Python is one of the open-source, flexible and premier languages that has powerful libraries for data analysis and data manipulation. During training, the delegates will learn basic to advanced concepts of Python including writing Python scripts, file operations and much more.

Silicon Beach Training introduces Python Programming Certification Training which is designed to provide in-depth knowledge about the basics of Python, Statistics and Machine Learning. The delegates will learn how to use libraries such as numpy, pandas, scikit, matplotlib and more. Moreover, they will be able to master the concepts of Python machine learning, scripts and sequence. The course will be delivered by highly qualified and certified instructors who will includes practical exercises in the training programme to make the study more interactive.  

Prerequisites

For attending this course, the delegates should have a fundamental knowledge of computer programming languages. However, having understanding of data analysis can be beneficial.


Course Objectives

During the training program, the delegates will:

  • Learn how to use python networks and master the art of presenting data analysis
  • Identify tools and techniques required for predictive modeling
  • Perform text mining an sentimental analysis
  • Achieve expertise in handling business operations successfully
  • Validate algorithms of machine learning
  • Work with real-time data

Who is this course for?

This course is best suited for the following audience:

  • Programmers
  • Developers
  • Technical Leads
  • Architects
  • Analytics Managers
  • An Introduction
  • Python Installation
  • Variables
  • Lists and Dictionaries
  • Conditional Expressions
  • Built-in Functions
  • Loops
  • Iterators and Generators
  • User-Defined Functions
  • Modules
  • Random Numbers
  • Date and Time
  • Exceptions
  • Regular Expressions
  • Classes and Objects
  • Files Input / Output
  • CSV and JSON
  • PIP
  • Install External Modules
  • Network and Servers
  • Database
  • Lab: Database Programming

Follow-On Courses

  • PHP Programming
  • PHP & MySQL for Web Development
  • PHP Programming & MySQL for Web Development
  • Introduction to MySQL

 

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Starting Price:£1975

Duration:2 Days

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Starting Price:£1975

Duration:2 Days

Python Course

Best Selling Course in UNITED KINGDOM

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Brighton, UNITED KINGDOM

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Duration : 2 Days

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19 Dec 2024

£3995

Python Course

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Please reach us at+44 20 4571 2395 or info@siliconbeachtraining.co.uk or for more information about the schedule

Python Course

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6 Months Access - £219
1 Year Access - £439

Your Online (Python Course) Package

Upon purchase you will receive a password via the email you used to purchase the course.

You will then be able to login to our online learning platform with your email and password.

You will have access to the platform for 90 days to complete your course.

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Our Onsite/In-house Training method is most selected by organisations, as it allows them to train their employees at their choice of place. We can also tailor the course content to focus on your needs.

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To win in this competitive world, you need to be constantly moving forward, and Silicon Beach Training is the one that can help you. Our courses are highly engaging as we have high-quality and certified training courses for both individuals and organisations that are structured in easy to digest modules. We don't compromise on the quality of our trainers. We have:

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With extensive experience working with large organisations, national and local government, universities, charities, SMBs and individuals we believe that no client is too big or too small. This creates a diverse atmosphere on our scheduled courses with the opportunity to discuss solutions for a wide range of problems. We excel at developing bespoke training solutions for prestigious clients including EDF Energy, Sport England and Tesco PLC.

Banco Central Do Brasil

Nationwide Building Society

EDF Energy

EDF Energy

Sport England

Sport England

Tesco PLC

Tesco PLC

Imperial College London

Imperial College London

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