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Python for Data Science

Categories: Data & AI
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    • About Course

      Turn raw data into real insight using Python. This course covers everything from core programming concepts to data wrangling with Pandas and building visualizations with Matplotlib and Seaborn. It’s built for people who want practical, job-relevant skills — not just theory.

      What Will You Learn?

      • Write Python code for data manipulation and analysis
      • Load, clean, and explore datasets with Pandas
      • Build charts and visualizations with Matplotlib and Seaborn
      • Identify trends and patterns in real-world data
      • Structure a basic data analysis workflow

      Course Content

      Topic 1: Python Basics
      Build a solid programming foundation before diving into data.

      • Lesson 1: Data Types, Variables & Operators
      • Lesson 2: Loops, Functions & File Handling
      • Python & Pandas Essentials

      Topic 2: Data Analysis with Pandas
      Wrangle real-world datasets like a pro.

      • Lesson 1: Loading & Exploring Datasets
      • Python for Data Science – Knowledge Check
      • Lesson 2: Filtering, Grouping & Aggregating Data

      Student Ratings & Reviews

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      59.00€ 99.00€
      • Intermediate
      • 0 Total Enrolled
      • 16 Qershor, 2026 Last Updated
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      A course by

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      MesazhiNet

      Material Includes

      • Sample datasets (CSV format)
      • Jupyter Notebook exercise files
      • Python cheat sheet (PDF)

      Requirements

      • Install Python 3.x and Jupyter Notebook before starting (guide provided)
      • No prior programming experience strictly required, but helpful
      • A computer with at least 4GB RAM recommended

      Audience

      • Aspiring data analysts and data scientists
      • Business professionals who work with data regularly
      • Python beginners interested in data careers

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