Executive Summary & Course Overview

In an increasingly data-driven corporate ecosystem, organizations depend heavily on advanced data analytics, automated reporting workflows, and artificial intelligence to optimize operational performance and maintain competitive advantage. The Data Analyst Course in Delhi at SLA Consultants India equips working professionals and aspiring analytics specialists with end-to-end expertise in modern data management, reporting automation, and predictive intelligence. Designed specifically for the high-demand corporate landscape of 2027, this certification program bridges the gap between raw data collection and strategic executive decision-making.

Key Highlights of the Certification Program

• Industry-Aligned Curriculum: Master core analytical tools including Advanced Excel, VBA Macros, SQL Server, Power BI, Tableau, Python, Alteryx, R, and AI-powered Prompt Engineering.
• 100% Job Placement Assistance: Dedicated placement cell offering interview scheduling, corporate networking, and continuous job support until successful placement.
• IBM Certification Alignment: Program modules are mapped against international standards to help participants earn globally recognized certifications.
• Hands-on Live Capstone Projects: Real-world corporate case studies across retail, finance, healthcare, e-commerce, and supply chain domains.
• Flexible Learning Modes: Options for online live interactive sessions as well as in-person classroom training in Delhi NCR with weekday and weekend batches.

Detailed Course Modules & Syllabus

Module 1: Basic & Advanced Excel with Business & Financial Analytics

• Fundamental & Advanced Functions (VLOOKUP, XLOOKUP, INDEX-MATCH, OFFSET, INDIRECT)
• Dynamic Pivot Tables, Slicers, Calculated Fields, and Pivot Charts
• Advanced Financial Formulas, Dynamic Array Functions, and Data Audit Tools
• Logical Formulas, Nested IF Statements, AND/OR Logic, and Error Handling
• Business Scenario Modeling, Goal Seek, Solver, and Data Tables
• What-If Analysis and Interactive Executive Dashboard Design

Module 2: Advanced VBA / Macros & Custom Process Automation

• Introduction to VBA Editor, Object-Oriented Architecture, and Macro Recording
• Variables, Data Types, Constants, Scope, and Custom Procedures
• Control Structures: If-Then-Else, Select Case, For Next, For Each, and Do While Loops
• Automating Cross-Workbook Data Consolidation and Email Distribution
• Custom User Forms, Dialog Boxes, Controls, and Event-Driven Programming
• Error Handling, Debugging Techniques, and Performance Optimization

Module 3: SQL Server & MS Access Database Management

• Relational Database Management Systems (RDBMS) Fundamentals & Data Architecture
• Data Definition Language (DDL) and Data Manipulation Language (DML) Commands
• Advanced Querying: INNER, LEFT, RIGHT, FULL OUTER, and CROSS JOINs
• Aggregations, Grouping, HAVING Clauses, and Subqueries
• Advanced Window Functions: RANK(), DENSE_RANK(), ROW_NUMBER(), NTILE(), and LEAD/LAG
• Stored Procedures, Views, Indexing, and Performance Tuning

Module 4: MS Power BI for Enterprise Business Intelligence & Interactive Dashboarding

• Power BI Desktop Architecture, Data Ingestion, and Multi-Source Integration
• Power Query Editor: Data Cleansing, Transformation, Unpivoting, and Shaping
• Data Modeling: Star Schema, Snowflake Schema, and Relationship Management
• DAX (Data Analysis Expressions): Calculated Columns, Measures, CALCULATE, and Time Intelligence
• Advanced Visualizations, Custom Visuals, Drill-Down, Drill-Through, and Bookmarks
• Power BI Service: Workspace Management, Scheduled Refresh, Row-Level Security (RLS), and Publishing

Module 5: Tableau Visual Analytics & Corporate Data Storytelling

• Tableau Desktop Workspace, Architecture, and Data Connection Types (Live vs Extract)
• Data Blending, Joins, Unions, and Data Source Management
• Calculated Fields, Level of Detail (LOD) Expressions (INCLUDE, EXCLUDE, FIXED)
• Interactive Visualizations: Heat Maps, Treemaps, Gantt Charts, Pareto Charts, and Dual Axis Charts
• Dashboard Design Principles, Actions (Filter, Highlight, URL), and Story Points
• Publishing Dashboards to Tableau Server/Public and Interactive Sharing

Module 6: Python Programming for Data Science & Analytics

• Python Core Fundamentals: Data Structures (Lists, Tuples, Dictionaries, Sets), Loops, and Functions
• Data Manipulation with Pandas: DataFrames, Indexing, Filtering, GroupBy, Merging, and Reshaping
• Numerical Computing with NumPy: N-dimensional Arrays, Vectorization, and Linear Algebra
• Data Visualization with Matplotlib & Seaborn: Histograms, Scatter Plots, Box Plots, and Heatmaps
• Exploratory Data Analysis (EDA) Techniques and Missing Data Handling
• Introduction to Predictive Analytics with Scikit-Learn

Module 7: Alteryx for Automated Data Preparation & ETL Workflows

• Introduction to Alteryx Designer Interface and Canvas Workflow Management
• Data Preparation Tools: Select, Filter, Sample, Sort, Formula, and Record ID
• Data Joining Tools: Join, Union, Find Replace, and Fuzzy Match
• Data Transformation & Parsing Tools: Transpose, Cross Tab, Text to Columns, and Regex
• Workflow Automation, Macro Creation, and Batch Processing
• Exporting Processed Data to Databases, Power BI, and Tableau Formats

Module 8: R Programming for Statistical Analytics & Predictive Modeling

• R Syntax, Data Types, Data Frames, Factors, and Vectors
• Data Manipulation using dplyr and tidyr Packages
• Statistical Analysis: Descriptive Statistics, Hypothesis Testing, t-tests, ANOVA, and Chi-Square
• Predictive Modeling: Linear Regression, Logistic Regression, and Time Series Forecasting
• Data Visualization with ggplot2 Package
• Building Statistical Reports for Executive Decision-Making

Module 9: Soft Skills, Technical Resume Optimization & Mock HR Interview Preparation

• Personality Development, Corporate Communication, and Presentation Skills
• Technical Resume Structuring and Keyword Optimization for Applicant Tracking Systems (ATS)
• LinkedIn Profile Building and Personal Branding for Data Professionals
• Mock Technical & HR Interview Sessions with Constructive Industry Feedback
• Salary Negotiation Strategies and Business Etiquette Guidelines

Module 10: Artificial Intelligence, Generative AI & Prompt Engineering for Analytics

• Fundamentals of Artificial Intelligence and Generative AI in Modern Analytics
• Prompt Engineering Techniques for Code Generation (SQL, Python, DAX, VBA)
• Leveraging AI Assistants (ChatGPT, Claude, Copilot) for Automated Data Cleaning & Insights
• AI-Driven Automated Dashboard Creation and Insight Summarization
• Ethics, Data Privacy, and Security Governance in AI-Enabled Workflows

Career Opportunities and Corporate Value in 2027

Completing this comprehensive curriculum opens up high-demand career pathways across top MNCs, tech enterprises, financial institutions, and consulting firms. Graduates qualify for key roles including:

• Data Analyst / Senior Data Analyst
• Business Intelligence Specialist / Power BI Consultant
• Analytics Manager / SQL Database Reporting Analyst
• Process Automation Engineer / VBA Developer
• AI-Enabled Data Scientist

Why Choose SLA Consultants India?

• Experienced Faculty: Learn directly from seasoned industry practitioners with over 10+ years of domain expertise.
• Practical Training Approach: Focus on 70% practical lab execution and 30% conceptual foundation.
• Dedicated LMS & Study Material: Access to recorded sessions, sample datasets, code repositories, and study resources.
• Corporate Recognized Certification: Earn a respected credential that validates your technical expertise across corporate recruiters.

Conclusion & Enrollment Information

Transform your career prospects in 2027 by joining the premier Data Analyst Course in Delhi delivered by SLA Consultants India. Gain the multi-tool expertise required to transform complex datasets into actionable business growth strategies.