Search result for Coursera python for everybody specialization Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 15 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Python for Everybody: Five Domain Specialization
by Sachin Kafle- 4.4
-
![]()
![]()
![]()
![]()
![]()
41.5 hours on-demand video
For starters, the syntax of Python is simpler than that of most other major programming languages, with fewer exceptions and special cases. While Python is optimized for development on Linux and Unix systems, interpreters are available for just about every major operating system. Finally, Python can also be used for game development....
$18.99
Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries....
Web Application Technologies and Django
by Charles Russell Severance- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 15 hours to complete
This is the first course in the Django for Everybody specialization. It is recommended that you complete the Python for Everybody specialization or an equivalent learning experience before beginning this series. Building a Simple Web Browser in Python HTML Lectures from Web Applications For Everybody CSS Lectures from Web Applications for Everybody...
Capstone: Retrieving, Processing, and Visualizing Data with Python
by Charles Russell Severance- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
Chapters 15 and 16 from the book “Python for Everybody” will serve as the backbone for the capstone. This course covers Python 3. Python Textbook Coming from Python 2 - Encoding Data in Python 3...
Using Python to Access Web Data
by Charles Russell Severance- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
This course will cover Chapters 11-13 of the textbook “Python for Everybody”. This course covers Python 3. Windows 10: Installing Python and Writing A Program Macintosh: Using Python and Writing A Program Python Textbook Welcome to Python 3 Notice for Auditing Learners: Assignment Submission Python Regular Expression Quick Guide Reading Web Data From Python...
Using Databases with Python
by Charles Russell Severance- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 15 hours to complete
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. Windows 10: Installing Python and Writing A Program Macintosh: Using Python and Writing A Program Python Textbook...
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....
Related searches
Introduction to Data Science in Python
by Christopher Brooks- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. Describe common Python functionality and features used for data science...
Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 27 hours to complete
Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML. We’ll continuously use a real-life example from IoT (Internet of Things), for exemplifying the different algorithms. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. Bayesian inference in Python...
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
Apache Spark is the de-facto standard for large scale data processing. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. • Identify useful techniques for working with big data such as dimension reduction and feature selection methods For successful completion of the course, the following prerequisites are recommended:...
