Data Analysis with Python and SQLite: From CSV to Insights

Enroll in this Free Udemy Course on Data Analysis! Learn Python and SQLite today!

Dive into the world of data analysis with our engaging course focusing on Python and SQLite. This course equips you with the essential skills to manipulate and analyze data effectively. You will start by understanding key concepts of data analysis and setting up your programming environment with the Python IDE, ensuring you have the tools you need to succeed.

As you progress, you will learn to harness the power of SQLite, using its graphical interface to manage databases efficiently. We will take you through practical applications, such as converting CSV files into structured SQLite tables, cleaning data through SQL commands, and utilizing Python libraries to enhance your analysis. Whether you are seeking to maximize your data extraction capabilities or visualize key insights through graphs, this course will provide you with the knowledge to do so confidently.

By the end of this course, you’ll not only be familiar with SQL clauses and commands but also proficient in combining Python syntax to achieve comprehensive data analysis outcomes. You will gain practical experience through real-world datasets, enabling you to extract valuable conclusions and present your findings with clear visualizations. Join us in this journey to elevate your data analysis skills and unlock your potential in the tech landscape!

What you will learn:

  • Understand data analysis concepts using Python and SQLite
  • Learn to convert and clean CSV data into SQLite databases
  • Visualize data using various graph types and SQL queries

Course Content:

  • Sections: 4
  • Lectures: 20
  • Duration: 10 hours

Requirements:

  • Basic understanding of programming in Python

Who is it for?

  • Beginner programmers
  • Individuals in the IT sector
  • Curious learners eager to acquire new techniques and skills

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Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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