Edureka Python And Statistics Foundations 2025

0dayddl · Samstag um 06:13

2.03 GB | 00:07:33 | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English

Files Included :

01-specialization introduction.mp4 (21.47 MB)
03-course introduction.mp4 (15.57 MB)
06-programming language and myths.mp4 (25.7 MB)
07-python for ai ml code simpliCity.mp4 (21.82 MB)
08-python for ai ml ease of learning.mp4 (20.2 MB)
09-python tokens types.mp4 (17.19 MB)
10-literals.mp4 (36.17 MB)
11-operators basic operators.mp4 (71.05 MB)
12-operators membership and identity operators.mp4 (33.32 MB)
01-explaining data types in python.mp4 (10.74 MB)
02-demonstration of data types numeric sequence and mapping.mp4 (53.5 MB)
01-executing conditional statement.mp4 (31.4 MB)
02-demonstration of if else statement.mp4 (22.25 MB)
03-executing while loop.mp4 (20.16 MB)
04-demonstration of for loop.mp4 (29.5 MB)
05-looping multiple conditions.mp4 (22.93 MB)
01-file handling.mp4 (26.08 MB)
03-manipulating files.mp4 (47.77 MB)
04-user defined functions.mp4 (47.71 MB)
05-variable argument and variable keyword argument.mp4 (27.71 MB)
06-lambda functions.mp4 (38.4 MB)
07-more on functions and arguments.mp4 (32.09 MB)
08-modules in python.mp4 (17.74 MB)
09-demonstration of modules.mp4 (26.99 MB)
01-summary of python essentials.mp4 (9.68 MB)
02-exploring numpy.mp4 (20.32 MB)
03-numpy operation.mp4 (44.53 MB)
04-working with numpy.mp4 (48.82 MB)
02-pandas framework.mp4 (26.66 MB)
03-pandas dataframe operation.mp4 (47.06 MB)
04-working with dataframes in pandas.mp4 (37.19 MB)
05-dataframes with pandas operations and insights.mp4 (43.72 MB)
06-creating a series in pandas.mp4 (44.66 MB)
07-working with pandas series.mp4 (28.95 MB)
01-dataframe data maniplulation.mp4 (36.41 MB)
02-dataframe joining.mp4 (46.44 MB)
03-dataframe grouping the data.mp4 (32.52 MB)
04-dataframe data cleaning.mp4 (30.31 MB)
05-dataframe data adjusting.mp4 (34.82 MB)
03-matplotlib library.mp4 (29.39 MB)
04-plotting charts with matplotlib.mp4 (26.47 MB)
05-plotting histogram and box plot.mp4 (14.15 MB)
06-plotting multiple charts.mp4 (39.91 MB)
07-introduction to seaborn scatter plot.mp4 (37.61 MB)
08-basic charts in seaborn.mp4 (31.38 MB)
09-seaborn heatmap manipulation.mp4 (12.69 MB)
10-seaborn flights dataset.mp4 (26.21 MB)
11-seaborn gaining insights in flight data.mp4 (32.94 MB)
12-visualizing charts with plotly.mp4 (25.59 MB)
13-customizing different charts in plotly.mp4 (33.08 MB)
01-summary exploring numpy and pandas in python.mp4 (8.48 MB)
02-what is statistics.mp4 (24.24 MB)
03-measures of central tendency.mp4 (31.19 MB)
04-managing statistical data.mp4 (33.27 MB)
05-exploring and analyzing data.mp4 (23.21 MB)
01-measures of dispersion.mp4 (27.46 MB)
02-dispersion demonstration.mp4 (36.9 MB)
03-application of dispersion in large data.mp4 (12.54 MB)
02-probability sample space and events.mp4 (23.53 MB)
03-need for probability.mp4 (14.28 MB)
04-types of probability.mp4 (19.52 MB)
05-marginal and joint probability demonstration.mp4 (24.44 MB)
06-conditional probability demonstration.mp4 (25.08 MB)
02-what is hypothesis testing.mp4 (25.63 MB)
03-steps for hypothesis testing.mp4 (16.87 MB)
04-null and alternate hypothesis.mp4 (30.05 MB)
05-statistical test interpretation.mp4 (28.52 MB)
06-one tailed and two tailed test.mp4 (24.22 MB)
07-hypothesis testing demonstration.mp4 (31.72 MB)
08-margin of error and confidence interval demonstration.mp4 (49.57 MB)
01-summary statistical analysis with python.mp4 (10.45 MB)
01-course summary python and statistics foundations.mp4 (14.17 MB)

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