Udemy

Master Data Science with SQL and Python

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  • 1,061 Students
  • Updated 3/2026
4.3
(22 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Language
English
Taught by
Desmond Otieno Onam
Rating
4.3
(22 Ratings)

Course Overview

Master Data Science with SQL and Python

Data Science Course with Python and MySQL - SQL, Machine Learning, Databases, Data Analytics and AI Fundamentals

This course comprehensively introduces data science using Python and MySQL, combining essential data manipulation, analysis, and database management skills. You'll learn Python's powerful data science libraries, including Pandas, NumPy, and Matplotlib, to clean, analyze, and visualize data. Additionally, you'll gain hands-on experience with MySQL, mastering SQL queries, database creation, and data management techniques to store and retrieve data efficiently.

Through real-world projects, you will explore the entire data science pipeline—data collection, storage, analysis, and visualization—while understanding how Python and MySQL integrate to solve practical problems. By the end of this course, you’ll be able to manipulate and analyze datasets, create insightful visualizations, and work confidently with databases, equipping you with the skills to handle diverse data science challenges in any professional setting. Suitable for beginners and intermediates.

You'll also delve into key statistical concepts and machine learning basics, applying predictive models to extract insights from data. The course emphasizes practical applications, guiding you through structured exercises and real-world datasets to reinforce your understanding. With Python, you'll automate data workflows and create interactive dashboards, while MySQL enables you to efficiently manage and query complex datasets. By the end, you’ll have a robust toolkit for tackling data science tasks, from initial data exploration to delivering data-driven insights and actionable recommendations across various industries.

Course Content

  • 7 section(s)
  • 33 lecture(s)
  • Section 1 Exploring the Data Science Landscape
  • Section 2 Statistics
  • Section 3 Python Introduction
  • Section 4 File Handling and Modules
  • Section 5 Modules and Libraries
  • Section 6 Python MySQL
  • Section 7 Machine Learning in Python

What You’ll Learn

  • Introduce Python basics and the its use in Data Science, Introduce MySQL and integration with python, Data Analysis and Visualization, Machine Learning from Basics to advanced


Reviews

  • L
    Lalchand Kumawat
    4.0

    Can't tell right now. I will answer it later

  • R
    Richard Kumar
    5.0

    The hands on approach in this course is what makes it stand out! Instead of just watching lectures, you actually work on SQL queries and Python scripts, which helps reinforce the concepts. The practical exercises are extremely valuable

  • K
    Kamal Arif
    5.0

    The way this course integrates both makes learning seamless and effective. The hands on approach really helped me build confidence

  • B
    Bilal Ahmed
    5.0

    The instructor explains everything clearly and provides real world examples, which help solidify learning. I especially loved the exercises that mimic real life data science scenarios

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