Data Analytics

This 8-week intensive Data Analytics course is designed to help learners transition from beginners to skilled analysts, capable of working with real-world data and generating actionable insights. The program covers the entire data lifecycle—from data collection, cleaning, and analysis to visualization and reporting—using industry-standard tools like Excel, SQL, Python, Tableau, and Power BI. You’ll start by mastering Excel analytics techniques, move into statistics and probability, and then build strong foundations in SQL and Python for data handling, cleaning, and visualization. You will also gain hands-on experience with business intelligence (BI) dashboards, regression analysis, time series forecasting, and clustering techniques. By the end of the course, you’ll apply everything learned in a capstone project (e.g., customer churn analysis, sales forecasting, HR attrition analysis, or marketing campaign performance), giving you a portfolio-ready project to showcase your skills. -- Key Highlights: - Covers Excel, SQL, Python, Tableau/Power BI step by step - Strong foundation in statistics, probability, and hypothesis testing - Hands-on with real-world datasets & business case studies - Learn data cleaning, EDA, visualization, and reporting - Build interactive dashboards and predictive models - Complete a capstone project to demonstrate your expertise -- Who Should Enroll? - Students & beginners who want to enter the data analytics field - Working professionals aiming to upskill for data-driven roles - Anyone preparing for roles like Data Analyst, Business Analyst, or BI Specialist -- Entrepreneurs & managers who want to make data-driven business decisions - Duration: 2 Months (8 Weeks) - Learning Mode: Practical coding + Visualization + Projects - Outcome: Become job-ready with industry-relevant data analytics skills and a portfolio project