FreeCourseSite com Udemy Data Analysis with Pandas and Python | 6A8404D24C7097CAF190EE9590A491C99E9BA88D

FreeCourseSite com Udemy Data Analysis with Pandas and Python

Name	[FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.5 GB
Total Files	196
Hash	6A8404D24C7097CAF190EE9590A491C99E9BA88D

/1. Installation and Setup/
1. Introduction to the Course.mp4	35.7 MB
1.1 pandas.zip.zip	701.2 KB
10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4	20.0 MB
11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4	16.2 MB
12. Intro to the Jupyter Notebook Interface.mp4	9.8 MB
13. Cell Types and Cell Modes.mp4	12.3 MB
14. Code Cell Execution.mp4	8.6 MB
15. Popular Keyboard Shortcuts.mp4	6.6 MB
16. Import Libraries into Jupyter Notebook.mp4	12.1 MB
17. Python Crash Course, Part 1 - Data Types and Variables.mp4	12.6 MB
18. Python Crash Course, Part 2 - Lists.mp4	9.4 MB
19. Python Crash Course, Part 3 - Dictionaries.mp4	7.6 MB
2. Completed Course Files.html	0.9 KB
2.1 CompletedCourseFiles.zip.zip	372.1 KB
20. Python Crash Course, Part 4 - Operators.mp4	8.3 MB
21. Python Crash Course, Part 5 - Functions.mp4	10.6 MB
3. Mac OS - Download the Anaconda Distribution.mp4	8.3 MB
4. Mac OS - Install Anaconda Distribution.mp4	18.9 MB
5. Mac OS - Access the Terminal.mp4	6.7 MB
6. Mac OS - Update Anaconda Libraries.mp4	37.0 MB
7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4	23.2 MB
8. Windows - Download the Anaconda Distribution.mp4	8.0 MB
9. Windows - Install Anaconda Distribution.mp4	15.9 MB
/10. Working with Dates and Times/
1. Intro to the Working with Dates and Times Module.mp4	6.6 MB
10. Install pandas-datareader Library.mp4	6.2 MB
11. Import Financial Data Set with pandas_datareader Library.mp4	26.7 MB
12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4	19.2 MB
13. Timestamp Object Attributes.mp4	20.5 MB
14. The .truncate() Method.mp4	9.5 MB
15. pd.DateOffset Objects.mp4	26.8 MB
16. More Fun with pd.DateOffset Objects.mp4	33.5 MB
17. The pandas Timedelta Object.mp4	16.2 MB
18. Timedeltas in a Dataset.mp4	20.5 MB
2. Review of Python's datetime Module.mp4	17.6 MB
3. The pandas Timestamp Object.mp4	13.4 MB
4. The pandas DateTimeIndex Object.mp4	10.1 MB
5. The pd.to_datetime() Method.mp4	24.0 MB
6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4	20.6 MB
7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4	19.4 MB
8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4	17.1 MB
9. The .dt Accessor.mp4	14.4 MB
/11. Panels/
1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4	14.3 MB
10. The .swapaxes() Method.mp4	10.2 MB
11. A Review of the Panels Module.html	0.1 KB
2. The Axes of a Panel Object.mp4	17.1 MB
3. Panel Attributes.mp4	11.0 MB
4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4	8.7 MB
5. Extracting with the .loc, .iloc, and .ix Methods.mp4	14.2 MB
6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4	9.1 MB
7. The .major_xs() Method.mp4	12.7 MB
8. The .minor_xs() Method.mp4	14.3 MB
9. Transpose a Panel with the .transpose() Method.mp4	16.5 MB
/12. Input and Output/
1. Intro to the Input and Output Module.mp4	2.9 MB
2. Feed pd.read_csv() Method a URL Argument.mp4	8.0 MB
3. Quick Object Conversions.mp4	11.9 MB
4. Export DataFrame to CSV File with the .to_csv() Method.mp4	11.2 MB
5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4	6.3 MB
6. Import Excel File into pandas.mp4	20.1 MB
7. Export Excel File.mp4	18.7 MB
8. Input and Output.html	0.1 KB
/13. Visualization/
1. Intro to Visualization Module.mp4	7.7 MB
2. The .plot() Method.mp4	19.9 MB
3. Modifying Aesthetics with Templates.mp4	12.7 MB
4. Bar Graphs.mp4	12.9 MB
5. Pie Charts.mp4	10.4 MB
6. Histograms.mp4	12.8 MB
7. Visualization.html	0.1 KB
/14. Options and Settings/
1. Introduction to the Options and Settings Module.mp4	3.5 MB
2. Changing pandas Options with Attributes and Dot Syntax.mp4	20.8 MB
3. Changing pandas Options with Methods.mp4	14.6 MB
4. The precision Option.mp4	6.4 MB
/15. Conclusion/
1. Conclusion.mp4	3.1 MB
/2. Series/
1. Create Jupyter Notebook for the Series Module.mp4	4.0 MB
10. More Series Attributes.mp4	12.2 MB
11. The .sort_values() Method.mp4	11.4 MB
11.1 Official pandas Documentation.html	0.1 KB
12. The inplace Parameter.mp4	9.9 MB
13. The .sort_index() Method.mp4	9.0 MB
13.1 Official pandas Documentation.html	0.1 KB
14. Python's in Keyword.mp4	7.7 MB
15. Extract Series Values by Index Position.mp4	9.3 MB
16. Extract Series Values by Index Label.mp4	14.4 MB
17. The .get() Method on a Series.mp4	10.0 MB
18. Math Methods on Series Objects.mp4	10.7 MB
19. The .idxmax() and .idxmin() Methods.mp4	6.0 MB
2. Create A Series Object from a Python List.mp4	19.0 MB
20. The .value_counts() Method.mp4	7.1 MB
21. The .apply() Method.mp4	12.9 MB
22. The .map() Method.mp4	13.7 MB
23. A Review of the Series Module.html	0.1 KB
3. Create A Series Object from a Python Dictionary.mp4	5.4 MB
4. Intro to Attributes.mp4	13.5 MB
5. Intro to Methods.mp4	8.3 MB
6. Parameters and Arguments.mp4	19.2 MB
7. Import Series with the .read_csv() Method.mp4	22.2 MB
8. The .head() and .tail() Methods.mp4	6.8 MB
8.1 Official pandas Documentation.html	0.1 KB
9. Python Built-In Functions.mp4	10.3 MB
/3. DataFrames I/
1. Intro to DataFrames I Module.mp4	18.5 MB
10. Fill in Null Values with the .fillna() Method.mp4	11.3 MB
10.1 Official pandas Documentation.html	0.1 KB
11. The .astype() Method.mp4	25.0 MB
11.1 Official pandas Documentation.html	0.1 KB
12. Sort a DataFrame with the .sort_values() Method, Part I.mp4	13.9 MB
12.1 Official pandas Documentation.html	0.1 KB
13. Sort a DataFrame with the .sort_values() Method, Part II.mp4	9.3 MB
13.1 Official pandas Documentation.html	0.1 KB
14. Sort DataFrame with the .sort_index() Method.mp4	6.9 MB
14.1 Official pandas Documentation.html	0.1 KB
15. Rank Values with the .rank() Method.mp4	13.8 MB
15.1 Official pandas Documentation.html	0.1 KB
2. Shared Methods and Attributes between Series and DataFrames.mp4	16.4 MB
3. Differences between Shared Methods.mp4	13.7 MB
4. Select One Column from a DataFrame.mp4	15.6 MB
5. Select Two or More Columns from a DataFrame.mp4	10.4 MB
6. Add New Column to DataFrame.mp4	18.1 MB
7. Broadcasting Operations.mp4	19.1 MB
8. A Review of the .value_counts() Method.mp4	8.8 MB
9. Drop Rows with Null Values.mp4	20.1 MB
/4. DataFrames II/
1. This Module's Dataset + Memory Optimization.mp4	25.6 MB
10. The .unique() and .nunique() Methods.mp4	8.6 MB
2. Filter a DataFrame Based on A Condition.mp4	28.7 MB
3. Filter with More than One Condition (AND - &).mp4	9.7 MB
4. Filter with More than One Condition (OR - ).mp4	17.6 MB
5. The .isin() Method.mp4	13.1 MB
6. The .isnull() and .notnull() Methods.mp4	12.9 MB
7. The .between() Method.mp4	17.6 MB
8. The .duplicated() Method.mp4	20.5 MB
9. The .drop_duplicates() Method.mp4	18.4 MB
/5. DataFrames III/
1. Intro to the DataFrames III Module + Import Dataset.mp4	8.0 MB
10. Delete Rows or Columns from a DataFrame.mp4	17.0 MB
11. Create Random Sample with the .sample() Method.mp4	9.8 MB
12. The .nsmallest() and .nlargest() Methods.mp4	12.7 MB
13. Filtering with the .where() Method.mp4	14.2 MB
14. The .query() Method.mp4	20.9 MB
15. A Review of the .apply() Method on Single Columns.mp4	12.3 MB
16. The .apply() Method with Row Values.mp4	14.1 MB
17. The .copy() Method.mp4	16.2 MB
2. The .set_index() and .reset_index() Methods.mp4	13.8 MB
2.1 set_index Documentation.html	0.1 KB
2.2 reset_index Documentation.html	0.1 KB
3. Retrieve Rows by Index Label with .loc[].mp4	27.1 MB
3.1 loc[] Documentation.html	0.1 KB
4. Retrieve Rows by Index Position with .iloc[].mp4	14.0 MB
5. The Catch-All .ix[] Method.mp4	19.5 MB
6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4	13.0 MB
7. Set New Values for a Specific Cell or Row.mp4	9.3 MB
8. Set Multiple Values in DataFrame.mp4	21.5 MB
9. Rename Index Labels or Columns in a DataFrame.mp4	14.1 MB
/6. Working with Text Data/
1. Intro to the Working with Text Data Module.mp4	14.5 MB
2. Common String Methods - lower, upper, title, and len.mp4	15.6 MB
3. The .str.replace() Method.mp4	16.8 MB
4. Filtering with String Methods.mp4	16.3 MB
5. More String Methods - strip, lstrip, and rstrip.mp4	10.0 MB
6. String Methods on Index and Columns.mp4	11.7 MB
7. Split Strings by Characters with .str.split() Method.mp4	18.4 MB
8. More Practice with Splits.mp4	12.5 MB
9. The expand and n Parameters of the .str.split() Method.mp4	16.0 MB
/7. MultiIndex/
1. Intro to the MultiIndex Module.mp4	8.7 MB
10. The .unstack() Method, Part 1.mp4	8.9 MB
11. The .unstack() Method, Part 2.mp4	15.2 MB
12. The .unstack() Method, Part 3.mp4	12.6 MB
13. The .pivot() Method.mp4	12.7 MB
14. The .pivot_table() Method.mp4	23.2 MB
15. The pd.melt() Method.mp4	18.1 MB
2. Create a MultiIndex with the set_index() Method.mp4	22.1 MB
3. The .get_level_values() Method.mp4	17.4 MB
4. The .set_names() Method.mp4	6.4 MB
5. The sort_index() Method.mp4	10.7 MB
6. Extract Rows from a MultiIndex DataFrame.mp4	18.2 MB
7. The .transpose() Method and MultiIndex on Column Level.mp4	12.5 MB
8. The .swaplevel() Method.mp4	5.4 MB
9. The .stack() Method.mp4	13.8 MB
/8. GroupBy/
1. Intro to the Groupby Module.mp4	15.0 MB
2. First Operations with groupby Object.mp4	24.2 MB
3. Retrieve A Group with the .get_group() Method.mp4	10.6 MB
4. Methods on the Groupby Object and DataFrame Columns.mp4	21.5 MB
5. Grouping by Multiple Columns.mp4	10.9 MB
6. The .agg() Method.mp4	13.8 MB
7. Iterating through Groups.mp4	22.4 MB
/9. Merging, Joining, and Concatenating/
1. Intro to the Merging, Joining, and Concatenating Module.mp4	12.0 MB
10. Merging by Indexes with the left_index and right_index Parameters.mp4	23.8 MB
11. The .join() Method.mp4	6.6 MB
12. The pd.merge() Method.mp4	7.2 MB
2. The pd.concat() Method, Part 1.mp4	13.2 MB
3. The pd.concat() Method, Part 2.mp4	13.9 MB
4. The .append() Method on a DataFrame.mp4	5.4 MB
5. Inner Joins, Part 1.mp4	18.8 MB
6. Inner Joins, Part 2.mp4	17.4 MB
7. Outer Joins.mp4	27.2 MB
8. Left Joins.mp4	22.0 MB
9. The left_on and right_on Parameters.mp4	21.2 MB
/
[FreeCourseSite.com].txt	1.1 KB
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Total files 196