| 1. About this section of the course.html | 409.6 B | ||
| 1. Before Starting.html | 512 B | ||
| 1. Google Colab & Jupyter Notebook.html | 204.8 B | ||
| 1. Matplotlib Introduction.mp4 | 2.5 MB | ||
| 1. Matplotlib Introduction.srt | 1 KB | ||
| 1. Pandas Introduction.mp4 | 21.3 MB | ||
| 1. Pandas Introduction.srt | 7.7 KB | ||
| 1. Print & Comments.mp4 | 6.7 MB | ||
| 1. Print & Comments.srt | 2.2 KB | ||
| 1. Project 1.mp4 | 46.8 MB | ||
| 1. Project 1.srt | 3.5 KB | ||
| 1. Project 2.mp4 | 26.1 MB | ||
| 1. Project 2.srt | 3.7 KB | ||
| 1. Visualization of distributions.mp4 | 6.5 MB | ||
| 1. Visualization of distributions.srt | 1.2 KB | ||
| 1. Where to find data.html | 614.4 B | ||
| 10. Python Quiz.html | 204.8 B | ||
| 10. Simple Linear Regression.mp4 | 9 MB | ||
| 10. Simple Linear Regression.srt | 1.8 KB | ||
| 11. Statistics Quiz.html | 204.8 B | ||
| 2. General Concepts.mp4 | 6 MB | ||
| 2. General Concepts.srt | 2.2 KB | ||
| 2. Matplotlib Coding.mp4 | 10.1 MB | ||
| 2. Matplotlib Coding.srt | 1.5 KB | ||
| 2. Pandas Coding 1.mp4 | 7.5 MB | ||
| 2. Pandas Coding 1.srt | 1.7 KB | ||
| 2. Variables part 1.mp4 | 20.7 MB | ||
| 2. Variables part 1.srt | 3 KB | ||
| 2. Visualization of statistical relationships.mp4 | 1.8 MB | ||
| 2. Visualization of statistical relationships.srt | 512 B | ||
| 2. Where to share the projects.html | 716.8 B | ||
| 3. Descriptive statistics introduction & Frequency.mp4 | 8.3 MB | ||
| 3. Descriptive statistics introduction & Frequency.srt | 3.1 KB | ||
| 3. Matplotlib Quiz.html | 204.8 B | ||
| 3. Pandas Coding 2.mp4 | 8.9 MB | ||
| 3. Pandas Coding 2.srt | 1.7 KB | ||
| 3. Plotting Categorical Data.mp4 | 4.7 MB | ||
| 3. Plotting Categorical Data.srt | 1.1 KB | ||
| 3. Variables part 2.mp4 | 12.9 MB | ||
| 3. Variables part 2.srt | 1.5 KB | ||
| 4. Data Types part 1.mp4 | 26.9 MB | ||
| 4. Data Types part 1.srt | 3.8 KB | ||
| 4. Mean - Mode - Median.mp4 | 6.9 MB | ||
| 4. Mean - Mode - Median.srt | 3 KB | ||
| 4. Pandas for time series analysis.mp4 | 23.6 MB | ||
| 4. Pandas for time series analysis.srt | 4.3 KB | ||
| 4. Seaborn Quiz.html | 204.8 B | ||
| 5. Data Types part 2.mp4 | 16.7 MB | ||
| 5. Data Types part 2.srt | 3 KB | ||
| 5. Pandas Quiz.html | 204.8 B | ||
| 5. Probability Introduction.mp4 | 6.2 MB | ||
| 5. Probability Introduction.srt | 2.8 KB | ||
| 6. Operators.mp4 | 24 MB | ||
| 6. Operators.srt | 4.7 KB | ||
| 6. Probability Distributions.mp4 | 9.4 MB | ||
| 6. Probability Distributions.srt | 3.6 KB | ||
| 7. Conditional Probability & Tree Diagram.mp4 | 17.6 MB | ||
| 7. Conditional Probability & Tree Diagram.srt | 5.5 KB | ||
| 7. If Statements.mp4 | 15.4 MB | ||
| 7. If Statements.srt | 3 KB | ||
| 8. Inferential Statistics introduction.mp4 | 9.4 MB | ||
| 8. Inferential Statistics introduction.srt | 4.3 KB | ||
| 8. Loops.mp4 | 11.8 MB | ||
| 8. Loops.srt | 3.3 KB | ||
| 9. Confidence Interval.mp4 | 9.1 MB | ||
| 9. Confidence Interval.srt | 3.4 KB | ||
| 9. Functions.mp4 | 10.9 MB | ||
| 9. Functions.srt | 2.7 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 70 total files | |||
Python for Data Analytics - From A to Z Data Analytics
https://DevCourseWeb.com
Instructors: Onur Baltacı
10 sections • 34 lectures • 1h 52m
Video: MP4 1280x720 44 KHz | English + Sub
Updated 11/2022 | Size: 388 MB
Learn Python for Data Analytics
What you'll learn
Learn how to analyze data
Learn how to build a Data Analytics Project
Learn how to visualize data
Repeat the basics of statistics and python
Requirements
No programming experience needed. We will repeat statistics and python fundamentals together.
Description
This is a data analysis course which we use Python and its libraries in order to clean, analyze and visualize our data. This course is for anyone who is interested in data analytics. You don't need to have any knowledge about python or statistics since we will be repeating these two at the beginning of the course. We will cover python libraries which is designed for data manipulation, data analysis, data visualization. Topics we are going to be covering
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