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Applied Data Analytics Masterclass 

Course Code: MC15002
Course Title: Applied Data Analytics Masterclass
Start Date: July 10, 2025 📅
Duration: 40 hours (30 hours classwork + 10 hours self-study, 2 classes/week) ⏰
Mode: Blended (online lectures, live sessions, hands-on labs, project work) 🌐
Class Size: 20-30 participants 👥
Course Equivalent: 2 Credit Hours
Course Fee: 3,500 BDT (discounted from 5,000 BDT) 💸

Course Description 🚀
Applied Data Analytics Masterclass (MC15002) meets the surging demand for data professionals, with a projected 25% growth in analytics roles over the next 5 years (McKinsey, Deloitte). This hands-on course equips learners with skills in Python, SQL, machine learning, and visualization tools like Power BI and Plotly. Through real-world datasets and a capstone project, participants will master data wrangling, predictive modeling, and business intelligence, preparing for high-demand roles in data science, analytics, and machine learning. 🌟

Learning Outcomes
Participants will:

  • Master core data analytics concepts and tools. 📊

  • Create visualizations and dashboards with Power BI, Plotly. 🖼️

  • Build and evaluate machine learning models. 🤖

  • Perform time series forecasting with ARIMA, Prophet. ⏳

  • Complete a capstone project showcasing analytics skills. 📜

Target Audience 🎓

  • Data analysts, data scientists, business analysts.

  • Fresh graduates (Computer Science, Economics, Engineering, Mathematics).

  • Professionals transitioning to data analytics/ML roles.

Entry Requirements 📋

  • Bachelor’s degree in Computer Science, Engineering, Business, or related fields.

  • Basic statistics/programming knowledge (helpful, not mandatory).

  • Minimum age: 18 years.

Career Pathways 🚀

  • Roles: Data Scientist, Business Intelligence Analyst, ML Engineer.

  • Advanced studies in data science, AI, or machine learning.

Course Details
Duration: 28 Sep 2025 - 31 Dec 2025
Faculty: Science and Information Technology
Level: Beginner to Advanced
Mode: Hybrid
Price: 3500 BDT 5000
Your Instructors
Instructor
Md. Zahid Hasan

Associate Professor & Coordinator, Health Informatics Research Lab, Dept. of CSE, Daffodil International University
Instructor
Sadat Hasan

Data Scientist, BRAC Bank
What You'll Learn
  • Module 1: Intro to Data Analytics; Python Basics; SQL & File Handling.
  • Module 2: Data Wrangling; Data Analysis & Visualization; Web-Based Dashboards.
  • Module 3: Business Intelligence; Statistics for Data Science; Statistical Testing
  • Module 4: Feature Engineering; Machine Learning; Time Series Forecasting.
  • Module 5: Capstone Project: Solve a real-world industry problem using Python, SQL, ML, and visualization.
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