Data Science and AI-Prompt Engineering Course Program

The 7-month online Data Science course is a career-focused program designed to equip aspiring professionals with essential data science skills, hands-on training, and industry-ready knowledge. This comprehensive course offers flexible batch options—weekend and full-week—to suit both students and working professionals, ensuring easy access to high-quality education regardless of schedule. The curriculum emphasizes real-world application through practical projects and case studies, covering key areas such as Python, SQL, statistics, data visualization, machine learning, and business intelligence tools like Power BI and Tableau.

Designed to meet the demands of a rapidly growing job market, this program prepares learners for top data roles including Data Analyst, Business Intelligence Analyst, and Junior Data Scientist. The course also opens pathways to advanced positions such as Machine Learning Engineer and Data Scientist, and eventually senior roles like Lead Data Engineer and Data Science Consultant.

With career opportunities available across high-growth sectors including finance, healthcare, retail, and e-commerce, the course is tailored for those aiming to future-proof their careers in the evolving data landscape. Entry-level graduates can expect salaries ranging from ₹4 to ₹8 LPA, with mid-level roles offering ₹10 to ₹15 LPA, and experienced professionals earning ₹22 to ₹35 LPA. The structured career path and practical training make this course ideal for anyone looking to break into data science or advance in tech. With expert mentorship, placement support, and a focus on job-readiness, this program is one of the most valuable online data science courses available today—making it the perfect starting point for a successful career in analytics, AI, and machine learning.

Core Syllabus

Modules For Data Science and AI-Prompt Engineering

Module 1: Advanced Excel

Data Validation & Drop-down Lists
Conditional Formatting (Advanced Rules)
Advanced Formulas (IF, AND, OR, INDEX, MATCH, etc.)
Nested Formulas
LOOKUP Functions (VLOOKUP, HLOOKUP, XLOOKUP)
Pivot Tables (Advanced Features)
Pivot Charts & Slicers
Data Consolidation Techniques
What-If Analysis (Scenario Manager, Goal Seek, Data Tables)
Array Formulas (Including Dynamic Arrays)
Text Functions (LEFT, RIGHT, MID, LEN, TRIM, TEXTJOIN, etc.)
Date & Time Functions (DATEDIF, EOMONTH, NETWORKDAYS, etc.)
Logical Functions (IFERROR, IFNA, SWITCH)
Financial Functions (PMT, NPV, IRR)
Advanced Charting Techniques (Combo Charts, Waterfall, etc.)
Macros & VBA (Introduction to Automation)
Power Query (ETL in Excel)
Power Pivot (Data Modeling & DAX Basics)
Dashboard Creation (KPI Tracking, Interactive Reports)
Advanced Sorting & Filtering (Custom Lists, Color Filters)
Dynamic Named Ranges (OFFSET, INDIRECT)
Error Handling & Auditing Tools (Trace Precedents/Dependents)
Data Import/Export (CSV, SQL, JSON Connections)
Workbook & Worksheet Protection (Advanced Permissions)
Keyboard Shortcuts for Efficiency (Navigation, Editing, Formulas)

Module 2: Power BI

Intro Power BI
Advanced Data Modeling (Star & Snowflake Schema)
DAX (Data Analysis Expressions) – Advanced Calculations
Measures vs. Calculated Columns – Best Practices
Advanced Relationships & Cardinality Management
Time Intelligence Functions (YTD, QTD, MTD, Previous Period, etc.)
Hierarchies (Date, Geography, Organizational)
Advanced Power Query (M Language Basics, Custom Functions)
Parameterization in Power Query
Dataflows (Reusable ETL Pipelines)
Composite Models (Direct Query + Import Mode)
Row-Level Security (RLS) Implementation
Advanced Visualizations (Decomposition Tree, Waterfall, KPI, Gauge, etc.)
Bookmarks, Tooltips & Drill-Through for Interactive Reports
What-If Parameters for Scenario Analysis
Paginated Reports (Report Builder Integration)
AI Features in Power BI (Insights, Key Influencers, Q&A Visuals)
Power BI Service (Workspaces, Apps, Shared Datasets)
Data Gateway (On-Premises Data Connectivity)
Scheduled Data Refresh & Incremental Refresh
Deployment Pipelines (Dev, Test, Prod Environments)
Custom Visuals from AppSource & R/Python Integration
Performance Optimization Techniques (Model Size, Query Performance)
Power BI REST API Basics (Automation, Embedding)
Integration with Excel, SharePoint, Teams, and Azure
Security, Compliance & Governance in Power BI Ecosystem

Module 3: Tableau

Proficiency in Tableau Desktop for creating dashboards and reports
Experience in building interactive and dynamic visualizations
Knowledge of using charts, maps, tables, filters, and parameters
Connecting Tableau to various data sources (Excel, CSV, SQL databases, cloud data, etc.)
Understanding of data blending and joins in Tableau
Working with live and extract connections
Basic data cleaning and reshaping using Tableau Prep or built-in Tableau features
Handling null values, data types, and aggregations effectively
Creating calculated fields, table calculations, and LOD expressions
Using logical, date, and string functions in Tableau formulas
Designing user-friendly dashboards with effective layout and navigation
Applying visual best practices for data storytelling and clarity
Using actions (filter, highlight, URL) to enhance interactivity
Dashboards Publishment to Tableau Server or Tableau Public
Managing permissions and access controls for shared reports
Setting up scheduled data refreshes
Translating business requirements into visual solutions
Identifying trends, outliers, and patterns in the data

Module 4: SQL

Complex SQL queries, joins, subqueries, and window functions
Stored procedures, triggers, views, and functions
Relational database concepts and normalization
Database management methodologies
Hands-on experience with RDBMS like SQL Server, MySQL, PostgreSQL, or Oracle
Knowledge of data types, indexes, constraints, and transactions
Familiarity with NoSQL databases such as MongoDB
Performance optimization techniques
Query optimization and execution plan analysis
Use of indexes, partitioning, and caching to improve performance
Troubleshooting slow-running queries and identifying bottlenecks
ETL and data integration experience
ETL processes using tools like SSIS, Talend, or custom scripts
Data migration and transformation across systems or formats
Data management and security understanding
Knowledge of data governance, integrity, and privacy standards
Implementing user access controls and role-based permissions
Development and collaboration practices
Version control systems such as Git
Agile/Scrum methodologies and working in cross-functional teams
Technical documentation and data dictionaries
Strong analytical thinking and troubleshooting abilities
Ability to interpret business requirements into technical solutions

Module 5: Python & AI Prompt Engineering

Proficiency in Python for data manipulation and analysis
Understanding data structures: lists, dictionaries, tuples, sets
Clean, reusable code practices
Pandas – advanced data wrangling
NumPy – numerical computations
Matplotlib & Seaborn – visualizations for EDA
Plotly/Altair – interactive visualizations
Handling missing values, date/time data, merging datasets
Descriptive stats, trend detection, and outlier analysis
Using Python with SQL (SQLite, MySQL, PostgreSQL)
Fetching and manipulating database data

What is Prompt Engineering & How LLMs work (GPT, Claude, Gemini)
Tokenization, Temperature, Top-P settings
Zero-shot, One-shot, Few-shot prompting
Instruction-based, Role-based, Chain-of-Thought prompting
Contextual and Prompt Chaining workflows
Effective examples, question framing, and clarity
Creative vs. Factual optimization techniques
Advanced prompting for coding & data analysis
Image generation prompts – MidJourney, DALL·E
Workflow automation, business use, education, ethics
Using tools like Jupyter, Colab, VS Code, Git, and APIs

Training Outcomes

Results That Speak Success

100% Placement Support

Guaranteed job support

To help you land your dream job

Dedicated Mentorship

One-on-one Guidance

One-on-one guidance throughout your Course journey.

24/7 Tool Access

Continuous Learning

Uninterrupted access to tools anytime for practice and learning at your pace.

Course Certification

Get Recognized

Get recognized with a valuable Course certificate.

Career Growth

Boost Your Future

Build a strong career foundation with growth-oriented guidance and opportunities.

Skill Development

Master In-Demand Skills

Learn the most relevant industry skills that make you job-ready and confident.

Upcoming Batches

Launch Your Career Journey

🎯 Batch Capacity Status

12/25 seats filled • Only 13 seats remaining!

Next Batch Starts

August 2nd, 2025

Last date to apply

31st July

Batches Available

Weekends & Full Week

Learning Mode

Online Live Interactive Sessions

Limited Seats Available

Secure your spot with personalized attention and mentorship

Training Benefits

Foundational Concepts

No Pre-Requisities training from basics to advance

Hands-On Projects

Hands-on industry projects to apply skills in real-time environments.

Resume & Portfolio Building

1-1 Support until placements

Job Interview Preparation

Mock interviews, aptitude training & HR round practice.

Industry Tools Training

Work with essential tools relevant to your domain and career path.

Placement Guidance

100% Guaranteed placement support.

Training Program

Industry-Ready Training

Program Duration

28 Weeks intensive training

Expert Mentorship

Live mentor-led interactive sessions

Skill Development Focus

Core Tools, Techniques & Industry-Relevant Skills

Practical Experience

Real time projects and hands on assignments

Career Outcome

Industry-ready, interview-confident, job-ready professional

Upon Successful Completion

Frequently Asked Questions

Get answers to the most common questions about our placement-oriented Course programs. Still have questions? We're here to help!

It's a comprehensive Course program that combines hands-on training with real-world projects and guaranteed job placement support. Our program bridges the gap between academic learning and industry requirements, ensuring you're job-ready upon completion.

Yes! You'll receive an industry-recognized Course Certificate and Experience Letter upon successful completion. These credentials are valued by employers and will strengthen your professional profile significantly.

Our programs typically run for 6 to 8 weeks, depending on the specific course and specialization. This duration is carefully designed to provide comprehensive training while being flexible enough to fit your schedule.

All Courses are conducted online with live interactive sessions, one-on-one mentor support, and collaborative project work. This format allows you to learn from anywhere while maintaining the quality of in-person training.

Our programs are open to final-year students, fresh graduates, and job seekers from any educational background. Whether you're looking to start your career or switch to a new field, we welcome diverse participants.

No prior experience is required! We start from the fundamentals and build up your skills progressively. Our curriculum is designed to be beginner-friendly while also providing value to those looking to upskill.

Our comprehensive placement support includes professional resume building, mock interview sessions, job referrals to our partner companies, and direct connections with hiring managers. We maintain relationships with 500+ companies across various industries.

Launch Your Career

Join thousands of successful graduates who started their journey with us

98% Placement Rate

80+ Hiring companies

150+ Alumni Network

4.9★ Student Rating

Data Science and AI-Prompt Engineering

Accelerate your Career

JOB Opportunties