Data Science & Analytics: From Data to Insights

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About Course

This course provides a comprehensive introduction to data science and analytics, focusing on real-world data handling and decision-making. Learners will explore how to collect, clean, analyze, and visualize data using modern tools like Python and SQL.

Through hands-on projects and practical exercises, students will gain the skills required to extract meaningful insights and solve real-world problems using data. By the end of the course, learners will be ready for entry-level roles in data science and analytics.

What Will You Learn?

  • Understand data science fundamentals
  • Work with Python libraries like Pandas and NumPy
  • Clean and preprocess real-world data

Course Content

Data Science Basics
Learn the fundamentals of data science, including what data is, types of data, and how data is used to solve real-world problems.

  • Introduction
  • Data Science Basics

Python for Data Analysis
Understand how to use Python libraries like Pandas and NumPy to work with data, perform calculations, and manipulate datasets efficiently.

Data Cleaning & Preprocessing
Learn how to handle missing values, remove errors, and prepare raw data for analysis to ensure accurate results.

Data Visualization
Create charts, graphs, and dashboards to present data in a clear and meaningful way using visualization tools.

SQL for Data Analytics
Learn how to query databases, extract data, and perform operations using SQL for efficient data analysis.

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