Jaipur
Jodhpur
Join India’s most hands-on Data Science & AI Mentorship Program, where you work on real datasets, build ML models, deploy AI applications, and fast-track your career in Data Science, ML, and AI in just 28 weeks.
1.5 Lakh+
350+
40+A World-Class Learning Experience in Jaipur
Learn by working with real datasets, building ML models, deploying AI apps, and creating workflows used in data teams.
Learn directly from practitioners who build ML models, deploy AI systems, and design real-world pipelines.
Experience mentor-led labs where you build your milestone projects inside the session with complete guided support.
Your career journey gets full-stack support for breaking into Data Science, ML Engineering, AI Engineering, and Analytics roles.
Our alumni now drive campaigns, manage brands, and lead growth in top agencies, startups, and global companies, with massive jumps in skills, salaries, and success.
Designed with insights from industry hiring managers & AI-driven industry demands.
Seven
Program Duration
Offline
144+ hrs
10+
Placement SupportBuild strong programming and database fundamentals through Python, pandas, and SQL. Learn how to clean, query, transform, and prepare real datasets like a true data professional.
Project:
Analyze real hospital admissions & discharge data to uncover operational bottlenecks.Write SQL queries to track wait times, readmission rates, bed utilization & patient flow efficiency.
Case Study
Build a Python-based tool to analyze customer purchase behaviour using CSV/Excel datasets, extracting insights with pandas.
Write advanced SQL queries with joins & aggregations to uncover operational insights for Swiggy’s delivery workflows.
Master the art of cleaning messy data, exploring patterns, and extracting insights. Use Python visualizations and BI dashboards to tell compelling data stories.
Project:
Build a business-grade hotel performance dashboard with KPIs like RevPAR, occupancy & cancellation metrics. Add interactive slicers for hotel category, city, channels & segments for executive decision-making.
Case Study
Work with raw operational data to improve quality checks, detect anomalies and design reliable features for downstream ML.
Learn the core statistical thinking behind real-world ML problems. Build, evaluate, and refine regression and classification models used across industries.
Project:
Case Study
Conduct an A/B test to evaluate a new homepage design using real statistical methods & conversion insights.
Build a churn prediction model using customer & order data to help Swiggy retain users effectively.
Level up with ensemble methods, clustering, PCA, and text-intelligence foundations. Choose between NLP or Deep Learning to build more advanced AI-driven systems.
Project:
Design a hybrid recommender system + time-series forecasting pipeline for trending content. Use watch history, ratings & temporal data to suggest shows & predict future view counts.
As a data scientist for Mercado Livre, a leading Brazilian e‑commerce marketplace, refine a model that predicts whether an order will arrive late using the Brazilian e‑commerce dataset
Case Study
Use ensemble algorithms to predict the probability of returns and reduce logistics & delivery costs for Myntra.
Build an NLP/DL-based model to classify hotel reviews as positive or negative to enhance customer experience.
Evaluate a loan approval ML system for fairness, bias & model transparency - essential for responsible AI.
Go beyond modeling by learning how real companies manage pipelines, warehouses & scalable systems. Deploy ML models as APIs and understand how production workflows operate.
Project:
Case Study
Design a scalable warehouse architecture for bookings, stays, host behavior & guest analytics using modern data modeling.
Build interactive data applications, add monitoring layers, and understand responsible AI. Work with LLMs, RAG, prompt engineering & GenAI fundamentals to stay future-ready.
Project:
Case Study
Build AI-driven guest experience enhancements for a global hospitality brand using advanced data workflows.
Audit healthcare ML systems for fairness, transparency & privacy to ensure responsible AI adoption.
A capstone project where learners solve a real business problem using data, analytics, and selective AI assistance. You will work on an end-to-end data science use case, from understanding the problem to analyzing data, building models, and generating insights that support business decisions. AI tools may be used to assist analysis, improve efficiency, and enhance insights, similar to how data teams work in modern organizations.
Your final sprint to a high-performing marketing career.
Your final sprint to a high-performing marketing career.
Build your personal brand and professional identity.
Master the art of storytelling to confidently crack HR interviews.
Get ready for technical rounds with real-world challenges.
Build your personal brand and professional identity.
Craft impactful, job-ready resumes.
Showcase your projects and data stories effectively.
Present real work with structured repositories.
Optimize your profile for recruiter visibility.
Master the art of storytelling to confidently crack HR interviews.
Present your analytics projects with clarity, context, and impact.
Learn how to align your pitch with what top recruiters look for.
Build authentic and structured responses for behavioral rounds.
Develop speaking and body language skills for interviews.
Get ready for technical rounds with real-world challenges.
Problem-solving with SQL, Excel, Python, and BI-based questions.
Tackle assignments and case study–specific data problems.
Practice structured thinking and data storytelling on the spot.
Crack analytical estimation and business reasoning confidently.
Build your personal brand and professional identity.
Craft impactful, job-ready resumes.
Showcase your projects and data stories effectively.
Present real work with structured repositories.
Optimize your profile for recruiter visibility.
Master the art of storytelling to confidently crack HR interviews.
Present your analytics projects with clarity, context, and impact.
Learn how to align your pitch with what top recruiters look for.
Build authentic and structured responses for behavioral rounds.
Develop speaking and body language skills for interviews.
Get ready for technical rounds with real-world challenges.
Problem-solving with SQL, Excel, Python, and BI-based questions.
Tackle assignments and case study–specific data problems.
Practice structured thinking and data storytelling on the spot.
Crack analytical estimation and business reasoning confidently.
Prove your skills, boost credibility, and get one step closer to your dream role.
A badge trusted by top companies.
Turn your profile into a recruiter magnet.
Step into better roles and higher salaries.
A badge trusted by top companies.
Turn your profile into a recruiter magnet.
Step into better roles and higher salaries.
A Real Campus Experience in Jaipur, Not Just a Classroom Program
Learn real industry use cases and instantly apply every concept with short, focused assignments inside the classroom, guided step-by-step by expert mentors.
Case Studies
Data Challenges
Turn every concept into execution, just like in real data teams.
Every milestone ends with a complete, portfolio-ready Data Science or AI project that proves your practical expertise.
Portfolio Projects
Public Portfolio
You won't need to say you're an AI marketer; your WORK will prove it.
Get hands-on with tools used for data cleaning, analysis, modeling, pipelines, deployment, and LLM workflows used by Data Scientists and ML Engineers to build real systems.
Data & AI Tools
Job-Relevant Stack
No outdated slides, just real, applied Data Science & AI in action.
Build a full-scale Data Science & AI system and present it live in an online Demo Day to mentors & peers.
Because the best Data Scientists are made by doing, not just learning.
Never get stuck, connect instantly with mentors and like-minded Data Science learners. Build accountability circles, share campaign feedback, and grow together.
WsCube Learners Community
Live Mentor Access
You’re never learning alone; you’re growing in a tribe.
Face 1:1 mock interviews, ML problem-solving rounds, and project simulations designed exactly like real hiring at top tech, fintech, and AI companies. Get actionable feedback from experts who’ve actually hired Data Scientists & ML Engineers.
HR Round
Technical Round
Walk into interviews with clarity, strategy, and confidence.
Graduate with pride in a virtual ceremony, present your campaigns, receive your certification, and network with recruiters and mentors.
Top Performer Showcase
WsCube Tech Certification
You don’t just complete the program; you get celebrated and noticed.
Thousands of people love pro digital marketer with Wscube Tech
Aspiring Data Analyst | Python | Sql | Excel | VBA | PowerBi | SQL Hackkerank 5 ⭐| Python 3⭐
Coffee Shop Sales Analysis – Excel & Power Query
Proud to share my latest data analytics project where I built an interactive, fully automated sales dashboard for a multi-location coffee shop using Microsoft Excel and Power Query.
📊 Key Highlights:
Automated 100% of data cleaning using Power Query – eliminating manual effort
Built dynamic dashboards with slicers, pivot charts, and KPIs
Identified peak hours (7–9 AM) and busiest days (Mon–Fri) for staffing optimization
Revealed that 45%+ revenue came from just 5 products
Discovered top product category generated 39% of total revenue
Analyzed location-wise performance – Astoria branch had highest footfall
Calculated average revenue per customer: ₹4.68
Uncovered seasonal sales patterns through monthly trend analysis
🛠 Tools Used:
Power Query | Excel | Pivot Tables | Slicers | KPI Cards
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Student at IGNOU | DEO | Power BI | Excel | MS Office | Python
Hello LinkedIn Community, I am very excited to share a new project on a FNP COMPANY sales Analysis using Excel given byWsCube Tech. From analyzing revenue across occasions, categories, hours, and cities, to tracking monthly trends and delivery times – this dashboard brings all key metrics into one clear picture. It's helping us make smarter, faster decisions. completed a comprehensive Sales Analysis Dashboard for our recent sales performance at FNP – and the insights are both exciting and actionable!
From analyzing revenue across occasions, categories, hours, and cities, to tracking monthly trends and delivery times – this dashboard brings all key metrics into one clear picture. It's helping us make smarter, faster decisions.
💬 Would love to hear how you visualize and interpret sales data in your organization!
Aspiring Data Analyst | SQL, Advanced Excel, Power BI and Python (Pandas, Numpy, Seaborn, Matplotlib) proficient | Data Analytics Mentee @WsCube Tech | Ex-Angular Developer at Lynkersoft
Excited to Announce a Milestone in My Data Journey! 🎯
I’m thrilled to share that I’ve successfully completed the Data Analytics Mentorship Program byWsCube Tech— a intensive learning experience that has truly sharpened my skills and boosted my confidence as a Data Analyst.
Through this program, I worked on real-world projects, tackled business problems, and gained hands-on expertise with industry-standard tools and techniques like:
✔️ Excel (Advanced Functions, Dashboards)
✔️ SQL (Complex Queries, Joins, Window Functions)
✔️ Power BI & Tableau (Interactive Dashboards, KPI Tracking)
✔️ Python (EDA, Automation, Forecasting)
✔️ Machine Learning Basics (Supervised Models)
💬 A special thanks to the mentors and theWsCube Techcommunity for their support and guidance.
This achievement marks a stepping stone in my journey to turn raw data into strategic insights
📌 I’m open to data-driven collaborations and opportunities where I can contribute meaningfully. Let’s connect!
Data Analyst skilled in MySQL, Power BI, Python, Tableau & Excel. Passionate about turning data into insights to solve real-world business problems in on-site or remote roles.
📢 Thrilled to Share a Major Milestone in My Data Journey! 🚀
I’m excited to announce that I’ve successfully completed the Data Analytics Mentorship Program by WsCube Tech — an immersive experience that empowered me with real-world problem-solving skills and solidified my foundation in data analytics.
📅 Duration: Nov 2024 – Apr 2025
🏅 Grade: A
Throughout the program, I worked on multiple industry-relevant projects, deep-dived into analytical tools, and built end-to-end data solutions.
🔧 Key Skills & Tools Gained:
✔️ Excel – Advanced formulas, pivot tables, dashboards
✔️ SQL – Joins, subqueries, window functions, data cleaning
✔️ Power BI & Tableau – Interactive dashboards, KPI tracking
✔️ Python – EDA, automation, forecasting, visualization
✔️ Machine Learning (Basics) – Supervised models, data preprocessing
💬 Huge thanks to the mentors and theWsCube TechTech community for their guidance, support, and feedback throughout this journey.
🎯 This certification isn’t just a badge — it reflects my passion for data, commitment to learning, and ability to turn insights into action.
📌 I'm now looking forward to new opportunities where I can contribute as a Data Analyst. Open to collaborations, freelance work, or full-time roles — let’s connect and create impact with data!
Aspiring Data Analyst | Python | Sql | Excel | VBA | PowerBi | SQL Hackkerank 5 ⭐| Python 3⭐
Coffee Shop Sales Analysis – Excel & Power Query
Proud to share my latest data analytics project where I built an interactive, fully automated sales dashboard for a multi-location coffee shop using Microsoft Excel and Power Query.
📊 Key Highlights:
Automated 100% of data cleaning using Power Query – eliminating manual effort
Built dynamic dashboards with slicers, pivot charts, and KPIs
Identified peak hours (7–9 AM) and busiest days (Mon–Fri) for staffing optimization
Revealed that 45%+ revenue came from just 5 products
Discovered top product category generated 39% of total revenue
Analyzed location-wise performance – Astoria branch had highest footfall
Calculated average revenue per customer: ₹4.68
Uncovered seasonal sales patterns through monthly trend analysis
🛠 Tools Used:
Power Query | Excel | Pivot Tables | Slicers | KPI Cards
Student at IGNOU | DEO | Power BI | Excel | MS Office | Python
Hello LinkedIn Community, I am very excited to share a new project on a FNP COMPANY sales Analysis using Excel given byWsCube Tech. From analyzing revenue across occasions, categories, hours, and cities, to tracking monthly trends and delivery times – this dashboard brings all key metrics into one clear picture. It's helping us make smarter, faster decisions. completed a comprehensive Sales Analysis Dashboard for our recent sales performance at FNP – and the insights are both exciting and actionable!
From analyzing revenue across occasions, categories, hours, and cities, to tracking monthly trends and delivery times – this dashboard brings all key metrics into one clear picture. It's helping us make smarter, faster decisions.
💬 Would love to hear how you visualize and interpret sales data in your organization!
