Search result for Coursera python for everybody Online Courses & Certifications
Get Course Alerts by Email
Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
Approx. 15 hours to complete
We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations. Different Study Designs Generate Different Types of Data: Implications for Modeling Python Statistics Landscape Python Statistics Landscape Week 2 Python Assessment Likelihood Ratio Tests for Fixed Effects and Variance Components...
Python Network Programming - TCP/IP Socket Programming
by Attreya Bhatt- 4.2
3.5 hours on-demand video
Python Networking Programming is simple for beginners, powerful for the pros. Networking with Python is easy for beginners and powerful enough for advance coders. How to create an online live server on Digital ocean and run python files on it Multi threading and how to use it in creating a Python network...
$14.99
Introduction to Python Programming
by Brandon Krakowsky- 4
Approx. 28 hours to complete
This course provides an introduction to programming and the Python language. Module 3 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE) Module 4 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE) Practice Quiz : Python Dictionaries & Files Use different tools for writing and running Python code...
Databases and SQL for Data Science with Python
by Rav Ahuja , Hima Vasudevan- 4.7
Approx. 18 hours to complete
SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. 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. Welcome to SQL for Data Science...
Delivery Problem
by Alexander S. Kulikov- 4.7
Approx. 14 hours to complete
We’ll implement (in Python) together efficient programs for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. We still don’t have provably efficient algorithms for this difficult computational problem and this is the essence of the P versus NP problem, the most important open question in Computer Science....
Applied Data Science Capstone
by Joseph Santarcangelo , Alex Aklson- 4.7
Approx. 10 hours to complete
You will utilize Python and its pandas library to manipulate data, which will help you refine your skills for exploring and analyzing 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. Best Practices For Presenting Your Findings...
Crash Course on Python
by Google Career CertificatesTop Instructor- 4.8
Approx. 32 hours to complete
This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. Getting Computers to Work for You Why is Python relevant to IT? Classes and Objects in Python (Optional) Python Modules (Optional) Augmenting Python with Modules Supplemental Reading for Code Reuse (Optional)...
Related searches
Discrete Math and Analyzing Social Graphs
by Владимир Подольский , Ilya V. Schurov , Stepan Kuznetsov- 4.4
Approx. 20 hours to complete
We will illustrate new knowledge, for example, by counting the number of features in data or by estimating the time required for a Python program to run. , we expect you to know what is a square or how to add fractions), basic programming in Python (functions, loops, recursion), common sense and curiosity....
Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
Approx. 34 hours to complete
The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. The prerequisites for this course are: 3) Gradient descent for linear models. 5) Regularization for linear models. Hardware for the course Deep Learning for images Motivation for convolutional layers...
Deep Learning with PyTorch
by Packt Publishing- 3.9
4.5 hours on-demand video
This course uses Python 3. 3, while not the latest version available, it provides relevant and informative content for legacy users of Python, and PyTorch. Along the way he nurtured his interests in Deep Learning by attending Coursera and Udacity MOOCs....
$11.99