Data Analytics

Data Analytics

Data Analytics is the process of examining raw data to uncover patterns, insights, and trends that help businesses make data-driven decisions. This course provides practical training in data cleaning, visualization, statistical analysis, and business intelligence tools. Ideal for students, professionals, and anyone looking to start a career in analytics.

Duration: Flexible

Fees: Contact us for details

Syllabus Highlights

  • Introduction to Data Analytics & Its Applications
  • Basics of Statistics & Probability for Analytics
  • Data Collection, Cleaning & Preprocessing
  • Exploratory Data Analysis (EDA)
  • Microsoft Excel for Data Analytics (Pivot Tables, Charts, Functions)
  • SQL for Data Extraction & Analysis
  • Data Visualization with Power BI & Tableau
  • Python for Data Analytics (NumPy, Pandas, Matplotlib, Seaborn)
  • Business Intelligence & Dashboard Design
  • Introduction to Machine Learning for Analytics
  • Real-World Case Studies (Retail, Finance, Marketing, Healthcare)
  • Data Ethics, Privacy & Governance

Projects

  • Sales Data Analysis in Excel & Power BI
  • Customer Segmentation Analysis using Python
  • Building Interactive Dashboards in Tableau/Power BI
  • SQL-based Business Queries & Reporting
  • Predictive Analytics Mini Project
  • End-to-End Business Data Analytics Project (Big Project)

Outcomes

  • Ability to analyze, clean & visualize data efficiently
  • Strong hands-on experience with Excel, SQL, Power BI, Tableau & Python
  • Readiness for real-world analytics tasks in business & research
  • Career opportunities as Data Analyst, Business Analyst, BI Developer, or Junior Data Scientist