“Data Analysis Part 2” SQL and Python for Data Analysis

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“Data Analysis Part 2” SQL and Python for Data Analysis

Course Overview

The SQL and Python for Data Analysis course equips you with the dual power of SQL for querying and managing databases and Python for advanced data analysis and visualization. Build the skills to analyze, manipulate, and present data effectively using these two essential tools.

Why This Course?

Combining SQL’s database querying capabilities with Python’s analytical strength gives you an edge in today’s data-driven world. This course offers an immersive experience to master both skillsets.

What Will You Learn During the Course?

SQL Fundamentals:

  • Understand relational databases and their structure.
  • Execute DDL commands (Create, Alter, Drop).
  • Utilize DML commands for data manipulation (Insert, Update, Delete).
  • Write advanced queries with joins, unions, subqueries, and window functions.

Python for Data Analysis:

  • Navigate Jupyter Notebooks for interactive programming.
  • Use Pandas and NumPy for data manipulation.
  • Visualize data effectively with Matplotlib and Seaborn.
  • Create and interpret complex plots like violin, scatter, and box plots.

Main Features

  • Hands-On SQL Exercises: Practice advanced querying techniques on real datasets.
  • Interactive Python Sessions: Engage with practical examples for visualization and analysis.
  • Industry-Experienced Trainers: Learn from professionals actively using these tools in the field.

For any inquiries, please contact us via email:
[email protected]
Or WhatsApp:
+201117064587
+201124919154

For any inquiries, please contact us via email:
[email protected]
Or WhatsApp:
+201117064587
+201124919154

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Course Details

  • Level: Begginer

  • Duration: 28 Hour

  • Delivery Method: Online & Offline

    Target Audience

    Master Data Analysis with SQL and Python

    Transform Raw Data into Actionable Insights!