKUP, logical functions - IF, AND, OR, nested IF, text functions, date functions, math functions, statistical functions, pivot tables, pivot charts, slicers, conditional formatting, data validation, what-if analysis, power query in Excel, power pivot in Excel.
W2: Week 2: SQL for Data Analytics
Introduction to databases, relational database concepts, SQL fundamentals, SELECT statement, WHERE clause, ORDER BY, GROUP BY, HAVING, JOINs - inner join, left join, right join, full join, cross join, self join, subqueries, correlated subqueries, CTEs (Common Table Expressions), window functions - ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD, aggregate functions - SUM, AVG, COUNT, MIN, MAX, string functions, date functions, case statements, unions, intersections, data manipulation - INSERT, UPDATE, DELETE, data definition - CREATE, ALTER, DROP, views, stored procedures, database design, normalization, indexing, query optimization.
W3: Week 3: Power BI Fundamentals and Data Modeling
Introduction to Power BI, Power BI Desktop, Power BI Service, Power BI Mobile, Power BI architecture, connecting to data sources - Excel, CSV, SQL Server, MySQL, PostgreSQL, Oracle, SharePoint, web, APIs, Power Query, data transformation, data cleaning, data profiling, combining queries, appending queries, merging queries, data modeling, star schema, snowflake schema, relationships, cardinality, cross-filter direction, calculated columns, calculated tables, date tables, hierarchies, role-playing dimensions, inactive relationships, data model optimization.
W4: Week 4: DAX and Advanced Calculations
Introduction to DAX, DAX syntax, DAX data types, DAX operators, calculated columns vs measures, evaluation contexts - row context, filter context, context transition, DAX functions - aggregate functions (SUM, AVERAGE, COUNT, MIN, MAX), iterator functions (SUMX, AVERAGEX, COUNTX), filter functions (CALCULATE, FILTER, ALL, ALLEXCEPT, REMOVEFILTERS), time intelligence functions (TOTALYTD, SAMEPERIODLASTYEAR, DATEADD, DATESYTD), relationship functions (RELATED, RELATEDTABLE, USERELATIONSHIP), ranking functions, statistical functions, text functions, date functions, DAX variables, DAX best practices, DAX performance optimization.
W5: Week 5: Data Visualization, Dashboard Design, and Live Projects
Data visualization principles, chart selection, bar charts, column charts, line charts, area charts, pie charts, donut charts, scatter charts, bubble charts, waterfall charts, funnel charts, gauge charts, KPI cards, maps, filled maps, shape maps, treemaps, matrix visuals, table visuals, slicers, filters, bookmarks, buttons, navigation, drill-through, drill-down, custom visuals, R visuals, Python visuals, dashboard design principles, layout design, color theory, accessibility, mobile layout, dashboard storytelling, live projects - sales dashboard, HR dashboard, financial dashboard, marketing dashboard, complete documentation.
W6: Week 6: Data Storytelling, Documentation, Viva, and Certification
Data storytelling fundamentals, narrative structure, data-driven storytelling, presenting insights, executive summaries, report design, report publishing, Power BI Service, workspaces, apps, dashboards, scheduled refresh, row-level security, data alerts, subscriptions, Power BI embedded, Power BI premium, project documentation, resume building, interview preparation, viva-voce examination, feedback session, certificate distribution.
Key Features
What You'll Learn
Examination Details
| Exam Name | Full Marks | Pass Marks |
|---|---|---|
| Module-wise Assessment | 100 | 40 |
| Project Evaluation | 100 | 50 |
| Final Presentation | 50 | 25 |
| Viva-Voce | 50 | 25 |
Internship Details
Prerequisites
- Pursuing or completed B.Tech/B.E./BCA/MCA/B.Sc. in any discipline
- Basic knowledge of Excel
- Basic computer knowledge
- Interest in data analytics
Who Can Enroll ?
- B.Tech students (1st to 8th semester)
- B.E. students
- BCA students (1st to 6th semester)
- MCA students
- B.Sc. students
- B.Com students
- Data analytics aspirants
- Working professionals wanting to upskill
- Students from all over India seeking practical training
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