Data Analyst Course
A comprehensive, industry-aligned training program covering Advanced Excel, SQL databases, Power BI dashboards, and Python data manipulation. Learn through practical business datasets and graduate with a production-grade portfolio. Available live online across India and in-person in Gurugram.
We also offer the Data Analyst with AI Course, featuring ChatGPT for SQL query optimization, Microsoft Copilot for DAX, and automated Python EDA workflows.
Practical Learning Value Designed for Analytics Roles
Every topic is chosen because it is actively used in real business reporting, database querying, and executive decision-making.
Relational SQL Fluency
Learn multi-table relational joins, CTEs, window functions (ROW_NUMBER, DENSE_RANK, LAG, LEAD), and subqueries on transactional schemas.
Power BI DAX & Star Schemas
Author executive dashboards from scratch. Build star schemas, write calculated DAX measures, and configure time-intelligence reporting.
Programmatic Data Analysis
Utilize Python, Pandas, and NumPy for exploratory data analysis (EDA), handling missing values, and automating reporting workflows.
Verifiable Capstones
Build public GitHub query repositories and interactive Power BI portfolio artifacts demonstrating commercial problem-solving.
Tools Taught in the Data Analyst Program
We focus on the tools actively demanded by analytics employers. Explore individual skill syllabi below.
Advanced Excel
Microsoft Excel remains the ubiquitous engine of enterprise calculations, dynamic financial modeling, and operational monitoring.
- • XLOOKUP, INDEX & MATCH for relational data retrieval
- • Nested conditionals: IFS, SUMIFS, COUNTIFS, AVERAGEIFS
- • Dynamic Pivot Tables, calculated fields, and Slicers
SQL (Structured Query Language)
SQL is the industry-standard language used by analysts and engineers to extract, filter, join, and summarize billions of data points stored in enterprise databases.
- • Data filtering, sorting, and pattern matching (WHERE, LIKE, BETWEEN)
- • Multi-table relational joins (INNER, LEFT, RIGHT, FULL OUTER)
- • Aggregation & grouping (GROUP BY, HAVING, COUNT, SUM, AVG)
Power BI
Microsoft Power BI transforms raw tables and databases into automated, interactive visuals and drill-through KPI dashboards.
- • Power Query data extraction, transformation, and normalization
- • Star schema data modeling and relationship active/inactive states
- • DAX expressions: Measures, Calculated Columns, CALCULATE, Time Intelligence
Python for Data Analysis
Python is the leading programming language for data analytics, scientific computation, and exploratory machine learning.
- • Core Python data structures: lists, dictionaries, sets, and tuples
- • NumPy array vectorization and numerical operations
- • Pandas DataFrames: data manipulation, cleaning, filtering, and merging
Statistics for Data Analysis
Statistics provides the scientific rigor required to separate genuine business trends from random noise, validate sample sizes, and evaluate risk.
- • Descriptive statistics: Mean, Median, Mode, Variance, and Standard Deviation
- • Probability distributions: Normal distribution, skewness, and outliers
- • Correlation vs causation and regression analysis basics
All Software & Libraries Covered in Practical Sessions
Complete Course Curriculum
140+ hours of structured, instructor-led lessons and practical hands-on laboratories. Structured from fundamentals to advanced analytics.
Topics & Practical Hands-on Labs
- ✓Spreadsheet structure & formula auditing
- ✓Lookup functions: XLOOKUP, INDEX & MATCH
- ✓Logical and conditional functions: IFS, COUNTIFS, SUMIFS
- ✓Pivot Tables, Slicers, and Timelines
- ✓Data validation, conditional formatting & automated reporting
Expected Learning Outcomes
By the conclusion of this 16-week program, learners will possess verifiable practical capability in these core analytical workflows.
Build robust relational queries, subqueries, and window functions using SQL
Transform messy transactional records using Power Query and Python
Design interactive Power BI executive dashboards with DAX measures
Extract insights, evaluate business metrics, and present data-backed narratives
Publish a 4-project analytics portfolio to GitHub with query documentation and live dashboards.
Communicate data stories, present findings, and defend analytical assumptions with confidence.
Portfolio Projects You Will Build
Employers hire analysts who can demonstrate real problem-solving on unstructured data. Every learner completes these verified practice portfolio case studies.
E-Commerce Sales Performance & Customer Cohort Analysis
End-to-end analytical project analyzing multi-channel transactional records, calculating customer lifetime value, and identifying revenue bottlenecks.
Telecom Customer Churn & Retention Analytics
Statistical exploration and dashboard modeling predicting customer churn probability and evaluating contract risk factors.
Corporate Financial Performance & Budget Variance Tracker
Financial analytics dashboard evaluating revenue targets, operating expenses, and departmental budget variances.
Who Can Join & Eligibility Criteria
Transparent guidance on academic prerequisites and background criteria.
Who Can Join This Program?
- ✓Freshers and entry-level aspirants aiming for Junior Data Analyst roles
- ✓Operations, sales, and finance professionals wanting to automate reporting
- ✓Professionals with career breaks looking for high-demand digital skills
Eligibility Criteria
- ✓Graduates and final-year students from any discipline (B.Tech, BCA, B.Sc, B.Com, BBA, BA)
- ✓Working professionals seeking to transition into analytics roles
- ✓No prior programming background required; starts from core foundations
Prerequisites FAQ
Two Learning Formats. One Curriculum.
Choose the delivery mechanism that aligns with your geographic location and schedule.
Live Online Training
Interactive, instructor-led video classes with screen-sharing, live query resolution, and revision recordings accessible anywhere in India.
- ✓Attend from any city or state across India
- ✓Flexible weekend and evening batch options
- ✓Full recordings and cloud Git repositories provided
Classroom Training in Gurugram
Dedicated in-person classroom training with direct faculty mentorship, desk assistance, and peer study groups at our Gurugram center.
- ✓Direct face-to-face mentorship and in-class debugging
- ✓Collaborative physical lab environment & peer discussions
- ✓Convenient for Gurugram, DLF Cyber City & NCR commuters
Career Trajectory & Analytics Opportunities
This curriculum qualifies learners for analytical responsibilities across diverse departments.
Junior Data Analyst
Reporting & Exploratory Analytics
BI Analyst
Power BI Dashboards & DAX
SQL Reporting Analyst
Database Queries & Ingestion
Operations Analyst
Metrics, Variance & Automation
Frequently Asked Questions
Transparent information about our Data Analyst curriculum, scheduling, and learning support.
The course covers the four essential analytical toolsets: Advanced Excel for financial and operational modeling, SQL for relational database querying and window functions, Power BI for data modeling and executive dashboards, and Python for exploratory data analysis with Pandas and NumPy. You also build four comprehensive capstone portfolio projects.
Attend a Live Demo Session
Evaluate our curriculum, observe practical SQL and Power BI workflows, and speak with a senior instructor to map out your analytics journey.
- ✓Live demonstration of SQL query building and dashboard authoring
- ✓Complete curriculum overview and project milestone reviews
- ✓1-on-1 discussion regarding Online vs Gurugram formats