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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.

45 Days
Anywhere in India • Patna • (Offline & Online)
INT-AIDS-PBI-45D
Data Analytics with Power BI - 45 Days Internship Training Program Banner

Program Description

NextVision Infotech presents a comprehensive Data Analytics with Power BI Internship Training Program spanning 45 days. This intensive program is designed for students across all disciplines - B.Tech, B.E., BCA, MCA, B.Sc., Diploma, and other technical streams - who want to build a strong foundation in data analytics and business intelligence using Power BI. The program covers the complete data analytics lifecycle from data collection to dashboard creation and storytelling. Students will learn Excel for data analysis, SQL for data querying, Power BI fundamentals, data modeling, DAX, data visualization, dashboard design, and data storytelling. Over six weeks, the program progresses from fundamentals to advanced data analytics. Week 1 introduces data analytics fundamentals and Excel. Week 2 covers SQL for data analytics. Week 3 focuses on Power BI fundamentals and data modeling. Week 4 covers DAX and advanced calculations. Week 5 is dedicated to data visualization, dashboard design, and live projects. Week 6 covers data storytelling, documentation, viva, and certification. The program follows industry-standard workflows used by professional data analysts and business intelligence professionals across India. Students work on real-world datasets, prepare dashboards, reports, and complete documentation. The curriculum draws inspiration from premier technical institutions across India and follows professional data analytics standards used in the industry. Students gain practical skills that prepare them for careers in data analytics, business intelligence, and data visualization. This program is delivered both online and offline, allowing students from any state or city across India to enroll and benefit. The institute is ISO 9001:2015 certified, and the internship certificate is accepted by universities, colleges, and companies throughout the country. Upon successful completion, students receive an Internship Certificate, Industrial Training Certificate, Project Completion Certificate, and an Offer Letter. Learning outcomes include mastering Excel, SQL, Power BI, DAX, data visualization, dashboard design, and data storytelling.

Skills You'll Learn

Data Analytics
Excel
SQL
Power BI
DAX
Power Query
Data Modeling
Data Visualization
Dashboard Design
Data Storytelling
Business Intelligence
ETL
KPI Design

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

1

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.

2

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.

3

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.

4

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.

5

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.

6

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

45 Days Comprehensive Training
Industry-Standard Curriculum
Live Analytics Projects
Professional Portfolio Development
ISO 9001:2015 Certified Institute
Offer Letter Provided
Internship Certificate Included
Industrial Training Certificate
Project Report Guidance
Viva-Voce Preparation
Online & Offline Mode
Pan-India Enrollment

What You'll Learn

Master Excel for data analysis
Query databases using SQL
Build data models in Power BI
Write DAX calculations
Design interactive dashboards
Apply data visualization best practices
Perform data storytelling
Publish and share Power BI reports
Build a professional analytics portfolio
Prepare for data analytics jobs across India

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
Data Analytics with Power BI - 45 Days Internship Training Program

Internship Details

Duration 45 Days
Location Anywhere in India • Patna • (Offline & Online)
Available Seats 100
Course Code INT-AIDS-PBI-45D
Apply Now — ₹649

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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