Data Analytics

Data Analytics is the process of analyzing raw data to extract meaningful insights and make informed decisions. This course provides a comprehensive understanding of data analytics concepts, tools, and techniques. You will learn how to collect, clean, analyze, and visualize data using industry-standard tools like Python, SQL, and Tableau. By the end of the course, you will be equipped to solve real-world business problems using data-driven approaches.

  • Introduction to Data Analytics
  • Data Collection and Cleaning
  • Exploratory Data Analysis (EDA)
  • Statistical Foundations for Data Analytics
  • Data Visualization with PowerBI
  • Introduction to Python for Data Analytics
  • Data Manipulation with Pandas
  • Data Visualization with Matplotlib and Seaborn
  • SQL for Data Analytics
  • Data Wrangling and Transformation
  • Predictive Analytics and Machine Learning Basics
  • A/B Testing and Hypothesis Testing
  • Business Intelligence and Reporting
  • Real-World Case Studies in Data Analytics
  • Capstone Project: End-to-End Data Analytics Solution
  • Interview Preparation and Career Guidance

Data Analytics

Data Analytics is the process of analyzing raw data to extract meaningful insights and make informed decisions. This course provides a comprehensive understanding of data analytics concepts, tools, and techniques. By the end of the course, you will be equipped to solve real-world business problems using data-driven approaches.

Data Analytics