🔹 Course Overview In today’s digital era, data is the new currency. Every business needs professionals who can analyze data, interpret results, and guide strategy. The MygoMinds Business Analytics Program trains you to collect, process, visualize, and interpret business data — enabling you to make impactful decisions and support organizational growth. 🧠 Core Modules 1️⃣ Business & Data Foundations Introduction to Business Analytics Data Types, Sources, and Business Applications Understanding KPIs, Metrics, and Dashboards 2️⃣ Excel & Data Analytics Advanced Excel for Data Analysis Pivot Tables, Charts, and Dashboards Statistical Analysis using Excel 3️⃣ SQL for Data Management Writing Queries, Joins, and Subqueries Data Cleaning and Transformation Connecting SQL to BI Tools 4️⃣ Power BI & Tableau Data Modeling and DAX in Power BI Creating Interactive Reports and Dashboards Visual Analytics using Tableau 5️⃣ Python for Analytics (Introductory) Python Basics: Data Types, Pandas, NumPy Data Cleaning, Exploration, and Visualization Using Python for Predictive Analytics 6️⃣ Business Case Studies & Projects Retail, Banking, Healthcare, and E-Commerce Case Studies End-to-End Analytics Project Presentation Data Storytelling and Business Recommendations 💼 Career Outcomes Upon completion, learners are prepared for roles such as: Business Analyst Data Analyst BI Developer Market Research Analyst Operations or Strategy Analyst 🌟 Program Highlights 100% Practical Learning with Real Business Data Sets Placement Assistance & Interview Preparation Hands-on Projects and Case Studies Industry Expert Mentors Certification from MygoMinds Career Excellence Program ⏱ Duration & Eligibility Duration: 3–5 Months Mode: Classroom / Online / Hybrid Eligibility: BBA, BCom, B.Tech, MBA, MCA, or any Graduate aspiring for analytics career 🎯 Learning Outcome By the end of this course, you will confidently use analytics tools and visualization platforms to turn raw data into actionable insights, enabling smarter decisions across marketing, finance, HR, and operations.