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Janani Ravi (et al.) | Duration: 41h 00m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 2,82 GB | Language: English
One of the most pervasive uses of Python is to analyze data. This skill is for those who want to leverage the power of Python in data treatment and analysis.
Courses in this path
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)
A2. Python for Data Analysts (Janani Ravi, 2019)
A3. Programming Python Using an IDE (Xavier Morera, 2019)
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)
B2. Data Wrangling with Python (Pratheerth Padman, 2020)
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)
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