A: This program trains you to analyze data, build dashboards, use AI tools, write SQL queries, perform ETL, design Power BI reports, and apply Python for data analytics. It is fully job-oriented with 100% hands-on practice.
Q2: What are the main components of the .NET framework?
A: The main components of the .NET framework are the Common Language Runtime (CLR), the Base Class Library (BCL), and the Framework Class Library (FCL).
Q3: What are the modules included in this training?
A: Module 1: MSSQL & TSQL (3 Weeks, 2 Case Studies) Module 2: Power BI with AI & CoPilot (4 Weeks, 4 Case Studies) Module 3: Python for Data Analytics (3 Weeks, 1 Case Study) Module 4: Realtime Projects + Excel + PL-300 + 1:1 Resume + Mock Interviews
Q4: Do I need programming knowledge?
A: No. Programming is not required. Python is taught only for data analytics tasks, not for software development. The entire program is beginner-friendly.
Q5: What SQL skills will I learn as part of Module 1?
A: You will learn SQL basics, commands, joins, constraints, keys, schemas, stored procedures, triggers, CTEs, indexes, grouping, window functions, merge, transactions, and 2 real-time case studies (Medicare & E-commerce).
Q6: Will Power BI be taught from basics?
A: Yes. You will learn Power BI from scratch: Data modelling, visualizations, filters, DAX, Power Query, templates, dashboards, cloud publishing, gateways, apps, and real-time analytics workflows.
Q7: Does this course include AI and CoPilot?
A: Yes. You will learn AI components in Power BI, CoPilot integration, automation, cloud-based CoPilot usage, and how AI enhances BI reporting & analytics.
Q8: Do we learn DAX (Data Analysis Expressions)?
A: Yes. You will learn DAX columns, measures, filters, aggregations, variables, context transitions, time intelligence (YTD, QTD, MTD), RLS security, and real-time reporting.
Q9: Is Power Query included?
A: Yes. You will learn tables, column transformations, text/date/number operations, merges, pivots, parameters, advanced editor, and ETL logic using Power Query.
Q10: Does this course include Cloud concepts?
A: Yes. You will learn Power BI Cloud operations, dashboards, refresh schedules, gateways, reports, apps, security, and cloud user management.
Q11: Do we learn Power BI Report Server as well?
A: Yes. Installation, configuration, report publishing, database setup, server URL, paginated reports (RDL), and report builder usage are included.
Q12: Will I learn Advanced Excel as part of this program?
A: Yes. Excel analytics, data modelling, formatting, SQL/JSON/AVRO integrations, and “Analyze in Excel” using Power BI Cloud are included.
Q13: What Python skills will I learn for data analytics?
A: Yes. You will work on multiple real-time projects across E-commerce, Financial Analytics, Healthcare, Banking, and Excel-to-PowerBI analytics scenarios.
Q15: Will you help with PL-300 certification?
A: Yes. Full PL-300 (Microsoft Power BI Data Analyst) exam guidance, mock exams, question practice, and certification strategy are included.
Q16: Is 1:1 support available for resume and mock interviews?
A: Yes. You get personalized resume building sessions, interview preparation, weekly mock interviews, and performance feedback.
Q17: Do you provide daily and weekly assignments?
A: Yes. Daily hands-on assignments, chapter-wise exercises, and weekly mock interviews are part of the training to ensure job readiness.
Q18: Is this Data Analyst course suitable for non-IT background students?
A: Absolutely. The program starts from basic data concepts and gradually moves into SQL, Power BI, DAX, Python, and AI, making it perfect for freshers & non-IT aspirants.
Q19: What job roles can I apply for after completing this course?
A: Data Analyst, Business Analyst, Power BI Developer, SQL Analyst, Reporting Analyst, BI Analyst, MIS Analyst, Data Visualization Engineer, Python Analyst.
Q20: What training modes are available for this Data Analyst with AI program?
A: LIVE Online Training, Self-Paced Video Training, Corporate Training, and Free Demo Sessions with the trainer.
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