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Enabling Learning Through Insight!

Intro Part 2

Back to: The Data Science Course 2020 Q3 Updated: Part 4 > Python & R

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Intro Part 1
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  • Lessons

    • Python Programming Introduction
      • Intro Part 1
      • Intro Part 2
      • Intro Part 3
      • Anaconda and Jupyter Installation
    • Python : Basic Programs, Data Types, Arrays, Set functions, Dictionaries & Conditional Statements 
      • Basic Programs Using Jupyter
      • Datatypes
      • Python Collections – Arrays
      • Set function and Dictionaries
      • Conditional Statements: IF Elif Else
    • Python: Numpy & Pandas
      • Numpy Fundas
      • Numpy Arrays Part 1
      • Numpy Arrays Part 2
      • Pandas
      • Play with Data using Numpy & Pandas
    • Python: Modified Index, Data Frames Merging & Concatenating
      • Modified Index
      • Data Frames Merging & Concatenating
    • R Programming
      • Introduction
      • Intro Contd
      • Datatypes>Factor
      • Converting Factor Datatypes
      • Factor to Numeric, Logical to Numeric Datatypes
      • Character to Logical/Numeric/Factor
      • Create, Name, Modify & Arithmetic operations of Vectors
      • Functions >Which, Rep, Seq and dealing with missing values
      • Matrix creation, Accessing Matrix elements & Modification
      • Matrix Contd
      • Creating a Dataframe, cbind, rbind, stack & unstack data
      • Sub-setting the data using With and Subset functions
      • Create simple function with and without passing arguments
      • Packages scatterplot3d and rgl
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