Data Analytics Project Guide

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.,