Download Coursera | Python and Statistics Foundations 2025 Torrent

Torrent Contents Size: 2.03 GB

Coursera | Python and Statistics Foundations 2025

01-Python_Essentials

01-Programming_With_Python

01-specialization_introduction.mp4	MP4	21.47 MB
02-welcome_to_python_and_statistics_foundations_course_instructions.html	HTML	7.15 KB
03-course_introduction.mp4	MP4	15.57 MB
04-unlocking_python_the_language_for_every_developer_instructions.html	HTML	3.83 KB
05-python_installation_instructions.html	HTML	3.2 MB
06-programming_language_and_myths.mp4	MP4	25.7 MB
07-python_for_ai_ml_code_simplicity.mp4	MP4	21.82 MB
08-python_for_ai_ml_ease_of_learning.mp4	MP4	20.21 MB
09-python_tokens_types.mp4	MP4	17.19 MB
10-literals.mp4	MP4	36.17 MB
11-operators_basic_operators.mp4	MP4	71.05 MB
12-operators_membership_and_identity_operators.mp4	MP4	33.32 MB

02-Data_Types

01-explaining_data_types_in_python.mp4	MP4	10.74 MB
02-demonstration_of_data_types_numeric_sequence_and_mapping.mp4	MP4	53.5 MB
03-python_variables_instructions.html	HTML	442.23 KB
04-python_data_types_numerical_and_strings_instructions.html	HTML	6.88 KB
05-python_data_types_tuples_sets_and_dictionaries_instructions.html	HTML	5.16 KB

03-Conditional_Statements

01-executing_conditional_statement.mp4	MP4	31.4 MB
02-demonstration_of_if_else_statement.mp4	MP4	22.25 MB
03-executing_while_loop.mp4	MP4	20.16 MB
04-demonstration_of_for_loop.mp4	MP4	29.5 MB
05-looping_multiple_conditions.mp4	MP4	22.93 MB

04-Advanced_Functions_And_File_Handling

01-file_handling.mp4	MP4	26.08 MB
02-file_handling_basics_instructions.html	HTML	5.27 KB
03-manipulating_files.mp4	MP4	47.77 MB
04-user_defined_functions.mp4	MP4	47.71 MB
05-variable_argument_and_variable_keyword_argument.mp4	MP4	27.71 MB
06-lambda_functions.mp4	MP4	38.4 MB
07-more_on_functions_and_arguments.mp4	MP4	32.09 MB
08-modules_in_python.mp4	MP4	17.74 MB
09-demonstration_of_modules.mp4	MP4	26.99 MB

05-Module_Wrap_Up_And_Assessment

01-summary_of_python_essentials.mp4

MP4

9.68 MB

02-Exploring_Data_With_Numpy_And_Pandas

01-Numpy_With_Python

01-memory_and_performance_comparison_between_python_lists_and_numpy_arrays_instructions.html	HTML	4.97 KB
02-exploring_numpy.mp4	MP4	20.32 MB
03-numpy_operation.mp4	MP4	44.53 MB
04-working_with_numpy.mp4	MP4	48.82 MB

02-Data_Manipulation_Using_Pandas

01-data_manipulation_and_analysis_with_python_pandas_instructions.html	HTML	3.8 KB
02-pandas_framework.mp4	MP4	26.66 MB
03-pandas_dataframe_operation.mp4	MP4	47.06 MB
04-working_with_dataframes_in_pandas.mp4	MP4	37.19 MB
05-dataframes_with_pandas_operations_and_insights.mp4	MP4	43.72 MB
06-creating_a_series_in_pandas.mp4	MP4	44.66 MB
07-working_with_pandas_series.mp4	MP4	28.95 MB

03-Dataframes_In_Action

01-dataframe_data_maniplulation.mp4	MP4	36.41 MB
02-dataframe_joining.mp4	MP4	46.45 MB
03-dataframe_grouping_the_data.mp4	MP4	32.52 MB
04-dataframe_data_cleaning.mp4	MP4	30.31 MB
05-dataframe_data_adjusting.mp4	MP4	34.82 MB

04-Data_Visualization

01-data_visualization_fundamentals_instructions.html	HTML	5.71 KB
02-introduction_to_matplotlib_instructions.html	HTML	75.07 KB
03-matplotlib_library.mp4	MP4	29.39 MB
04-plotting_charts_with_matplotlib.mp4	MP4	26.47 MB
05-plotting_histogram_and_box_plot.mp4	MP4	14.15 MB
06-plotting_multiple_charts.mp4	MP4	39.91 MB
07-introduction_to_seaborn_scatter_plot.mp4	MP4	37.61 MB
08-basic_charts_in_seaborn.mp4	MP4	31.38 MB
09-seaborn_heatmap_manipulation.mp4	MP4	12.7 MB
10-seaborn_flights_dataset.mp4	MP4	26.21 MB
11-seaborn_gaining_insights_in_flight_data.mp4	MP4	32.94 MB
12-visualizing_charts_with_plotly.mp4	MP4	25.59 MB
13-customizing_different_charts_in_plotly.mp4	MP4	33.08 MB

05-Module_Wrap_Up_And_Assessment

01-summary_exploring_numpy_and_pandas_in_python.mp4

MP4

8.48 MB

03-Statistics_In_Python

01-Comprehending_Statistics

00. Support - Onehack.Us.txt	TXT	94 B
01-the_importance_of_statistics_in_data_interpretation_instructions.html	HTML	5.09 KB
02-what_is_statistics.mp4	MP4	24.24 MB
03-measures_of_central_tendency.mp4	MP4	31.19 MB
04-managing_statistical_data.mp4	MP4	33.27 MB
05-exploring_and_analyzing_data.mp4	MP4	23.21 MB

02-Statistical_Dispersion

01-measures_of_dispersion.mp4	MP4	27.46 MB
02-dispersion_demonstration.mp4	MP4	36.9 MB
03-application_of_dispersion_in_large_data.mp4	MP4	12.54 MB

03-Probability_Foundation

01-introduction_to_probability_instructions.html	HTML	444.65 KB
03-need_for_probability.mp4	MP4	14.28 MB
04-types_of_probability.mp4	MP4	19.52 MB
05-marginal_and_joint_probability_demonstration.mp4	MP4	24.44 MB
06-conditional_probability_demonstration.mp4	MP4	25.08 MB

04-Hypothesis_Testing

00. Support - Onehack.Us.txt	TXT	94 B
01-introduction_to_hypothesis_testing_instructions.html	HTML	36.67 KB
02-what_is_hypothesis_testing.mp4	MP4	25.63 MB
03-steps_for_hypothesis_testing.mp4	MP4	16.87 MB
04-null_and_alternate_hypothesis.mp4	MP4	30.05 MB
05-statistical_test_interpretation.mp4	MP4	28.52 MB
06-one_tailed_and_two_tailed_test.mp4	MP4	24.22 MB
07-hypothesis_testing_demonstration.mp4	MP4	31.72 MB
08-margin_of_error_and_confidence_interval_demonstration.mp4	MP4	49.57 MB

05-Module_Wrap_Up_And_Assessment

01-summary_statistical_analysis_with_python.mp4

MP4

10.45 MB

04-Course_Wrap_Up_And_Assessment

	01-course_summary_python_and_statistics_foundations.mp4	MP4	14.17 MB
	02-practice_project_travel_aggregator_analysis_instructions.html	HTML	5.77 KB

Data Resources.zip

ZIP

434.2 KB

Support - Onehack.Us.txt

TXT

94 B

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Coursera | Python and Statistics Foundations 2025

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