Data Analyst Training in Delhi for Learning Advanced Power BI, Tableau and Dashboard Automation in 2027

Data Analyst Training in Delhi for Learning Advanced Power BI, Tableau and Dashboard Automation in 2027 | Free Alteryx, Prompt Engineering, Gen AI Skills and IBM Certification Support by SLA Consultants India

Executive Overview

In today’s data-driven business landscape, automated reporting, interactive dashboards, and scalable visual analytics are essential for organization-wide decision-making. Enrolling in a structured Data Analyst Course provides aspiring professionals, business analysts, engineers, and commerce graduates with the industry-relevant expertise needed to transform complex unstructured datasets into actionable executive insights. Offered by SLA Consultants India, this industry-aligned training framework combines core analytical tools with modern Artificial Intelligence, machine learning algorithms, and automated ETL pipelines to prepare candidates for high-growth corporate careers in 2027 and beyond.

The Data Analyst Course in Delhi program emphasizes practical learning through real-time business cases, hands-on lab sessions, and live projects across finance, marketing, supply chain, and healthcare domains. Participants learn to automate repetitive spreadsheet tasks, build enterprise-grade data pipelines, and deploy interactive visualization dashboards that drive corporate strategy.

Comprehensive Course Curriculum & Modules

Module 1: Basic & Advanced Excel for Data Analysis & Business Intelligence

• Mastering formulas, dynamic functions (XLOOKUP, INDEX-MATCH), and conditional formatting.

• Data validation, multi-sheet consolidation, and structured table management.

• Pivot Tables, Pivot Charts, Slicers, and dynamic dashboard architecture.

Module 2: Advanced VBA / Macro & Process Automation

• Introduction to Visual Basic for Applications (VBA) architecture and IDE.

• User-defined functions (UDFs), variables, loops, and logic control.

• UserForms, event-driven programming, and automated cross-workbook report generation.

Module 3: SQL Server & MS Access Database Management

• Relational database design, normalization, and Schema management.

• Writing efficient DDL/DML queries, complex JOIN operations, and subqueries.

• Stored procedures, views, indexing, and performance optimization for analytics.

Module 4: MS Power BI Desktop & Service for Enterprise BI

• Data extraction from diverse sources, M-Query transformation in Power Query Editor.

• Data modeling, star/snowflake schemas, and relationships.

• DAX (Data Analysis Expressions) measures, calculated columns, and time-intelligence functions.

• Interactive dashboard construction, row-level security (RLS), and cloud service publishing.

Module 5: Tableau Visual Analytics & Executive Dashboards

• Connecting to enterprise databases and managing live vs. extract data sources.

• Building custom charts, calculated fields, parameters, and table calculations.

• Storyboarding, interactive actions, filter controls, and dashboard optimization.

Module 6: Python Programming for Data Analytics & Scientific Computing

• Core Python syntax, data structures, functions, and control flow.

• Data wrangling and cleaning with Pandas and NumPy libraries.

• Exploratory Data Analysis (EDA) and visualization using Matplotlib and Seaborn.

Module 7: Alteryx Visual ETL & Automated Workflow Development (Free Bonus Module)

• Visual data blending, cleansing, and multi-source join operations.

• Building automated spatial and analytical ETL workflows without complex coding.

• Streamlining data preparation for Power BI and Tableau integration.

Module 8: R Programming for Statistical Analysis & Predictive Modeling

• R syntax, data frames, matrix operations, and dplyr data manipulation.

• Descriptive statistics, correlation matrix analysis, and probability distributions.

• Statistical hypothesis testing and linear regression modeling in RStudio.

Module 9: Generative AI & Prompt Engineering for Business Analytics (Free Bonus Module)

• AI-assisted SQL query building, DAX measure creation, and Python code debugging.

• Utilizing Large Language Models (LLMs) for automated text processing and insight generation.

• Structuring prompt engineering strategies for automated reporting and analytical workflows.

Module 10: Machine Learning Foundations & Predictive Analytics Models

• Supervised and unsupervised learning principles for business decisioning.

• Classification, regression, clustering (K-Means), and decision trees with Scikit-Learn.

• Model performance evaluation, accuracy metrics, and cross-validation techniques.

Module 11: Soft Skills, Technical Resume Optimization & Placement Support

• Technical interview prep, mock viva sessions, and case study presentations.

• Resume building tailored for Data Analyst, BI Developer, and Analytics Specialist roles.

• 100% placement assistance support connecting candidates with top corporate hiring partners.

Why Choose SLA Consultants India?

Choosing this comprehensive Data Analyst Training in Delhi ensures that learners gain hands-on proficiency with industry-standard BI toolkits, automated workflow software, and AI-powered analytical methods. SLA Consultants India stands out by delivering real-world project exposure, flexible weekday/weekend batches, dedicated lab infrastructure, and full IBM certification support—empowering candidates to excel in competitive data science and business intelligence markets in 2027.

Institute Name: SLA Consultants India

Address: 82-83, 3rd Floor, Vijay Block, Above Titan Eye Shop, Metro Pillar No. 52, Laxmi Nagar, New Delhi – 110092

Official Website: SLA Consultants India

Course Landing Page: Data Analytics Course with AI