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Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
Approx. 15 hours to complete
We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. This course utilizes the Jupyter Notebook environment within Coursera. Python Statistics Landscape Course Syllabus Meet the Course Team! Python Statistics Landscape Week 2 Python Assessment Week 3 Python Assessment Bayesian in Python...
Best python course for beginners ( Basic + Advanced )
by Mehdi Mechachgour- 3.8
3 hours on-demand video
Build 11 Projects and go from Beginner to Pro in Python with the World's Most Fun Project-Based Python Course!...
$11.99
IBM Machine Learning Professional Certificate
- 0.0
This program consists of 6 courses providing you with solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning ....
Databases and SQL for Data Science with Python
by Rav Ahuja , Hima Vasudevan- 4.7
Approx. 18 hours to complete
The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. Anyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course....
Introduction to Python Programming
by Brandon Krakowsky- 4
Approx. 28 hours to complete
This course provides an introduction to programming and the Python language. This course may be more robust than some other introductory python courses, as it delves deeper into certain essential programming topics. Module 1 : Course Introduction, Intro to Programming and The Python Language, Variables, Conditionals, Jupyter Notebook, and IDLE Practice Quiz : Python Dictionaries & Files...
Programming for Everybody (Getting Started with Python)
by Charles Russell Severance- 4.8
Approx. 19 hours to complete
This course aims to teach everyone the basics of programming computers using Python. The course has no pre-requisites and avoids all but the simplest mathematics. This course covers Python 3. Video: Welcome to Python - Guido van Rossum 3 - Python as a Language Welcome to Python 3 Textbook: Python for Everybody: Exploring Data in Python 3...
Complete Python 3 Bootcamp course: Beginner to Advance 2020
by Aman Anand- 4.4
10 hours on-demand video
Go From Zero to hero in Python with coding challenges, Masterclass explanation and[HighestRated]Python Course. This Course will Take you from absolute beginner to Advance Level in Python Programming. This course is going to teach you python with best practice and in a very simple manner with practical examples! So start your python Journey today, Best of Luck....
$12.99
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
Approx. 9 hours to complete
This course takes you from understanding the fundamentals of a machine learning project. To be successful, you should have at least beginner-level background in Python programming (e. This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Introduction to the Course...
Data for Machine Learning
by Anna Koop- 4.4
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to: This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute....
Applied Data Science Capstone
by Joseph Santarcangelo , Alex Aklson- 4.7
Approx. 10 hours to complete
This capstone project course will give you a taste of what data scientists go through in real life when working with data. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course. Course Introduction...