Scientific Computing with Python

BY
FreeCodeCamp via Topcoder

Learn to use python in fundamental scripting to machine learning with the Scientific Computing with Python certification.

Mode

Online

Duration

165 Hours

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The Scientific Computing with Python certification course is offered by the Topcoder Academy for a period of 165 hours over 2 separate modules. All the participants who are intrigued by this course can easily participate as there are no prerequisites. This course will teach about python which is considered one of the most sought-after programming languages that are flexible.

After the Scientific Computing with Python training, the candidates can make use of python for basic scripting, and using machine learning. Throughout this course, the candidates will be learning Python fundamentals including various kinds of loops, variables, functions, and conditionals. 

The highlights

  • 165 hours of study
  • Certificate by freeCodeCamp
  • Small course
  • Skill development course

Program offerings

  • 2-course modules
  • Login to start
  • Short course

Course and certificate fees

certificate availability

Yes

certificate providing authority

Topcoder

Who it is for

This Data Visualization program is very much suitable for people like machine learning engineers, and Python Programmers.

Eligibility criteria

Academic Qualifications

  • No particular requirement is stated to participate in this course. 

Certification Qualifying Details

  • Once someone completes every module in this course shall be issued a Scientific Computing with Python certification by Topcoder Academy.

What you will learn

Machine learning Knowledge of python

The Scientific Computing with Python certification syllabus will help in quickly ramping up the different complex data structures, relational databases, data visualization, and networking.

The syllabus

Python for Everybody

  • Introduction: Why Program?
  • Introduction: Hardware Architecture
  • Introduction: Python as a Language
  • Introduction: Elements of Python
  • Variables, Expressions, and Statements
  • Intermediate Expressions
  • Conditional Execution
  • More Conditional Structures
  • Python Functions
  • Build your own Functions
  • Loops and Iterations
  • Iterations: Definite Loops
  • Iterations: Loop Idioms
  • Iterations: More Patterns
  • Strings in Python
  • Intermediate Strings
  • Reading Files
  • Files as a Sequence
  • Python Lists
  • Working with Lists
  • Strings and Lists
  • Python Dictionaries
  • Dictionaries: Common Applications
  • Dictionaries and Loops
  • The Tuples Collection
  • Comparing and Sorting Tuples
  • Regular Expressions
  • Regular Expressions: Matching and Extracting Data
  • Regular Expressions: Practical Applications
  • Networking with Python
  • Networking Protocol
  • Networking: Write a Web Browser
  • Networking: Text Processing
  • Networking: Using urllib in Python
  • Networking: Web Scraping with Python
  • Using Web Services
  • Web Services: XML
  • Web Services: XML Schema
  • Web Services: JSON
  • Web Services: Service Oriented Approach
  • Web Services: APIs
  • Web Services: API Rate Limiting and Security
  • Python Objects
  • Objects: A Sample Class
  • Object Lifecycle
  • Objects: Inheritance
  • Relational Databases and SQLite
  • Make a Relational Database
  • Relational Database Design
  • Representing Relationships in a Relational Database
  • Relational Databases: Relationship Building
  • Relational Databases: Join Operation
  • Relational Databases: Many-to-many Relationships
  • Visualizing Data with Python
  • Data Visualization: Page Rank
  • Data Visualization: Mailing Lists

Scientific Computing with Python Projects

  • Arithmetic Formatter
  • Time Calculator
  • Budget App
  • Polygon Area Calculator
  • Probability Calculator

Admission details

To enrol in the Scientific Computing with Python classes, go through these steps:

Step 1: Visit the programme URL: https://platform-ui.topcoder.com/learn/freeCodeCamp/scientific-computing-with-python.

Step 2: The candidates can start signing up by considering accounts like Google or Github.

Step 3: Only when the sign-up is over, the candidates will have to recheck by logging in, and then only learning can begin.


Filling the form

While joining Topcoder, the candidates will have to fill in a simple application form. The form will only ask them to fill in details like their full name, country of residence, their email contact details, and will also ask them to create a handle for further sign up.

How it helps

The Scientific Computing with Python certification benefits all the candidates who want to step their feet into the data science world even if they do not have any knowledge in this field. After learning this course from the Topcoder platform the candidates can showcase their new skills.

FAQs

Are there any prerequisites for the Scientific Computing with Python online course?

Absolutely no knowledge of Python is needed for admission to this course.

What no. of hours has to be completed for the course?

The course can easily get over by learning for 165 hours.

What is the name of the creator of this online course?

The freeCodeCamp.org community is the one making this course from scratch.

How is the total number of hours divided among the modules?

The 1st and 2nd modules are taught for 15, and 150 hours.

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