The program is built for the top 1% data analysts.
Master how AI enhances data cleaning, visualization, and predictive modeling in modern analytics.
Learn directly from data leaders from Google, Amazon, Microsoft, Rapido & KPMG.
Live interactive sessions where you analyze data, build dashboards, discuss, and extract insights together in real time.
Gain real industry exposure by working as a Data Analytics Intern with a 4-week online internship.
Get dedicated help into your hiring journey end-to-end with real recruiter expectations.
Our alumni are now excelling in high-impact data roles across leading tech, consulting & product companies with career-defining salary jumps and global opportunities.
Get the complete report to explore all program outcomes.
Median Hike
Students Placed
Highest Package
Designed with insights from industry hiring managers & AI-driven industry demands.
Five
Program Duration
Live Online
106+ hrs
10
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!
Project:
Case Study
You are working at Myntra, a leading online fashion retailer. The management has asked you to analyse a dataset of various apparel items to gain insights into pricing, discounts, ratings, and available sizes.
As a data cleaning analyst at Audible, you've been assigned the task of cleansing a dataset sourced from audible's app. Ensure meticulous attention to detail to guarantee the accuracy and reliability of our data for subsequent analyses.
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.
Project:
Case Study
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.
Transform raw data into powerful insights with Data Visualization! Learn to create interactive dashboards, compelling charts, and dynamic reports using tools like Power BI and Tableau. Master the art of storytelling with data and make informed decisions with ease!
Project:
Case Study
As a Data Analyst, you have been tasked with using Power BI and DAX (Data Analysis Expressions) to build an interactive Financial Intelligence Dashboard. Develop complex measures including running totals, moving averages, Year-to-Date (YTD), Month-to-Date (MTD), Year-over-Year (YoY) growth, and variance analysis to monitor revenue and cash flow trends, enabling data-driven financial planning and strategic decision-making.
Transform raw data into compelling stories using Power BI/Tableau and compete to present the best insights.
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 analyze, transform, and visualize data efficiently.
Project:
Case Study
As a Data Analyst at Amazon Prime Video, you have been tasked with using Python to analyze viewing completion rates, genre preferences, release timing, audience engagement, and marketing spend to identify success patterns, and support data-driven decisions for future content investments.
Compete to solve coding challenges in the shortest and most efficient way possible while learning best practices.
A 4-week immersive internship where you work as a Data Analyst Intern at WsCube Tech on real business challenges. Gain hands-on experience in data analysis, visualization, and reporting across multiple departments. Experience the real workflows of modern data teams while contributing to decision-driving projects.
Learn the latest tools and trends shaping the future of data roles.
Your final sprint to a high-performing marketing career.
Your final sprint to a high-performing marketing career.
Build a strong online presence with to get noticed by recruiters.
Present ideas, tell stories, and ace interviews.
Master the practical side of digital marketing hiring.
Build a strong online presence with to get noticed by recruiters.
Craft impactful, job-ready resumes.
Showcase your projects and data stories effectively.
Present real work with structured repositories.
Optimize your profile for recruiter visibility.
Present ideas, tell stories, and ace interviews.
Present your data 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.
Master the practical side of digital marketing hiring.
Problem-solving with SQL, 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 a strong online presence with to get noticed by recruiters.
Craft impactful, job-ready resumes.
Showcase your projects and data stories effectively.
Present real work with structured repositories.
Optimize your profile for recruiter visibility.
Present ideas, tell stories, and ace interviews.
Present your data 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.
Master the practical side of digital marketing hiring.
Problem-solving with SQL, 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.
Earn a data analytics certification valued by employers.
Build credibility with hands-on experience and certification.
Access roles across analytics, business intelligence, and data teams.
Earn a data analytics certification valued by employers.
Build credibility with hands-on experience and certification.
Access roles across analytics, business intelligence, and data teams.
Next Cohort Starting From
9:30 PM to 11:30 PM
MWF
9:30 PM to 11:30 PM
EveningMWF
Filling Fast15 Seats Left!9:30 PM to 11:30 PM
MWF
9:30 PM to 11:30 PM
EveningMWFFilling Fast15 Seats Left!A Real Industry Experience, Not Just an Online Class.
Learn real industry use cases and instantly apply every concept with short, focused assignments inside the live class, guided step-by-step by expert mentors.
Case Studies
Assignments
Turn every concept into execution, just like in real data teams.
Every milestone ends with a complete, portfolio-ready Data Analytics with GenAI projects that proves your practical expertise.
Portfolio Projects
Public Portfolio
You won’t need to say you’re a Data Analyst, 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
Hands-on training on tools used by McDonald's, KFC, PayPal & more.
Build a full-scale Data Analytics with GenAI system and present it live in an online Demo Day to mentors & peers.
Because the best Data Analysts are made by doing, not just learning.
Never get stuck, connect instantly with mentors and like-minded Data Analytics learners. Build accountability circles, share project feedback, work together, and grow as a team.
WsCube Learners Community
Live Mentor Access
You’re never learning alone; you’re growing in a tribe.
Face 1:1 mock interviews, problem-solving rounds, and project simulations designed exactly like real hiring at top tech, fintech, and data companies. Get actionable feedback from experts who’ve actually hired Data Analysts.
HR Round
Strategy + Campaign-Based Round
Walk into interviews with clarity, strategy, and confidence.
Graduate with pride in an 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.
Get transparent details about data analytics course fees, payment options, and overall value aligned with career outcomes.
Special DiscountsTotal Program Fee:
₹53,400/-
₹35,000/-
WsCube Tech Alumni Stories, You can't afford to miss.
Data Analyst | Skilled in Excel, Power BI, SQL & Python | Passionate About Business & Market Analytics | #OpenToWork
Excited to share my latest Power BI project focused on *Revenue Optimization for ITC Hotels!* 🏨📊
This analysis delved into key performance indicators to identify opportunities for improvement. Some of the critical insights include:
* ⚠ A significant *cancellation rate of 24.83%* is leading to a substantial *lost revenue of ₹199 million*. The increasing trend in cancellations week-over-week and month-over-month is particularly concerning.
* ⏳ A large portion of cancellations happen very close to check-in (0-2 days prior), indicating a need to understand the drivers behind these last-minute changes.
* 💰 The impact of lost revenue from cancellations varies across properties, with *ITC Exotica and ITC Palace experiencing the highest losses*, suggesting the need for property-specific strategies.
* 🗓 Interestingly, a significant number of bookings are also made within a short window (0-2 days prior to check-in), highlighting the importance of dynamic inventory and pricing.
* 🎉 Weekends show consistently high occupancy, presenting an opportunity to focus on strategies to boost weekday occupancy.
* 🔍 Noticed some potentially anomalous occupancy data for certain room categories (RT4, RT3, RT1, RT2), suggesting a need for data quality review.
This project underscored the power of data visualization in identifying key business challenges and potential solutions within the hospitality industry.
B.Tech (CSE) | Data Analyst (Microsoft Excel, SQL, Python, Power BI)
I recently completed an exploratory data analysis (EDA) using Python fromWsCube Tech where I dove deep into understanding customer churn patterns. From investigating contract types to payment methods, I was able to uncover some valuable insights on what drives customers to churn.
This project helped me explore the power of data and how simple visualizations can reveal significant trends. I'd love to get your feedback on it!
Internal Audit & WHS Officer | MBA | Certified Data Analyst | WHS Strategic Planning | Corporate Auditing (InterReact, ADICT, PULSE) | Python | SQL | Power BI | Tableau | Advanced Excel
Successfully completed an intensive, project-based data analyst mentorship program with top distinction (A+).
🎉 Proud Achievement Unlocked: Completed My 5-Month Data Analysis Mentorship Journey!
I’m thrilled to share that I’ve successfully completed the Data Analysis Mentorship Program by WsCube Tech — and what an amazing ride it’s been!
Over the past 5 months, I’ve not only built a solid foundation in data analysis, but also gained hands-on experience through real-world projects involving top brands like Myntra, McDonald's, Swiggy, Zomato, Airbnb, and Jenson USA.
🔍 Key Skills I Developed:
✅ Excel & Power Query – for efficient data cleaning and automation
✅ SQL – to extract meaningful insights through business-driven queries
✅ Python – for in-depth analysis, powerful data visualization, and robust web scraping
✅ Tableau & Power Bi– to craft interactive dashboards that tell stories with data
✅ Web Scraping – using BeautifulSoup to extract valuable insights from platforms like Flipkart & Zomato
✅ Statistics & Machine Learning – applied Linear Regression, K-Means Clustering, and Logistic Regression on business datasets for predictive analytics
📂 Explore My Work
I’ve shared all my project work and dashboards in my LinkedIn & Github, available via the link in my LinkedIn bio. I’d love to hear your thoughts, exchange ideas, or even collaborate. 🤝💬
Data Analytics Mentee @WsCube Tech |Advance Excel | SQL | Power BI
🌟 Thrilled to Share a Big Milestone in My Data Analytics Journey! 🌟
I’m proud to announce that I have successfully completed the Data Analytics Mentorship Program offered byWsCube Tech!
This comprehensive program ran from September 2024 to February 2025 and provided me with hands-on training, mentorship, and real-world project experience. I’m honored to have received an A+ grade, which reflects the dedication and effort I’ve put into upskilling myself in this exciting field.
Over these five months, I immersed myself in the core tools, technologies, and problem-solving strategies used in the data analytics industry. Here’s a quick snapshot of what I learned and accomplished:
Core Tools & Technologies Covered:
Excel for data cleaning, transformation, and dashboards
SQL for querying large datasets and database management
Power BI for interactive dashboard creation and business intelligence reporting
Python for data analysis, data visualization (using Pandas, Matplotlib, Seaborn), and automation
Basics of Machine Learning and predictive analysis
Real-World Projects:
I worked on multiple industry-oriented projects including:
E-commerce data analysis
Flight delay insights and dashboard creation
Customer behavior analysis
Revenue optimization models
These projects helped me apply my skills to real data problems and taught me how to generate actionable insights.
Skills Gained:
Data preprocessing & cleaning
Data visualization & storytelling
Analytical thinking & problem-solving
Reporting KPIs and deriving business decisions from data
Collaborating and communicating insights clearly
What made this journey even more rewarding was the mentorship, guidance, and constructive feedback from the instructors and the WsCube Tech team. Their support and the collaborative learning environment pushed me to constantly challenge myself and grow.
I am deeply grateful toKushagra Bhatia(Founder, WsCube Tech) and the entire team for curating such a structured and industry-relevant program. 🙏
As I move forward, I’m excited to continue learning and to take on new challenges in the field of data analytics and business intelligence. I’m actively exploring opportunities to apply these skills in impactful ways—whether through internships, projects, or full-time roles.
Thank you to everyone who’s supported me on this journey so far!
Let’s connect! I’d love to collaborate, share ideas, and grow together in the world of data.
Data Analyst | Skilled in Excel, Power BI, SQL & Python | Passionate About Business & Market Analytics | #OpenToWork
Excited to share my latest Power BI project focused on *Revenue Optimization for ITC Hotels!* 🏨📊
This analysis delved into key performance indicators to identify opportunities for improvement. Some of the critical insights include:
* ⚠ A significant *cancellation rate of 24.83%* is leading to a substantial *lost revenue of ₹199 million*. The increasing trend in cancellations week-over-week and month-over-month is particularly concerning.
* ⏳ A large portion of cancellations happen very close to check-in (0-2 days prior), indicating a need to understand the drivers behind these last-minute changes.
* 💰 The impact of lost revenue from cancellations varies across properties, with *ITC Exotica and ITC Palace experiencing the highest losses*, suggesting the need for property-specific strategies.
* 🗓 Interestingly, a significant number of bookings are also made within a short window (0-2 days prior to check-in), highlighting the importance of dynamic inventory and pricing.
* 🎉 Weekends show consistently high occupancy, presenting an opportunity to focus on strategies to boost weekday occupancy.
* 🔍 Noticed some potentially anomalous occupancy data for certain room categories (RT4, RT3, RT1, RT2), suggesting a need for data quality review.
This project underscored the power of data visualization in identifying key business challenges and potential solutions within the hospitality industry.
B.Tech (CSE) | Data Analyst (Microsoft Excel, SQL, Python, Power BI)
I recently completed an exploratory data analysis (EDA) using Python fromWsCube Tech where I dove deep into understanding customer churn patterns. From investigating contract types to payment methods, I was able to uncover some valuable insights on what drives customers to churn.
This project helped me explore the power of data and how simple visualizations can reveal significant trends. I'd love to get your feedback on it!
Here’s everything you may ask.
There are a wide range of career opportunities after the course on data analytics, including:
These are just a few examples of the many career paths available in data analytics. With the right skills and knowledge, there are plenty of opportunities to build a successful and rewarding career in this field.
The average data analyst salary in India is around INR 6,00,000 to INR 8,00,000 per annum. However, this can vary based on location, company size, industry, skills, education, and job responsibilities.
In the United States, the average salary for a data analyst is around $62,453 to $96,000 per year. In the United Kingdom, the average salary for a data analyst is around £28,000 to £50,000 per year.
A data analyst is a professional who analyses and interprets large volumes of data to identify patterns, trends, and insights that can be used to inform business decisions, improve performance, and drive growth.
Some common tasks of a data analyst include:
Data analytics can be a valuable skill set for a wide range of professionals, including:
Many companies across a wide range of industries are hiring for data analyst roles. Some of the top companies include:
In addition to these large tech and consulting firms, many smaller companies and startups are also hiring data analysts as they recognise the value of data-driven decision-making.
Industries such as finance, healthcare, retail, and manufacturing are all using data analytics to improve their operations and products, and as a result, they are hiring for data analyst roles.
There are also many online job boards and staffing agencies that specialise in placing data analysts in various industries and job functions. So if you are interested in this career, there are many opportunities available across a wide range of industries and company sizes. Join our best online data analytics course in India now to get started!
The subjects covered in our data analytics course in India include:
Power BI is a powerful business intelligence and data visualisation tool developed by Microsoft. It allows users to connect to a wide range of data sources, transform and model the data, and create interactive reports, dashboards, and visualisations.
With Power BI, users can easily analyse and understand data to gain insights and make informed decisions. It is widely used by businesses, data analysts, and data scientists to collect, analyse, and present data in an effective and visually appealing way. Power BI also provides a variety of features for collaboration, sharing, and data security.
SQL (Structured Query Language) is a fundamental tool in data analytics. It is a programming language that is used to communicate with relational databases, such as MySQL, Oracle, and SQL Server. SQL is used to extract, manipulate, and analyse data stored in databases.
In data analytics, SQL is used to perform various tasks, including:
Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to find useful insights that help businesses make better decisions. Every time a company tracks sales, customer behavior, website traffic, or performance reports, data analytics is involved.
A data analyst studies this data to identify patterns, trends, and problems, then presents insights in a simple and understandable way. Data analytics is used in almost every industry today, including technology, finance, healthcare, marketing, and e-commerce.
For beginners, data analytics is a great career choice because it combines logic, problem-solving, and practical business impact without requiring heavy coding at the start. For learning it, join the best data analysis course in India by WsCube Tech.
