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IGTC01DA - Python Data Analysis (EN)
01 - Introduction
02 - What you need to know (0:38)
01 - Get started in data analysis with Python (2:01)
03 - What-s new in this update (0:27)
02 - 1. Installation and Setup
02 - Install Anaconda Python on Windows (2:52)
01 - Install Anaconda Python on OS X (2:36)
03 - Working with Jupyter Notebooks (4:11)
04 - Using the exercise files (1:32)
05 - Using Python in the cloud (2:50)
03 - 2. Data Structures in Pure Python
02 - Sequences Lists, tuples, and the slicing syntax (5:19)
01 - Warmup with Python loops (7:05)
03 - Dictionaries and sets (5:17)
04 - Comprehensions (4:44)
05 - Advanced Python containers (7:54)
04 - 3. Wordplay Anagrams and Palindromes
02 - Loading a dictionary (4:10)
01 - Anagrams overview (1:07)
03 - Finding anagrams (5:29)
04 - Challenge Palindromes (0:49)
05 - Solution Palindromes (2:09)
05 - 4. Arrays with NumPy
01 - NumPy overview (3:15)
02 - Creating NumPy arrays (5:14)
03 - Indexing NumPy arrays (5:20)
04 - Doing math with NumPy arrays (5:21)
05 - Special arrays Records and dates (4:22)
06 - 5. Use Case Weather Data
01 - Overview of use case (1:04)
02 - Loading station and temperature data (6:12)
03 - Filling missing values (5:10)
04 - Smoothing time series (6:26)
05 - Weather charts (5:03)
06 - Challenge Weather anomalies (0:46)
07 - Solution Weather anomalies (2:05)
07 - 6. pandas
01 - pandas overview (1:08)
02 - DataFrames and Series (6:35)
03 - Indexing in pandas (5:49)
04 - Plotting (7:26)
08 - 7. Use Case Baby Names
01 - Overview of use case (0:44)
02 - Loading data sets (3:16)
03 - Comparing name popularity (4:20)
04 - Yearly top ten names (4:23)
05 - Challenge Unisex baby names (1:03)
06 - Solution Unisex baby names (3:27)
09 - Conclusion
01 - Next steps (0:58)
Ex_Files_Python_Data_Analysis
Ex_Files_Python_Data_Analysis
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04 - Yearly top ten names
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