Transform Raw Data into Actionable Insights
Data is the new oil—but it doesn’t come refined! Before you can analyze, visualize, or apply machine learning, you need to clean, structure, and transform your data. Our Data Wrangling with Python course gives you the essential tools and techniques to efficiently manipulate data from various sources, ensuring accuracy and usability.
This hands-on course covers everything from Python basics to powerful libraries like NumPy, Pandas, and Matplotlib. You’ll learn how to extract, clean, and format data using real-world datasets, helping you prepare for data analytics, machine learning, and business intelligence applications.
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Why Take This Course?
- Learn the Core of Data Wrangling – Understand how to extract, clean, and transform data for meaningful analysis.
- Master Powerful Python Libraries – Work with NumPy, Pandas, Matplotlib, and BeautifulSoup to manipulate and visualize data.
- Handle Real-World Data Issues – Detect outliers, manage missing values, and work with diverse data sources.
- Web Scraping & SQL Integration – Gather data from websites and databases for deeper insights.
- Hands-On Learning – Apply skills through practical exercises with real-world datasets.
What You’ll Learn
- Python for Data Wrangling – Lists, sets, dictionaries, and file operations.
- Advanced Data Structures – Manipulating data efficiently using built-in methods.
- NumPy & Pandas for Data Processing – Learn powerful techniques to reshape, filter, and analyze data.
- Data Cleaning & Transformation – Detecting outliers, handling missing values, and merging datasets.
- Web Scraping & Text Data Extraction – Extracting useful information from web pages with BeautifulSoup.
- SQL for Data Management – Querying databases using MySQL, PostgreSQL, or SQLite.
- Applying Data Wrangling in Real Life – Work on real-world business scenarios to solidify your learning.
Who Should Take This Course?
- Beginners in Data Analytics – Gain essential data manipulation skills to kickstart your career.
- Python Enthusiasts – Expand your programming knowledge with data-focused tools.
- Business Analysts & Researchers – Improve data processing and reporting efficiency.
- Aspiring Data Scientists – Build a strong foundation before diving into advanced analytics and machine learning.
No prior experience required!
Course Breakdown
- Introduction to Python Data Structures – Lists, dictionaries, tuples, and sets.
- File Operations & Data Handling – Managing structured and unstructured data.
- Exploring NumPy & Pandas – DataFrames, statistics, and visualization techniques.
- Advanced Data Wrangling Techniques – Subsetting, filtering, merging, and transformations.
- Web Scraping & Parsing – Automate data collection from online sources.
- SQL & Databases – Storing and retrieving structured data efficiently.
- Final Real-Life Data Wrangling Project – Apply all concepts to a real-world scenario.
Start Your Data Journey Today!
Turn messy, unstructured data into clean, usable insights with Python’s most powerful data manipulation tools.
- Upcoming Sessions: 3 days in March! 3/24/2025-3/26/2025
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