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Coursera | Python and Statistics Foundations 2025

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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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Files:
  1. 01-specialization_introduction.mp4 21.5 MB
  2. 02-welcome_to_python_and_statistics_foundations_course_instructions.html 7.2 KB
  3. 03-course_introduction.mp4 15.6 MB
  4. 04-unlocking_python_the_language_for_every_developer_instructions.html 3.8 KB
  5. 05-python_installation_instructions.html 3.2 MB
  6. 06-programming_language_and_myths.mp4 25.7 MB
  7. 07-python_for_ai_ml_code_simplicity.mp4 21.8 MB
  8. 08-python_for_ai_ml_ease_of_learning.mp4 20.2 MB
  9. 09-python_tokens_types.mp4 17.2 MB
  10. 10-literals.mp4 36.2 MB
  11. 11-operators_basic_operators.mp4 71.0 MB
  12. 12-operators_membership_and_identity_operators.mp4 33.3 MB
  13. 01-explaining_data_types_in_python.mp4 10.7 MB
  14. 02-demonstration_of_data_types_numeric_sequence_and_mapping.mp4 53.5 MB
  15. 03-python_variables_instructions.html 442.2 KB
  16. 04-python_data_types_numerical_and_strings_instructions.html 6.9 KB
  17. 05-python_data_types_tuples_sets_and_dictionaries_instructions.html 5.2 KB
  18. 01-executing_conditional_statement.mp4 31.4 MB
  19. 02-demonstration_of_if_else_statement.mp4 22.3 MB
  20. 03-executing_while_loop.mp4 20.2 MB
  21. 04-demonstration_of_for_loop.mp4 29.5 MB
  22. 05-looping_multiple_conditions.mp4 22.9 MB
  23. 01-file_handling.mp4 26.1 MB
  24. 02-file_handling_basics_instructions.html 5.3 KB
  25. 03-manipulating_files.mp4 47.8 MB
  26. 04-user_defined_functions.mp4 47.7 MB
  27. 05-variable_argument_and_variable_keyword_argument.mp4 27.7 MB
  28. 06-lambda_functions.mp4 38.4 MB
  29. 07-more_on_functions_and_arguments.mp4 32.1 MB
  30. 08-modules_in_python.mp4 17.7 MB
  31. 09-demonstration_of_modules.mp4 27.0 MB
  32. 01-summary_of_python_essentials.mp4 9.7 MB
  33. 01-memory_and_performance_comparison_between_python_lists_and_numpy_arrays_instructions.html 5.0 KB
  34. 02-exploring_numpy.mp4 20.3 MB
  35. 03-numpy_operation.mp4 44.5 MB
  36. 04-working_with_numpy.mp4 48.8 MB
  37. 01-data_manipulation_and_analysis_with_python_pandas_instructions.html 3.8 KB
  38. 02-pandas_framework.mp4 26.7 MB
  39. 03-pandas_dataframe_operation.mp4 47.1 MB
  40. 04-working_with_dataframes_in_pandas.mp4 37.2 MB
  41. 05-dataframes_with_pandas_operations_and_insights.mp4 43.7 MB
  42. 06-creating_a_series_in_pandas.mp4 44.7 MB
  43. 07-working_with_pandas_series.mp4 29.0 MB
  44. 01-dataframe_data_maniplulation.mp4 36.4 MB
  45. 02-dataframe_joining.mp4 46.4 MB
  46. 03-dataframe_grouping_the_data.mp4 32.5 MB
  47. 04-dataframe_data_cleaning.mp4 30.3 MB
  48. 05-dataframe_data_adjusting.mp4 34.8 MB
  49. 01-data_visualization_fundamentals_instructions.html 5.7 KB
  50. 02-introduction_to_matplotlib_instructions.html 75.1 KB
  51. 03-matplotlib_library.mp4 29.4 MB
  52. 04-plotting_charts_with_matplotlib.mp4 26.5 MB
  53. 05-plotting_histogram_and_box_plot.mp4 14.1 MB
  54. 06-plotting_multiple_charts.mp4 39.9 MB
  55. 07-introduction_to_seaborn_scatter_plot.mp4 37.6 MB
  56. 08-basic_charts_in_seaborn.mp4 31.4 MB
  57. 09-seaborn_heatmap_manipulation.mp4 12.7 MB
  58. 10-seaborn_flights_dataset.mp4 26.2 MB
  59. 11-seaborn_gaining_insights_in_flight_data.mp4 32.9 MB
  60. 12-visualizing_charts_with_plotly.mp4 25.6 MB
  61. 13-customizing_different_charts_in_plotly.mp4 33.1 MB
  62. 01-summary_exploring_numpy_and_pandas_in_python.mp4 8.5 MB
  63. 00. Support - Onehack.Us.txt 94 bytes
  64. 01-the_importance_of_statistics_in_data_interpretation_instructions.html 5.1 KB
  65. 02-what_is_statistics.mp4 24.2 MB
  66. 03-measures_of_central_tendency.mp4 31.2 MB
  67. 04-managing_statistical_data.mp4 33.3 MB
  68. 05-exploring_and_analyzing_data.mp4 23.2 MB
  69. 01-measures_of_dispersion.mp4 27.5 MB
  70. 02-dispersion_demonstration.mp4 36.9 MB
  71. 03-application_of_dispersion_in_large_data.mp4 12.5 MB
  72. 01-introduction_to_probability_instructions.html 444.7 KB
  73. 03-need_for_probability.mp4 14.3 MB
  74. 04-types_of_probability.mp4 19.5 MB
  75. 05-marginal_and_joint_probability_demonstration.mp4 24.4 MB
  76. 06-conditional_probability_demonstration.mp4 25.1 MB
  77. 00. Support - Onehack.Us.txt 94 bytes
  78. 01-introduction_to_hypothesis_testing_instructions.html 36.7 KB
  79. 02-what_is_hypothesis_testing.mp4 25.6 MB
  80. 03-steps_for_hypothesis_testing.mp4 16.9 MB
  81. 04-null_and_alternate_hypothesis.mp4 30.1 MB
  82. 05-statistical_test_interpretation.mp4 28.5 MB
  83. 06-one_tailed_and_two_tailed_test.mp4 24.2 MB
  84. 07-hypothesis_testing_demonstration.mp4 31.7 MB
  85. 08-margin_of_error_and_confidence_interval_demonstration.mp4 49.6 MB
  86. 01-summary_statistical_analysis_with_python.mp4 10.4 MB
  87. 01-course_summary_python_and_statistics_foundations.mp4 14.2 MB
  88. 02-practice_project_travel_aggregator_analysis_instructions.html 5.8 KB
  89. Data Resources.zip 434.2 KB
  90. Support - Onehack.Us.txt 94 bytes

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