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Language:
English
Total Size:
623.3 MB
Info Hash:
700862C2EE31011341F70A3C3227CE439E077DBF
Added By:
Added:
April 26, 2024, 5:51 p.m.
Stats:
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(Last updated: May 4, 2025, 6:15 a.m.)
| File | Size |
|---|---|
| 0. Join Our Discord for More Awesome Stuff!.txt | 156 bytes |
| 01_01_predictive-analysis-overview.en.txt | 732 bytes |
| 02_01_intro-to-web-scraping_instructions.html | 1.1 KB |
| 01_01_predictive-analysis-overview.en.srt | 1.1 KB |
| 01_01__resources.html | 1.2 KB |
| 01_01_exploratory-data-analysis.en.txt | 1.2 KB |
| 01_02_additional-resources-for-dashboards_instructions.html | 1.2 KB |
| 03_07_optional-hands-on-lab-analyzing-historical-stock-revenue-data-and-building-a_instructions.html | 1.3 KB |
| 02_01_cheat-sheet-data-analysis-for-python_instructions.html | 1.3 KB |
| 04_02_python-cheat-sheet-the-basics_instructions.html | 1.3 KB |
| 01_01_exploratory-data-analysis-overview.en.txt | 1.4 KB |
| 04_01_data-wrangling-overview.en.txt | 1.4 KB |
| 02_02_additional-resources-for-dash_instructions.html | 1.5 KB |
| 01_01_interactive-visual-analytics-and-dashboards.en.txt | 1.5 KB |
| 01_01_model-development.en.txt | 1.5 KB |
| 01_05_binning-in-python.en.txt | 1.5 KB |
| 03_03_copyrights-and-trademarks_instructions.html | 1.5 KB |
| 01_06_turning-categorical-variables-into-quantitative-variables-in-python.en.txt | 1.5 KB |
| 02_04_additional-resources-for-interactive-dashboards_instructions.html | 1.6 KB |
| 01_01_course-introduction.en.txt | 1.6 KB |
| 03_06_optional-jupyter-notebook-to-complete-your-final-project_instructions.html | 1.6 KB |
| 01_01_course-introduction.en.txt | 1.7 KB |
| 02_02_pandas-working-with-and-saving-data.en.txt | 1.8 KB |
| 01_04_additional-resources-for-plotly_instructions.html | 1.9 KB |
| 01_02_submit-your-project-and-review-others_peer_assignment_instructions.html | 1.9 KB |
| 02_01_course-summary_instructions.html | 1.9 KB |
| 01_01_exploratory-data-analysis.en.srt | 1.9 KB |
| 01_01_pre-processing-data-in-python.en.txt | 2.0 KB |
| 02_01_check-points-complete-the-eda-with-visualization_quiz.html | 2.0 KB |
| 01_02_check-points-exploratory-analysis-using-sql_quiz.html | 2.1 KB |
| 03_02_check-points-data-collection-api_quiz.html | 2.1 KB |
| 01_02_about-this-course_instructions.html | 2.1 KB |
| 02_01_dictionaries.en.txt | 2.1 KB |
| 01_01_exploratory-data-analysis-overview.en.srt | 2.2 KB |
| 01_03_python-packages-for-data-science.en.txt | 2.2 KB |
| 04_03_graded-quiz-data-wrangling-quiz_exam.html | 2.2 KB |
| 01_01_course-introduction_instructions.html | 2.2 KB |
| 03_02_credits-and-acknowledgments_instructions.html | 2.2 KB |
| 02_02_box-plots.en.txt | 2.2 KB |
| 01_01_interactive-visual-analytics-and-dashboards.en.srt | 2.2 KB |
| 01_03_graded-quiz-predictive-analysisis_exam.html | 2.2 KB |
| 03_03_extracting-stock-data-using-a-python-library_exam.html | 2.2 KB |
| 01_02_understanding-the-data.en.txt | 2.2 KB |
| 04_01_next-steps_instructions.html | 2.3 KB |
| 02_01_introduction-to-folium.en.txt | 2.3 KB |
| 01_02_check-points-predictive-analysis_quiz.html | 2.3 KB |
| 01_05_correlation-statistics.en.txt | 2.3 KB |
| 01_02_writing-files-with-open.en.txt | 2.4 KB |
| 04_02_carriage-return-r-in-python_instructions.html | 2.4 KB |
| 04_02_check-points-data-wrangling_quiz.html | 2.4 KB |
| 03_01_types.en.txt | 2.4 KB |
| 01_05_binning-in-python.en.srt | 2.4 KB |
| 01_01_course-introduction_instructions.html | 2.4 KB |
| 01_04_correlation.en.txt | 2.4 KB |
| 02_02_congratulations-and-next-steps_instructions.html | 2.5 KB |
| 02_01_project-scenario-and-overview.en.txt | 2.5 KB |
| 03_02_stock-shares_instructions.html | 2.5 KB |
| 02_01_introduction-to-dash.en.txt | 2.6 KB |
| 01_01_final-project-scenario_instructions.html | 2.6 KB |
| 04_01_congratulations-and-next-steps_instructions.html | 2.6 KB |
| 02_07_summary-creating-dashboards-with-plotly-and-dash_instructions.html | 2.6 KB |
| 01_01_course-introduction.en.srt | 2.7 KB |
| 02_01_pie-charts.en.txt | 2.7 KB |
| 02_06_dataset-on-immigration-to-canada.en.txt | 2.7 KB |
| 01_03_bar-charts.en.txt | 2.7 KB |
| 03_03_graded-quiz-data-collection-api-with-webscraping_exam.html | 2.8 KB |
| 04_01_data-wrangling-overview.en.srt | 2.8 KB |
| 01_03_data-formatting-in-python.en.txt | 2.8 KB |
| 01_02_best-practices-for-presenting-your-findings.en.txt | 2.9 KB |
| 01_01_model-development.en.srt | 2.9 KB |
| 03_04_extracting-stock-data-using-a-web-scraping_exam.html | 2.9 KB |
| 02_03_scatter-plots.en.txt | 2.9 KB |
| 03_01_project-overview_instructions.html | 2.9 KB |
| 01_01_course-introduction.en.srt | 2.9 KB |
| 04_02_thanks-from-the-course-team_instructions.html | 3.0 KB |
| 01_06_turning-categorical-variables-into-quantitative-variables-in-python.en.srt | 3.0 KB |
| 02_02_pandas-working-with-and-saving-data.en.srt | 3.0 KB |
| 02_06_summary-basic-and-specialized-visualization-tools_instructions.html | 3.0 KB |
| 01_04_data-normalization-in-python.en.txt | 3.0 KB |
| 02_05_summary-advanced-visualizations-and-geospatial-data_instructions.html | 3.0 KB |
| 03_05_optional-gamestop-stock-vs-tesla_instructions.html | 3.0 KB |
| 02_01_rest-apis-http-requests-part-1.en.txt | 3.1 KB |
| 01_03_groupby-in-python.en.txt | 3.1 KB |
| 04_01_expressions-and-variables.en.txt | 3.2 KB |
| 01_05_measures-for-in-sample-evaluation.en.txt | 3.2 KB |
| 03_01_data-collection-overview.en.txt | 3.2 KB |
| 01_01_reading-files-with-open.en.txt | 3.2 KB |
| 02_03_getting-started-with-jupyter.en.txt | 3.2 KB |
| 02_07_line-plots.en.txt | 3.2 KB |
| 01_07_lesson-summary_instructions.html | 3.2 KB |
| 01_01_welcome-to-the-course.en.txt | 3.3 KB |
| 02_03_thanks-from-the-course-team_instructions.html | 3.3 KB |
| 02_01_introduction-to-python.en.txt | 3.3 KB |
| 05_01_string-operations.en.txt | 3.4 KB |
| 01_06_accessing-databases-with-python.en.txt | 3.4 KB |
| 04_01_exception-handling.en.txt | 3.4 KB |
| 02_05_working-with-different-file-formats-csv-xml-json-xlsx.en.txt | 3.4 KB |
| 02_01_peer-review-submit-your-work-and-review-your-peers_peer_assignment_instructions.html | 3.5 KB |
| 02_02_box-plots.en.srt | 3.5 KB |
| 01_04_importing-and-exporting-data-in-python.en.txt | 3.5 KB |
| 02_03_choropleth-maps.en.txt | 3.6 KB |
| 01_02_check-points-interactive-visual-analytics-and-dashboard_quiz.html | 3.6 KB |
| 01_02_seaborn-and-regression-plots.en.txt | 3.7 KB |
| 01_02_understanding-the-data.en.srt | 3.7 KB |
| 01_01_pre-processing-data-in-python.en.srt | 3.7 KB |
| 02_02_rest-apis-http-requests-part-2.en.txt | 3.8 KB |
| 02_01_dictionaries.en.srt | 3.8 KB |
| 01_04_polynomial-regression-and-pipelines.en.txt | 3.8 KB |
| 01_04_correlation.en.srt | 3.9 KB |
| 02_05_basic-plotting-with-matplotlib.en.txt | 3.9 KB |
| 01_02_histograms.en.txt | 3.9 KB |
| 01_01_dashboarding-overview.en.txt | 3.9 KB |
| 01_05_practice-quiz-creating-dashboards-with-plotly_quiz.html | 3.9 KB |
| 01_05_getting-started-analyzing-data-in-python.en.txt | 3.9 KB |
| 02_03_optional-html-for-web-scraping.en.txt | 4.0 KB |
| 03_01_types.en.srt | 4.0 KB |
| 01_03_ridge-regression.en.txt | 4.0 KB |
| 02_02_html-for-webscraping.en.txt | 4.0 KB |
| 01_04_grid-search.en.txt | 4.0 KB |
| 03_01_congratulations-and-next-steps_instructions.html | 4.0 KB |
| 02_01_pandas-loading-data.en.txt | 4.0 KB |
| 02_01_project-scenario-and-overview.en.srt | 4.0 KB |
| 02_08_practice-quiz-introduction-to-data-visualization-tools_quiz.html | 4.0 KB |
| 01_03_introduction-to-plotly.en.txt | 4.0 KB |
| 01_03_model-evaluation-using-visualization.en.txt | 4.0 KB |
| 01_03_python-packages-for-data-science.en.srt | 4.1 KB |
| 01_02_overfitting-underfitting-and-model-selection.en.txt | 4.1 KB |
| 01_05_lesson-summary_instructions.html | 4.1 KB |
| 01_02_writing-files-with-open.en.srt | 4.1 KB |
| 02_03_webscraping.en.txt | 4.1 KB |
| 02_04_optional-web-scraping.en.txt | 4.1 KB |
| 01_03_graded-quiz-interactive-visual-analytics-and-dashboard_exam.html | 4.1 KB |
| 02_06_practice-quiz-working-with-dash_quiz.html | 4.1 KB |
| 02_04_practice-quiz-visualizing-geospatial-data_quiz.html | 4.2 KB |
| 03_01_sets.en.txt | 4.2 KB |
| 01_06_lesson-summary_instructions.html | 4.2 KB |
| 02_01_introduction-to-folium.en.srt | 4.2 KB |
| 02_03_make-dashboards-interactive.en.txt | 4.2 KB |
| 01_01_waffle-charts-word-cloud.en.txt | 4.2 KB |
| 01_01_area-plots.en.txt | 4.2 KB |
| 01_06_prediction-and-decision-making.en.txt | 4.2 KB |
| 01_02_descriptive-statistics.en.txt | 4.2 KB |
| 01_02_best-practices-for-presenting-your-findings.en.srt | 4.2 KB |
| 02_02_maps-with-markers.en.txt | 4.3 KB |
| 01_03_practice-quiz-advanced-visualization-tools_quiz.html | 4.3 KB |
| 02_01_pie-charts.en.srt | 4.3 KB |
| 02_06_dataset-on-immigration-to-canada.en.srt | 4.3 KB |
| 02_02_exploratory-data-analysis-for-data-visualization_exam.html | 4.3 KB |
| 01_01_application-program-interface.en.txt | 4.3 KB |
| 01_05_correlation-statistics.en.srt | 4.4 KB |
| 01_03_course-overview_instructions.html | 4.4 KB |
| 01_01_elements-of-a-successful-data-findings-report.en.txt | 4.6 KB |
| 02_05_practice-quiz-specialized-visualization-tools_quiz.html | 4.6 KB |
| 02_05_working-with-different-file-formats-csv-xml-json-xlsx.en.srt | 4.7 KB |
| 02_01_rest-apis-http-requests-part-1.en.srt | 4.8 KB |
| 01_03_exploratory-data-analysis-using-sql_exam.html | 4.8 KB |
| 02_01_introduction-to-dash.en.srt | 4.9 KB |
| 01_04_data-normalization-in-python.en.srt | 4.9 KB |
| 04_01_congratulations-and-next-steps_instructions.html | 5.0 KB |
| 03_01_data-collection-overview.en.srt | 5.1 KB |
| 02_03_getting-started-with-jupyter.en.srt | 5.1 KB |
| 04_01_expressions-and-variables.en.srt | 5.1 KB |
| 01_02_dealing-with-missing-values-in-python.en.txt | 5.1 KB |
| 02_01_introduction-to-python.en.srt | 5.2 KB |
| 02_03_plot-libraries.en.txt | 5.2 KB |
| 01_03_bar-charts.en.srt | 5.2 KB |
| 01_05_measures-for-in-sample-evaluation.en.srt | 5.2 KB |
| 01_02_linear-regression-and-multiple-linear-regression.en.txt | 5.2 KB |
| 04_01_exception-handling.en.srt | 5.3 KB |
| 01_01_final-assignment-part-3-submission-and-grading_peer_assignment_instructions.html | 5.4 KB |
| 01_03_data-formatting-in-python.en.srt | 5.4 KB |
| 01_01_reading-files-with-open.en.srt | 5.4 KB |
| 02_03_scatter-plots.en.srt | 5.5 KB |
| 02_02_introduction-to-jupyter_instructions.html | 5.5 KB |
| 02_04_introduction-to-matplotlib.en.txt | 5.6 KB |
| 01_04_helpful-tips-for-course-completion_Helpful_Tips_IBM_SkillsNetwork.html | 5.6 KB |
| 01_07_lesson-summary_instructions.html | 5.7 KB |
| 01_04_importing-and-exporting-data-in-python.en.srt | 5.7 KB |
| 02_03_choropleth-maps.en.srt | 5.7 KB |
| 02_05_understanding-the-lab-environment.en.txt | 5.8 KB |
| 01_03_groupby-in-python.en.srt | 5.8 KB |
| 05_01_string-operations.en.srt | 5.8 KB |
| 06_01_module-1-summary-python-basics_instructions.html | 5.9 KB |
| 01_02_seaborn-and-regression-plots.en.srt | 5.9 KB |
| 02_02_rest-apis-http-requests-part-2.en.srt | 5.9 KB |
| 02_09_summary-introduction-to-data-visualization-tools_instructions.html | 6.0 KB |
| 02_01_loops.en.txt | 6.0 KB |
| 02_07_line-plots.en.srt | 6.1 KB |
| 02_05_basic-plotting-with-matplotlib.en.srt | 6.1 KB |
| 02_04_plotting-directly-with-matplotlib.en.txt | 6.1 KB |
| 01_02_histograms.en.srt | 6.1 KB |
| 02_08_graded-quiz-creating-dashboards-with-plotly-and-dash_exam.html | 6.2 KB |
| 01_01_welcome-to-the-course.en.srt | 6.2 KB |
| 03_02_two-dimensional-numpy.en.txt | 6.2 KB |
| 01_01_application-program-interface.en.srt | 6.3 KB |
| 02_03_optional-html-for-web-scraping.en.srt | 6.3 KB |
| 02_02_html-for-webscraping.en.srt | 6.3 KB |
| 01_04_polynomial-regression-and-pipelines.en.srt | 6.3 KB |
| 01_06_accessing-databases-with-python.en.srt | 6.3 KB |
| 01_07_lesson-summary_instructions.html | 6.3 KB |
| 02_01_overview-of-data-visualization.en.txt | 6.4 KB |
| 01_04_grid-search.en.srt | 6.5 KB |
| 02_03_webscraping.en.srt | 6.5 KB |
| 02_04_optional-web-scraping.en.srt | 6.6 KB |
| 02_02_types-of-plots.en.txt | 6.7 KB |
| 01_01_model-evaluation-and-refinement.en.txt | 6.7 KB |
| 01_03_model-evaluation-using-visualization.en.srt | 6.7 KB |
| 01_02_how-to-make-the-most-of-this-course_instructions.html | 6.8 KB |
| 01_01_waffle-charts-word-cloud.en.srt | 6.8 KB |
| 02_03_make-dashboards-interactive.en.srt | 6.8 KB |
| 02_10_graded-quiz-introduction-to-data-visualization-tools_exam.html | 6.8 KB |
| 04_01_module-2-summary-python-data-structures_instructions.html | 6.9 KB |
| 01_01_elements-of-a-successful-data-findings-report.en.srt | 7.0 KB |
| 02_06_graded-quiz-advanced-visualizations-and-geospatial-data_exam.html | 7.0 KB |
| 01_01_lists-and-tuples.en.txt | 7.3 KB |
| 03_01_sets.en.srt | 7.3 KB |
| 01_01_dashboarding-overview.en.srt | 7.4 KB |
| 01_05_getting-started-analyzing-data-in-python.en.srt | 7.5 KB |
| 01_03_ridge-regression.en.srt | 7.5 KB |
| 01_03_introduction-to-plotly.en.srt | 7.7 KB |
| 01_02_overfitting-underfitting-and-model-selection.en.srt | 7.7 KB |
| 02_01_pandas-loading-data.en.srt | 7.7 KB |
| 01_02_descriptive-statistics.en.srt | 7.8 KB |
| 01_01_area-plots.en.srt | 8.0 KB |
| 02_02_maps-with-markers.en.srt | 8.0 KB |
| 01_06_prediction-and-decision-making.en.srt | 8.1 KB |
| 01_02_dealing-with-missing-values-in-python.en.srt | 8.2 KB |
| 02_03_plot-libraries.en.srt | 8.3 KB |
| 01_02_linear-regression-and-multiple-linear-regression.en.srt | 8.4 KB |
| 06_01_module-3-summary-python-programming-fundamentals_instructions.html | 8.8 KB |
| 01_01_conditions-and-branching.en.txt | 8.8 KB |
| 04_01_module-4-summary-working-with-data-in-python_instructions.html | 8.9 KB |
| 03_01_module-5-summary-apis-and-data-collection_instructions.html | 9.1 KB |
| 03_01_one-dimensional-numpy.en.txt | 9.5 KB |
| 02_01_loops.en.srt | 9.9 KB |
| 05_01_objects-and-classes.en.txt | 10.0 KB |
| 02_04_introduction-to-matplotlib.en.srt | 10.6 KB |
| 02_02_types-of-plots.en.srt | 10.8 KB |
| 02_05_understanding-the-lab-environment.en.srt | 11.0 KB |
| 03_01_functions.en.txt | 11.2 KB |
| 01_01_lists-and-tuples.en.srt | 11.3 KB |
| 02_04_plotting-directly-with-matplotlib.en.srt | 11.6 KB |
| 02_01_overview-of-data-visualization.en.srt | 11.8 KB |
| 03_02_two-dimensional-numpy.en.srt | 12.0 KB |
| 01_01_model-evaluation-and-refinement.en.srt | 12.9 KB |
| 01_04_practice-quiz-basic-visualization-tools_quiz.html | 14.2 KB |
| 01_01_conditions-and-branching.en.srt | 15.5 KB |
| 03_06_optional-jupyter-notebook-to-complete-your-final-project_Final Assignment.ipynb | 15.7 KB |
| 01_01_final-project-scenario_House_Sales_in_King_Count_USA.ipynb | 16.5 KB |
| 03_01_functions.en.srt | 16.6 KB |
| 05_01_objects-and-classes.en.srt | 16.9 KB |
| 03_01_one-dimensional-numpy.en.srt | 18.2 KB |
| 01_03_syllabus_instructions.html | 22.7 KB |
| 02_07_graded-quiz-basic-and-specialized-visualization-tools_exam.html | 33.7 KB |
| 03_01_ibm-digital-badge_instructions.html | 152.8 KB |
| 03_01_ibm-digital-badge_instructions.html | 153.5 KB |
| 03_08_analyzing-historical-stock-revenue-data-and-building-a-dashboard_peer_assignment_instructions.html | 320.5 KB |
| 01_04_helpful-tips-for-course-completion_instructions.html | 451.8 KB |
| 02_01_cheat-sheet-data-analysis-for-python_Python Cheat Sheet for Data Analysis.pdf | 568.5 KB |
| 01_01_predictive-analysis-overview.mp4 | 1.8 MB |
| 01_01_exploratory-data-analysis.mp4 | 2.0 MB |
| 01_05_binning-in-python.mp4 | 2.6 MB |
| 01_01_model-development.mp4 | 2.8 MB |
| 01_06_turning-categorical-variables-into-quantitative-variables-in-python.mp4 | 2.8 MB |
| 01_04_additional-resources-for-plotly_plotly_js_cheat_sheet.pdf | 2.9 MB |
| 01_01_exploratory-data-analysis-overview.mp4 | 2.9 MB |
| 01_01_pre-processing-data-in-python.mp4 | 3.1 MB |
| 01_03_python-packages-for-data-science.mp4 | 3.2 MB |
| 02_01_dictionaries.mp4 | 3.5 MB |
| 03_01_types.mp4 | 3.6 MB |
| 01_05_correlation-statistics.mp4 | 3.6 MB |
| 01_04_correlation.mp4 | 3.7 MB |
| 02_02_box-plots.mp4 | 3.7 MB |
| 01_02_writing-files-with-open.mp4 | 3.9 MB |
| 01_01_interactive-visual-analytics-and-dashboards.mp4 | 4.2 MB |
| 01_02_understanding-the-data.mp4 | 4.2 MB |
| 02_01_introduction-to-folium.mp4 | 4.3 MB |
| 01_01_course-introduction.mp4 | 4.5 MB |
| 02_06_dataset-on-immigration-to-canada.mp4 | 4.5 MB |
| 04_01_data-wrangling-overview.mp4 | 4.7 MB |
| 01_03_groupby-in-python.mp4 | 4.7 MB |
| 04_01_expressions-and-variables.mp4 | 4.8 MB |
| 01_03_bar-charts.mp4 | 4.8 MB |
| 01_03_data-formatting-in-python.mp4 | 4.8 MB |
| 01_04_data-normalization-in-python.mp4 | 4.9 MB |
| 04_01_exception-handling.mp4 | 4.9 MB |
| 02_02_pandas-working-with-and-saving-data.mp4 | 4.9 MB |
| 01_02_best-practices-for-presenting-your-findings.mp4 | 4.9 MB |
| 02_01_introduction-to-dash.mp4 | 5.0 MB |
| 02_03_scatter-plots.mp4 | 5.0 MB |
| 01_06_accessing-databases-with-python.mp4 | 5.0 MB |
| 01_01_welcome-to-the-course.mp4 | 5.3 MB |
| 05_01_string-operations.mp4 | 5.4 MB |
| 02_01_rest-apis-http-requests-part-1.mp4 | 5.4 MB |
| 01_03_ridge-regression.mp4 | 5.5 MB |
| 01_05_measures-for-in-sample-evaluation.mp4 | 5.5 MB |
| 02_05_working-with-different-file-formats-csv-xml-json-xlsx.mp4 | 5.6 MB |
| 02_01_project-scenario-and-overview.mp4 | 5.6 MB |
| 02_07_line-plots.mp4 | 5.7 MB |
| 01_02_overfitting-underfitting-and-model-selection.mp4 | 5.8 MB |
| 02_03_getting-started-with-jupyter.mp4 | 5.8 MB |
| 02_05_basic-plotting-with-matplotlib.mp4 | 6.0 MB |
| 01_02_seaborn-and-regression-plots.mp4 | 6.0 MB |
| 01_01_dashboarding-overview.mp4 | 6.0 MB |
| 01_01__Python Cheat Sheet - The Basics Coursera.pdf | 6.1 MB |
| 04_02_python-cheat-sheet-the-basics_Python Cheat Sheet - The Basics Coursera.pdf | 6.1 MB |
| 01_04_importing-and-exporting-data-in-python.mp4 | 6.3 MB |
| 01_02_descriptive-statistics.mp4 | 6.3 MB |
| 01_03_model-evaluation-using-visualization.mp4 | 6.4 MB |
| 02_01_introduction-to-python.mp4 | 6.4 MB |
| 01_02_histograms.mp4 | 6.5 MB |
| 01_04_grid-search.mp4 | 6.6 MB |
| 02_03_choropleth-maps.mp4 | 6.7 MB |
| 03_01_sets.mp4 | 6.9 MB |
| 02_02_rest-apis-http-requests-part-2.mp4 | 6.9 MB |
| 02_04_optional-web-scraping.mp4 | 6.9 MB |
| 01_06_prediction-and-decision-making.mp4 | 7.0 MB |
| 02_01_pie-charts.mp4 | 7.0 MB |
| 03_01_data-collection-overview.mp4 | 7.1 MB |
| 02_02_html-for-webscraping.mp4 | 7.1 MB |
| 02_03_optional-html-for-web-scraping.mp4 | 7.3 MB |
| 02_03_webscraping.mp4 | 7.5 MB |
| 01_01_reading-files-with-open.mp4 | 7.5 MB |
| 01_01_elements-of-a-successful-data-findings-report.mp4 | 7.5 MB |
| 01_01_waffle-charts-word-cloud.mp4 | 7.5 MB |
| 02_03_make-dashboards-interactive.mp4 | 7.6 MB |
| 01_01_area-plots.mp4 | 7.7 MB |
| 01_02_dealing-with-missing-values-in-python.mp4 | 7.8 MB |
| 01_03_introduction-to-plotly.mp4 | 7.9 MB |
| 02_02_maps-with-markers.mp4 | 8.1 MB |
| 02_03_plot-libraries.mp4 | 8.2 MB |
| 01_01_course-introduction.mp4 | 8.2 MB |
| 03_02_two-dimensional-numpy.mp4 | 8.6 MB |
| 01_02_linear-regression-and-multiple-linear-regression.mp4 | 8.9 MB |
| 02_04_introduction-to-matplotlib.mp4 | 9.0 MB |
| 01_04_polynomial-regression-and-pipelines.mp4 | 9.6 MB |
| 01_01_model-evaluation-and-refinement.mp4 | 10.0 MB |
| 02_01_overview-of-data-visualization.mp4 | 10.4 MB |
| 01_01_application-program-interface.mp4 | 10.5 MB |
| 01_01_lists-and-tuples.mp4 | 11.2 MB |
| 02_02_types-of-plots.mp4 | 11.4 MB |
| 02_01_pandas-loading-data.mp4 | 11.8 MB |
| 02_01_loops.mp4 | 11.8 MB |
| 02_04_plotting-directly-with-matplotlib.mp4 | 11.8 MB |
| 02_05_understanding-the-lab-environment.mp4 | 12.2 MB |
| 01_05_getting-started-analyzing-data-in-python.mp4 | 13.3 MB |
| 03_01_one-dimensional-numpy.mp4 | 13.4 MB |
| 05_01_objects-and-classes.mp4 | 15.0 MB |
| 01_01_conditions-and-branching.mp4 | 16.9 MB |
| 03_01_functions.mp4 | 25.6 MB |
Name
DL
Uploader
Size
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623.3 MB
[12
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3]
2024-04-26
| Uploaded by SunRiseZone | Size 623.3 MB | Health [ 12 /3 ] | Added 2024-04-26 |
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881.1 MB
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2023-06-02
| Uploaded by SunRiseZone | Size 881.1 MB | Health [ 4 /8 ] | Added 2023-06-02 |
NOTE
SOURCE: Coursera Applied Data Science Specialization 5 course series
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COVER
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MEDIAINFO
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