TeamTreeHouse - Data Science Basics [NepsterJay]


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Torrent Hash : 50F00FC5EDAC9D9AE9B04F1B0CEC5A6248AD5496
Torrent Added : 1 Year+ in Other - Other
Torrent Size : 273.84 MB


TeamTreeHouse - Data Science Basics [NepsterJay]
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Torrent File Content (24 files)


TeamTreeHouse - Data Science Basics [NepsterJay]
    01 Getting Started with Data Science
          0101 What is Data Science.mp4 -
18.3 MB

          0102 Selecting Data.mp4 -
16.71 MB

          0103 Obtaining Data.mp4 -
9.12 MB

          0104 Installing Libraries.mp4 -
4.22 MB

    02 Describing Data
          0201 Loading Raw Data.mp4 -
30.65 MB

          0202 Calculating Descriptive Statistics.mp4 -
13.68 MB

          0203 Calculating Sums and Totals.mp4 -
6.75 MB

          0204 Calculate Averages.mp4 -
9.02 MB

          0205 Max and Min.mp4 -
9.77 MB

    03 Cleaning Data
          0301 Clean Up Your Data.mp4 -
8.69 MB

          0302 Filtering Rows.mp4 -
15.87 MB

          0303 Grouping Rows.mp4 -
15.23 MB

    04 Exporting
          0401 Exporting CSV Files.mp4 -
19.87 MB

          0402 Writing Functions to Export CSV Files.mp4 -
7.84 MB

          0403 Exporting to Excel.mp4 -
15.17 MB

    05 Charts and Tables
          0501 Line Charts.mp4 -
14.08 MB

          0502 Bar Charts.mp4 -
5.88 MB

          0503 Tables.mp4 -
11.95 MB

    06 Creating Reports
          0601 Styling.mp4 -
9.6 MB

          0602 Saving PDFs.mp4 -
14.57 MB

          0603 Adding Automation.mp4 -
16.1 MB

    Project Files
          api_example.py.zip -
1.51 KB

          python-data-sci-basics-master.zip -
789.86 KB

     NepsterJay.txt -
526 bytes



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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