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Frequently Asked Questions

Everything you need to know about our Data Analytics with AI Master Program — curriculum, enrollment, online/offline modes, faculty, and job assistance.

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General Questions
What is Sasthra Analytics?
Sasthra Analytics is a premier Data Analytics and Artificial Intelligence training institute based in Hyderabad, Telangana. We specialise in practical, job-oriented training with a focus on real-world industry projects. Our flagship program — the Data Analytics with AI Master Program — covers 7 tools: Advanced Excel, SQL Server, Power BI (with Microsoft Fabric), Python for Data Analytics, Tableau, Azure Data Factory, and Generative AI. Our lead trainer Mr. Anil Kumar brings 16+ years of hands-on industry experience.
What is the Data Analytics with AI Master Program?
The Data Analytics with AI Master Program is a comprehensive, end-to-end training program covering 7 modules:
  1. Advanced Excel — from basics to dashboards
  2. SQL Server — from basics to advanced queries & AI-powered SQL
  3. Power BI with Microsoft Fabric — Desktop, Service, Fabric, DAX, RLS
  4. Python for Data Analytics — EDA, Pandas, Matplotlib, Seaborn
  5. Tableau — from fundamentals to LOD expressions
  6. Azure Data Factory — cloud ETL & Medallion Architecture
  7. Generative AI & AI Tools — ChatGPT, Copilot, prompt engineering
The program also includes 3+ real-time projects, daily tasks, weekly assignments, resume prep, mock interviews, 500+ interview Q&A, GitHub portfolio, and 100% job assistance.
Do you offer online classes? Are they available outside Hyderabad?
Yes! Sasthra Analytics offers live, instructor-led online classes available for students across India — from Bengaluru, Chennai, Mumbai, Delhi, Pune, Kolkata to tier-2 and tier-3 cities. Classes are conducted via Zoom/Microsoft Teams and full session recordings are provided for revision. Offline classes are available at our Hyderabad centre. Both modes give you the same curriculum and project experience.
Who is the faculty at Sasthra Analytics?
Mr. Anil Kumar is the lead trainer and founder of Sasthra Analytics. He has 16+ years of real-time industry experience as a Data Analytics and Business Intelligence professional. His expertise spans SQL Server, Power BI, Python, Azure Data Factory, Tableau, and Generative AI. He has worked across multiple sectors including BFSI, healthcare, retail, and manufacturing — and brings genuine real-world case studies into every session.
How can I contact Sasthra Analytics?
You can reach us through any of the following channels: WhatsApp is the fastest way to get a quick response.
What are the batch timings?
We offer multiple batch options to accommodate different schedules:
  • Weekday Batches — Monday to Friday
  • Weekend Batches — Saturday and Sunday
  • Morning Batches — for students and early starters
  • Evening Batches — for working professionals
  • Fast-Track Program — intensive schedule for quick completion
Contact us at 7386981212 or WhatsApp for the latest batch dates and available slots.
Who can enroll for the Data Analytics with AI Master Program?
The program is open to a wide range of learners:
  • Fresh Graduates — BCA, B.Sc., B.Tech, MBA, BBA, B.Com
  • Working IT Professionals — developers, testers, support engineers wanting to upskill
  • Non-IT Professionals — finance, HR, operations, marketing professionals
  • Students — final-year students preparing for data analytics careers
Basic computer knowledge is sufficient. The program starts from Excel basics and builds up progressively.
Do I need programming experience before joining?
No prior programming experience is required. The Master Program is specifically designed to take complete beginners from zero to job-ready. SQL and Python are taught from absolute scratch with step-by-step, practical exercises. Mr. Anil Kumar's teaching methodology ensures every concept is explained with simple, real-world examples before advancing to complex topics.
Data Analytics with AI Master Program FAQs
What does the Data Analytics with AI Master Program include?
The Master Program is the most comprehensive data analytics offering at Sasthra Analytics. It includes:
  • 7 full modules: Excel, SQL Server, Power BI (with Fabric), Python, Tableau, Azure ADF, Generative AI
  • 3+ real-time industry projects (Retail, Banking, Insurance domains)
  • Daily practice tasks & weekly assignments per module
  • Resume preparation & LinkedIn profile optimisation
  • 500+ interview Q&A (module-wise)
  • Mock interviews — technical and HR rounds
  • GitHub portfolio guidance
  • 100% Job Assistance until placement
  • Course completion certificate
What is the duration of the Master Program?
The Data Analytics with AI Master Program spans 3 to 4 months for regular batches (weekday or weekend). A fast-track version is also available for experienced professionals who want to complete the program in a shorter timeframe. Contact us at 7386981212 for the current batch schedule.
How many real-time projects are included in the Master Program?
The Master Program includes 3+ real-time industry projects built using actual business data across multiple domains:
  • Retail Analytics — sales performance, inventory, customer segmentation
  • Banking / Finance — loan performance, risk dashboards, KPI reporting
  • Insurance — claims analysis, policy performance reporting
These projects are specifically designed to be discussed and showcased in job interviews, forming the core of your professional portfolio.
What additional support is included besides the course modules?
Beyond the 7 core modules, the Master Program includes a rich set of support elements:
  • Daily Tasks — hands-on practice after every topic covered
  • Weekly Assignments — structured assessments module-by-module
  • Resume Preparation — professional data analytics resume crafting guidance
  • Mock Interviews — simulated technical + HR interview rounds
  • 500+ Interview Q&A — comprehensive question bank covering all 7 tools
  • GitHub Portfolio — setting up and publishing your project portfolio
  • 100% Job Assistance — referrals, connections to 200+ hiring companies
Is the Master Program suitable for freshers with no work experience?
Absolutely yes. The Master Program is designed with freshers in mind. It begins from Excel fundamentals — no prior tool knowledge is required. Each module builds logically on the previous one, ensuring a smooth learning progression from beginner to advanced. By the end, even a complete fresher will have real-time project experience, a GitHub portfolio, and interview readiness to confidently apply for data analytics roles.
Can I enroll in individual modules instead of the full Master Program?
Yes, individual modules are available as standalone courses — Power BI, SQL Server, Python, Tableau, Azure Data Factory, and Advanced Excel can each be taken separately. However, we strongly recommend the Master Program for anyone looking to switch into data analytics or maximize their job prospects. The integrated curriculum, combined projects, and full placement support make it far more impactful than any single-tool course.
Advanced Excel & SQL Server FAQs
What Excel topics are covered in the Master Program?
The Advanced Excel module covers everything from basics to professional dashboards:
  • Excel fundamentals — formatting, sorting, filtering, conditional formatting
  • Lookup formulas — VLOOKUP, XLOOKUP, INDEX-MATCH
  • Logical & statistical functions — nested IF, SUMIFS, COUNTIFS, AVERAGEIFS
  • Pivot Tables & Pivot Charts — advanced grouping, slicers, timelines
  • What-If Analysis — Goal Seek, Scenario Manager, Data Tables
  • Power Pivot — multi-table data models with DAX inside Excel
  • Dynamic dashboards — KPI cards, charts, interactivity using slicers
  • Macros and VBA basics for automation
What SQL topics are covered in the Master Program?
The SQL Server module progresses from basics to advanced analytics queries:
  • SQL basics — SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • JOINs — INNER, LEFT, RIGHT, FULL OUTER, CROSS JOIN
  • Subqueries and CTEs (Common Table Expressions)
  • Window Functions — ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD
  • Stored Procedures, User-Defined Functions, Triggers
  • Indexing and query performance optimisation
  • T-SQL (Transact-SQL) for Microsoft SQL Server
  • AI-powered SQL — using ChatGPT & Copilot to write, debug and optimise queries
What is SQL Server with AI and how does it help?
SQL Server with AI is a unique module where you learn to use ChatGPT and Microsoft Copilot as your SQL assistant. You'll learn to:
  • Generate complex SQL queries using natural language prompts
  • Debug SQL errors faster using AI explanations
  • Optimise slow queries with AI-driven performance suggestions
  • Create SQL stored procedures and functions using AI assistance
  • Write better prompts to get precise SQL output from AI tools
This skill dramatically boosts your productivity as a data analyst and is increasingly expected in modern data roles.
Is SQL really necessary for a data analyst role?
Yes — SQL is arguably the single most important skill for a data analyst. Over 90% of data analyst job postings in India list SQL as a mandatory requirement. Whether you're using Power BI, Python, Tableau, or any other analytics tool, you still need SQL to extract, filter, and transform data from databases. Without SQL, you cannot independently query data — which is the fundamental job of any data analyst. Our program ensures you develop strong, interview-ready SQL skills.
What is the difference between VLOOKUP, XLOOKUP, and INDEX-MATCH?
All three are Excel lookup formulas used to retrieve data from a table:
  • VLOOKUP — looks up a value in the first column and returns a value from a specified column. Limited to left-to-right lookups only.
  • XLOOKUP — modern replacement for VLOOKUP. Can look in any direction, returns arrays, and handles errors gracefully. Available in Excel 365/2019+.
  • INDEX-MATCH — the most flexible and powerful lookup combination. Works in any direction, with any lookup column, and is not position-dependent. Preferred in complex Excel models.
Our Excel module covers all three in depth with practical business scenarios.
Power BI & Microsoft Fabric FAQs
What makes Sasthra Analytics' Power BI training unique?
Our Power BI training stands apart because it goes far beyond standard Power BI Desktop training. We cover the complete modern Power BI ecosystem:
  • Power BI Desktop — data modelling, Power Query, DAX, visualisations
  • Power BI Service — publishing, gateways, app workspaces, deployment pipelines
  • Microsoft Fabric — Lakehouse, OneLake, Data Factory in Fabric, Warehouse
  • Row Level Security (RLS) — static and dynamic security
  • Real-time dashboards and advanced analytics
  • AI visuals within Power BI — Q&A, decomposition tree, key influencers
This makes our students ready for both current and next-generation Power BI roles.
What is Microsoft Fabric and why is it important?
Microsoft Fabric is Microsoft's unified, end-to-end analytics platform launched in 2023. It integrates multiple services under a single SaaS umbrella:
  • Power BI — for reporting and visualisation
  • Data Factory — for ETL/data pipelines within Fabric
  • Lakehouse — for storing structured and unstructured data
  • OneLake — a single, unified data lake for the entire organisation
  • Warehouse — SQL-based analytics warehouse inside Fabric
Microsoft Fabric represents the future of enterprise analytics on Microsoft's cloud. Learning it now gives you a significant competitive advantage in the job market, as companies are actively migrating to Fabric.
Is DAX (Data Analysis Expressions) training included?
Yes — complete DAX training is a core part of the Power BI module. We cover DAX from basics to advanced:
  • Basic DAX — SUM, COUNT, AVERAGE, MIN, MAX, DISTINCTCOUNT
  • Filter context — CALCULATE, FILTER, ALL, ALLEXCEPT, REMOVEFILTERS
  • Iterator functions — SUMX, AVERAGEX, COUNTX, RANKX
  • Time Intelligence — TOTALYTD, SAMEPERIODLASTYEAR, DATEADD, DATESYTD
  • Advanced patterns — dynamic measures, what-if parameters, KPI measures
Strong DAX skills are among the most valued and highest-compensated in Power BI developer roles.
Is Row Level Security (RLS) covered?
Yes. Row Level Security (RLS) is an important Power BI topic covered in detail in our program. We cover:
  • Static RLS — defining fixed security roles in Power BI Desktop
  • Dynamic RLS — using USERNAME() / USERPRINCIPALNAME() functions to automatically filter data based on the logged-in user
  • Managing RLS roles in Power BI Service
  • Testing and validating RLS before publishing to end users
RLS is a critical enterprise skill for any Power BI developer working with multi-team dashboards.
Is Power BI Service covered in the training?
Yes, Power BI Service is fully covered. Students learn:
  • Publishing reports from Power BI Desktop to Power BI Service
  • Data Gateways — for scheduled refresh of on-premises data sources
  • App Workspaces — organising, sharing, and collaborating on reports
  • Deployment Pipelines — Dev → Test → Production workflow in Power BI
  • Subscriptions and alerts — automating report delivery
  • Sharing and permissions — controlling access to dashboards and reports
Python for Data Analytics & Tableau FAQs
Why should data analysts learn Python?
Python has become the essential programming language for data analysts because of its power and versatility:
  • Exploratory Data Analysis (EDA) — quickly understand any dataset's structure, patterns, and anomalies
  • Pandas — industry-standard library for data manipulation, cleaning, and transformation
  • Matplotlib & Seaborn — creating professional statistical visualisations
  • Statistics for analytics — descriptive stats, correlation, distributions
  • Automating repetitive data tasks
  • Integration with AI/ML libraries like scikit-learn for predictive analytics
Python skills significantly expand your career options and earning potential as a data analyst.
Do I need prior programming experience to learn Python in this program?
No prior programming experience is required. Our Python for Data Analytics module is structured for absolute beginners:
  • Python installation and environment setup (Anaconda / Jupyter Notebook)
  • Python fundamentals — variables, data types, lists, dictionaries, loops, functions
  • NumPy for numerical computing
  • Pandas for data loading, cleaning, filtering, merging, grouping
  • Matplotlib and Seaborn for charts, heatmaps, and distribution plots
  • Real-world EDA project from scratch to insights
The focus is on using Python as a data analytics tool — not software development.
What is a Tableau LOD expression?
LOD stands for Level of Detail — one of Tableau's most powerful and distinctive features. LOD expressions allow you to perform calculations at a different level of aggregation than what's visible in the view. There are three types:
  • FIXED — calculates at a specific dimension level, ignoring the view's level of detail (e.g., total sales per region regardless of filters)
  • INCLUDE — includes additional dimensions in the calculation beyond those in the view
  • EXCLUDE — removes a dimension from the calculation that would otherwise be included in the view
LOD expressions are frequently asked about in Tableau developer interviews and are covered thoroughly in our program.
Are both Tableau and Power BI taught in the program?
Yes! The Data Analytics with AI Master Program uniquely covers both Tableau and Power BI — making our students capable of working in organisations that use either tool. While Power BI dominates the Microsoft-centric enterprise market, Tableau is widely used in product companies, MNCs, and analytics-first organisations. Having both skills significantly broadens your job opportunities and positions you as a more versatile analytics professional.
What Tableau topics are covered in the Master Program?
Our Tableau module covers a comprehensive range of topics:
  • Tableau Public & Desktop interface and navigation
  • Connecting to data sources — Excel, SQL Server, CSV, web data
  • Dimensions vs measures, discrete vs continuous fields
  • Charts — bar, line, pie, map, scatter, box plot, bullet chart
  • Calculated fields and table calculations
  • LOD Expressions — FIXED, INCLUDE, EXCLUDE
  • Filters — quick filters, context filters, conditional filters
  • Parameters and sets for dynamic analysis
  • Dashboard design and interactive storytelling
Azure Data Factory & Generative AI FAQs
What is Azure Data Factory (ADF)?
Azure Data Factory (ADF) is Microsoft's cloud-based ETL (Extract, Transform, Load) and data integration service on the Azure platform. It allows you to:
  • Build data pipelines that ingest data from 90+ sources — databases, APIs, flat files, cloud storage
  • Transform data using Mapping Data Flows (code-free) or Data Flow scripts
  • Load data to Azure Data Lake Storage, Azure SQL, Synapse Analytics, or any target
  • Schedule and monitor pipeline runs with triggers and alerts
  • Integrate with Power BI for end-to-end data analytics workflows
ADF is the modern, cloud-first replacement for SSIS and is rapidly becoming the standard for data engineering in India.
What is the Medallion Architecture?
The Medallion Architecture is a layered data architecture pattern widely used in modern data lakes and lakehouses (including Microsoft Fabric and Azure Data Lake):
  • 🥉 Bronze Layer (Raw) — raw, unprocessed data ingested from source systems as-is. No transformations applied.
  • 🥈 Silver Layer (Cleansed) — data is cleaned, standardised, deduplicated, and validated. Business-ready but not yet aggregated.
  • 🥇 Gold Layer (Aggregated) — business-logic applied, KPIs calculated, data modelled for reporting and Power BI consumption.
This architecture ensures data quality, traceability, and scalability. Our Azure ADF module covers building a complete Medallion Architecture pipeline from scratch.
What AI tools are covered in the Master Program?
The Generative AI & AI Tools module covers practical AI skills for data analysts:
  • ChatGPT for Data Analytics — prompt engineering for SQL, Python, Excel, and data analysis tasks
  • Microsoft Copilot — AI assistant integrated into Power BI, Excel, and Azure
  • Generative AI fundamentals — how LLMs work, prompt engineering best practices
  • AI for SQL — generating, debugging, and optimising SQL queries with AI
  • AI-assisted dashboards — using Copilot in Power BI to generate insights and visuals
  • AI productivity tools — GitHub Copilot for Python, AI for data cleaning automation
Do I need prior cloud or Azure experience to join?
No prior cloud or Azure experience is required. The Azure Data Factory module starts with Azure fundamentals:
  • Setting up a free Azure account
  • Navigating the Azure portal and understanding Azure services
  • Azure resource groups, subscriptions, and billing concepts
  • Azure Blob Storage and Azure Data Lake Storage (ADLS Gen2)
From there, we progressively cover ADF pipelines, Data Flows, triggers, and the Medallion Architecture. SQL knowledge is beneficial but the module is designed to be accessible even if you're learning Azure for the first time.
What Azure services are covered beyond Azure Data Factory?
The Azure module covers a broader Azure ecosystem relevant to data analytics roles:
  • Azure Blob Storage — cloud object storage for raw data files
  • Azure Data Lake Storage Gen2 (ADLS) — hierarchical namespace for big data analytics
  • Azure SQL Database — managed cloud SQL database
  • Azure Data Factory — ETL pipelines, Mapping Data Flows, triggers, monitoring
  • Azure Synapse Analytics — integrated analytics workspace (overview)
  • Microsoft Fabric — Lakehouse, OneLake, Fabric Data Factory (covered in depth in the Power BI module)
Placement & Job Assistance FAQs
What does "100% Job Assistance" mean at Sasthra Analytics?
100% Job Assistance means we stand by every Master Program student until they land a data analytics job. Our placement support includes:
  • Resume Preparation — professional data analytics resume crafting and ATS optimisation
  • LinkedIn Optimisation — profile building for data analytics job searches
  • Mock Interviews — multiple rounds of technical and HR interview practice
  • 500+ Interview Q&A — module-wise question banks for all 7 tools
  • Company Referrals — direct referrals to our network of 200+ hiring companies
  • Job Portal Guidance — effective use of Naukri, LinkedIn, Indeed for data analytics roles
  • Ongoing Support — we continue to assist until placement is achieved
What is the average time to get placed after completing the program?
On average, students who complete the full Master Program and actively participate in placement activities get placed within 1 to 3 months of program completion. Key factors that accelerate placement:
  • Completing all 3+ real-time projects and publishing them on GitHub
  • Actively practising with mock interviews and the 500+ Q&A bank
  • Applying consistently on job portals with guidance from our team
  • Leveraging our company referral network
Placement timelines can vary based on individual backgrounds and current market conditions.
What data analytics roles can I target after the Master Program?
The Master Program prepares you for a wide range of in-demand roles:
  • Data Analyst — SQL + Excel + Python + visualisation tools
  • Power BI Developer / BI Developer — Power BI + DAX + Microsoft Fabric
  • SQL Developer (Analytics) — SQL Server + T-SQL + data warehousing
  • Azure Data Engineer — ADF + ADLS + Azure SQL + Fabric
  • Python Analyst — Python EDA + Pandas + data storytelling
  • Tableau Developer — Tableau + LOD + dashboard design
  • MIS Analyst — Excel + SQL + reporting tools
  • Analytics Consultant — multi-tool analytics with AI integration
Are mock interviews included in the program?
Yes — mock interviews are a structured part of our placement preparation. We conduct:
  • Technical Mock Interviews — covering SQL, Power BI/DAX, Python, Tableau, Azure, Excel
  • HR Mock Interviews — behavioural questions, salary negotiation, communication skills
  • 500+ Interview Q&A — comprehensive question bank for all 7 modules
  • Project Walk-Through Practice — how to confidently explain your real-time projects
  • Feedback Sessions — detailed feedback after each mock to identify and close gaps
By the time you appear for actual company interviews, you will be confident and well-prepared.
Does Sasthra Analytics help with resume preparation?
Yes, resume preparation is a dedicated part of our placement support. We guide you on:
  • Crafting a professional data analytics resume tailored to your experience level
  • Which tools and skills to highlight (Power BI, SQL, Python, Tableau, Azure, AI)
  • Describing real-time projects with the right technical keywords and business impact
  • ATS optimisation — ensuring your resume passes Applicant Tracking Systems
  • LinkedIn profile optimisation — headline, about section, and skills for data analytics
  • Portfolio and GitHub profile presentation tips

Still Have Questions?

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