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Master Data Science with SQL and Python
Rating: 4.4 out of 5(23 ratings)
1,068 students

Master Data Science with SQL and Python

Data Science Course with Python and MySQL - SQL, Machine Learning, Databases, Data Analytics and AI Fundamentals
Last updated 3/2026
English

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

Course content

7 sections33 lectures36h 26m total length
  • Overview of the Course3:30

    Master data science with SQL and Python takes you from Python foundations to machine learning, covering NumPy, Pandas, MySQL, SQL fundamentals, visualization, statistics, and a capstone on Kenya's housing prices.

  • Introduction4:46
  • Lecture 27:44
  • Lecture 36:12
  • Lecture 47:35

    Develop a versatile data scientist who masters statistics, mathematics, Python and SQL, and domain knowledge. Communicate results through visualization and apply machine learning techniques to drive business decisions.

  • Lecture 57:48

    Discover essential data science tools, including Python, R, and SQL, databases and NoSQL, cloud platforms, Tableau and Power BI dashboards, and Jupyter notebook workflows.

  • Lecture 69:25
  • Lecture 76:41

    Explore the data science life cycle—from defining the problem and collecting data to cleaning, exploring, modeling, interpreting results, and deploying solutions—illustrated with a game-like workflow.

  • Lecture 814:35

    Explore ethical considerations in data science, including privacy, consent, bias, transparency, accountability, and social impact, while outlining the data science ecosystem and roles from data engineers to machine learning engineers.

  • Introduction to Jupyter Notebook6:38

Requirements

  • There are no prior requirement's. This is a complete beginners course.

Description

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.

Who this course is for:

  • This course is for anyone who is interested in Data Science. Whether you are learning casually or interested to advancing in Data Science, this course is for you.