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Databases and SQL for Data Science with Python

Databases and SQL for Data Science with Python

Databases and SQL for Data Science with Python

(3 customer reviews)

₦23,016.23

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Description

Unlock the power of data manipulation and management with our comprehensive course on Databases and SQL for Data Science with Python. Whether you’re a seasoned data scientist or just starting your data journey, understanding how to interact with databases and query data using SQL effectively is essential. This course is designed to equip you with the foundational knowledge and practical skills needed to harness the full potential of databases in your data science projects.

What you'll Learn

  1. Introduction to Databases: Delve into the world of databases and understand their role in storing and organizing data. Explore different types of databases, such as relational, NoSQL, and NewSQL, and learn when to use each type based on specific project requirements.
  2. Understanding SQL: Master the Structured Query Language (SQL), the standard language for managing and manipulating relational databases. Gain a deep understanding of SQL syntax, including querying data, filtering, sorting, joining tables, and aggregating data.
  3. Data Retrieval and Manipulation: Learn how to retrieve and manipulate data from databases using SQL queries. Understand the importance of efficient querying techniques to extract relevant information from large datasets.
  4. Data Analysis with SQL: Explore advanced SQL functionalities for data analysis, including window functions, subqueries, and common table expressions (CTEs). Discover how these techniques can perform complex analytics tasks directly within the database.
  5. Python and Database Integration: Integrate Python with databases to automate data retrieval, manipulation, and analysis tasks. Learn how to connect to databases using Python libraries such as SQLAlchemy and psycopg2 and execute SQL queries within Python scripts.
  6. Database Design and Optimization: Gain insights into database design principles and best practices for optimizing database performance. Learn how to design efficient database schemas, index data for faster retrieval, and optimize SQL queries for improved performance.
  7. Real-world Applications and Case Studies: Apply your newfound knowledge to real-world data science projects and case studies. Explore how databases and SQL are used in various industries such as finance, healthcare, e-commerce, etc.

3 reviews for Databases and SQL for Data Science with Python

  1. Queen –

    I’ve taken several courses on databases and SQL before, but this one stood out because of its focus on practical applications for data science. The instructor did a fantastic job of breaking down complex concepts into digestible chunks, and the Python exercises really solidified my understanding.

  2. Damilola –

    As someone relatively new to data science, this course was exactly what I needed to understand databases and SQL within the context of Python. The practical examples and real-world datasets made the learning experience both engaging and relevant. I feel much more confident in my ability to work with data now.

  3. Abdu –

    This course provided an excellent foundation in databases and SQL for data science applications. The Python integration was seamless, allowing me to apply what I learned immediately. The instructor’s explanations were clear, and the hands-on exercises were invaluable for reinforcing concepts.

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