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Categories: Programming

About Course

This Data Analytics course provides complete training in data analysis, visualization, and business intelligence using Excel, SQL, Python, Power BI, and Tableau. Students will learn to analyze real-world datasets, create interactive dashboards, and generate meaningful insights to support business decision-making.

Course Duration

  • Total Duration: 4-6 Months
  • Mode: Classroom / Online / Hybrid
  • Includes: Real-Time Projects
  • Includes: Interview Preparation
  • Internship Certificate: Provided

Tools and Technologies Covered

  • Microsoft Excel (Advanced Excel)
  • SQL and Database Management
  • Python for Data Analytics
  • Python Libraries: Pandas, NumPy, Matplotlib
  • Power BI and Interactive Dashboards
  • Tableau
  • Data Cleaning and Data Preprocessing
  • Exploratory Data Analysis (EDA)
  • Data Visualization
  • Statistics for Data Analytics
  • Real-World Dataset Analysis

Career Opportunities

  • Data Analyst
  • Business Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • Data Visualization Specialist
  • Junior Data Scientist

Course Content

Module 1: Introduction to Data Analytics

  • Introduction to Data Analytics
  • Types of Data and Data Analytics
  • Data Analyst Roles and Responsibilities
  • Data Analytics Life Cycle
  • Structured and Unstructured Data
  • Real-World Applications of Data Analytics
  • Understanding Business Problems
  • Introduction to Data-Driven Decision Making

Module 2: Microsoft Excel for Data Analytics

Module 3: Statistics for Data Analytics

Module 4: SQL and Database Management

Module 5: Python Programming for Data Analytics

Module 6: Python Libraries for Data Analysis

Module 7: Data Visualization with Python

Module 8: Power BI and Business Intelligence

Module 9: Tableau Data Visualization

Module 10: Data Cleaning and Exploratory Data Analysis

Module 11: Real-World Data Analytics Projects

Module 12: Interview Preparation and Career Development