Course Content

Module 1: MS Excel – Basic

• Introduction to Excel Interface

• Worksheets & Workbooks

• Data Entry, Formatting & Editing

• Basic Formulas & Functions (SUM, AVERAGE, COUNT)

• Sorting & Filtering Data

Module 2: MS Excel – Intermediate

• Conditional Formatting

• Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP)

• Text, Date & Logical Functions

• Data Validation & What-If Analysis

• Pivot Tables & Pivot Charts

Module 3: MS Excel – Advanced

• Advanced Formulas & Nested Functions

• Dynamic Arrays & Advanced Lookup

• Power Query in Excel

• Macros & VBA Basics

• Dashboards in Excel

Module 4: Power BI – Getting Started

• Introduction to Power BI & Interface

• Importing Data from Multiple Sources

• Data Cleaning & Shaping with Power Query

• Data Modeling & Relationships

Module 5: Power BI – Visualization

• Creating Charts, Tables & Cards

• Using Filters, Slicers & Drill-Downs

• Custom Visuals & Marketplace

• Dashboard Design Best Practices

Module 6: Power BI – Advanced

• Introduction to DAX (Data Analysis Expressions)

• Calculated Columns & Measures

• Time Intelligence Functions

• Report Generation & Publishing to Power BI Service

• Collaboration & Sharing

Module 7: Real-Time Project

• End-to-End Dashboard Project (Excel + Power BI)

• Data Cleaning → Modeling → Visualization → Report

• Case Study: Sales/HR/Finance Dashboard

• Certification & Interview Preparation

1. Introduction to Data Analytics

• Importance of data analytics in business

• Overview of Excel, Power BI, and Python for analytics

• Career opportunities in AI and data analytics

2. Excel for Data Analytics

• Advanced Excel functions and formulas

• Data cleaning and preparation

• Pivot tables and charts

• Conditional formatting and dashboards

3. Power BI for Data Visualization

• Introduction to Power BI interface

• Creating interactive reports and dashboards

• Data modeling and relationships

• Connecting Excel and Power BI

4. Python for Data Analytics

• Python basics for data manipulation

• Libraries: Pandas, NumPy, Matplotlib, Seaborn

• Data analysis and visualization projects

• Automating data workflows with Python

5. AI & Data Analytics Applications

• Introduction to AI and machine learning concepts

• Practical data analytics projects

• Predictive analysis using Python

• Real-world business scenarios

6. Hands-on Projects

• Data cleaning and analysis projects

• Interactive dashboards in Power BI

• Python data analytics mini-projects

7. Career Guidance & Next Steps

• Resume and portfolio preparation for data analytics roles

• Interview tips for analytics positions

• Roadmap to advanced analytics and AI

Module 1: Introduction to Interview Communication

• Importance of English in job interviews

• Common challenges faced by candidates

• Setting goals for interview preparation

Module 2: Spoken English Fundamentals

• Grammar essentials for interview conversations

• Vocabulary building for professional contexts

• Pronunciation and accent clarity

Module 3: Self-Introduction & Personal Background

• Crafting a strong self-introduction

• Describing academic and professional background

• Explaining career goals effectively

Module 4: Answering HR Questions

• Common HR interview questions and sample answers

• Talking about strengths, weaknesses, and achievements

• Handling situational and behavioral questions

Module 5: Technical & Role-Specific Communication

• Expressing technical knowledge in simple English

• Explaining projects and work experience confidently

• Using structured responses (STAR method)

Module 6: Group Discussions & Mock Interviews

• Strategies to excel in group discussions

• Speaking with clarity and confidence

• Real-time mock interview practice with feedback

Module 7: Corporate Communication & Etiquette

• Polite expressions and formal communication

• Do’s and Don’ts in professional English

• Non-verbal communication: tone, body language, gestures

Module 8: Final Preparation & Career Guidance

• Resume discussion in English

• Last-minute speaking tips before interviews

• Confidence-building and overcoming nervousness

🚀 Course Overview

This course helps you master Spoken English to confidently attend job interviews. You’ll learn common interview phrases, effective communication techniques, and confidence-building strategies, so you can make a strong impression and secure your dream job.

📚 Course Content

Module 1: Introduction to Spoken English for Interviews

• Importance of English in job interviews

• Common challenges faced by learners

• Mindset & confidence building

Module 2: Basics of English Communication

• Grammar essentials for speaking

• Common vocabulary and phrases

• Pronunciation tips & exercises

• Speaking clearly and confidently

Module 3: Understanding the Interview Process

• Types of interviews: HR, Technical, Telephonic, Video

• Common interview formats & questions

• How to introduce yourself effectively

• Mini Practice: Self-introduction exercise

Module 4: Answering Common Interview Questions

• HR questions (strengths, weaknesses, career goals)

• Behavioral questions (STAR method)

• Situational questions

• Role-play exercises & examples

Module 5: Industry-Specific Vocabulary

• English phrases for corporate, IT, and customer service roles

• Technical vocabulary basics for non-native speakers

• Practice exercises with sample dialogues

Module 6: Handling Difficult Questions

• Answering unexpected questions confidently

• Dealing with language barriers

• Polite ways to ask for clarification

• Practice exercise: Mock Q&A sessions

Module 7: Telephonic & Video Interview Skills

• Speaking clearly over phone & online

• Body language & tone for video calls

• Common mistakes to avoid

• Mini Project: Record a mock video interview

Module 8: Building Confidence & Fluency

• Techniques to reduce nervousness

• Daily practice routines

• Speaking exercises & role-plays

• Tips for continuous improvement