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Data Analysis 8
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DA01 Numpy Class 1Lecture1.1
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DA02 Numpy Class 2Lecture1.2
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DA03 Numpy Class 3Lecture1.3
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DA04 Pandas Class 1Lecture1.4
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DA05 Pandas Class 2Lecture1.5
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DA06 Pandas Class 3Lecture1.6
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DA07 Pandas Class 4Lecture1.7
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DA08 Matplotlib Class 1Lecture1.8
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Data Analytics 25
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Material(DS01_01_Numpy package.ipynb)Lecture2.1
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01_Introduction to Data Analyst Role 15 minLecture2.2
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02_about_numpy 15 minLecture2.3
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03_ Create 1D arrayLecture2.4
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04_Reading 1D array 15 minLecture2.5
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05_arrays_are_Mutable 15 minLecture2.6
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06_About Iris Data Set 15 minLecture2.7
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07_Create 1d array from column or Series 15 minLecture2.8
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08_Create 2D array 15 minLecture2.9
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09_Create 2D array from table or data frame 15 minLecture2.10
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10_Create 2D array from Black and white image 15 minLecture2.11
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11_Create 3D array 15 minLecture2.12
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12_Create 4D array 15 minLecture2.13
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13_Why we need to learn Numpy array 15 minLecture2.14
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14_Numpy array homogeneous multidimensional array 15 minLecture2.15
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15_NumPy array occupies less memory 15 minLecture2.16
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Material(DS01_02_Numpy package.ipynb)Lecture2.17
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16_Working with Basic Statistics 15 minLecture2.18
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17_Standard Deviation Maths 15 minLecture2.19
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18_Standard Deviation calculation with python code 15 minLecture2.20
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19_Standard Deviation to find outliers 15 minLecture2.21
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20_random sample 15 minLecture2.22
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21 random bytes 15 minLecture2.23
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22 random integersLecture2.24
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23 permutations 15 minLecture2.25
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24 Shuffle 15 minLecture2.26
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25 Seed 15 minLecture2.27
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26 Choice 15 minLecture2.28
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27 Normal Distribution 15 minLecture2.29
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29 Binomial 15 minLecture2.30
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30_Working with linear algebra 15 minLecture2.31
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31_Multiply two matrices 15 minLecture2.32
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32_Inverse of a matrix 15 minLecture2.33
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33_sort 15 minLecture2.34
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34_unique 15 minLecture2.35
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35_Set Operations 15 minLecture2.36
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36_Broadcasting 15 minLecture2.37
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37_Read or Write to Disk 15 minLecture2.38
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Pandas 31
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Material(DS02_01_Pandas Package for Data Analysis.ipynb)Lecture3.1
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38_02_Pandas Introduction 15 minLecture3.2
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39_02_Read Data Frame Method 1 15 minLecture3.3
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40_02_Read Data Frame Method 2 15 minLecture3.4
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41_02_Read Data Frame using labelLecture3.5
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42_02_Read Data Frame using Integer Location 15 minLecture3.6
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43_02_Create dataframe from another dataframe 15 minLecture3.7
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44_02_Create Series from dataframe 15 minLecture3.8
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45_02_Understand Spliting Machine Learning Input and outputLecture3.9
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Material(DS02_02_Pandas Filtering DataFrame.ipynb)Lecture3.10
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46_02_Apply Filters on DataFrame 15 minLecture3.11
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47_02_Deep_copy_shallow_copy of dataframe 15 minLecture3.12
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48_02_add one new column to dataframe 15 minLecture3.13
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49_02_Working with all and any with nans 15 minLecture3.14
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50_02_Drop samples with any nans 15 minLecture3.15
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51_02_Working with all and any with zeros 15 minLecture3.16
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52_02_Replace NaN with some value 15 minLecture3.17
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Material(DS02_03_Pandas Transformation DataFrame.ipynb)Lecture3.18
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53_02_Convert all metrics into dozens 15 minLecture3.19
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54_02_Convert all metrics into dozens part2 15 minLecture3.20
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55_02_About Indexes 15 minLecture3.21
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56_02_add_two_columns 15 minLecture3.22
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Material(DS02_04_Pandas_Advanced_Indexes_DataFrame.ipynb)Lecture3.23
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57_02_Create index manually and by importing from file 15 minLecture3.24
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58_02_Hierarchical indexing 15 minLecture3.25
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Material(DS02_05_Pandas_pivot_stack_unstack.ipynb)Lecture3.26
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59_02_Pivot 15 minLecture3.27
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60_02_unstack_stack 15 minLecture3.28
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Material(DS02_06_Pandas_groupby_aggregations.ipynb)Lecture3.29
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61_02_Groupby and Aggregations part 1 15 minLecture3.30
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62_02_Groupby and Aggregations part 2Lecture3.31
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63_02_Groupby and Aggregations part 3 15 minLecture3.32
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Matplotlib Data Visualization 13
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Material(DS03_01_Data_Visualization_Using_Matplotlib.ipynb)Lecture4.1
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64_03_Matplotlib Data Visualization 15 minLecture4.2
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65_03_plot_part1 15 minLecture4.3
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66_03_plot_part2 15 minLecture4.4
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67_03_Scatter_Graph 15 minLecture4.5
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68_03_Histogram_Graph 15 minLecture4.6
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69_03_Histogram_Graph part 2 15 minLecture4.7
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70_Multiple plots on single axis 15 minLecture4.8
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71_Different line plots using subplotLecture4.9
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72_xlim_ylim_and_axis 15 minLecture4.10
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73_legend 15 minLecture4.11
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74_03_Using annotate 15 minLecture4.12
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75_03_Modifying styles 15 minLecture4.13
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About Flat Files 7
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Material(DS04_01_Import_Data_From_FlatFiles.ipynb)Lecture5.1
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76_04_About Flat Files 15 minLecture5.2
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77_04_Working with open Function 15 minLecture5.3
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78_04_with_conjugate 15 minLecture5.4
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79_04_Numpy_loadtxt_genfromtxt 15 minLecture5.5
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80_04_Importing mixed data types using pandas package 15 minLecture5.6
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81_04_Import file using pandas in customized format 15 minLecture5.7
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Importing and exporting to Excel 3
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Material(DS04_02_Import_Data_From_Excel.ipynb)Lecture6.1
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82_05_Importing and exporting to Excel 15 minLecture6.2
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83_05_xlsxwriter package for excel 15 minLecture6.3
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Import SAS and STATA Files 2
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Material(DS04_03_Import_Data_From_SAS_and_STATA_Files.ipynb)Lecture7.1
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84_06_Import SAS and STATA Files 15 minLecture7.2
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Import HDF5 Files 2
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Material(DS04_04_Import_Data_From_HDF5_File.ipynb)Lecture8.1
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85_07_Import HDF5 Files 15 minLecture8.2
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Import from Relational Database Sqlite 3
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Material(DS04_05_00_Imort_data_from_Sqlite.ipynb)Lecture9.1
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86_08_Import from Relational Database Sqlite part 1 15 minLecture9.2
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87_08_Import from Relational Database Sqlite part 1 15 minLecture9.3
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DBeaver Universal Database Tool 6
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Material(DS04_05_01_Imort_data_from_mysql.ipynb)Lecture10.1
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88_09_DBeaver Universal Database Tool 15 minLecture10.2
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89_09_Working with MySql Database Part 1 15 minLecture10.3
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90_09_Working with MySql Database part 2 15 minLecture10.4
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91_09_Working with MySql Database With Conjugator and pandas 15 minLecture10.5
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92_09_Working with MySql Database using MySql Connector 15 minLecture10.6
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Working with Mongo NoSQL databse Introduction 7
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Material(DS04_05_02_Imort_data_from_Mongo.ipynb)Lecture11.1
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93_10_Working with Mongo NoSQL databse Introduction 15 minLecture11.2
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94_10_List Databases of Mongo DB 10 minLecture11.3
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95_10_Create a new DataBase Collection and Documents 15 minLecture11.4
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96_10_Create users in DataBase 15 minLecture11.5
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97_10_Read mongo collection in DataFrame format 15 minLecture11.6
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98_10_Studio 3T for MongoDB 15 minLecture11.7
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Import files from web 3
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Material(DS04_06_Import_data_from_web_data.ipynb)Lecture12.1
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99_11_Import files from web 15 minLecture12.2
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100_11_Working with web files without saving locally 15 minLecture12.3
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Import data using Open Movie Database APIs 1
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Material(DS04_10_Import_data_from_Movie_and_Wikipedia_APIs.ipynb)Lecture13.1
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101_12_Import data using APIs 15 minLecture13.2
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Import data from Wikipedia and Twitter using API 3
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Material(DS04_11_Import_data_from_twitter_API_tweepy.ipynb)Lecture14.1
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102_13_Import data from WIKI using API 15 minLecture14.2
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103_13_Import data from twitter using API 15 minLecture14.3
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ETL Introduction 6
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Material(DS05_01_ETL_Melt_Pivot_and_pivot_table.ipynb)Lecture15.1
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104_14_ETL Introduction 15 minLecture15.2
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105_14_ETL Melt part1 15 minLecture15.3
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106_14_ETL Melt part2 15 minLecture15.4
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107_14_ETL Pivot 15 minLecture15.5
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108_14_ETL Pivot Table 15 minLecture15.6
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Concat DataFrames and Glob Module 3
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Material(DS05_02_Concat_dfs_and_glob_module.ipynb)Lecture16.1
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109_15_Concat dataframes row wise 15 minLecture16.2
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110_16_Concat dataframes column wise 15 minLecture16.3
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Join or Merge two DataFrames 3
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Material(DS05_02_Merge_or_Join.ipynb)Lecture17.1
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112_16_Inner join two DataFrames 15 minLecture17.2
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113_16_Right Outer join two DataFrames 15 minLecture17.3
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Converting object data type 4
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Material(DS05_03_DataType_conversions.ipynb)Lecture18.1
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114_17_Converting object data type into Category Datatype 15 minLecture18.2
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115_17_Converting object datatype into Number Datatype 15 minLecture18.3
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116_17_Converting into Date and time 15 minLecture18.4
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Regular Expressions Introduction 6
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Material(DS05_04_Regular_Expressions.ipynb)Lecture19.1
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117_18_Regular Expressions Introduction 15 minLecture19.2
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118_18_Regular Expressions patterns part 2 15 minLecture19.3
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119_18_Regular Expressions patterns part1 15 minLecture19.4
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120_19_Dropping duplicate data 15 minLecture19.5
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121_19_Filling missing data 15 minLecture19.6
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Correlation 4
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Positive and Negative CorrelationLecture20.1
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No CorrelationLecture20.2
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Correlation MatrixLecture20.3
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MaterialLecture20.4
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