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Modern Data Analyst: SQL, Python & ChatGPT for Data Analysis

March 11, 2024 IT & Software, Udemy CoursesUdemy Coupon

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Modern Data Analyst: SQL, Python & ChatGPT for Data Analysis

Data Analyst Course: SQL, Python, NumPy, Pandas, Data Visualization, Cleaning and ChatGPT

The Modern Data Analyst: SQL, Python & ChatGPT for Data Analysis course on Udemy is designed to equip you with essential skills for data analysis. Let’s dive into the details:

Course Overview:

• Title: Modern Data Analyst: SQL, Python & ChatGPT for Data Analysis
• Instructors: Frank Andrade, Cristopher Kevin Gargate Osorio
• Language: English
• Duration: Approximately 20 hours and 16 minutes
• 30-Day Money-Back Guarantee

What You’ll Learn:

• SQL: Master SQL to create queries and work with databases.
• Python: Learn Python for data analysis, including data collection, exploration, and visualization.
• ChatGPT: Discover how to use ChatGPT for data analysis tasks, such as extracting data from websites and automating Excel reports.

Course Content:

SQL Section (5 lectures):

• Basics of SQL commands and clauses (SELECT, FROM, WHERE, INSERT, HAVING, UPDATE, etc.)
• Aggregate functions with GROUP BY commands
• SQL joins, logical operators, subqueries, and more.

Python Section:

• Python Crash Course: Core Python concepts (variables, lists, dictionaries, etc.)
• Python for Data Analysis: Using Pandas and NumPy for data tasks (cleaning, preparation)
• Python for Data Visualization: Creating visualizations with Pandas.

ChatGPT Section:

• Leveraging ChatGPT’s code interpreter for data analysis tasks.

Who Should Take This Course?:

• Aspiring data analysts who want to enhance their skills beyond Excel.
• Excel analysts looking to learn more powerful tools like SQL and Python.

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This comprehensive course covers both traditional and modern tools used in data analysis. By solving exercises and working on projects, you’ll gain practical experience and become a proficient data analyst. Enroll now and embark on your data analysis journey!

For more details and enrollment, visit the Udemy course page. Happy learning!