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Udemy | Data Science with Python - Beginners [FTU] TGx Exclusive

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English

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1.35 GB

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4bc86ffbb8b43029a4849c2961669ddf17925aee

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25-08-2019 22:32

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File	Size
0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url	377.00 B
0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url	328.00 B
0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	286.00 B
0. Websites you may like/3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url	163.00 B
0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url	239.00 B
0. Websites you may like/How you can help Team-FTU.txt	229.00 B
1. Introduction/1. Introduction to Data Visualization.mp4	20.32 MB
1. Introduction/1. Introduction to Data Visualization.vtt	4.82 kB
1. Introduction/1.1 Data Science with Python.zip.zip	888.99 kB
2. What is Data Science/1. Understanding Data Science.mp4	23.29 MB
2. What is Data Science/1. Understanding Data Science.vtt	5.80 kB
2. What is Data Science/2. Python Environment Framework.mp4	31.48 MB
2. What is Data Science/2. Python Environment Framework.vtt	4.91 kB
2. What is Data Science/3. Various Python Scripts.mp4	28.70 MB
2. What is Data Science/3. Various Python Scripts.vtt	6.43 kB
3. Advanced Python/1. Concept of Advanced Python.mp4	26.50 MB
3. Advanced Python/1. Concept of Advanced Python.vtt	6.22 kB
3. Advanced Python/2. Creating Functions for Python.mp4	23.60 MB
3. Advanced Python/2. Creating Functions for Python.vtt	4.41 kB
3. Advanced Python/3. Creating a New Library.mp4	22.83 MB
3. Advanced Python/3. Creating a New Library.vtt	4.67 kB
3. Advanced Python/4. Creating Bar Charts.mp4	38.96 MB
3. Advanced Python/4. Creating Bar Charts.vtt	7.63 kB
3. Advanced Python/5. Analysis on Line Chart.mp4	30.30 MB
3. Advanced Python/5. Analysis on Line Chart.vtt	5.56 kB
3. Advanced Python/6. Understanding Scattered Plots.mp4	35.11 MB
3. Advanced Python/6. Understanding Scattered Plots.vtt	5.72 kB
4. Linear Algebra/1. Vector Spaces in Linear Algebra.mp4	35.45 MB
4. Linear Algebra/1. Vector Spaces in Linear Algebra.vtt	6.36 kB
4. Linear Algebra/2. Matrices in Linear Algebra.mp4	52.97 MB
4. Linear Algebra/2. Matrices in Linear Algebra.vtt	9.97 kB
4. Linear Algebra/3. Analysing Statistical Data.mp4	29.11 MB
4. Linear Algebra/3. Analysing Statistical Data.vtt	6.03 kB
4. Linear Algebra/4. Understanding Central Tendencies.mp4	62.96 MB
4. Linear Algebra/4. Understanding Central Tendencies.vtt	9.76 kB
4. Linear Algebra/5. Dispersion for Data.mp4	34.33 MB
4. Linear Algebra/5. Dispersion for Data.vtt	5.28 kB
5. Probability/1. Probability in Discreet Mathematics.mp4	20.58 MB
5. Probability/1. Probability in Discreet Mathematics.vtt	4.25 kB
5. Probability/10. Line of Best Fit.mp4	30.57 MB
5. Probability/10. Line of Best Fit.vtt	4.25 kB
5. Probability/11. Datascience with Gradient Descent.mp4	13.80 MB
5. Probability/11. Datascience with Gradient Descent.vtt	3.74 kB
5. Probability/12. Example on Gradient Descent.mp4	31.69 MB
5. Probability/12. Example on Gradient Descent.vtt	4.84 kB
5. Probability/2. Normal Distribution Curve.mp4	43.70 MB
5. Probability/2. Normal Distribution Curve.vtt	6.68 kB
5. Probability/3. Example for Normal Distribution Curve.mp4	32.54 MB
5. Probability/3. Example for Normal Distribution Curve.vtt	32.54 MB
5. Probability/4. Central Limit Theorem.mp4	36.84 MB
5. Probability/4. Central Limit Theorem.vtt	6.19 kB
5. Probability/5. Concept of Hypothesis.mp4	26.19 MB
5. Probability/5. Concept of Hypothesis.vtt	4.08 kB
5. Probability/6. Example on Hypothesis Testing.mp4	49.32 MB
5. Probability/6. Example on Hypothesis Testing.vtt	6.49 kB
5. Probability/7. Defining the Next Value.mp4	59.61 MB
5. Probability/7. Defining the Next Value.vtt	7.62 kB
5. Probability/8. Principle of P Hacking.mp4	27.36 MB
5. Probability/8. Principle of P Hacking.vtt	4.28 kB
5. Probability/9. Understanding Bayesian Inference.mp4	27.87 MB
5. Probability/9. Understanding Bayesian Inference.vtt	5.05 kB
6. Gradient Descent/1. Value Import.mp4	58.83 MB
6. Gradient Descent/1. Value Import.vtt	6.06 kB
6. Gradient Descent/2. Output Functions for Gradient.mp4	51.68 MB
6. Gradient Descent/2. Output Functions for Gradient.vtt	5.50 kB
6. Gradient Descent/3. Working with Data Analysis.mp4	56.17 MB
6. Gradient Descent/3. Working with Data Analysis.vtt	8.37 kB
6. Gradient Descent/4. Creating Normal Histogram.mp4	64.94 MB
6. Gradient Descent/4. Creating Normal Histogram.vtt	6.41 kB
6. Gradient Descent/5. Two Dimensional Graph.mp4	49.08 MB
6. Gradient Descent/5. Two Dimensional Graph.vtt	5.61 kB
6. Gradient Descent/6. Multiple Scatter Plots.mp4	45.53 MB
6. Gradient Descent/6. Multiple Scatter Plots.vtt	5.97 kB
6. Gradient Descent/7. Analyzing Data Sets.mp4	34.60 MB
6. Gradient Descent/7. Analyzing Data Sets.vtt	5.50 kB
6. Gradient Descent/8. Learnig Box Plots.mp4	39.85 MB
6. Gradient Descent/8. Learnig Box Plots.vtt	39.87 MB
7. Conclusion/1. Overview and Conclusion.mp4	15.38 MB
7. Conclusion/1. Overview and Conclusion.vtt	3.99 kB

Description

For More Udemy Free Courses >>> https://freetutorials.us/
For more Lynda and other Courses >>> https://www.freecoursesonline.me/
Forum for discussion >>> https://1hack.us/

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.