Data Wrangling with Python Specialization

About Course

Data Wrangling with Python Specialization – Completely Free!

This **Data Wrangling with Python Specialization course** from the **University of Colorado** will equip you with the skills and techniques needed to launch a successful career in data science. This specialization covers essential topics like basic tools, data collection, understanding, and pre-processing.

Designed for beginners, this course emphasizes practical exercises and case studies to solidify learning. You’ll gain hands-on experience in the data wrangling process and be prepared to tackle complex data challenges in real-world scenarios. The **Applied Learning Project** provides an opportunity to apply your knowledge to a real data mining project, demonstrating your mastery of the subject.

This course is completely free and available on platforms like **Udemy, Udacity, Coursera, MasterClass, NearPeer, and others.**

**Learn essential data science skills, including:**

Data Collection and Cleaning
Data Transformation and Manipulation
Data Integration and Validation
Data Visualization and Analysis

**Start your journey into the exciting world of data science today!**

Course Content

01. fundamental-tools-of-data-wrangling

A Message from the Professor
005 02_assessment-strategy_instructions.html

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009 03_python-fundamentals.mp4

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011 04_python-fundamentals-slides_instructions.html

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016 05_python-fundamentals-practice-lab_instructions.html

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017 06_python-fundamentals-quiz_exam.html

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021 01_python-functions.mp4

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023 02_python-functions-slides_instructions.html

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028 03_python-functions-practice-lab_instructions.html

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029 04_python-functions-quiz_exam.html

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033 01_python-packages.mp4

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035 02_python-packages-slides_instructions.html

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040 03_python-packages-practice-lab_instructions.html

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041 04_python-packages-quiz_exam.html

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046 01_data-structure-list.mp4

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049 02_list-demo_instructions.html

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054 03_list-practice-lab_instructions.html

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055 04_list-quiz_exam.html

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060 01_string.mp4

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063 02_string-demo_instructions.html

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064 03_string-quiz_exam.html

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069 01_data-structure-set.mp4

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072 02_set-demo_instructions.html

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077 03_set-practice-lab_instructions.html

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078 04_set-quiz_exam.html

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083 01_data-structure-dictionary.mp4

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086 02_dictionary-demo_instructions.html

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091 03_dictionary-practice-lab_instructions.html

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092 04_dictionary-quiz_exam.html

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097 01_numpy-basics.mp4

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100 02_numpy-basics-demo_instructions.html

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105 01_numpy-advanced.mp4

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108 02_numpy-advanced-demo_instructions.html

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113 01_numpy-masks.mp4

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116 02_numpy-masks-demo_instructions.html

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117 03_numpy-quiz_exam.html

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122 04_numpy-practice-lab_instructions.html

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127 01_pandas-series.mp4

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130 02_pandas-series-demo_instructions.html

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136 01_pandas-dataframe.mp4

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140 02_pandas-dataframe-demo_instructions.html

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146 01_pandas-advanced.mp4

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149 02_pandas-advanced-demo_instructions.html

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151 03_pandas-quiz_exam.html

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004 01_course-overview.mp4

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156 04_pandas-practice-lab_instructions.html

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001 01_course-overview_C1-Overview.pdf

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153 04_pandas-practice-lab_C1-M4-Pandas_Lab_Solution.pdf

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003 01_course-overview.en.txt

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Section Quiz

02. data-collection-and-integration

005 02_assessment-strategy_instructions.html

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006 03_activity-strategy_instructions.html

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012 04_collect-data-from-files.mp4

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016 05_collect-data-from-files-demo_instructions.html

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021 01_collect-data-from-web.mp4

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024 02_collect-data-from-web-demo_instructions.html

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027 03_collect-data-from-web-case-study_instructions.html

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033 01_collect-data-from-database.mp4

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037 02_collect-data-from-database-demo_instructions.html

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041 03_collect-data-from-databases-case-study_instructions.html

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046 01_collect-data-from-apis.mp4

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049 02_collect-data-from-apis-demo_instructions.html

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055 01_data-integration.mp4

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059 02_data-integration-demo_instructions.html

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063 03_data-integration-case-study_instructions.html

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067 01_case-study-assignment_instructions.htm

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Section Quiz

03. data-understanding-and-visualization

002 02_activity-strategy_instructions.html

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008 03_data-statistics.mp4

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012 04_data-statistics-demo_instructions.html

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014 05_data-statistics-case-study_instructions.html

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020 01_data-visualization-with-pandas.mp4

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024 02_data-visualization-with-pandas-demo_instructions.html

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026 03_data-visualization-with-pandas-case-study_instructions.html

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032 01_data-visualization-with-matplotlib.mp4

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036 02_data-visualization-with-matplotlib-demo_instructions.html

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038 03_data-visualization-with-matplotlib-case-study_instructions.html

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043 01_data-visualization-with-seaborn.mp4

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046 02_data-visualization-with-seaborns-demo_instructions.html

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048 03_data-visualization-with-seaborn-case-study_instructions.html

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001 01_assessment-strategy_instructions.html

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Section Quiz

04. data-processing-and-manipulation

001 01_assessment-strategy_instructions.html

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002 02_activity-strategy_instructions.html

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008 03_missing-values.mp4

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012 04_missing-values-demo_instructions.html

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018 01_outliers-detection-using-statistics.mp4

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022 02_outliers-detection-using-statistics-demo_instructions.html

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028 01_outliers-detection-using-iqr.mp4

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032 02_outliers-detection-using-iqr_instructions.html

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037 01_dimension-elimination.mp4

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040 02_dimension-elimination-demo_instructions.html

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045 01_sampling.mp4

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048 02_sampling-demo_instructions.html

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050 03_data-reduction-case-study_instructions.html

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055 01_data-scaling.mp4

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058 02_data-scaling-demo_instructions.html

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063 01_data-discretization.mp4

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066 02_data-discretization-demo_instructions.html

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068 03_scaling-and-discretization-case-study_instructions.html

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074 01_pivot-table.mp4

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078 02_pivot-table-demo_instructions.html

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084 01_data-cube.mp4

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088 02_data-cube-demo_instructions.html

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090 03_data-warehouse-case-study_instructions.html

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Section Quiz

05. data-wrangling-with-python-project

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