As part of the mentorship program, you will have the opportunity to learn data analytics from a qualified team of data analysts and mentors skilled in SQL, Python, and BI tools like Power BI & Tableau. Here's what you can expect from the mentorship: - **Expert Guidance:** Receive direct guidance from experienced mentors who have solved real business problems using data. - **Structured Learning Path:** Follow a step-by-step approach to execute projects starting from raw datasets to actionable insights. - **Collaborative Learning:** Engage in team-based learning alongside peers and mentors to simulate a professional environment. - **Feedback & Reviews:** Regular checkpoints will be provided to ensure the accuracy, efficiency, and alignment of your analysis with industry standards. - **Career Focused Projects:** Each project is designed not only to enhance your skills but also to strengthen your portfolio and increase your employability. The mentorship program aims to help you develop the mindset, workflow, and problem-solving skills that are essential for top data professionals. ### 5 High-Demand Data Analytics Projects for Your Resume 1. **SQL + Power BI: Sales Performance Dashboard** - **Description:** Design a relational database using SQL to manage sales transactions and customer profiles. Create a Power BI dashboard to visualize KPIs such as revenue growth and top-performing products. - **Why in Demand:** Demonstrates end-to-end skills in data extraction and visualization, highly valued in analytics roles. 2. **SQL + Tableau: HR Analytics & Employee Retention** - **Description:** Analyze employee data with SQL and build an interactive Tableau dashboard highlighting retention risks and hiring trends. - **Why in Demand:** Proves your ability to use data for solving organizational challenges. 3. **Python: Customer Segmentation with EDA & Clustering** - **Description:** Perform Exploratory Data Analysis on customer purchase data using Pandas and NumPy. Apply clustering techniques to group customers by behavior. - **Why in Demand:** Companies seek analysts who can provide actionable insights for marketing and strategy. 4. **Python: Predictive Analytics for Churn Prediction** - **Description:** Build a machine learning model to predict customer churn using feature engineering and model evaluation metrics. - **Why in Demand:** Demonstrates understanding of applied machine learning in predictive modeling. 5. **Python: Financial Data Analysis & Forecasting** - **Description:** Analyze financial data and forecast future trends using Python. Visualize patterns with Matplotlib and Plotly. - **Why in Demand:** Time-series forecasting skills are highly valued in finance-related analytics roles. ### How These Projects Help Freshers - Cover end-to-end data workflows including SQL, Visualization, Python, and Machine Learning. - Each project is resume-ready and showcases practical skills that employers seek. - Provide freshers with a portfolio to stand out in job applications and interviews. ### Eligibility & Skills **Essential Skills:** - Basic knowledge of SQL including writing simple queries and using SELECT, WHERE, JOIN, GROUP BY. - Basic knowledge of Python including familiarity with variables, loops, lists, dictionaries, and libraries like Pandas & Matplotlib. **Who Can Join:** - Freshers or learners interested in enhancing their data analytics skills. - Individuals seeking hands-on project experience for their portfolio. ### Important Note This mentorship program is unpaid and focuses entirely on learning, skill-building, and creating resume-ready projects. Participants will receive guidance, support, and mentorship throughout the 5 advanced projects.,
Learning data analytics becomes much more effective when guided by professionals who have both technical expertise and real-world experience . Under this mentorship program, participants will be supported by a qualified team of data analysts and mentors who bring diverse projects from diverse companies project like TATA, British Airways, Deloitte etc. These project help candidate hiring chances 3 to 5 times more than other candidates. The projects are aliened with the industry in a such way so that recruiter can not take a chance to ignore like SQL + e- commerce +industry stake holder, Statistics + operations+ communication etc. 🔹 What You Can Expect from the Mentorship: Expert Guidance : Learn directly from mentors experienced in solving real business problems with data. Structured Learning Path : Step-by-step project execution — from raw datasets to actionable insights. Collaborative Learning : Work alongside peers and mentors, simulating a team-based professional environment. Industry Projects : Real time industry project like TATA, British Airways etc. from forage which give certification from the companies as well preferential candidate for full time job hiring. Career Focused Projects : Every project is designed to not only build skills but also strengthen your portfolio and boost employability. This mentorship ensures that you’re not just “completing projects” but actually developing the mindset, workflow, and problem-solving skills that top data professionals use every day. 5 High-Demand Data Analytics Projects for Your Resume 1. SQL + Power BI: Sales Performance Dashboard Description : Design a relational database using SQL to manage sales transactions, customer profiles, and regional data. Build complex queries (joins, window functions, aggregations) to extract insights. Then, create a Power BI dashboard that visualizes KPIs such as revenue growth, top-performing products, and regional trends. Why in Demand : Every business tracks sales; this project demonstrates end-to-end skills in data extraction + visualization , highly valued in analytics roles. 2. SQL + Tableau: HR Analytics & Employee Retention Description : Analyze employee data with SQL to identify patterns in attrition, performance, and promotions. Use Tableau to build an interactive dashboard that highlights retention risks, workforce diversity, and hiring trends. Why in Demand : HR analytics is growing rapidly; this project proves you can use data to solve real organizational challenges . 3. Python: Customer Segmentation with EDA & Clustering Description : Perform Exploratory Data Analysis (EDA) on customer purchase data using Pandas, NumPy, and Seaborn. Apply clustering techniques (e.g., K-means) to group customers by behavior, then visualize results. Why in Demand : Companies want analysts who can go beyond reporting to provide actionable insights for marketing & strategy . 4. Python: Predictive Analytics for Churn Prediction Description : Build a machine learning model (Logistic Regression / Random Forest) to predict customer churn. Use feature engineering, train-test split, and model evaluation metrics (AUC, precision, recall). Why in Demand : Predictive modeling is one of the hottest areas in analytics, and showcasing this proves you understand applied machine learning . 5. Python: Financial Data Analysis & Forecasting Description : Use Python to analyze stock price or financial transaction data. Perform time series analysis (moving averages, ARIMA/Prophet models) to forecast future trends. Visualize patterns with Matplotlib and Plotly. Why in Demand : Finance is a core domain for analysts, and time-series forecasting skills are highly valued in jobs ranging from fintech to business intelligence. 🎯 How These Projects Help Freshers They cover end-to-end data workflows (SQL → Visualization → Python → Machine Learning). Each project is resume-ready and showcases practical skills that employers demand. They provide freshers with a portfolio to stand out in job applications and interviews. 🔹 Eligibility & Skills Essential Skills: Basic knowledge of SQL – Able to write simple queries, use SELECT, WHERE, JOIN, GROUP BY. Basic knowledge of Python – Familiar with variables, loops, lists, dictionaries, and basic libraries like Pandas & Matplotlib. Who Can Join: Freshers or learners aiming to strengthen their data analytics skills . Anyone looking to gain hands-on project experience for their portfolio. Important Note: This is an unpaid mentorship program . The focus is entirely on learning, skill-building, and building resume-ready projects . Participants will receive guidance, support, and mentorship throughout the 5 advanced projects.