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Freshers and recent graduates aspiring to start a career in data analytics
HR, Finance, and Operations professionals seeking to enhance data analytics skills
Carrer Switchers
Freshers and recent graduates aspiring to start a career in data analytics
HR, Finance, and Operations professionals seeking to enhance data analytics skills
Carrer Switchers
Learning Objectives:
Topics:
1.1 Introduction to Data Analytics
1.2 Types of Data Analytics
1.3 Data and Information
1.4 Analytics Workflow (OSEMN Framework)
1.5 Business Context
1.6 Tools Overview
Hands-on Activities:
Learning Objectives:
Topics:
2.1 Excel Fundamentals for Analytics
2.2 Advanced Excel Functions
2.3 Data Cleaning and Preparation
2.4 Pivot Tables and Analysis
2.5 Statistical Analysis in Excel
2.6 Data Visualization
2.7 Advanced Analytics
2.8 Automation and Macros
Hands-on Activities:
Mini-Projects:
Project 2A: Sales Performance Analysis
Project 2B: Customer Segmentation Dashboard
Project 2C: Financial Analysis Report
Create executive dashboard
Learning Objectives:
Topics:
3.1 Descriptive Statistics
3.2 Probability Theory
3.3 Probability Distributions
3.4 Sampling and Estimation
3.5 Hypothesis Testing
3.6 Correlation and Regression
3.7 Time Series Analysis
3.8 Statistical Thinking
Hands-on Activities:
Mini-Projects:
Project 3A: A/B Test Analysis
Project 3B: Survey Data Analysis
Project 3C: Forecasting Model
Learning Objectives:
Topics:
4.1 Database Fundamentals
4.2 SQL Basics
4.3 Data Manipulation
4.4 Advanced SELECT Queries
4.5 Joins and Multiple Tables
4.6 Subqueries and Advanced Queries
4.7 Window Functions
4.8 Data Analysis with SQL
4.9 Performance Optimization
4.10 Database-Specific Features
Hands-on Activities:
Mini-Projects:
Project 4A: Customer Analysis Database
Project 4B: Revenue and Sales Analysis
Project 4C: Data Integration and Reporting
Optimize query performance
Learning Objectives:
Topics:
5.1 Python Fundamentals
5.2 Python Control Flow
5.3 Python Functions and Modules
5.4 Data Structures
5.5 File I/O and Data Import
5.6 NumPy for Numerical Computing
5.7 Pandas for Data Manipulation
5.8 Exploratory Data Analysis (EDA)
5.9 Data Visualization with Python
5.10 Regular Expressions
Hands-on Activities:
Mini-Projects:
Project 5A: Customer Churn Analysis
Project 5B: Sales Data Processing
Project 5C: Data Quality Assessment
Learning Objectives:
Topics:
6.1 Tableau Fundamentals
6.2 Building Visualizations
6.3 Advanced Charting
6.4 Interactivity and Filters
6.5 Aggregation and Calculations
6.6 Dashboard Design
6.7 Data Storytelling with Tableau
6.8 Performance and Optimization
6.9 Publishing and Sharing
Hands-on Activities:
Mini-Projects:
Project 6A: Sales Performance Dashboard
Project 6B: Marketing Analytics Dashboard
Project 6C: Executive Business Dashboard
Learning Objectives:
Topics:
7.1 Power BI Fundamentals
7.2 Data Preparation in Power Query
7.3 Data Modeling
7.4 DAX (Data Analysis Expressions)
7.5 Creating Visualizations
7.6 Report Design and Formatting
7.7 Interactivity and Drill-through
7.8 Dashboard Development
7.9 Performance Optimization
7.10 Publishing and Collaboration
Hands-on Activities:
Mini-Projects:
Project 7A: Financial Analytics Report
Project 7B: Operational Analytics Solution
Project 7C: Marketing Intelligence Dashboard
Learning Objectives:
Topics:
8.1 Problem Definition and Data Exploration
8.2 Data Analysis Process
8.3 Creating Insights and Recommendations
8.4 Visualization and Presentation
8.5 Documentation and Portfolio
Capstone Project Options:
Project 8A: E-Commerce Analytics
Project 8B: Financial Performance Analysis
Project 8C: Marketing Campaign Analysis
Project 8D: Operational Metrics Analysis
✅ Resume Fundamentals - ATS systems, formatting, structure
✅ Professional Summary - Entry, mid, and senior-level examples
✅ Technical Skills - Organized by category (SQL, Python, BI Tools, etc.)
✅ Quantifying Achievements - Achievement template with 6 real examples
✅ ATS-Friendly Formatting - What to do and what to avoid
✅ Tailoring to Job Descriptions - How to match keywords and requirements
✅ Experience Section - Professional templates with quantified results
✅ Education & Certifications - Why they matter and how to present
✅ LinkedIn Optimization - Profile tips and best practices
✅ Common Mistakes - 10 mistakes to avoid
✅ Resume Checklist - 12-point pre-submission checklist
✅ Sample Resume Template - Complete entry-level example
✅ Interview Process Overview - 6 stages from screening to offer
✅ STAR Method Mastery - Complete framework with 5 full behavioral examples
✅ Story Bank Creation - 8 themes to prepare stories for
✅ Common Behavioral Questions - 5 detailed STAR responses
✅ Technical Questions & Answers - 4 common questions with complete explanations
✅ Case Study Framework - 5-step approach with example response
✅ Different Interview Formats - Live technical, take-home, case study, panel
✅ Common Mistakes - 6 mistakes to avoid in technical interviews
✅ Questions to Ask Interviewers - 15+ thoughtful questions by category
✅ Interview Day Checklist - Before, during, and after interview checklists
✅ Handling Difficult Questions - 3 tough questions with good responses
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
A Data Analyst collects, processes, and analyzes data to help organizations make informed business decisions. They use tools like Excel, SQL, Python, and BI platforms to uncover insights, trends, and patterns in data that drive strategic business decisions.
No! This course is beginner-friendly. We start from basics and gradually progress to advanced concepts. Basic computer knowledge is sufficient. No prior programming or data analytics experience is required to enroll.
Yes! The course includes career guidance, resume optimization, mock interviews, portfolio review, and job placement support to help you secure positions with leading IT companies and startups.
You will learn industry-standard tools including Microsoft Excel (advanced formulas, pivot tables, data visualization), SQL (MySQL, PostgreSQL, database design), Python (Pandas, NumPy, Matplotlib), Power BI, Tableau, and statistical analysis tools. All tools used are widely used in the industry.
The course is 5 months long with 130 days total duration. It includes 70 live classes and 370 total hours of learning content. You can access recorded sessions anytime after live class completion, making it flexible for working professionals.
No, this course is designed for beginners. No prior programming or Excel experience required.
Yes, you get 1 year access to all video lectures, labs, resources, and updates
We provide job placement assistance and connect you with hiring partners, but placement depends on performance and market conditions.
Yes, top performers get internship opportunities with partner companies.
Yes, our flexible evening and weekend batches are designed for working professionals.
Both are taught in the course. Your employer's preference may guide focus, but learning both increases opportunities.
Yes, we cover basics of cloud databases with AWS and Azure SQL examples.
Senior Full Stack Developer with 10+ years of extensive experience in designing, developing, and deploying scalable web applications across modern tech stacks. Skilled in leading projects, mentoring teams, and delivering high-quality solutions.
