[100% Off] Python Basics for Data Science Free Course Coupon
What you’ll learn
The objectives of this course is to get you started with Python as the programming language and give you a taste of how to start working with data in Python.
In this course you will learn about:
What Python is and why it is useful
The application of Python to Data Science
How to define variables in Python
Sets and conditional statements in Python
The purpose of having functions in Python
How to operate on files to read and write data in Python
How to use pandas, a must have package for anyone attempting data analysis in Python.
Coupon Enrollment: https://www.edx.org/course/python-basics-for-data-science
✅ By: https://t.me/Python53
More likes 👍 => more courses
What you’ll learn
The objectives of this course is to get you started with Python as the programming language and give you a taste of how to start working with data in Python.
In this course you will learn about:
What Python is and why it is useful
The application of Python to Data Science
How to define variables in Python
Sets and conditional statements in Python
The purpose of having functions in Python
How to operate on files to read and write data in Python
How to use pandas, a must have package for anyone attempting data analysis in Python.
Coupon Enrollment: https://www.edx.org/course/python-basics-for-data-science
✅ By: https://t.me/Python53
More likes 👍 => more courses
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🔰 Business Data Analytics & Intelligence with Python
⭐ 4.5 - 341 votes 💰 Original Price: $84.99
Become a Business Data Analyst. Learn Python, Statistics, and Data Analytics using the latest industry tools
Taught By: Andrei Neagoie, Diogo Alves de Resende
🔌 By: https://t.me/Python53
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Become a Business Data Analyst. Learn Python, Statistics, and Data Analytics using the latest industry tools
Taught By: Andrei Neagoie, Diogo Alves de Resende
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01. Introduction.zip
211.9 MB
01. Introduction
02. Basic Statistics - Part 01.zip
223.2 MB
02. Basic Statistics - Part 01
02. Basic Statistics - Part 02.zip
148.1 MB
02. Basic Statistics - Part 02
03. Intermediary Statistics - Part 01.zip
223.5 MB
03. Intermediary Statistics - Part 01
03. Intermediary Statistics - Part 02.zip
223.8 MB
03. Intermediary Statistics - Part 02
03. Intermediary Statistics - Part 03.zip
126.9 MB
03. Intermediary Statistics - Part 03
04. Linear Regression.zip
215.5 MB
04. Linear Regression
05. Multilinear Regression - Part 01.zip
235.4 MB
05. Multilinear Regression - Part 01
05. Multilinear Regression - Part 02.zip
142.5 MB
05. Multilinear Regression - Part 02
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06. Logistic Regression - Part 01.zip
211.7 MB
06. Logistic Regression - Part 01
06. Logistic Regression - Part 02.zip
215.9 MB
06. Logistic Regression - Part 02
06. Logistic Regression - Part 03.zip
89.6 MB
06. Logistic Regression - Part 03
07. Google Causal Impact - Part 01.zip
240.5 MB
07. Google Causal Impact - Part 01
07. Google Causal Impact - Part 02.zip
219.4 MB
07. Google Causal Impact - Part 02
07. Google Causal Impact - Part 03.zip
244.8 MB
07. Google Causal Impact - Part 03
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08. Matching - Part 01.zip
246.8 MB
08. Matching - Part 01
08. Matching - Part 02.zip
217.2 MB
08. Matching - Part 02
08. Matching - Part 03.zip
165.1 MB
08. Matching - Part 03
08. Matching - Part 04.zip
114 MB
08. Matching - Part 04
09. RFM Analysis - Part 01.zip
232.4 MB
09. RFM Analysis - Part 01
09. RFM Analysis - Part 02.zip
130.4 MB
09. RFM Analysis - Part 02
10. Gaussian Mixture - Part 01.zip
216.7 MB
10. Gaussian Mixture - Part 01
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