Data Analysis With Python Course Content

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Students for Data Analysis With Python requires 40 hours to Study / Complete the course


Data Analysis With Python Course Content

C Programming
C++ Programming

Python Course Module 01: NUMPY

  • Intro to numpy
  • Creating Arrays
  • Using arrays and scalars
  • Indexing Arrays
  • Array Transposition
  • Universal Array Function
  • Array Processing
  • Array Input and Output

Python Course Module 02: PANDAS

  • Series
  • DataFrames
  • Index Objects
  • Reindexing 
  • Drop Entry 
  • Selecting Entries 
  • Data Alignment 
  • Rank and Sort 
  • Summary Statistics 
  • Missing Data 
  • Index Hierarchy 

Python Course Module 03: READING & WRITING DATA 

  • Reading and Writing Text Files
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  • JSON with Python 
  • HTML with Python 
  • Excel with Python

Python Course Module 04: NUMPY

  • Merge
  •  
  • Merge on Index 
  • Concatenate
  •  
  • Combining DataFrames
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  • Reshaping 
  • Pivoting 
  • Duplicates in DataFrames
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  • Mapping
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  • Replace
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  • Rename Index
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  • Binning 
  • Outliers
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  • Permutation 
  • GroupBy on DataFrames 
  • Groupby on Dict and Series
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  • Aggregation
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  • Splitting, Applying and Combining
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  • Cross-Tabulation
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Python Course Module 05: DATA VISUALIZATION

  • Installing Seaborn 
  • Histograms
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  • Kernel Density Estimation Plots
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  • Combining Plot Styles
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  • Box and Violin Plots
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  • Regression Plots 
  • Heatmaps and Clustered Matrices