Data Science Foundations - Excel with 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 course 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 13 years, Mammoth Interactive has built a global student community with 6+ million courses sold. Mammoth Interactive has released over 350 courses and 3,500 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 PandasPracticeCSV
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StartPandas_Code
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StartPandas Slides
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Start00 Course Intro (5:30)
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Start01 Intro to Pyplot (5:11)
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Start02 Installing Matplotlib (5:51)
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Start03 Basic Line Plot (7:53)
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Start04 Customizing Graphs (10:47)
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Start05 Plotting Multiple Datasets (8:10)
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Start06 Bar Chart (6:26)
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Start07 Pie Chart (9:13)
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Start08 Histogram (10:14)
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Start09 3D Plotting (6:28)
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Start10 Course Outro (4:09)
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StartPyplot Code