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Welcome to the “Ultimate Beginners Guide to Pandas for Data Analysis” course, a comprehensive journey designed for beginners interested in exploring the Pandas library in the context of data analysis. This course has been carefully structured to provide a solid understanding of Pandas fundamentals and advanced techniques, empowering students to manipulate data with confidence and efficiency. Check out the modules and main topics below:
Section 1: Series
We start with Pandas installation and the creation of Series, the essential one-dimensional structure for storing data. Throughout the module, we explore fundamental concepts such as slicing, copying, accessing with iloc and loc, sorting, filtering, mathematical operations, and string manipulations. We also cover advanced topics, including numerical and categorical grouping, handling missing values, functions, and practical challenges.
Section 2: Dataframe
Continuing on, we delve into the creation and exploration of Dataframes, vital structures for analyzing more complex datasets. This module covers topics such as accessing with iloc and loc, manipulation of rows and columns, handling duplicate data and missing values, sorting, advanced filtering, creating and manipulating columns, aggregation, pivot tables, concatenation, joining, and import/export techniques. We include practical challenges to reinforce learning.
Section 3: Data Visualization
In the final module, we explore data visualization with Pandas. We cover the creation of line, bar, pie, scatter, and histogram plots, as well as formatting techniques and subplots. The module includes a practical challenge to apply the newly acquired skills in visualizing data.
Upon completing this course, participants will be equipped with the practical skills necessary to effectively use Pandas in data analysis. Get ready for an hands-on learning experience, empowering you to tackle real-world challenges in data manipulation and interpretation.
Dataframes
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3InstallationVideo lesson
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4Creating seriesVideo lesson
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5SlicingVideo lesson
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6Copy, conversion, and concatenationVideo lesson
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7Accessing elements with ilocVideo lesson
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8Accessing elements with locVideo lesson
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9OrderingVideo lesson
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10CountingVideo lesson
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11FilteringVideo lesson
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12Mathematical operationsVideo lesson
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13String operationsVideo lesson
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14Numerical groupingVideo lesson
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15Categorical groupingVideo lesson
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16Missing valuesVideo lesson
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17FunctionsVideo lesson
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18HOMEWORKVideo lesson
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19Homework solutionVideo lesson
Data visualization
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20Creating dataframesVideo lesson
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21Exploring dataframesVideo lesson
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22Accessing elements with iloc and locVideo lesson
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23Deleting rows and columnsVideo lesson
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24Duplicated rowsVideo lesson
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25Missing valuesVideo lesson
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26CountingVideo lesson
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27OrderingVideo lesson
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28FilteringVideo lesson
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29Rename and reorder columnsVideo lesson
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30Creating new columnsVideo lesson
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31Categorical featuresVideo lesson
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32AggregationVideo lesson
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33GroupingVideo lesson
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34Grouping with aggregationVideo lesson
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35Aggregation with transformVideo lesson
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36Pivot tablesVideo lesson
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37Concatenation and joiningVideo lesson
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38Date conversionsVideo lesson
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39Date indexesVideo lesson
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40Importation and exportationVideo lesson
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41HOMEWORKVideo lesson
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42Homework solutionVideo lesson
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Course Includes:
- Price:$54.99$14
- Instructor:admin
- Duration:6 total hours
Lessons:1 - Students:272
- Certifications:No
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