Data Science Foundations - Dive into Python and NumPy for Powerful Insights
This comprehensive course is your gateway to the world of data science!
You'll delve into the essentials of data manipulation, analysis, and visualization using Python and NumPy, two of the most powerful tools in the field.
Learn to handle large datasets with ease, perform complex calculations, and uncover valuable insights.
You'll explore key techniques for data cleaning, transformation, and exploration, and develop the ability to create compelling plots and charts that effectively convey your findings.
Whether you're just starting out or aiming to advance your career as a data scientist, this course will provide you with the foundational skills and knowledge needed to thrive in the data-driven world.
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 Course Intro (5:11)
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Start01 Intro to NumPy (6:20)
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Start02 Installing NumPy (3:59)
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Start03 Creating NumPy Arrays (16:55)
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Start04 Creating NumPy Matrices (11:57)
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Start05 Getting and Setting NumPy Elements (16:59)
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Start06 Arithmetic Operations on NumPy Arrays (11:56)
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Start07 NumPy Functions Part 1 (19:13)
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Start08 NumPy Functions Part 2 (12:36)
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Start09 Summary and Outro (3:01)
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StartNumPy_Code
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StartNumPy Slides
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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 (13:04)
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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 Modification (36:24)
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Start13 DataFrame Operations (20:09)
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Start14 DataFrame Comparisons and Iteration (15:35)
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Start15 Reading CSVs (12:00)
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Start16 Summary and Outro (4:14)
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Start17 Pandas Practice CSV
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StartPandas_Code
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StartPandas Slides
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Start00 Course Intro (6:05)
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Start01 Quick Intro to Machine Learning (9:01)
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Start02 Deep Dive into Machine Learning (6:01)
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Start03 Problems Solved with Machine Learning Part 1 (13:26)
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Start04 Problems Solved with Machine Learning Part 2 (16:25)
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Start05 Types of Machine Learning (10:15)
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Start06 How Machine Learning Works (23:20)
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Start07 Common Machine Learning Structures (13:51)
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Start08 Steps to Build a Machine Learning Program (16:34)
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Start09 Summary and Outro (2:49)
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StartIntro to Machine Learning Slides