Python Data Analysis: NumPy & Pandas Masterclass
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- At udemy.com you can purchase Python Data Analysis: NumPy & Pandas Masterclass for only $84.99
- The lowest price of Python Data Analysis: NumPy & Pandas Masterclass was obtained on June 9, 2025 8:06 am.
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Python Data Analysis: NumPy & Pandas Masterclass
$84.99 Original price was: $84.99.$10.00Current price is: $10.00.
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Python Data Analysis: NumPy & Pandas Masterclass
★★★★★
$84.99
in stock
Udemy.com
as of June 9, 2025 8:06 am
Learn NumPy + Pandas for data analysis, data science & business intelligence, w/ a top Python data science instructor!

Created by:
Maven Analytics
Empowering everyday people with life-changing data skills
Empowering everyday people with life-changing data skills

Created by:
Chris Bruehl
Lead Python Instructor at Maven Analytics
Lead Python Instructor at Maven Analytics
Rating:4.69 (2027reviews)
17271students enrolled
What Will I Learn?
- Master the essentials of NumPy and Pandas, two of Python's most powerful data analysis packages
- Learn how to explore, transform, aggregate and join NumPy arrays and Pandas DataFrames
- Analyze and manipulate dates and times for time intelligence and time-series analysis
- Visualize raw data using plot methods and common chart options like line charts, bar charts, scatter plots and histograms
- Import and export flat files, Excel workbooks and SQL database tables using Pandas
- Build powerful, practical skills for modern analytics and business intelligence
Requirements
- We'll use Anaconda & Jupyter Notebooks (a free, user-friendly coding environment)
- Familiarity with base Python is strongly recommended, but not a strict prerequisite
Target audience
- Analysts or BI professionals looking to learn data analysis with NumPy and Pandas
- Aspiring data scientists who want to build or strengthen their Python skills
- Anyone interested in learning one of the most popular open source programming languages in the world
- Students looking to learn powerful, practical skills with unique, hands-on projects and course demos
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