TeamTreeHouse - Data Science Basics [NepsterJay]

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leechers: 0
Added on May 3, 2015 by RedChillin Other > Tutorials
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TeamTreeHouse - Data Science Basics [NepsterJay] (Size: 273.84 MB)
 NepsterJay.txt526 bytes
 0101 What is Data Science.mp418.3 MB
 0102 Selecting Data.mp416.71 MB
 0103 Obtaining Data.mp49.12 MB
 0104 Installing Libraries.mp44.22 MB
 0201 Loading Raw Data.mp430.65 MB
 0202 Calculating Descriptive Statistics.mp413.68 MB
 0203 Calculating Sums and Totals.mp46.75 MB
 0204 Calculate Averages.mp49.02 MB
 0205 Max and Min.mp49.77 MB
 0301 Clean Up Your Data.mp48.69 MB
 0302 Filtering Rows.mp415.87 MB
 0303 Grouping Rows.mp415.23 MB
 0401 Exporting CSV Files.mp419.87 MB
 0402 Writing Functions to Export CSV Files.mp47.84 MB
 0403 Exporting to Excel.mp415.17 MB
 0501 Line Charts.mp414.08 MB
 0502 Bar Charts.mp45.88 MB
 0503 Tables.mp411.95 MB
 0601 Styling.mp49.6 MB
 0602 Saving PDFs.mp414.57 MB
 0603 Adding Automation.mp416.1 MB
 api_example.py.zip1.51 KB
 python-data-sci-basics-master.zip789.86 KB


Description

TeamTreehouse - Data Science Basics
English | mp4 | H264 950x534 | AAC 2 ch | 287 MB
eLearning, Python | Level: Intermediate | Project Files


This course will follow the basic procedures of conducting data science work, namely selecting and describing data, and munging it into a communicable form. At the end of this course, students will be able to pick a small dataset available online and, using Python language, quickly calculate descriptive statistics and show their results with basic charts and tables.


What you'll learn:
- What Is Data Science?
- Loading Raw Data
- Cleaning Data
- MatPlotLib
- NumPy
- Creating Reports

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273.84 MB
seeders:1
leechers:0
TeamTreeHouse - Data Science Basics [NepsterJay]