Data Analysis for Everyone - Beginner’s Guide to Pandas and Python Essentials
Begin your data analysis journey with a comprehensive introduction to Pandas and Python!
This course is perfect for beginners, offering a strong foundation in data analysis using the powerful Pandas library.
You'll learn how to efficiently manipulate and analyze data, manage missing values, perform aggregations, and uncover valuable insights.
Through real-world datasets, you'll gain hands-on experience in data cleaning, exploration, and visualization.
With clear, step-by-step guidance and practical examples, you'll build the confidence and skills needed to tackle data analysis projects effectively.
Start today and unlock the full potential of Pandas and Python in your data analysis toolkit!
Your Instructor
This bundle is a collaborative effort between multiple Mammoth Instructors.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 14 years, Mammoth Interactive has built a global student community with 6+ million courses sold. Mammoth Interactive has released over 1,000 courses and 5,000 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.
Course Curriculum
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Start00 Panda Course Introduction (5:43)
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Start01 Intro to Pandas (7:55)
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Start02 Installing Pandas (5:28)
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Start03 Creating Pandas Series (20:34)
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Start04 Date Ranges (11:29)
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Start05 Getting Elements from Series (19:21)
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Start06 Getting Properties of Series (4:30)
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Start07 Modifying Series (19:02)
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Start08 Operations on Series (11:48)
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Start09 Creating Pandas DataFrames (22:57)
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Start10 Getting Elements from DataFrames (25:12)
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Start11 Getting Properties from DataFrames (17:44)
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Start12 DataFrame Operations (20:09)
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Start13 DataFrame Comparisons and Iteration (15:35)
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Start14 Reading CSVs (12:00)
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Start15 Summary and Outro (4:14)
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Start16 Pandas Slides
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Start17 Pandas_Code
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Start18 Pandas Practice CSV