[GigaCourse.Com] Udemy - Python Data Science with Pandas Master 12 Advanced Projects

Creation Time	Nov. 28, 2023, 2:54 p.m.
Last Access Time	June 22, 2025, 11:34 a.m.
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Keywords	12 Pandas Python Data - Udemy Master GigaCourse Science Com with Advanced Projects
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Total Files	399
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9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/99 - Which Factors influence House Prices.mp4 72.4 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/49 - Project-04-Materials.zip 69.7 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/136 - Project Brief for SelfCoders.mp4 68.1 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/126 - Transforming the Data.mp4 64.3 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/69 - Project-06-Materials.zip 64.3 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/10 - Data Import from csv file and first Inspection.mp4 63.1 MB
15 - Appendix Pandas Crash Course/170 - Selecting Rows with iloc positionbased indexing.mp4 61.0 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/127 - Explanatory Data Analysis Risk Return & Correlations.mp4 60.6 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/14 - What are the most common Words in Movie Titles Taglines and Overviews.mp4 57.7 MB
15 - Appendix Pandas Crash Course/177 - Analyzing Numerical Series with unique nunique and valuecounts.mp4 57.2 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/25 - Importing Data from JSON files.mp4 56.5 MB
15 - Appendix Pandas Crash Course/174 - Slicing Rows and Columns with loc labelbased indexing.mp4 55.7 MB
15 - Appendix Pandas Crash Course/163 - Create your very first Pandas DataFrame from csv.mp4 55.5 MB
15 - Appendix Pandas Crash Course/185 - Data Visualization with Matplotlib.mp4 51.4 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/143 - Statistical Analysis and Hypothesis Testing with scipy.mp4 50.9 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/62 - How to load Data from DataFrames into an SQLite Database.mp4 48.2 MB
15 - Appendix Pandas Crash Course/190 - splitapplycombine applied.mp4 46.6 MB
1 - Getting Started/4 - How to download and install Anaconda for Python coding.mp4 45.6 MB
1 - Getting Started/5 - Jupyter Notebooks let´s get started.mp4 44.1 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/18 - The most successful Actors Part 1.mp4 43.3 MB
15 - Appendix Pandas Crash Course/165 - First Data Inspection.mp4 43.2 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/27 - What is an API The Movie Database API.mp4 42.9 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/130 - Index Tracking A simple Tracking Portfolio.mp4 42.9 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/82 - Project Brief for SelfCoders.mp4 42.5 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/89 - Visualizing Name Trends over Time.mp4 42.4 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/40 - How to flatten nested Columns.mp4 41.2 MB
1 - Getting Started/6 - How to work with Jupyter Notebooks.mp4 41.1 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/100 - Advanced Explanatory Data Analyis with Seaborn.mp4 41.1 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/13 - Which Movie would you like to see next.mp4 41.0 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/160 - Removal of prior Version Deprecations.mp4 40.3 MB
15 - Appendix Pandas Crash Course/192 - Data with DateTime Information Part 2.mp4 37.7 MB
15 - Appendix Pandas Crash Course/194 - Data with DateTime Information Part 4.mp4 37.3 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/26 - JSON and OrientationFormats.mp4 36.2 MB
1 - Getting Started/2 - Tips How to get the most out of this Course don´t skip.mp4 35.7 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/31 - Importing and Storing the Movies Dataset Best Practice.mp4 35.6 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/131 - Index Tracking The optimal Tracking Portfolio.mp4 35.3 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/133 - Forward Testing Part 2.mp4 34.4 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/54 - Cleaning and Transforming the new Cast Column.mp4 33.7 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/96 - Project Brief for SelfCoders.mp4 33.3 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/65 - Some more SQL Queries.mp4 33.2 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/142 - Do GDP Population and Politics matter.mp4 33.1 MB
15 - Appendix Pandas Crash Course/184 - Userdefined Functions with apply map and applymap.mp4 33.1 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/132 - Forward Testing Part 1.mp4 32.7 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/28 - Working with APIs and JSON Part 1.mp4 32.1 MB
15 - Appendix Pandas Crash Course/188 - Splitting with many Keys.mp4 31.7 MB
15 - Appendix Pandas Crash Course/189 - splitapplycombine explained.mp4 31.6 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/147 - Do Traditions matter.mp4 31.4 MB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/110 - Normalizing Unicode Strings and Getting the Ticker Symbols.mp4 31.3 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/38 - How to handle stringified JSON columns Part 1.mp4 31.0 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/11 - The best and the worst movies Part 1.mp4 30.9 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/128 - Index Tracking Introduction.mp4 30.7 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/67 - Final Case Study.mp4 30.3 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/139 - Data Cleaning Part 1.mp4 30.0 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/97 - Data Import and first Inspection.mp4 29.4 MB
1 - Getting Started/1 - Course Overview don´t skip.mp4 29.1 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/64 - Some simple SQL Queries.mp4 28.8 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/119 - More complex Strategies & Backtesting vs Fitting.mp4 28.6 MB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/109 - Web Scraping the Dow Jones Constituents.mp4 28.0 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/92 - Persistant vs SpikeFade Names.mp4 28.0 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/91 - Why does a Name´s Popularity suddenly change Part 2.mp4 27.9 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/46 - Handling Missing Values & Removing ObervationsRows.mp4 27.5 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/73 - Importing & merging many Files easy case.mp4 27.4 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/16 - What are the most successful Franchises.mp4 27.4 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/117 - Backtesting a simple Momentum Strategy.mp4 26.7 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/144 - Aggregating and Ranking.mp4 26.6 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/93 - Most Popular Unisex Names.mp4 26.6 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/55 - Cleaning and Transforming the new Crew Column.mp4 26.4 MB
15 - Appendix Pandas Crash Course/166 - Builtin Functions Attributes and Methods with Pandas.mp4 26.4 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/41 - How to clean Numerical Columns Part 1.mp4 26.3 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/121 - Backtesting Simple Moving Averages SMA Strategies.mp4 26.3 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/35 - Project Brief for SelfCoders.mp4 26.3 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/30 - Working with APIs and JSON Part 2.mp4 25.5 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/141 - What are the most successful countries of all times.mp4 25.2 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/44 - How to clean String Text Columns.mp4 24.9 MB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/112 - Loading and Saving Historical Stock Prices.mp4 24.7 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/42 - How to clean Numerical Columns Part 2.mp4 24.5 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/138 - Merging and Concatenating.mp4 24.4 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/19 - The most successful Actors Part 2.mp4 24.4 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/98 - Data Cleaning and Creating additional Features.mp4 24.4 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/157 - The NEW StringDtype.mp4 24.4 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/125 - Importing & Merging the Data.mp4 24.1 MB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/111 - Download and Installation of an API Wrapper Package.mp4 23.8 MB
15 - Appendix Pandas Crash Course/180 - Filtering DataFrames by one Condition.mp4 23.5 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/129 - Index Tracking Selecting the Tracking Stocks.mp4 23.4 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/104 - Training the ML Model Random Forest.mp4 23.3 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/145 - Summer Games vs Winter Games does Geographical Location matter.mp4 23.2 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/66 - Join Queries.mp4 22.8 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/34 - Project-03-Materials.zip 22.7 MB
15 - Appendix Pandas Crash Course/187 - Understanding the GroupBy Object.mp4 22.2 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/155 - NEW pdNA value for missing values.mp4 22.2 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/60 - Project Brief for SelfCoders.mp4 22.1 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/12 - The best and the worst movies Part 2.mp4 21.9 MB
15 - Appendix Pandas Crash Course/164 - Pandas Display Options and the methods head & tail.mp4 21.9 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/17 - The most successful Directors.mp4 21.7 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/116 - Data Visualization & Returns.mp4 21.0 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/90 - Why does a Name´s Popularity suddenly change Part 1.mp4 20.6 MB
15 - Appendix Pandas Crash Course/167 - Selecting Columns.mp4 20.6 MB
15 - Appendix Pandas Crash Course/191 - Data with DateTime Information Part 1.mp4 19.9 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/47 - Final Steps.mp4 19.8 MB
15 - Appendix Pandas Crash Course/171 - Slicing Rows and Columns with iloc positionbased indexing.mp4 19.1 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/154 - Creating the NEW extension dtypes with convertdtypes.mp4 19.1 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/15 - Are Franchises more successful.mp4 19.1 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/151 - Important Recap Pandas Display Options Changed in Version 025.mp4 19.0 MB
15 - Appendix Pandas Crash Course/178 - Analyzing nonnumerical Series with unique nunique valuecounts.mp4 18.9 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/51 - Getting the Datasets.mp4 17.8 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/72 - Importing one File & Understanding the Data Structure easy case.mp4 17.8 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/88 - Creating the Features Popularity and Rank.mp4 17.4 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/45 - How to remove Duplicates.mp4 17.1 MB
15 - Appendix Pandas Crash Course/179 - Sorting of Series and Introduction to the inplace parameter.mp4 17.0 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/103 - Splitting the Data into Train and Test Set.mp4 16.8 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/63 - How to load Data from SQLite Databases into DataFrames.mp4 16.5 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/122 - Backtesting the Perfect Strategy in case you can predict the future.mp4 16.3 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/140 - Data Cleaning Part 2.mp4 16.3 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/85 - Advanced Data Aggregation.mp4 16.1 MB
15 - Appendix Pandas Crash Course/183 - Creating Columns based on other Columns.mp4 16.0 MB
15 - Appendix Pandas Crash Course/193 - Data with DateTime Information Part 3.mp4 15.6 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/153 - NEW Extension dtypes nullable dtypes Why do we need them.mp4 15.6 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/101 - Feature Engineering Part 1.mp4 15.5 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/156 - The NEW nullable Int64Dtype.mp4 15.5 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/8 - Project-01-Materials.zip 15.2 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/87 - General Trends over Time 1880 2018.mp4 15.1 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/146 - Men vs Women do Culture & Religion matter.mp4 15.0 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/118 - Backtesting a simple Contrarian Strategy.mp4 15.0 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/7 - Project Overview.mp4 14.8 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/39 - How to handle stringified JSON columns Part 2.mp4 14.7 MB
15 - Appendix Pandas Crash Course/176 - First Steps with Pandas Series.mp4 14.3 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/9 - Project Brief for SelfCoders.mp4 14.2 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/53 - Merging the Data Left Join.mp4 14.0 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/137 - Data Import and first Inspection.mp4 13.9 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/75 - Project Brief for SelfCoders Part 2.mp4 13.8 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/159 - Addition of the ignoreindex parameter.mp4 13.4 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/120 - Simple Moving Averages SMA.mp4 13.3 MB
15 - Appendix Pandas Crash Course/182 - Filtering DataFrames by many Conditions OR.mp4 12.9 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/158 - The NEW nullable BooleanDtype.mp4 12.8 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/36 - First Steps.mp4 12.7 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/105 - Evaluating the Model on the Test Set.mp4 12.5 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/24 - Project Brief for SelfCoders.mp4 12.3 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/83 - First Inspection The most popular Names in 2018.mp4 12.2 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/32 - Importing and Storing the Movies Dataset Real World Scenario.mp4 11.9 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/115 - Importing the Data.mp4 11.9 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/43 - How to clean Columns with DateTime Information.mp4 11.6 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/86 - What are the most popular Names of all Times.mp4 11.5 MB
15 - Appendix Pandas Crash Course/173 - Selecting Rows with loc labelbased indexing.mp4 11.3 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/70 - Project Brief for SelfCoders Part 1.mp4 11.1 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/148 - Intro and Overview.mp4 11.1 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/102 - Feature Engineering Part 2.mp4 11.0 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/50 - Project Brief for SelfCoders.mp4 10.8 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/58 - What is a Database SQL.mp4 10.6 MB
15 - Appendix Pandas Crash Course/161 - Intro to Tabular Data Pandas.mp4 10.4 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/61 - How to create an SQLite Database.mp4 10.2 MB
15 - Appendix Pandas Crash Course/181 - Filtering DataFrames by many Conditions AND.mp4 9.9 MB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/8 - Downloads Project 1.mp4 9.8 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/77 - The glob module.mp4 9.4 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/37 - Dropping irrelevant Columns.mp4 9.1 MB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/123 - Project Overview.mp4 9.0 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/81 - Project-07-Materials.zip 8.7 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/84 - Evergreen Names 1880 2018.mp4 8.0 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/78 - Importing & merging many Files complex case.mp4 7.9 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/71 - Getting the Data from the Web.mp4 7.8 MB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/152 - Info method new and extended output.mp4 7.5 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/29 - How to work with your own APIKEY.mp4 6.8 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/52 - Preparing the Data for Merge.mp4 6.7 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/79 - Excursus Saving Memory Categorical Features.mp4 6.3 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/21 - Project Overview.mp4 6.0 MB
15 - Appendix Pandas Crash Course/169 - Zerobased Indexing and Negative Indexing.mp4 6.0 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/106 - Feature Importance.mp4 5.9 MB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/22 - What is JSON.mp4 5.9 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/76 - Importing one File & Understanding the Data Structure complex case.mp4 5.3 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/74 - Final Steps.mp4 4.4 MB
15 - Appendix Pandas Crash Course/168 - Selecting one Column with the dot notation.mp4 4.3 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/134 - Project Overview.mp4 4.3 MB
15 - Appendix Pandas Crash Course/186 - GroupBy an Introduction.mp4 4.0 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/56 - Final Steps.mp4 3.4 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/94 - Project Overview.mp4 3.3 MB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/33 - Project Overview.mp4 2.9 MB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/107 - Project Overview.mp4 2.9 MB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/57 - Project Overview.mp4 2.4 MB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/80 - Project Overview.mp4 2.3 MB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/48 - Project Overview.mp4 2.0 MB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/68 - Project Overview.mp4 1.9 MB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/113 - Project Overview.mp4 1.9 MB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/95 - Project-08-Materials.zip 1.5 MB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/135 - Project-12-Materials.zip 1023.1 KB
15 - Appendix Pandas Crash Course/162 - Appendix-Materials.zip 625.8 KB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/124 - Project-11-Materials.zip 453.5 KB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/108 - Project-09-Materials.zip 451.5 KB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/22 - API-JSON.pdf 420.9 KB
15 - Appendix Pandas Crash Course/169 - positions.pdf 194.2 KB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/114 - Project-10-Materials.zip 79.6 KB
15 - Appendix Pandas Crash Course/172 - pandas-iloc.pdf 72.0 KB
15 - Appendix Pandas Crash Course/175 - Pandas-loc.pdf 67.8 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/150 - Course-Materials-Version-1-0.zip 27.4 KB
1 - Getting Started/6 - How to work with Jupyter Notebooks English.vtt 15.2 KB
15 - Appendix Pandas Crash Course/184 - Userdefined Functions with apply map and applymap English.vtt 14.6 KB
15 - Appendix Pandas Crash Course/177 - Analyzing Numerical Series with unique nunique and valuecounts English.vtt 14.3 KB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/99 - Which Factors influence House Prices English.vtt 13.8 KB
16 - What´s next outlook and additional resources/195 - Bonus Lecture.html 13.6 KB
15 - Appendix Pandas Crash Course/165 - First Data Inspection English.vtt 12.7 KB
15 - Appendix Pandas Crash Course/190 - splitapplycombine applied English.vtt 12.6 KB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/59 - Project-05-Materials.zip 12.0 KB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/25 - Importing Data from JSON files English.vtt 11.9 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/143 - Statistical Analysis and Hypothesis Testing with scipy English.vtt 11.4 KB
15 - Appendix Pandas Crash Course/180 - Filtering DataFrames by one Condition English.vtt 11.3 KB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/23 - Project-02-Materials.zip 11.1 KB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/73 - Importing & merging many Files easy case English.vtt 10.8 KB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/117 - Backtesting a simple Momentum Strategy English.vtt 10.7 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/142 - Do GDP Population and Politics matter English.vtt 10.7 KB
15 - Appendix Pandas Crash Course/189 - splitapplycombine explained English.vtt 10.6 KB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/100 - Advanced Explanatory Data Analyis with Seaborn English.vtt 10.5 KB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/10 - Data Import from csv file and first Inspection English.vtt 10.3 KB
15 - Appendix Pandas Crash Course/170 - Selecting Rows with iloc positionbased indexing English.vtt 10.3 KB
15 - Appendix Pandas Crash Course/174 - Slicing Rows and Columns with loc labelbased indexing English.vtt 10.1 KB
15 - Appendix Pandas Crash Course/192 - Data with DateTime Information Part 2 English.vtt 9.9 KB
1 - Getting Started/5 - Jupyter Notebooks let´s get started English.vtt 9.9 KB
15 - Appendix Pandas Crash Course/179 - Sorting of Series and Introduction to the inplace parameter English.vtt 9.6 KB
15 - Appendix Pandas Crash Course/185 - Data Visualization with Matplotlib English.vtt 9.6 KB
15 - Appendix Pandas Crash Course/166 - Builtin Functions Attributes and Methods with Pandas English.vtt 9.4 KB
15 - Appendix Pandas Crash Course/163 - Create your very first Pandas DataFrame from csv English.vtt 9.3 KB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/11 - The best and the worst movies Part 1 English.vtt 8.9 KB
15 - Appendix Pandas Crash Course/187 - Understanding the GroupBy Object English.vtt 8.8 KB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/126 - Transforming the Data English.vtt 8.6 KB
15 - Appendix Pandas Crash Course/191 - Data with DateTime Information Part 1 English.vtt 8.6 KB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/18 - The most successful Actors Part 1 English.vtt 8.5 KB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/127 - Explanatory Data Analysis Risk Return & Correlations English.vtt 8.3 KB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/89 - Visualizing Name Trends over Time English.vtt 8.2 KB
1 - Getting Started/4 - How to download and install Anaconda for Python coding English.vtt 8.0 KB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/40 - How to flatten nested Columns English.vtt 8.0 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/141 - What are the most successful countries of all times English.vtt 7.9 KB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/27 - What is an API The Movie Database API English.vtt 7.9 KB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/13 - Which Movie would you like to see next English.vtt 7.8 KB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/82 - Project Brief for SelfCoders English.vtt 7.8 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/136 - Project Brief for SelfCoders English.vtt 7.6 KB
15 - Appendix Pandas Crash Course/178 - Analyzing nonnumerical Series with unique nunique valuecounts English.vtt 7.5 KB
15 - Appendix Pandas Crash Course/183 - Creating Columns based on other Columns English.vtt 7.4 KB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/62 - How to load Data from DataFrames into an SQLite Database English.vtt 7.3 KB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/103 - Splitting the Data into Train and Test Set English.vtt 7.2 KB
15 - Appendix Pandas Crash Course/194 - Data with DateTime Information Part 4 English.vtt 7.2 KB
15 - Appendix Pandas Crash Course/188 - Splitting with many Keys English.vtt 7.2 KB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/90 - Why does a Name´s Popularity suddenly change Part 1 English.vtt 7.1 KB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/38 - How to handle stringified JSON columns Part 1 English.vtt 7.1 KB
15 - Appendix Pandas Crash Course/164 - Pandas Display Options and the methods head & tail English.vtt 6.9 KB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/35 - Project Brief for SelfCoders English.vtt 6.9 KB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/15 - Are Franchises more successful English.vtt 6.7 KB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/31 - Importing and Storing the Movies Dataset Best Practice English.vtt 6.6 KB
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8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/93 - Most Popular Unisex Names English.vtt 6.6 KB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/130 - Index Tracking A simple Tracking Portfolio English.vtt 6.6 KB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/28 - Working with APIs and JSON Part 1 English.vtt 6.5 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/147 - Do Traditions matter English.vtt 6.5 KB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/64 - Some simple SQL Queries English.vtt 6.5 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/160 - Removal of prior Version Deprecations English.vtt 6.5 KB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/133 - Forward Testing Part 2 English.vtt 6.5 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/155 - NEW pdNA value for missing values English.vtt 6.5 KB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/65 - Some more SQL Queries English.vtt 6.4 KB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/119 - More complex Strategies & Backtesting vs Fitting English.vtt 6.3 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/139 - Data Cleaning Part 1 English.vtt 6.3 KB
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12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/131 - Index Tracking The optimal Tracking Portfolio English.vtt 6.2 KB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/14 - What are the most common Words in Movie Titles Taglines and Overviews English.vtt 6.2 KB
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9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/96 - Project Brief for SelfCoders English.vtt 6.1 KB
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8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/88 - Creating the Features Popularity and Rank English.vtt 6.0 KB
15 - Appendix Pandas Crash Course/193 - Data with DateTime Information Part 3 English.vtt 5.9 KB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/67 - Final Case Study English.vtt 5.8 KB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/121 - Backtesting Simple Moving Averages SMA Strategies English.vtt 5.7 KB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/98 - Data Cleaning and Creating additional Features English.vtt 5.7 KB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/128 - Index Tracking Introduction English.vtt 5.7 KB
15 - Appendix Pandas Crash Course/167 - Selecting Columns English.vtt 5.7 KB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/26 - JSON and OrientationFormats English.vtt 5.6 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/151 - Important Recap Pandas Display Options Changed in Version 025 English.vtt 5.6 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/157 - The NEW StringDtype English.vtt 5.6 KB
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1 - Getting Started/1 - Course Overview don´t skip English.vtt 5.4 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/140 - Data Cleaning Part 2 English.vtt 5.4 KB
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9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/104 - Training the ML Model Random Forest English.vtt 5.2 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/144 - Aggregating and Ranking English.vtt 5.2 KB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/42 - How to clean Numerical Columns Part 2 English.vtt 5.2 KB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/9 - Project Brief for SelfCoders English.vtt 5.1 KB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/16 - What are the most successful Franchises English.vtt 5.1 KB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/87 - General Trends over Time 1880 2018 English.vtt 5.1 KB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/132 - Forward Testing Part 1 English.vtt 5.1 KB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/66 - Join Queries English.vtt 5.0 KB
15 - Appendix Pandas Crash Course/182 - Filtering DataFrames by many Conditions OR English.vtt 5.0 KB
15 - Appendix Pandas Crash Course/161 - Intro to Tabular Data Pandas English.vtt 5.0 KB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/116 - Data Visualization & Returns English.vtt 4.9 KB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/110 - Normalizing Unicode Strings and Getting the Ticker Symbols English.vtt 4.9 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/153 - NEW Extension dtypes nullable dtypes Why do we need them English.vtt 4.9 KB
15 - Appendix Pandas Crash Course/181 - Filtering DataFrames by many Conditions AND English.vtt 4.8 KB
15 - Appendix Pandas Crash Course/171 - Slicing Rows and Columns with iloc positionbased indexing English.vtt 4.8 KB
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10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/112 - Loading and Saving Historical Stock Prices English.vtt 4.7 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/158 - The NEW nullable BooleanDtype English.vtt 4.7 KB
1 - Getting Started/3 - FAQ Your Questions answered.html 4.7 KB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/72 - Importing one File & Understanding the Data Structure easy case English.vtt 4.6 KB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/19 - The most successful Actors Part 2 English.vtt 4.6 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/138 - Merging and Concatenating English.vtt 4.6 KB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/120 - Simple Moving Averages SMA English.vtt 4.6 KB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/58 - What is a Database SQL English.vtt 4.6 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/145 - Summer Games vs Winter Games does Geographical Location matter English.vtt 4.5 KB
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15 - Appendix Pandas Crash Course/176 - First Steps with Pandas Series English.vtt 4.3 KB
2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/17 - The most successful Directors English.vtt 4.3 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/154 - Creating the NEW extension dtypes with convertdtypes English.vtt 4.2 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/137 - Data Import and first Inspection English.vtt 4.2 KB
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14 - Extra Project Prepare yourself for the Future Pandas Version 10/159 - Addition of the ignoreindex parameter English.vtt 4.0 KB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/45 - How to remove Duplicates English.vtt 4.0 KB
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6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/60 - Project Brief for SelfCoders English.vtt 4.0 KB
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6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/61 - How to create an SQLite Database English.vtt 3.9 KB
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8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/92 - Persistant vs SpikeFade Names English.vtt 3.8 KB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/83 - First Inspection The most popular Names in 2018 English.vtt 3.7 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/156 - The NEW nullable Int64Dtype English.vtt 3.7 KB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/24 - Project Brief for SelfCoders English.vtt 3.7 KB
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15 - Appendix Pandas Crash Course/169 - Zerobased Indexing and Negative Indexing English.vtt 3.5 KB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/53 - Merging the Data Left Join English.vtt 3.5 KB
13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/146 - Men vs Women do Culture & Religion matter English.vtt 3.5 KB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/129 - Index Tracking Selecting the Tracking Stocks English.vtt 3.4 KB
6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/63 - How to load Data from SQLite Databases into DataFrames English.vtt 3.4 KB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/118 - Backtesting a simple Contrarian Strategy English.vtt 3.4 KB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/101 - Feature Engineering Part 1 English.vtt 3.4 KB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/39 - How to handle stringified JSON columns Part 2 English.vtt 3.4 KB
15 - Appendix Pandas Crash Course/173 - Selecting Rows with loc labelbased indexing English.vtt 3.4 KB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/122 - Backtesting the Perfect Strategy in case you can predict the future English.vtt 3.3 KB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/50 - Project Brief for SelfCoders English.vtt 3.3 KB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/71 - Getting the Data from the Web English.vtt 3.2 KB
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3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/22 - What is JSON English.vtt 3.1 KB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/44 - How to clean String Text Columns English.vtt 3.1 KB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/105 - Evaluating the Model on the Test Set English.vtt 3.1 KB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/36 - First Steps English.vtt 3.0 KB
3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/32 - Importing and Storing the Movies Dataset Real World Scenario English.vtt 2.9 KB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/84 - Evergreen Names 1880 2018 English.vtt 2.9 KB
11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/115 - Importing the Data English.vtt 2.9 KB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/78 - Importing & merging many Files complex case English.vtt 2.9 KB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/75 - Project Brief for SelfCoders Part 2 English.vtt 2.8 KB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/79 - Excursus Saving Memory Categorical Features English.vtt 2.6 KB
8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/86 - What are the most popular Names of all Times English.vtt 2.6 KB
15 - Appendix Pandas Crash Course/168 - Selecting one Column with the dot notation English.vtt 2.5 KB
9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/106 - Feature Importance English.vtt 2.5 KB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/76 - Importing one File & Understanding the Data Structure complex case English.vtt 2.4 KB
15 - Appendix Pandas Crash Course/186 - GroupBy an Introduction English.vtt 2.4 KB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/51 - Getting the Datasets English.vtt 2.4 KB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/37 - Dropping irrelevant Columns English.vtt 2.4 KB
5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/52 - Preparing the Data for Merge English.vtt 2.3 KB
10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/111 - Download and Installation of an API Wrapper Package English.vtt 2.3 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/148 - Intro and Overview English.vtt 2.3 KB
4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/43 - How to clean Columns with DateTime Information English.vtt 2.1 KB
7 - Project 6 Importing & Concatenating many files Baby Names Dataset/70 - Project Brief for SelfCoders Part 1 English.vtt 2.1 KB
14 - Extra Project Prepare yourself for the Future Pandas Version 10/152 - Info method new and extended output English.vtt 1.9 KB
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7 - Project 6 Importing & Concatenating many files Baby Names Dataset/74 - Final Steps English.vtt 1.8 KB
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9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/94 - Project Overview English.vtt 1.3 KB
12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/123 - Project Overview English.vtt 1.3 KB
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10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/107 - Project Overview English.vtt 1.2 KB
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11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/113 - Project Overview English.vtt 932 bytes
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15 - Appendix Pandas Crash Course/162 - Downloads for this Section.html 137 bytes
14 - Extra Project Prepare yourself for the Future Pandas Version 10/149 - How to update Pandas to Version 10.html 136 bytes
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15 - Appendix Pandas Crash Course/172 - Positionbased Indexing Cheat Sheets.html 41 bytes
15 - Appendix Pandas Crash Course/175 - Labelbased Indexing Cheat Sheets.html 41 bytes

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