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Details for:
Coursera | Python and Statistics Foundations 2025
coursera python statistics foundations 2025
Type:
Other
Files:
90
Size:
2.0 GB
Uploaded On:
March 15, 2025, 11:52 p.m.
Added By:
Prom3th3uS
Seeders:
1
Leechers:
1
Info Hash:
14F8AC4B6E54E5F4F9C8C978A46FE609F7EB37DB
Get This Torrent
Visit >>> http://onehack.us/ https://i.ibb.co/SXBkgSkz/Python1.png Coursera - Python and Statistics Foundations 2025 What you'll learn - Write Python programs using core concepts like variables, data types, and control flow. - Apply NumPy and Pandas to manipulate and analyze data efficiently. - Create insightful data visualizations using Matplotlib, Seaborn, and Plotly for effective reporting. - Perform statistical analysis and probability tests to solve data-driven problems and validate hypotheses. There are 4 modules in this course This course introduces Python programming and fundamental statistics concepts, equipping learners with essential skills for data-driven roles in tech and AI. Through hands-on experience, you'll learn how to manipulate data, visualize insights, and apply statistical techniques for data analysis. By the end of this course, you will be able to: - Understand and apply Python programming concepts such as data types, operators, and control structures - Manipulate data using popular libraries like NumPy and Pandas - Visualize data with Python libraries such as Matplotlib, Seaborn, and Plotly - Analyze data using statistical techniques, including measures of central tendency, dispersion, and probability - Perform hypothesis testing and draw insights from the data This course is designed for beginners, data enthusiasts, and aspiring data scientists who want to build a strong foundation in Python programming and statistical analysis. No prior programming experience is required, although familiarity with basic statistics will be helpful. Join us to start your journey into data analysis and programming with Python! General Details: Duration: 5h 50m 51s Updated: 3/2025 Language: English Source: https://www.coursera.org/learn/python-and-statistics-foundations Instructor: https://www.edureka.co/ MP4 | Video: AVC, 1920x1080p | Audio: AAC, 44.100 KHz, 2 Ch
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01-Python_Essentials/01-Programming_With_Python/01-specialization_introduction.mp4
21.5 MB
01-Python_Essentials/01-Programming_With_Python/02-welcome_to_python_and_statistics_foundations_course_instructions.html
7.2 KB
01-Python_Essentials/01-Programming_With_Python/03-course_introduction.mp4
15.6 MB
01-Python_Essentials/01-Programming_With_Python/04-unlocking_python_the_language_for_every_developer_instructions.html
3.8 KB
01-Python_Essentials/01-Programming_With_Python/05-python_installation_instructions.html
3.2 MB
01-Python_Essentials/01-Programming_With_Python/06-programming_language_and_myths.mp4
25.7 MB
01-Python_Essentials/01-Programming_With_Python/07-python_for_ai_ml_code_simplicity.mp4
21.8 MB
01-Python_Essentials/01-Programming_With_Python/08-python_for_ai_ml_ease_of_learning.mp4
20.2 MB
01-Python_Essentials/01-Programming_With_Python/09-python_tokens_types.mp4
17.2 MB
01-Python_Essentials/01-Programming_With_Python/10-literals.mp4
36.2 MB
01-Python_Essentials/01-Programming_With_Python/11-operators_basic_operators.mp4
71.0 MB
01-Python_Essentials/01-Programming_With_Python/12-operators_membership_and_identity_operators.mp4
33.3 MB
01-Python_Essentials/02-Data_Types/01-explaining_data_types_in_python.mp4
10.7 MB
01-Python_Essentials/02-Data_Types/02-demonstration_of_data_types_numeric_sequence_and_mapping.mp4
53.5 MB
01-Python_Essentials/02-Data_Types/03-python_variables_instructions.html
442.2 KB
01-Python_Essentials/02-Data_Types/04-python_data_types_numerical_and_strings_instructions.html
6.9 KB
01-Python_Essentials/02-Data_Types/05-python_data_types_tuples_sets_and_dictionaries_instructions.html
5.2 KB
01-Python_Essentials/03-Conditional_Statements/01-executing_conditional_statement.mp4
31.4 MB
01-Python_Essentials/03-Conditional_Statements/02-demonstration_of_if_else_statement.mp4
22.3 MB
01-Python_Essentials/03-Conditional_Statements/03-executing_while_loop.mp4
20.2 MB
01-Python_Essentials/03-Conditional_Statements/04-demonstration_of_for_loop.mp4
29.5 MB
01-Python_Essentials/03-Conditional_Statements/05-looping_multiple_conditions.mp4
22.9 MB
01-Python_Essentials/04-Advanced_Functions_And_File_Handling/01-file_handling.mp4
26.1 MB
01-Python_Essentials/04-Advanced_Functions_And_File_Handling/02-file_handling_basics_instructions.html
5.3 KB
01-Python_Essentials/04-Advanced_Functions_And_File_Handling/03-manipulating_files.mp4
47.8 MB
01-Python_Essentials/04-Advanced_Functions_And_File_Handling/04-user_defined_functions.mp4
47.7 MB
01-Python_Essentials/04-Advanced_Functions_And_File_Handling/05-variable_argument_and_variable_keyword_argument.mp4
27.7 MB
01-Python_Essentials/04-Advanced_Functions_And_File_Handling/06-lambda_functions.mp4
38.4 MB
01-Python_Essentials/04-Advanced_Functions_And_File_Handling/07-more_on_functions_and_arguments.mp4
32.1 MB
01-Python_Essentials/04-Advanced_Functions_And_File_Handling/08-modules_in_python.mp4
17.7 MB
01-Python_Essentials/04-Advanced_Functions_And_File_Handling/09-demonstration_of_modules.mp4
27.0 MB
01-Python_Essentials/05-Module_Wrap_Up_And_Assessment/01-summary_of_python_essentials.mp4
9.7 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
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02-Exploring_Data_With_Numpy_And_Pandas/01-Numpy_With_Python/02-exploring_numpy.mp4
20.3 MB
02-Exploring_Data_With_Numpy_And_Pandas/01-Numpy_With_Python/03-numpy_operation.mp4
44.5 MB
02-Exploring_Data_With_Numpy_And_Pandas/01-Numpy_With_Python/04-working_with_numpy.mp4
48.8 MB
02-Exploring_Data_With_Numpy_And_Pandas/02-Data_Manipulation_Using_Pandas/01-data_manipulation_and_analysis_with_python_pandas_instructions.html
3.8 KB
02-Exploring_Data_With_Numpy_And_Pandas/02-Data_Manipulation_Using_Pandas/02-pandas_framework.mp4
26.7 MB
02-Exploring_Data_With_Numpy_And_Pandas/02-Data_Manipulation_Using_Pandas/03-pandas_dataframe_operation.mp4
47.1 MB
02-Exploring_Data_With_Numpy_And_Pandas/02-Data_Manipulation_Using_Pandas/04-working_with_dataframes_in_pandas.mp4
37.2 MB
02-Exploring_Data_With_Numpy_And_Pandas/02-Data_Manipulation_Using_Pandas/05-dataframes_with_pandas_operations_and_insights.mp4
43.7 MB
02-Exploring_Data_With_Numpy_And_Pandas/02-Data_Manipulation_Using_Pandas/06-creating_a_series_in_pandas.mp4
44.7 MB
02-Exploring_Data_With_Numpy_And_Pandas/02-Data_Manipulation_Using_Pandas/07-working_with_pandas_series.mp4
29.0 MB
02-Exploring_Data_With_Numpy_And_Pandas/03-Dataframes_In_Action/01-dataframe_data_maniplulation.mp4
36.4 MB
02-Exploring_Data_With_Numpy_And_Pandas/03-Dataframes_In_Action/02-dataframe_joining.mp4
46.4 MB
02-Exploring_Data_With_Numpy_And_Pandas/03-Dataframes_In_Action/03-dataframe_grouping_the_data.mp4
32.5 MB
02-Exploring_Data_With_Numpy_And_Pandas/03-Dataframes_In_Action/04-dataframe_data_cleaning.mp4
30.3 MB
02-Exploring_Data_With_Numpy_And_Pandas/03-Dataframes_In_Action/05-dataframe_data_adjusting.mp4
34.8 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/01-data_visualization_fundamentals_instructions.html
5.7 KB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/02-introduction_to_matplotlib_instructions.html
75.1 KB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/03-matplotlib_library.mp4
29.4 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/04-plotting_charts_with_matplotlib.mp4
26.5 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/05-plotting_histogram_and_box_plot.mp4
14.1 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/06-plotting_multiple_charts.mp4
39.9 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/07-introduction_to_seaborn_scatter_plot.mp4
37.6 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/08-basic_charts_in_seaborn.mp4
31.4 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/09-seaborn_heatmap_manipulation.mp4
12.7 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/10-seaborn_flights_dataset.mp4
26.2 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/11-seaborn_gaining_insights_in_flight_data.mp4
32.9 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/12-visualizing_charts_with_plotly.mp4
25.6 MB
02-Exploring_Data_With_Numpy_And_Pandas/04-Data_Visualization/13-customizing_different_charts_in_plotly.mp4
33.1 MB
02-Exploring_Data_With_Numpy_And_Pandas/05-Module_Wrap_Up_And_Assessment/01-summary_exploring_numpy_and_pandas_in_python.mp4
8.5 MB
03-Statistics_In_Python/01-Comprehending_Statistics/00. Support - Onehack.Us.txt
94 bytes
03-Statistics_In_Python/01-Comprehending_Statistics/01-the_importance_of_statistics_in_data_interpretation_instructions.html
5.1 KB
03-Statistics_In_Python/01-Comprehending_Statistics/02-what_is_statistics.mp4
24.2 MB
03-Statistics_In_Python/01-Comprehending_Statistics/03-measures_of_central_tendency.mp4
31.2 MB
03-Statistics_In_Python/01-Comprehending_Statistics/04-managing_statistical_data.mp4
33.3 MB
03-Statistics_In_Python/01-Comprehending_Statistics/05-exploring_and_analyzing_data.mp4
23.2 MB
03-Statistics_In_Python/02-Statistical_Dispersion/01-measures_of_dispersion.mp4
27.5 MB
03-Statistics_In_Python/02-Statistical_Dispersion/02-dispersion_demonstration.mp4
36.9 MB
03-Statistics_In_Python/02-Statistical_Dispersion/03-application_of_dispersion_in_large_data.mp4
12.5 MB
03-Statistics_In_Python/03-Probability_Foundation/01-introduction_to_probability_instructions.html
444.7 KB
03-Statistics_In_Python/03-Probability_Foundation/03-need_for_probability.mp4
14.3 MB
03-Statistics_In_Python/03-Probability_Foundation/04-types_of_probability.mp4
19.5 MB
03-Statistics_In_Python/03-Probability_Foundation/05-marginal_and_joint_probability_demonstration.mp4
24.4 MB
03-Statistics_In_Python/03-Probability_Foundation/06-conditional_probability_demonstration.mp4
25.1 MB
03-Statistics_In_Python/04-Hypothesis_Testing/00. Support - Onehack.Us.txt
94 bytes
03-Statistics_In_Python/04-Hypothesis_Testing/01-introduction_to_hypothesis_testing_instructions.html
36.7 KB
03-Statistics_In_Python/04-Hypothesis_Testing/02-what_is_hypothesis_testing.mp4
25.6 MB
03-Statistics_In_Python/04-Hypothesis_Testing/03-steps_for_hypothesis_testing.mp4
16.9 MB
03-Statistics_In_Python/04-Hypothesis_Testing/04-null_and_alternate_hypothesis.mp4
30.1 MB
03-Statistics_In_Python/04-Hypothesis_Testing/05-statistical_test_interpretation.mp4
28.5 MB
03-Statistics_In_Python/04-Hypothesis_Testing/06-one_tailed_and_two_tailed_test.mp4
24.2 MB
03-Statistics_In_Python/04-Hypothesis_Testing/07-hypothesis_testing_demonstration.mp4
31.7 MB
03-Statistics_In_Python/04-Hypothesis_Testing/08-margin_of_error_and_confidence_interval_demonstration.mp4
49.6 MB
03-Statistics_In_Python/05-Module_Wrap_Up_And_Assessment/01-summary_statistical_analysis_with_python.mp4
10.4 MB
04-Course_Wrap_Up_And_Assessment/01-course_summary_python_and_statistics_foundations.mp4
14.2 MB
04-Course_Wrap_Up_And_Assessment/02-practice_project_travel_aggregator_analysis_instructions.html
5.8 KB
Data Resources.zip
434.2 KB
Support - Onehack.Us.txt
94 bytes
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