Fundamentals of Data Ingestion with Python

Learn How to Use Python Tools and Techniques to Get The Relevant, High-Quality Data You Need
4.50 (4 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Fundamentals of Data Ingestion with Python
971
students
1 hour
content
May 2024
last update
$19.99
regular price

Why take this course?

🌟 Course Title: Fundamentals of Data Ingestion with Python

🚀 Headline: Dive into the World of Efficient Data Acquisition with Expert Python Tools!


Unlock the Secrets of High-Quality Data Retrieval with Python! 📊🐍

Welcome to the "Fundamentals of Data Ingestion with Python" course, where Miyuki Taka guides you through the critical process of data acquisition and preparation. In the ever-evolving field of data science, mastering the art of data ingestion is not just an asset—it's a necessity!

Why Take This Course?

  • 🔍 Comprehensive Learning: Understand the end-to-end process of data acquisition and cleaning using Python.
  • 🚀 Hands-On Experience: Work with real-world datasets, various formats like CSV, XML, and JSON, and explore different sources of data.
  • 🛠️ Essential Tools & Techniques: Gain proficiency in leveraging APIs, web scraping (responsibly!), and more.
  • 🧠 Data Quality Mastery: Learn to validate, cleanse, and transform raw data into a reliable resource for analysis.
  • 📈 Performance Optimization: Implement KPIs to monitor and improve the efficiency of your data ingestion process.

Course Highlights:

  • Data Acquisition Techniques: Discover how to efficiently retrieve data from diverse sources, including files and APIs.

    • Parse CSV, XML, and JSON files with ease.
    • Access and interact with web APIs securely.
    • Engage in ethical web scraping practices.
  • Data Cleaning & Preparation: Learn the best practices for cleaning data to ensure high quality and reliability.

    • Implement data validation techniques.
    • Remove inconsistencies and correct errors in your datasets.
    • Transform raw data into a format ready for analysis.
  • Data Monitoring & Optimization: Set up KPIs to track the performance of your data ingestion pipeline.

    • Define metrics that matter most to your projects.
    • Track progress and identify areas for improvement.
    • Optimize the efficiency of your data processes.

Who Is This Course For?

  • Aspiring data scientists who want to build a strong foundation in data ingestion.
  • Python developers looking to expand their skillset into data management.
  • Any professional or enthusiast who handles data and seeks to streamline the process of obtaining, cleaning, and preparing datasets for analysis.

What Will You Gain?

  • A robust understanding of the Python tools and techniques needed for effective data ingestion.
  • The ability to confidently work with various data formats and sources.
  • Practical experience in ensuring the quality of your data before it reaches the analysis stage.
  • Insights into setting up KPIs that provide valuable feedback on your data processes.

Embark on Your Data Ingestion Journey Today! 🌟

Join Miyuki Taka in this enlightening course and unlock the full potential of Python for data ingestion. Master the techniques, tools, and best practices to efficiently acquire and prepare the high-quality data needed to fuel your data science projects. Enroll now and take the first step towards becoming a data ingestion expert!

Course Gallery

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Screenshot 4Fundamentals of Data Ingestion with Python

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5950970
udemy ID
30/04/2024
course created date
05/05/2024
course indexed date
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course submited by
Fundamentals of Data Ingestion with Python - | Comidoc