Udemy Data Science and Python - Maths models Stats PLUS Case Study

Files Included :

1 - Introduction.mp4 (71.23 MB)
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2 - Your Data Science Journey - Wipeboard Overview Lesson Of Key Topics.mp4 (582.97 MB)
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4 - Let's Celebrate Your Progress In This Course 25% 50% 75% 100%.mp4 (11.94 MB)
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5 - Preview AND Download The 135 Page Data Science Workbook In This Course.mp4 (33.83 MB)
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37 - Spread of data discussion and interquartile range.mp4 (63.05 MB)
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38 - Interquartile range and inputting data.mp4 (25.47 MB)
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39 - Variance averaged deviation on the mean.mp4 (28.62 MB)
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40 - Calculating variance and discussing other factors.mp4 (56.6 MB)
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41 - Discussing degree of freedom based on variables and calculation.mp4 (91.63 MB)
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42 - Introduction to probability and overview of the lesson.mp4 (102.91 MB)
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43 - Getting Conditional Probability based on example.mp4 (58.05 MB)
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44 - Continuation of example based on students data on probability.mp4 (43.66 MB)
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45 - Make a new column for absences and column for pivot table.mp4 (63.18 MB)
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46 - Calculating and encoding of the result of condition probability of students.mp4 (74.55 MB)
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47 - Learn what is Inferential statistics and other factors.mp4 (119.19 MB)
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48 - Learn what is Distribution and Probability Density.mp4 (51.93 MB)
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49 - Learn Gausion Distribution and other factors.mp4 (48.13 MB)
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50 - Define distribution parameters and graphing normal distribution.mp4 (46.28 MB)
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51 - Learn PDF and CDF - Cumulative Distribution Function.mp4 (51.26 MB)
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52 - Learn what is Correlation Coefficient, Z score, and Z test.mp4 (37.61 MB)
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53 - Calculating Z scores and other factors.mp4 (37.51 MB)
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54 - What does Z scores tell you.mp4 (48.9 MB)
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55 - Learn Z test and finding percentage under the curve.mp4 (46.17 MB)
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56 - Getting the mean, getting data, hypothesis and comparing mean.mp4 (98.17 MB)
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57 - Comparing Mean and Variable discussion.mp4 (62.79 MB)
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58 - Continuing Z test, Calculating P test and continuing steps on Z test.mp4 (49.99 MB)
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59 - Doing small Z test, Stats, and discussing other factors.mp4 (35.44 MB)
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60 - Learn what is Null Hypothesis, run Z test, finding and defining P value.mp4 (57.89 MB)
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61 - Calculating P value and learning other factors on P value.mp4 (96.66 MB)
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62 - Learn what is T test, Diamond data test and mean of concerned value.mp4 (68.21 MB)
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63 - Learn how to import data set, t test and learning other factors.mp4 (82.48 MB)
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64 - Learn what is correlation coefficients, scatter plot , calculation.mp4 (59.15 MB)
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65 - Getting scatter plot data correlation and other factors.mp4 (45.11 MB)
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66 - You've Achieved 50% Let's Celebrate Your Progress And Keep Going To 75%.mp4 (4.29 MB)
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67 - Correlation coefficient matrix, two types of method and other factors.mp4 (121.15 MB)
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6 - Facilitator Welcome Message.mp4 (62.61 MB)
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7 - Data and Information Concept.mp4 (120.29 MB)
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68 - Learn what is chi squared test and discussing based on example data.mp4 (72.26 MB)
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69 - Chi square test , getting data set and discussing other factor.mp4 (56.9 MB)
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70 - Chi square contingency method discussion and result on data chi square test.mp4 (85.63 MB)
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71 - Learn Data Preprocessing in Python – Step 1 Importing the libraries.mp4 (105.28 MB)
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72 - Learn Data Preprocessing in Python – Step 2 importing data set.mp4 (60.71 MB)
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73 - Learn Data Preprocessing in Python – Step 3 handling the missing values.mp4 (54.19 MB)
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74 - Learn Data Preprocessing in Python – Step 3 continuation and other factors.mp4 (67.23 MB)
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75 - Learn Data Preprocessing in Python – Step 4 Encoding categorical data.mp4 (107.88 MB)
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76 - Learn Data Preprocessing in Python – step 4 label encoding and other factor.mp4 (41.18 MB)
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77 - Learn Data Preprocessing in Python – step 5 Normalizing the data set.mp4 (30.12 MB)
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78 - Learn Data Preprocessing in Python – step 6 Splitting the data set.mp4 (80.11 MB)
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79 - Learn what is numpy and pandas and The numpy ndarray A multidimensional.mp4 (72.75 MB)
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80 - Learn Checking Array and Dimension Shape and Discussing on Encode Window.mp4 (85.95 MB)
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81 - Learn panda series and creating a panda series.mp4 (45.65 MB)
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82 - Learn data frame on panda series and know how to use reindex function.mp4 (67.01 MB)
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83 - Learn Pandas Dataframe and learn other factors.mp4 (90.82 MB)
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84 - Learn what is data visualization.mp4 (57.83 MB)
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85 - Learn why is data visualization is important and how to use it.mp4 (30.92 MB)
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86 - Learn plotting libraries and know its steps.mp4 (61.93 MB)
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87 - Learning Plotting libraries Step 1 and learn from example.mp4 (82.57 MB)
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88 - Learning Plotting libraries Step 2,3,4,5 and 6.mp4 (76.19 MB)
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100 - Sklearn import metrics and getting the final data on linear regression.mp4 (66.68 MB)
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101 - You've Achieved 75% Let's Celebrate Your Progress And Keep Going To 100%.mp4 (4.7 MB)
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89 - Learn what is machine learning.mp4 (40.92 MB)
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90 - Learn Examples of Learning Problems, Research Fields, and Applications.mp4 (42.89 MB)
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91 - Discussing the Learning Problem.mp4 (33.06 MB)
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92 - Learn what is Prediction and its examples.mp4 (53.79 MB)
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93 - Learn Parametric Methods and Algorithm Trade Off.mp4 (39.29 MB)
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94 - Supervised and Unsupervised Learning Terminology, Regression vs Classificatition.mp4 (47.54 MB)
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95 - Assessing model accuracy, Bias and Variance learning of methods and Test MS.mp4 (38.86 MB)
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96 - Doing linear regression on code window.mp4 (51.45 MB)
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97 - Doing scatter plot method to get linear regression and learning other facto.mp4 (51.08 MB)
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98 - Fom sklearn linear model to linear regression regressor.mp4 (43.48 MB)
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99 - Finding intercept regression or regressor and learning other factor.mp4 (46.81 MB)
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102 - Learning Classification and Concept on learning.mp4 (141.36 MB)
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103 - Learn machine learning areas and Important concepts.mp4 (71.57 MB)
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104 - Example of spam filter, Label data and unlabeled data, Training vs error.mp4 (70.01 MB)
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105 - Classification has 2 step process, Issues Data preparation.mp4 (37.01 MB)
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106 - Learning decision trees and sample problem.mp4 (51.65 MB)
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107 - Learn Decision Tree Induction – Training dataset and discussing examples.mp4 (76.49 MB)
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108 - Doing decision tree classification on Python.mp4 (54.39 MB)
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109 - Importing some libraries and data and learn factors.mp4 (64.11 MB)
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110 - Continuation with understanding the data and discussing the factors of it.mp4 (49.02 MB)
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111 - Checking on train test split and creating decision tree classified.mp4 (45.66 MB)
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112 - Solution on tree plot tree too interpret data and what is Gini index.mp4 (93.88 MB)
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10 - Prerequisites and Questions for a Data Scientist.mp4 (105.36 MB)
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11 - Questions on applying as a Data Scientist – Statistics and Data Domain.mp4 (65.21 MB)
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12 - Prerequisite on Business Intelligence and discussing tools on Data Science.mp4 (88.63 MB)
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8 - Difference between Business Intelligence and Data Science.mp4 (109.78 MB)
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9 - Business Intelligence vs Data Science based on parameters factors.mp4 (33.1 MB)
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113 - Unsupervised Learning Clustering.mp4 (87.55 MB)
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114 - Learn K means Clustering and Algorithm.mp4 (50.07 MB)
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115 - Learn Stopping Convergence Criterion giving examples and Algorithm K means.mp4 (68.02 MB)
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116 - Strength and weakness of K means and discussing other factors.mp4 (61.85 MB)
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117 - Learn how clustering K means method works and learning other factors.mp4 (56.24 MB)
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118 - Combining data processing and getting data and encoding other factors.mp4 (47.98 MB)
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119 - Label encoding code to use, data encoding, using transform.mp4 (57.79 MB)
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120 - Doing cluster and using sklearn on it and encoding other factors.mp4 (50.78 MB)
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121 - Continuation of K-means clustering and other factor on coding Python.mp4 (70.8 MB)
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122 - Preview on Data in sales and other factors and topic.mp4 (97.88 MB)
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123 - Data science use cases in sales , Case study – future sales prediction.mp4 (58.6 MB)
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124 - Describing the data on mean standard deviation and other factors.mp4 (53.01 MB)
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125 - Load data, Removing the index column and Relationship between Predictor.mp4 (66.39 MB)
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126 - Accuracy, MSE, RMSE, RSquare, Seaborn Library.mp4 (94.66 MB)
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127 - Learn machine learning model building.mp4 (95.15 MB)
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128 - Evaluation metrics and different evaluation matrix and confusion matrix.mp4 (84.2 MB)
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129 - Learn TP,TN,FP and FN of Confusion Matrix and Discussing accuracy.mp4 (89.6 MB)
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130 - Learn what is precision , recall and F1 score.mp4 (123.88 MB)
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131 - Learn Classification report and calculation on encoding window on Python.mp4 (74.83 MB)
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132 - You've Achieved 100% Let's Celebrate Remember To Share Your Certificate.mp4 (9.72 MB)
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133 - Introduction of the guest speaker.mp4 (51.42 MB)
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134 - Perspective on other courses as one on data science and other courses.mp4 (147.89 MB)
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135 - Basic level of understanding about machines.mp4 (107.82 MB)
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136 - Pairing with physics and statistical major is good foundation for data science.mp4 (37.12 MB)
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137 - Having an overview on machine learning and the course.mp4 (77.62 MB)
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138 - Statistics on data science.mp4 (50.03 MB)
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139 - Learn how could data science be part on marketing.mp4 (53.73 MB)
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140 - Which do you find more comfortable for automation, Phython or UiPath.mp4 (45.26 MB)
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141 - Thoughts and overview on the Python course.mp4 (51.22 MB)
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142 - Can data science help predict the stock price.mp4 (63.04 MB)
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143 - Can phyton be used to sort through the data.mp4 (77.34 MB)
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144 - How does statistics relate to data science and it is used in business.mp4 (61.76 MB)
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145 - Game theory that are involved, and its application to the field of data science.mp4 (43.75 MB)
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146 - Education and games thoughts on the course.mp4 (124.66 MB)
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147 - Full 1 Hour Live Data Science Webinar With Terence Govender from Regenesys.mp4 (1015.85 MB)
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13 - Learn Types of Data Acquisition.mp4 (127.89 MB)
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14 - Data Preparation, Exploration, and its factors.mp4 (133.26 MB)
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15 - Learn Process of Data Science.mp4 (41.67 MB)
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16 - Know Career Aspects for a Data Scientist.mp4 (150.73 MB)
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17 - Demand and Challenges for Data Scientists.mp4 (78.79 MB)
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18 - Discussion of Mathematical and Statistical Concepts and Examples.mp4 (140.41 MB)
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19 - Discussing Variables – Numerical and Categorical.mp4 (61.42 MB)
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20 - Discussing Qualitative Variables and Central Tendency.mp4 (33.54 MB)
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21 - Dispersion and Descriptive vs Inferential Statistics Discussion.mp4 (65.8 MB)
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22 - Learn Descriptive and Inferential Statistics and its factors.mp4 (113.68 MB)
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23 - Descriptive Statistics, Examples and steps on installing Anaconda.mp4 (71.43 MB)
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24 - Steps to follow after installing Anaconda.mp4 (59.33 MB)
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25 - Using Jupyter on Anaconda Application.mp4 (41.55 MB)
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26 - Learn how to use Jupyter application.mp4 (26.16 MB)
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27 - Continuation of Jupyter application, explanation, and discussion.mp4 (50.81 MB)
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28 - Getting data and putting data on Jupyter.mp4 (33.45 MB)
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29 - Minimizing data to be see on Jupyter app and bringing data from Excel.mp4 (36.15 MB)
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30 - Explaining modes used on Jupyter app on Data statistics and Analysis.mp4 (49.48 MB)
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31 - Variables – continues and categorical variable.mp4 (27.94 MB)
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32 - Inputting and typing data on Jupyter app.mp4 (49.68 MB)
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33 - You've Achieved 25% Let's Celebrate Your Progress And Keep Going To 50%.mp4 (3.63 MB)
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34 - Getting mean data on Jupyter based on example.mp4 (37.14 MB)
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35 - How to summarize data of median and mean.mp4 (41.08 MB)
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36 - Inputting quantiles data and explaining other factors.mp4 (94.29 MB)
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