Executive Summary & Course Overview
In today’s fast-evolving enterprise environment, organizations demand data professionals who can convert raw transactional data into high-impact corporate reporting, interactive visual dashboards, and business intelligence. Choosing an industry-recognized Data Analyst Course in Delhi is the ultimate stepping stone for aspiring professionals, working executives, and fresh graduates aiming for high-growth corporate careers in 2027. SLA Consultants India presents a comprehensive, practice-driven training program designed to equip learners with enterprise-grade analytics tools, automated ETL workflows, predictive modeling, and cutting-edge Generative AI platforms.
Detailed Course Modules & Curriculum Breakdown
Module 1: Basic & Advanced Excel with Business & Financial Analytics
- Advanced Formulae & Functions: VLOOKUP, XLOOKUP, INDEX-MATCH, OFFSET, INDIRECT, and Dynamic Arrays.
- Data Processing & Validation: Data Cleaning, Text-to-Columns, Conditional Formatting, and Error Handling.
- Pivot Tables & Pivot Charts: Calculated Fields, Slicers, Timelines, Data Modeling, and Interactive Summary Dashboards.
- Financial & What-If Analysis: Goal Seek, Data Tables, Scenario Manager, and Business Forecasting Models.
Module 2: Advanced VBA / Macros & Custom Process Automation
- Introduction to VBA Editor: Visual Basic Environment, Modules, Procedures, and Functions.
- Control Structures & Logic: If-Then-Else, Select Case, For Next Loops, Do While Loops, and Error Handling.
- User Forms & Interactive Interfaces: Creating Custom Input Dialogs, Command Buttons, and Event-Driven Automation.
- Automated Reporting Workflows: Macro Recording, Inter-Application Automation with Excel, Access, and Word.
Module 3: SQL Server & MS Access Database Management
- Relational Database Concepts: DBMS vs RDBMS Architecture, Table Structures, Primary Keys, and Foreign Keys.
- SQL Data Manipulation Language (DML): SELECT, INSERT, UPDATE, DELETE, and MERGE Statements.
- Complex Data Retrieval: INNER JOIN, LEFT/RIGHT OUTER JOIN, FULL OUTER JOIN, CROSS JOIN, and Self Joins.
- Advanced Database Objects: Aggregate Functions, GROUP BY, HAVING, Subqueries, CTEs, Stored Procedures, Views, and Indexing.
Module 4: Microsoft Power BI for Enterprise Business Intelligence & Interactive Dashboarding
- Data Connection & Transformation: Power Query Editor, Data Cleansing, M Language Basics, and Schema Transformations.
- Data Modeling & Relationships: Star Schema, Snowflake Schema, Relationship Cardinality, and Cross-Filtering.
- DAX (Data Analysis Expressions): Calculated Columns, Measures, CALCULATE, SUMX, AVERAGEX, Time Intelligence, and Rank Functions.
- Interactive Visualization & Publishing: Custom Visuals, Drill-Down Reports, Key Performance Indicator (KPI) Cards, Power BI Service, Scheduled Refresh, and Workspace Sharing.
Module 5: Tableau Visual Analytics & Corporate Data Storytelling
- Getting Started with Tableau: Connecting to Multiple Data Sources, Live vs Extract Connections.
- Advanced Visualizations: Bar Charts, Line Graphs, Scatter Plots, Dual Axis Charts, Heat Maps, Treemaps, and Bullet Graphs.
- Analytics Features: Calculated Fields, Sets, Groups, Parameters, Reference Lines, Trendlines, and Clustering.
- Interactive Dashboards & Storyboarding: Actions (Filter, Highlight, URL), Container Layouts, Story Points, and Enterprise Distribution.
Module 6: Python Programming for Data Science & Analytics
- Python Fundamentals: Data Types, Variables, Lists, Tuples, Dictionaries, Functions, and Object-Oriented Concepts.
- Data Wrangling with Pandas: DataFrames, Series, File I/O (CSV, Excel, SQL), Missing Data Treatment, and Grouping/Aggregation.
- Numerical Computing with NumPy: Multi-dimensional Arrays, Matrix Operations, and Statistical Computation.
- Exploratory Data Analysis & Visualization: Matplotlib and Seaborn for Bar Charts, Histograms, Box Plots, Pair Plots, and Correlation Heatmaps.
Module 7: Alteryx for Automated Data Preparation & ETL Workflows
- Introduction to Alteryx Designer: Workflow Building Canvas, Tool Categories, and Data Connections.
- Data Prep & Cleaning Tools: Select, Filter, Formula, Sort, Sample, Data Cleansing, and Unique Tools.
- Joining & Blending Data: Join, Union, Append Fields, Find Replace, and Spatial Matching.
- Advanced ETL Automation: Parsing Unstructured Text, Transpose, Cross Tab, Macro Creation, and Automated Reporting Schedules.
Module 8: R Programming for Statistical Analytics & Predictive Modeling
- R Syntax & Environment: RStudio IDE, Data Structures (Vectors, Matrices, Data Frames, Factors).
- Statistical Data Analysis: Descriptive Statistics, Probability Distributions, Hypothesis Testing (t-tests, ANOVA, Chi-Square).
- Predictive Analytics & Machine Learning: Simple & Multiple Linear Regression, Logistic Regression, Time Series Analysis, and Decision Trees.
- Data Visualization with ggplot2: Grammar of Graphics, Aesthetic Mappings, Geoms, Faceting, and Customized Themes.
Module 9: Soft Skills, Technical Resume Optimization & Mock HR Interview Preparation
- Communication & Business Presentation: Client-Facing Communication, Stakeholder Pitching, and Executive Presence.
- Technical Resume & Portfolio Building: GitHub/Kaggle Profile Setup, Project Portfolio Structuring, and LinkedIn Optimization.
- Mock Technical & HR Interviews: Behavioral Interview Strategies, Real-Time Problem Solving, Whiteboard Analytics Challenges, and Salary Negotiation Guidance.
Module 10: Artificial Intelligence, Generative AI & Prompt Engineering for Analytics
- AI Fundamentals for Analysts: Leveraging Large Language Models (LLMs) in Daily Reporting Workflows.
- Advanced Prompt Engineering Techniques: Zero-Shot, Few-Shot, and Chain-of-Thought Prompting for Automated Code Generation (SQL, Python, DAX, VBA).
- AI-Powered Reporting & Insights: Automated Data Interpretation, Instant Executive Summary Generation, Natural Language Querying (NLQ), and Smart Automated Visualizations.
Program Curriculum & Analytics Stack Overview
| Category | Primary Technologies & Tools | Key Practical Outcomes |
|---|---|---|
| Core Data & Automation | Advanced Excel, VBA / Macros, SQL Server | Automated reporting, complex query building, DB management |
| Business Intelligence | Power BI, Tableau, Alteryx | Interactive dashboards, enterprise ETL, visual storytelling |
| Statistical & AI Analytics | Python, R Programming, GenAI Platforms | Predictive modeling, machine learning, AI code generation |
| Career Readiness | Portfolio Development, Interview Labs | Mock HR sessions, polished resume, placement assistance |
Key Program Highlights & Career Advantages
- 100% Practical & Project-Based Learning: Real-time corporate datasets and live industry capstone projects.
- Dual Certification Support: Official SLA Consultants India Certification plus guidance for globally recognized IBM Certifications.
- 100% Dedicated Placement Assistance: Unconditional interview calls and dedicated corporate placement cell setup.
- Flexible Learning Formats: Weekday, Weekend, and Online Live Interactive Batches designed for students and working professionals.
Enrollment & Contact Information
Take the decisive step toward career transformation in 2027 by registering for the top-rated Data Analyst Course in Delhi at SLA Consultants India.
- Organization: SLA Consultants India
- Website: https://www.slaconsultantsindia.com/
- Main Office / Training Center: 82-83, 3rd Floor, Vijay Block, Above Titan Eye Shop, Metro Pillar No. 52, Laxmi Nagar, New Delhi – 110092
