Udemy | Data Science with Python - Beginners [FTU]
- Category Other
- Type Tutorials
- Language English
- Total size 1.4 GB
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- Last checked 1 day ago
- Date uploaded 6 years ago
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Learn how to use Python to create fascinating data visualizations .
Created by : EDU CBA
Last updated : 12/2018
Language : English
Caption (CC) : Included
Torrent Contains : 79 Files, 8 Folders
Course Source : https://www.udemy.com/course/educba-data-science-with-python/
What you'll learn
• Through this training we are going to learn how to use Python to create fascinating data visualizations.
• Learn Data Visualization, Development Setup and Language Learning Bridge between Python and JS
• Learn Reading and Writing Data with Python, Webdev 101 and Getting Data off the Web with Python
• Learn Heavyweight Scraping with Scrapy, Plotting and Visualization, and Data Aggregations and Group operations
• Learn Financial and Economic Data Application
Course content
all 36 lectures 03:49:08
Requirements
• Prior knowledge of basic Python will be useful but NOT necessary
• No prior knowledge or experience needed. Only a passion to be successful
• You'll need a desktop computer or a laptop
Description
Data visualization is understanding the significance of data by placing it in a visual context. Patterns, trends that might go unnoticed in text-based data can be exposed and recognized easier with data visualization software. It basically involves presentation of data in a pictorial or graphical format. Through this training we are going to learn how to use Python to create fascinating data visualizations.
The training includes the following;
1. Introduction to Data Visualization
2. Development Setup
3. Language Learning Bridge between Python and JS
4. Reading and Writing Data with Python
5. Webdev 101
6. Getting Data off the Web with Python
7. Heavyweight Scraping with Scrapy
8. Plotting and Visualization
9. Data Aggregations and Group operations
10. Financial and Economic Data Application
Who this course is for :
• Business analysts
• Data scientists
• Anybody interested in data science and visualization
• Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
• This course is for you if you like exciting challenges.
Files:
[FreeTutorials.Us] [UDEMY] Data Science with Python - Beginners [FTU] 0. Websites you may like- 0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url (0.4 KB)
- 1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url (0.3 KB)
- 2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url (0.3 KB)
- 3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url (0.2 KB)
- 4. (FTUApps.com) Download Cracked Developers Applications For Free.url (0.2 KB)
- How you can help Team-FTU.txt (0.2 KB)
- 1. Introduction to Data Visualization.mp4 (20.3 MB)
- 1. Introduction to Data Visualization.vtt (4.8 KB)
- 1.1 Data Science with Python.zip.zip (889.0 KB)
- 1. Understanding Data Science.mp4 (23.3 MB)
- 1. Understanding Data Science.vtt (5.8 KB)
- 2. Python Environment Framework.mp4 (31.5 MB)
- 2. Python Environment Framework.vtt (4.9 KB)
- 3. Various Python Scripts.mp4 (28.7 MB)
- 3. Various Python Scripts.vtt (6.4 KB)
- 1. Concept of Advanced Python.mp4 (26.5 MB)
- 1. Concept of Advanced Python.vtt (6.2 KB)
- 2. Creating Functions for Python.mp4 (23.6 MB)
- 2. Creating Functions for Python.vtt (4.4 KB)
- 3. Creating a New Library.mp4 (22.8 MB)
- 3. Creating a New Library.vtt (4.7 KB)
- 4. Creating Bar Charts.mp4 (39.0 MB)
- 4. Creating Bar Charts.vtt (7.6 KB)
- 5. Analysis on Line Chart.mp4 (30.3 MB)
- 5. Analysis on Line Chart.vtt (5.6 KB)
- 6. Understanding Scattered Plots.mp4 (35.1 MB)
- 6. Understanding Scattered Plots.vtt (5.7 KB)
- 1. Vector Spaces in Linear Algebra.mp4 (35.4 MB)
- 1. Vector Spaces in Linear Algebra.vtt (6.4 KB)
- 2. Matrices in Linear Algebra.mp4 (53.0 MB)
- 2. Matrices in Linear Algebra.vtt (10.0 KB)
- 3. Analysing Statistical Data.mp4 (29.1 MB)
- 3. Analysing Statistical Data.vtt (6.0 KB)
- 4. Understanding Central Tendencies.mp4 (63.0 MB)
- 4. Understanding Central Tendencies.vtt (9.8 KB)
- 5. Dispersion for Data.mp4 (34.3 MB)
- 5. Dispersion for Data.vtt (5.3 KB)
- 1. Probability in Discreet Mathematics.mp4 (20.6 MB)
- 1. Probability in Discreet Mathematics.vtt (4.3 KB)
- 10. Line of Best Fit.mp4 (30.6 MB)
- 10. Line of Best Fit.vtt (4.3 KB)
- 11. Datascience with Gradient Descent.mp4 (13.8 MB)
- 11. Datascience with Gradient Descent.vtt (3.7 KB)
- 12. Example on Gradient Descent.mp4 (31.7 MB)
- 12. Example on Gradient Descent.vtt (4.8 KB)
- 2. Normal Distribution Curve.mp4 (43.7 MB)
- 2. Normal Distribution Curve.vtt (6.7 KB)
- 3. Example for Normal Distribution Curve.mp4 (32.5 MB)
- 3. Example for Normal Distribution Curve.vtt (32.5 MB)
- 4. Central Limit Theorem.mp4 (36.8 MB)
- 4. Central Limit Theorem.vtt (6.2 KB)
- 5. Concept of Hypothesis.mp4 (26.2 MB)
- 5. Concept of Hypothesis.vtt (4.1 KB)
- 6. Example on Hypothesis Testing.mp4 (49.3 MB)
- 6. Example on Hypothesis Testing.vtt (6.5 KB)
- 7. Defining the Next Value.mp4 (59.6 MB)
- 7. Defining the Next Value.vtt (7.6 KB)
- 8. Principle of P Hacking.mp4 (27.4 MB)
- 8. Principle of P Hacking.vtt (4.3 KB)
- 9. Understanding Bayesian Inference.mp4 (27.9 MB)
- 9. Understanding Bayesian Inference.vtt (5.1 KB)
- 1. Value Import.mp4 (58.8 MB)
- 1. Value Import.vtt (6.1 KB)
- 2. Output Functions for Gradient.mp4 (51.7 MB)
- 2. Output Functions for Gradient.vtt (5.5 KB)
- 3. Working with Data Analysis.mp4 (56.2 MB)
- 3. Working with Data Analysis.vtt (8.4 KB)
- 4. Creating Normal Histogram.mp4 (64.9 MB)
- 4. Creating Normal Histogram.vtt (6.4 KB)
- 5. Two Dimensional Graph.mp4 (49.1 MB)
- 5. Two Dimensional Graph.vtt (5.6 KB)
- 6. Multiple Scatter Plots.mp4 (45.5 MB)
- 6. Multiple Scatter Plots.vtt (6.0 KB)
- 7. Analyzing Data Sets.mp4 (34.6 MB)
- 7. Analyzing Data Sets.vtt (5.5 KB)
- 8. Learnig Box Plots.mp4 (39.9 MB)
- 8. Learnig Box Plots.vtt (39.9 MB)
- 1. Overview and Conclusion.mp4 (15.4 MB)
- 1. Overview and Conclusion.vtt (4.0 KB)
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