Data Analytics with Python
$49.00
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Data Analysis
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Data Analytics
- Material(DS01_01_Numpy package.ipynb)
- 01_Introduction to Data Analyst Role
- 02_about_numpy
- 03_ Create 1D array
- 04_Reading 1D array
- 05_arrays_are_Mutable
- 06_About Iris Data Set
- 07_Create 1d array from column or Series
- 08_Create 2D array
- 09_Create 2D array from table or data frame
- 10_Create 2D array from Black and white image
- 11_Create 3D array
- 12_Create 4D array
- 13_Why we need to learn Numpy array
- 14_Numpy array homogeneous multidimensional array
- 15_NumPy array occupies less memory
- Material(DS01_02_Numpy package.ipynb)
- 16_Working with Basic Statistics
- 17_Standard Deviation Maths
- 18_Standard Deviation calculation with python code
- 19_Standard Deviation to find outliers
- 20_random sample
- 21 random bytes
- 22 random integers
- 23 permutations
- 24 Shuffle
- 25 Seed
- 26 Choice
- 27 Normal Distribution
- 29 Binomial
- 30_Working with linear algebra
- 31_Multiply two matrices
- 32_Inverse of a matrix
- 33_sort
- 34_unique
- 35_Set Operations
- 36_Broadcasting
- 37_Read or Write to Disk
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Pandas
- Material(DS02_01_Pandas Package for Data Analysis.ipynb)
- 38_02_Pandas Introduction
- 39_02_Read Data Frame Method 1
- 40_02_Read Data Frame Method 2
- 41_02_Read Data Frame using label
- 42_02_Read Data Frame using Integer Location
- 43_02_Create dataframe from another dataframe
- 44_02_Create Series from dataframe
- 45_02_Understand Spliting Machine Learning Input and output
- Material(DS02_02_Pandas Filtering DataFrame.ipynb)
- 46_02_Apply Filters on DataFrame
- 47_02_Deep_copy_shallow_copy of dataframe
- 48_02_add one new column to dataframe
- 49_02_Working with all and any with nans
- 50_02_Drop samples with any nans
- 51_02_Working with all and any with zeros
- 52_02_Replace NaN with some value
- Material(DS02_03_Pandas Transformation DataFrame.ipynb)
- 53_02_Convert all metrics into dozens
- 54_02_Convert all metrics into dozens part2
- 55_02_About Indexes
- 56_02_add_two_columns
- Material(DS02_04_Pandas_Advanced_Indexes_DataFrame.ipynb)
- 57_02_Create index manually and by importing from file
- 58_02_Hierarchical indexing
- Material(DS02_05_Pandas_pivot_stack_unstack.ipynb)
- 59_02_Pivot
- 60_02_unstack_stack
- Material(DS02_06_Pandas_groupby_aggregations.ipynb)
- 61_02_Groupby and Aggregations part 1
- 62_02_Groupby and Aggregations part 2
- 63_02_Groupby and Aggregations part 3
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Matplotlib Data Visualization
- Material(DS03_01_Data_Visualization_Using_Matplotlib.ipynb)
- 64_03_Matplotlib Data Visualization
- 65_03_plot_part1
- 66_03_plot_part2
- 67_03_Scatter_Graph
- 68_03_Histogram_Graph
- 69_03_Histogram_Graph part 2
- 70_Multiple plots on single axis
- 71_Different line plots using subplot
- 72_xlim_ylim_and_axis
- 73_legend
- 74_03_Using annotate
- 75_03_Modifying styles
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About Flat Files
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Importing and exporting to Excel
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Import SAS and STATA Files
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Import HDF5 Files
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Import from Relational Database Sqlite
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DBeaver Universal Database Tool
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Working with Mongo NoSQL databse Introduction
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Import files from web
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Import data using Open Movie Database APIs
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Import data from Wikipedia and Twitter using API
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ETL Introduction
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Concat DataFrames and Glob Module
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Join or Merge two DataFrames
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Converting object data type
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Regular Expressions Introduction
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Correlation