AI Powered
₹8 LPA
34000+
7+Take a closer look at Mentors who've been there and done that!
Analytics Lead
Data & Applied Scientist
Sr. Data Analyst
Data Analyst Trainer
Lead Data Analyst
Explore what this mentorship program is powered with.
Dive deep into the exciting realm of Data Analytics with top Data Analysts from Amazon, KPMG, Microsoft & various leading MNCs. These sessions offer a unique blend of fun and functional learning, ensuring you grasp complex data concepts in an engaging environment.
Drop into our jam sessions where creativity explodes and learning turns lit. It’s all about working on real-world datasets while building domain knowledge.
Test your data analytics skills in our Mega Capstone Challenge, where theory and practice collide. This rigorous challenge requires you to solve actual industry problems, applying everything you've learned in a practical, impactful way.
Perfect for the busy learner, our on-the-go data capsules let you enhance your data skills at your pace, anywhere. These compact video tutorials enable continuous learning without disrupting your schedule.
Our programs are custom-tailored for Gen-Z career aspirants. The programs aim to equip the learners with industry-ready, hands-on skills and facilitate a confident career kick-off. Focusing on practical learning and real-world application, our programs are designed to transform individuals into skilled professionals ready to tackle industry challenges.
A detailed overview of the course, including key topics, objectives, and module sequence.
Duration
Mode
Live Sessions
Projects
Placement SupportKickstart your Data Analytics journey with Excel! From pivot tables to essential functions and from charts to dashboards learn every essential to become a Data Analyst. Excel isn't just a tool, it's your new superpower!
As an data analyst at a McDonald, you have been tasked with Excel proficiency, develop a comprehensive dashboard. Analyze sales data to optimize staff management, identify peak days, busy hours, best selling dishes, and popular cuisines.
In this session, you'll master Excel for data analytics interviews. Learn insider tips on using Excel effectively, tackling real world scenarios, and impressing interviewers with your data manipulation skills.
Want to retrieve, clean, manipulate and analyse the data?? Do it efficiently by using SQL queries!! This milestone covers everything from basic queries to complex joins, empowering you to extract valuable insights from large datasets with ease.
Swiggy seeks insights from its SQL dataset. Implement sophisticated SQL queries with intricate joins for in-depth analysis and strategic decision-making.
SQL is the backbone of data analysis. Get ready to deep dive into complex queries, optimize your understanding of database management, and leave with pro tips to stand out in SQL-based interview questions.
Empower your data journey with Python! Learn Pandas, NumPy, and Matplotlib to wield the tools of data magic. Uncover insights, visualize trends, and conquer complex datasets with flair!
ITC aims to develop a Power BI dashboard to analyze hotel booking data across metro cities. Determine occupancy rates, average revenue per room, and RevPAR to optimize revenue strategies.
Visual storytelling is crucial for any data analyst. In this jam session, discover how to leverage Power BI to create impactful reports, turn data into insights, and gain a competitive edge in interviews.
Master Python for Data Analytics! From data manipulation with Pandas to visualization with Matplotlib & Seaborn, and numerical computing with NumPy, this milestone will equip you with essential coding skills to alyze, transform, and visualize data efficiently.
Amazon seeks to analyze customer sentiments. As a data analyst, you're tasked with performing sentiment analysis and EDA on their data to gauge customer sentiments effectively.
Elevate your understanding of statistics and Python for data analysis interviews. From hypothesis testing to coding challenges, this session will prepare you to demonstrate your statistical and programming expertise.
Build a strong foundation in Statistics & Machine Learning! Learn probability, hypothesis testing, and inferential statistics, then advance to regression, classification, clustering, and AI-driven insights. Gain hands on experience applying ML algorithms to real world datasets and making data driven decisions!
You are a data analyst at HDFC tasked with developing a credit card fraud detection system using machine learning to enhance transaction security and prevent fraudulent activities.
Ready to dive into the future of data analytics? In this jam session, you'll explore machine learning and AI applications, and gain tips on how to shine in interviews by showcasing your ability to implement these cutting-edge technologies.
Comprehensive Career Support to Help You Shine
Upgrade and polish resumes to make them stand out to potential employers.
Optimize LinkedIn profiles to improve visibility and networking opportunities.
Enhance GitHub profiles to showcase your projects and collaboration skills.
Develop & refine a professional portfolio to demonstrate skills & projects.
Improve verbal
communication and
presentation skills.
Climb the ladder that leads you to your dream job.
Upgrade and polish resumes to make them stand out to potential employers.
Optimize LinkedIn profiles to improve visibility and networking opportunities.
Earn a certificate valued by top companies.
Fortify Your Profile to Increase Credibility
Access Well-Paying Data Analyst positions
Earn a certificate valued by top companies.
Cohort 10 Starting
6th Dec, 25
Early Bird OfferTotal Program Fee:
₹89,000/-
₹53,400/-
Your Roadmap to Become a Pro Data Analyst
Self-PacedUpskill yourself by gaining insights from leading professionals' vast experience.
Sharpen your skills by learning through course assignments, live projects, and regular assessments and quizzes.
Resolve your queries from industry experts with our dedicated 1:1 doubt-clearing sessions.
Craft a diverse portfolio and appealing resume, and optimize LinkedIn to showcase your data analytics skills.
Secure your spot quickly — seats are filling fast! Don’t miss out — enroll now and take the first step towards transforming your career!
Secure your spot quickly — seats are filling fast! Don’t miss out — enroll now and take the first step towards transforming your career!
WsCube Tech Alumni Stories, You can't afford to miss.
Open to Work | Data Analyst | B.E. CSE Graduate (2025) | Power BI | SQL | Tableau | Python | Business Intelligence | Data Visualization | ML Basics | Open to Python Developer , ai/ML intern , Data Analyst, BI Analyst
🚀 Coffee Shop Store Dashboard | Excel + Power Query + Power Pivot ☕📊
Thrilled to share my latest project — a Coffee Shop Sales Dashboard built entirely in Excel, designed to transform raw sales data into actionable insights. ✨
💡 The WsCube Tech YouTube channel, I used her version as a base and enhanced it with my own design and features to make the dashboard more interactive and insightful.
⚡ Tools & Features Used :
Power Query : for data cleaning & transformation
Power Pivot : for data modeling & DAX calculations
Slicers : for dynamic, user-driven filtering
📊 Key Insights Derived :
⏰ Peak sales hours & busiest weekdays
🏪 Store-wise sales & footfall trends
📦 Product performance by category & size
💵 Average order value per customer
🏆 Top products by revenue & quantity
📈 Why it matters :
These insights can help optimize staffing, inventory, and promotions — boosting both revenue and customer satisfaction.
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 📈 Outcome: A clean, scalable analytics solution built in Excel, enabling faster and smarter business decisions. This project strengthened my skills in automation, data modeling, and dashboard design—skills I’m excited to apply in real-world analytics roles. I completed this project with the help of WsCube Tech . Thankyou Ayushi Jain for your guidance .
Data analytics Mentee @ WsCubeTech | Data Analyst | Passionate about Data Analysis | SQL | Python | PowerBI | MS Excel
Feeling incredibly proud to share that I’ve completed a 5-month Data Analysis Mentorship Program with WsCube Tech with A+ grade! 🌟 Over these months, I’ve not only built a strong foundation in SQL, Excel, Python, and Power BI, but also got hands-on experience through projects like McDonald's Sales Analysis, Jenson USA Sales Data Analysis, ITC Hotel Revenue Optimization, Customer Sentiment Analysis that challenged and inspired me. This journey has been full of learning, unlearning, and growth. I'm deeply grateful to my mentors, Ayushi Jain ma'am, Tushar Jha sir, Akansha Khatri ma'am and Avinay Vidyarthi sir for their constant encouragement and guidance, and to the entire WsCube Tech team for creating such a meaningful and supportive learning environment. 🙏 Excited for what lies ahead in the world of data! 🚀
Client analyst @Numerator|| EX Data Analyst at @Global Assist ||EX Mentee @WsCube Tech|| Excel ||Python || Machine Learning || BTech in AI &ML
🎓 Certification Achieved! I’m thrilled to share that I’ve successfully completed a 5-month Data Analytics Mentorship Program with an A+ grade! 🚀 This experience has been a transformative journey—full of challenges, breakthroughs, and continuous learning. 💡 What I Gained: Mastered tools like Advanced Excel, Python, SQL, Power BI, and Tableau for in-depth data analysis. Worked on real-world projects with top brands including Myntra, McDonald's, Amazon, Swiggy, Flipkart, ITC Hotels Limited, and Airbnb, applying analytical techniques to drive actionable insights. Gained hands-on experience in EDA (Exploratory Data Analysis), data visualization, and interactive dashboard development. Designed & built insightful dashboards that reveal patterns, trends, and business opportunities from complex datasets. 🙌 Gratitude Corner: A heartfelt thank you to Ayushi Jain ma’am, Tushar Jha sir, Akansha Khatri ma’am, Avinay Vidyarthi sir, and all the incredible mentors at WsCube Tech. Your guidance, encouragement, and deep expertise made this journey truly meaningful. 📈 I’m excited to leverage these skills to tackle real-world business problems and continue evolving in the dynamic world of data analytics.
Open to Work | Data Analyst | B.E. CSE Graduate (2025) | Power BI | SQL | Tableau | Python | Business Intelligence | Data Visualization | ML Basics | Open to Python Developer , ai/ML intern , Data Analyst, BI Analyst
🚀 Coffee Shop Store Dashboard | Excel + Power Query + Power Pivot ☕📊
Thrilled to share my latest project — a Coffee Shop Sales Dashboard built entirely in Excel, designed to transform raw sales data into actionable insights. ✨
💡 The WsCube Tech YouTube channel, I used her version as a base and enhanced it with my own design and features to make the dashboard more interactive and insightful.
⚡ Tools & Features Used :
Power Query : for data cleaning & transformation
Power Pivot : for data modeling & DAX calculations
Slicers : for dynamic, user-driven filtering
📊 Key Insights Derived :
⏰ Peak sales hours & busiest weekdays
🏪 Store-wise sales & footfall trends
📦 Product performance by category & size
💵 Average order value per customer
🏆 Top products by revenue & quantity
📈 Why it matters :
These insights can help optimize staffing, inventory, and promotions — boosting both revenue and customer satisfaction.
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 📈 Outcome: A clean, scalable analytics solution built in Excel, enabling faster and smarter business decisions. This project strengthened my skills in automation, data modeling, and dashboard design—skills I’m excited to apply in real-world analytics roles. I completed this project with the help of WsCube Tech . Thankyou Ayushi Jain for your guidance .
