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Title [ DevCourseWeb.com ] Udemy - Python for Data Analysis and Visualization 2022
Category XXX
Size 3.53GB
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_01 Built In Functions 210B
_01 Excel and CSV 210B
_01 Objects and Variables 210B
_01 Python Operators 210B
_02 Categorical Plots 210B
_02 HTML 210B
_02 if-elif-else 210B
_02 Introduction to Series 210B
_02 Numbers 210B
_02 Objects Variables and Data Types 210B
_02 User Defined Functions 210B
_03 Control Flow and Loops 210B
_03 Creating a Plot Area 1 210B
_03 For Loops 210B
_03 Introduction to DataFrames 210B
_03 Relational Plots 210B
_03 Strings 210B
_03 User Defined Functions Examples 210B
_04 Creating a Plot Area 2 210B
_04 Distribution Plots 210B
_04 For Loops Continued 210B
_04 Functions 210B
_04 Selecting Data 1 210B
_04 String Operations 210B
_05 Bar Plots 210B
_05 Challenge Section - Core Python 210B
_05 Map and Filter 210B
_05 Regression Plots 210B
_05 Selecting Data 2 210B
_05 String Methods 210B
_05 While Loops 210B
_06 Break Continue Pass 210B
_06 Data Manipulation 1 210B
_06 Lamdba Functions 210B
_06 Line Plots 210B
_06 Matrix Plots 210B
_06 Modules Packages and Libraries 210B
_06 String Concat and Formatting 210B
_07 Data Manipulation 2 210B
_07 Error and Exception Handling 210B
_07 List Comprehension 210B
_07 Lists 210B
_07 Multi Plot Grids 210B
_07 NumPy 210B
_07 Scatter Plots 210B
_08 Challenge Section - NumPy 210B
_08 Data Aggregation and Grouping 210B
_08 Dictionaries 210B
_08 Histograms 210B
_08 Style and Presentation 210B
_09 Box Plots and Violin Plots 210B
_09 Data Cleansing 210B
_09 Pandas 210B
_09 Tuples and Sets 210B
_10 Booleans 210B
_10 Challenge Section - Pandas 210B
_10 Combining DataFrames 210B
_10 Style and Presentation 210B
_11 Additional Resources and Cheat Sheets 210B
_11 Data Sources 210B
_11 Windowing Operations 210B
_12 Matplotlib 210B
_13 Challenge Section - Matplotlib 210B
_14 Seaborn 210B
_15 Challenge Section - Seaborn 210B
_1 NumPy Overview 210B
_1 TfL Dataset Challenge 210B
_2 Array Slicing and Indexing 210B
_2 Employees Dataset Challenge 210B
_3 Array Manipulation Functions 210B
_4 Additional Array Creation Functions 210B
_5 Array Mathematics 210B
_6 IO Functions 210B
_booleans.ipynb 210B
_cheatsheets-1.webp 578B
_cheatsheets-2.webp 578B
_Course Resurces-Python for Data Analysis and Visualization 210B
_data_aggregation_and_grouping.ipynb 210B
_data_manipulation_1.ipynb 210B
_data_manipulation_2.ipynb 210B
_departments.csv 344B
_dictionaries.ipynb 210B
_employees_hr.xls 344B
_employees.csv 333B
_handout-beginner.pdf 522B
_handout-intermediate.pdf 530B
_handout-tips.pdf 514B
_lists.ipynb 210B
_numbers.ipynb 210B
_objects_variables.ipynb 210B
_players_21_top_100.csv 552B
_players_21.csv 552B
_players_21.csv 552B
_players_21.csv 552B
_players_21.csv 552B
_players_21.csv 552B
_salaries.csv 344B
_stocks.xlsx 344B
_string_concat_and_formatting.ipynb 210B
_string_methods.ipynb 210B
_string_operations.ipynb 210B
_strings.ipynb 210B
_tfl-daily-cycle-hires.csv 344B
_tfl-daily-cycle-hires.csv 334B
_tfl-daily-cycle-hires.csv 334B
_tfl-daily-cycle-hires.csv 334B
_tfl-daily-cycle-hires.csv 334B
_tfl-daily-cycle-hires.csv 334B
_tfl-daily-cycle-hires.txt 344B
_tfl-daily-cycle-hires-2018.csv 288B
_tfl-daily-cycle-hires-2019.csv 288B
_top_10_countries_no_header.csv 344B
_top_10_countries.csv 344B
_top_10_countries.csv 344B
_top_10_countries.csv 344B
_top_10_countries.csv 344B
_top_10_countries.csv 344B
_top_10_countries.csv 344B
_top_10_countries.csv 344B
_top_10_countries.csv 344B
_top_10_countries.xls 288B
_tuples_and_sets.ipynb 210B
1. Built-In Functions.mp4 81.82MB
1. Built-In Functions.srt 16.17KB
1. Built-In Modules.mp4 24.81MB
1. Built-In Modules.srt 4.04KB
1. Challenge Questions.mp4 22.10MB
1. Challenge Questions.srt 3.76KB
1. Challenge Questions Overview.mp4 23.42MB
1. Challenge Questions Overview.mp4 10.36MB
1. Challenge Questions Overview.mp4 37.13MB
1. Challenge Questions Overview.srt 3.26KB
1. Challenge Questions Overview.srt 1.78KB
1. Challenge Questions Overview.srt 7.70KB
1. Challenge Questions - TfL Dataset.mp4 8.56MB
1. Challenge Questions - TfL Dataset.srt 2.08KB
1. Course Overview.mp4 6.78MB
1. Course Overview.srt 3.45KB
1. Excel and CSV.mp4 21.18MB
1. Excel and CSV.srt 4.51KB
1. Matplotlib Overview.mp4 6.18MB
1. Matplotlib Overview.srt 2.72KB
1. NumPy Overview.mp4 54.07MB
1. NumPy Overview.srt 10.92KB
1. Objects and Variables Overview.mp4 53.59MB
1. Objects and Variables Overview.srt 11.67KB
1. Pandas Overview.mp4 8.91MB
1. Pandas Overview.srt 3.23KB
1. Python Operators.mp4 40.88MB
1. Python Operators.srt 8.64KB
1. Seaborn Overview.mp4 8.91MB
1. Seaborn Overview.srt 1.84KB
10. Box Plots and Violin Plots.mp4 39.67MB
10. Box Plots and Violin Plots.srt 7.17KB
10. Combining DataFrames.mp4 67.02MB
10. Combining DataFrames.srt 14.93KB
10. Lambda Functions.html 189B
10. List Comprehension.mp4 18.59MB
10. List Comprehension.srt 3.98KB
10. String Methods.html 189B
11. Errors and Exception Handling.mp4 24.34MB
11. Errors and Exception Handling.srt 5.36KB
11. List Comprehension.html 189B
11. String Concatenation and Formatting.mp4 17.10MB
11. String Concatenation and Formatting.srt 3.23KB
11. Style and Presentation.mp4 46.68MB
11. Style and Presentation.srt 8.91KB
11. Windowing Operations.mp4 33.70MB
11. Windowing Operations.srt 6.35KB
12. Additional Resources and Cheat Sheets.mp4 11.71MB
12. Additional Resources and Cheat Sheets.srt 3.28KB
12. IN and NOT IN.mp4 14.18MB
12. IN and NOT IN.srt 3.15KB
12. Lists.mp4 101.56MB
12. Lists.srt 17.67KB
13. Lists.html 189B
14. Lists.html 189B
15. Dictionaries.mp4 66.35MB
15. Dictionaries.srt 10.00KB
16. Dictionaries.html 189B
17. Tuples and Sets.mp4 53.37MB
17. Tuples and Sets.srt 7.39KB
18. Tuples and Sets.html 189B
19. Booleans.mp4 5.79MB
19. Booleans.srt 1.11KB
2. Array Slicing and Indexing.mp4 44.69MB
2. Array Slicing and Indexing.srt 7.68KB
2. Built-In Functions.html 189B
2. Categorical Plots.mp4 84.24MB
2. Categorical Plots.srt 17.71KB
2. Challenge Solutions.mp4 33.14MB
2. Challenge Solutions.srt 6.12KB
2. Choosing the Right Chart Type.mp4 8.55MB
2. Choosing the Right Chart Type.srt 2.82KB
2. Control Flow.mp4 64.46MB
2. Control Flow.srt 12.09KB
2. External Libraries.mp4 14.45MB
2. External Libraries.srt 3.40KB
2. HTML.mp4 24.46MB
2. HTML.srt 3.36KB
2. Introduction to Series.mp4 57.02MB
2. Introduction to Series.srt 9.50KB
2. Numbers.mp4 32.84MB
2. Numbers.srt 7.45KB
2. Solutions Walkthrough.mp4 31.78MB
2. Solutions Walkthrough.mp4 53.17MB
2. Solutions Walkthrough.mp4 40.52MB
2. Solutions Walkthrough.mp4 61.00MB
2. Solutions Walkthrough.srt 6.36KB
2. Solutions Walkthrough.srt 9.68KB
2. Solutions Walkthrough.srt 8.09KB
2. Solutions Walkthrough.srt 12.14KB
2. Udemy 101.html 2.08KB
20. Key Words in Python.html 554B
21. Data Types.html 189B
3. Array Manipulation Functions.mp4 51.58MB
3. Array Manipulation Functions.srt 10.02KB
3. Challenge Questions - Employees Dataset.mp4 6.57MB
3. Challenge Questions - Employees Dataset.srt 1.75KB
3. Control Flow.html 189B
3. Creating a Plot Area 1.mp4 72.05MB
3. Creating a Plot Area 1.srt 15.70KB
3. Databases.mp4 28.14MB
3. Databases.srt 5.81KB
3. Integer Variables.html 189B
3. Introduction to DataFrames.mp4 84.61MB
3. Introduction to DataFrames.srt 15.18KB
3. Python Overview.mp4 21.31MB
3. Python Overview.srt 5.54KB
3. Relational Plots.mp4 72.91MB
3. Relational Plots.srt 12.10KB
3. User Defined Functions.mp4 40.94MB
3. User Defined Functions.srt 6.58KB
4. Additional Array Creation Functions.mp4 38.85MB
4. Additional Array Creation Functions.srt 7.89KB
4. Anaconda Distribution Installation.mp4 45.20MB
4. Anaconda Distribution Installation.srt 4.82KB
4. Creating a Plot Area 2.mp4 36.75MB
4. Creating a Plot Area 2.srt 6.43KB
4. Distribution Plots.mp4 62.19MB
4. Distribution Plots.srt 12.05KB
4. Float Variables.html 189B
4. For Loops.mp4 61.89MB
4. For Loops.srt 13.39KB
4. Pandas Input and Output Methods.mp4 4.62MB
4. Pandas Input and Output Methods.srt 1.05KB
4. Selecting Data.mp4 78.65MB
4. Selecting Data.srt 10.87KB
4. Solutions Walkthrough.mp4 55.88MB
4. Solutions Walkthrough.srt 11.14KB
4. User Defined Functions - Examples.mp4 41.58MB
4. User Defined Functions - Examples.srt 9.44KB
5. Array Arithmetic and Mathematical Functions.mp4 59.08MB
5. Array Arithmetic and Mathematical Functions.srt 11.46KB
5. Bar Plots.mp4 92.57MB
5. Bar Plots.srt 16.83KB
5. For Loops (continued).mp4 28.56MB
5. For Loops (continued).srt 5.19KB
5. Jupyter Notebook 101.mp4 73.25MB
5. Jupyter Notebook 101.srt 10.65KB
5. Regression Plots.mp4 38.52MB
5. Regression Plots.srt 8.25KB
5. Selecting Data 2.mp4 9.86MB
5. Selecting Data 2.srt 1.89KB
5. Strings.mp4 39.12MB
5. Strings.srt 4.89KB
5. User Defined Functions.html 189B
6. Data Manipulation 1.mp4 109.21MB
6. Data Manipulation 1.srt 15.21KB
6. For Loops.html 189B
6. IO Functions in NumPy.mp4 57.64MB
6. IO Functions in NumPy.srt 9.99KB
6. Jupyter Notebook - Adding Comments in Cells.mp4 3.48MB
6. Jupyter Notebook - Adding Comments in Cells.srt 993B
6. Line Plots.mp4 36.91MB
6. Line Plots.srt 7.46KB
6. Matrix Plots.mp4 36.51MB
6. Matrix Plots.srt 7.64KB
6. Print Formatting with Strings.html 189B
6. User Defined Functions.html 189B
7. Arguments and Keyword Arguments.mp4 78.34MB
7. Arguments and Keyword Arguments.srt 11.04KB
7. Course Resources - Important!.mp4 22.58MB
7. Course Resources - Important!.srt 2.71KB
7. Data Manipulation 2.mp4 60.08MB
7. Data Manipulation 2.srt 9.46KB
7. FIFA 21 Player Dataset.html 1.07KB
7. For Loops.html 189B
7. Multi Plot Grids.mp4 108.52MB
7. Multi Plot Grids.srt 18.14KB
7. String Operations.mp4 50.19MB
7. String Operations.srt 8.36KB
8. Data Aggregation and Grouping.mp4 77.88MB
8. Data Aggregation and Grouping.srt 13.53KB
8. Map and Filter.mp4 32.44MB
8. Map and Filter.srt 6.95KB
8. Scatter Plots.mp4 32.44MB
8. Scatter Plots.srt 5.13KB
8. String Indexing and Slicing Quiz.html 189B
8. Style and Presentation.mp4 45.28MB
8. Style and Presentation.srt 6.23KB
8. While Loops.mp4 17.57MB
8. While Loops.srt 2.98KB
9. Break, Continue and Pass Statements.mp4 18.50MB
9. Break, Continue and Pass Statements.srt 5.53KB
9. Data Cleansing.mp4 49.26MB
9. Data Cleansing.srt 9.75KB
9. Histograms.mp4 23.21MB
9. Histograms.srt 4.51KB
9. Lambda Functions.mp4 22.93MB
9. Lambda Functions.srt 4.60KB
9. String Methods and Properties.mp4 54.52MB
9. String Methods and Properties.srt 8.84KB
array_creation_functions.ipynb 451.38KB
array_indexing_and_slicing.ipynb 604.42KB
array_manipulation_functions.ipynb 1.07MB
array_mathematics.ipynb 490.56KB
bar_plots.ipynb 122.27KB
Bonus Resources.txt 386B
booleans.ipynb 3.01KB
box_plots_and_violin_plots.ipynb 62.57KB
break_continue_pass.ipynb 4.26KB
built-in_functions.ipynb 3.52MB
categorical_plots.ipynb 341.02KB
challenge_questions_core_python_SOLUTIONS.ipynb 18.16KB
challenge_questions_core_python.ipynb 11.37KB
challenge_questions_employees_SOLUTIONS.ipynb 52.19KB
challenge_questions_employees.ipynb 8.39KB
challenge_questions_matplotlib_SOLUTIONS.ipynb 308.17KB
challenge_questions_matplotlib.ipynb 29.04KB
challenge_questions_numpy_SOLUTIONS.ipynb 13.30KB
challenge_questions_numpy.ipynb 9.92KB
challenge_questions_seaborn_SOLUTIONS.ipynb 535.83KB
challenge_questions_seaborn.ipynb 19.01KB
challenge_questions_tfl_SOLUTIONS.ipynb 36.50KB
challenge_questions_tfl.ipynb 6.66KB
cheatsheets-1.webp 156.03KB
cheatsheets-2.webp 199.28KB
combining_dataframes.ipynb 379.19KB
creating_a_plot_area_1.ipynb 152.52KB
creating_a_plot_area_2.ipynb 90.97KB
data_aggregation_and_grouping.ipynb 282.10KB
data_cleansing.ipynb 234.35KB
data_manipulation_1.ipynb 486.31KB
data_manipulation_2.ipynb 217.27KB
departments.csv 193B
dictionaries.ipynb 81.85KB
distribution_plots.ipynb 313.08KB
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employees_hr.xls 31.00KB
employees.csv 24.05KB
error_and_exception_handling.ipynb 854.60KB
examples.ipynb 6.95KB
excel_and_csv.ipynb 10.47KB
for_loops_continued.ipynb 271.39KB
for_loops.ipynb 274.30KB
Get Bonus Downloads Here.url 182B
handout-beginner.pdf 154.54KB
handout-intermediate.pdf 111.02KB
handout-tips.pdf 76.49KB
histograms.ipynb 56.12KB
html.ipynb 8.67KB
if_elif_else.ipynb 165.32KB
introduction_to_dataframes.ipynb 818.83KB
introduction_to_series.ipynb 126.76KB
io_functions.ipynb 3.56KB
lambda_functions.ipynb 80.87KB
line_plots.ipynb 67.71KB
list_comprehension.ipynb 289.80KB
lists.ipynb 62.87KB
map_and_filter.ipynb 76.21KB
matrix_plots.ipynb 109.23KB
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numbers.ipynb 8.83KB
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objects_variables.ipynb 6.94KB
players_21_top_100.csv 5.69MB
players_21.csv 9.44MB
players_21.csv 9.44MB
players_21.csv 9.44MB
players_21.csv 9.44MB
players_21.csv 9.44MB
python_operators.ipynb 13.24KB
regression_plots.ipynb 647.05KB
relational_plots.ipynb 764.68KB
salaries.csv 15.65KB
scatter_plots.ipynb 120.87KB
selecting_data_1.ipynb 92.94KB
selecting_data_2.ipynb 45.35KB
stocks.xlsx 226.96KB
string_concat_and_formatting.ipynb 7.83KB
string_methods.ipynb 11.98KB
string_operations.ipynb 25.33KB
strings.ipynb 41.34KB
style_and_presentation.ipynb 572.75KB
style_and_presentation.ipynb 533.54KB
tfl-daily-cycle-hires.csv 87.52KB
tfl-daily-cycle-hires.csv 87.52KB
tfl-daily-cycle-hires.csv 71.58KB
tfl-daily-cycle-hires.csv 87.52KB
tfl-daily-cycle-hires.csv 87.52KB
tfl-daily-cycle-hires.csv 87.52KB
tfl-daily-cycle-hires.txt 87.52KB
tfl-daily-cycle-hires-2018.csv 6.43KB
tfl-daily-cycle-hires-2019.csv 6.44KB
top_10_countries_no_header.csv 515B
top_10_countries.csv 576B
top_10_countries.csv 564B
top_10_countries.csv 564B
top_10_countries.csv 528B
top_10_countries.csv 528B
top_10_countries.csv 528B
top_10_countries.csv 528B
top_10_countries.csv 676B
top_10_countries.xls 25.50KB
tuples_and_sets.ipynb 13.03KB
user_defined_functions.ipynb 216.37KB
while_loops.ipynb 202.13KB
windowing_operations.ipynb 162.36KB
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