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Private lessonsComputers & ElectronicsComputers & Electronics in Bootle

3 computers & electronics teachers in Bootle

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3 computers & electronics teachers in Bootle

Hossam - Egypt£4
£4Introduction to Python Programming from the Digital Skills Curriculum for the First Intermediate Grade, Unit One
Introduction to Python Programming Lesson content: Part One: Introduction to Programming - Definition of programming: A simple explanation of what programming is and how it contributes to the development of applications, games, and websites. - The role of programming in daily life: Examples of applications used in daily life such as smartphones, games, and Internet tools. Part 2: Getting to Know Python - What is Python: An introduction to the Python language, its history, and its various uses. - Python features: ease of learning and reading, use in multiple fields such as web development, data analysis, and artificial intelligence. - Comparison with other programming languages: A quick introduction to the differences between Python and languages like C++ and Java. Part Three: Preparing the Software Environment - Python installation steps: Explaining how to download and install Python from the official website. - Programming Tools: Introduction to development environments (such as IDLE or PyCharm) and how to set them up to work with Python. Part 4: Writing Your First Python Program - Writing a “Hello, World!” Program: Have students write the first simple program that displays a message on the screen. - Explanation of the instructions used: Definition of basic elements such as printing and commenting in programming. Interactive activities: - Encourage students to contribute writing in which they can develop ideas for simple programs. - Host a discussion on how programming can change their personal and professional lives in the future. Required materials: - Computers with internet access. - Python installed (if possible). Rating: - At the end of the lesson, students will be asked to write their own simple program using what they have learned, and share it with their classmates to exchange ideas and learn from each other. This lesson aims to stimulate students' creativity and develop their analytical thinking skills through Python programming.
Computer basics
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Shishir Shreyas - United Kingdom£15
£15Bioinformatics and Data Skills using R, Python, Mega and Galaxy
Dive into the exciting world of bioinformatics, where biology meets data science! This class equips you with essential bioinformatics and data analysis skills to explore and analyze biological data effectively. You will learn how to manage, visualize, and interpret complex datasets using tools like R or Python, understand sequence alignment and annotation techniques, and delve into topics like genomics, transcriptomics, and proteomics. What You'll Learn: Data Handling: Fundamentals of working with large biological datasets, including cleaning, formatting, and preprocessing data. Programming Skills: Basics of R or Python for bioinformatics applications, including scripting and automating analyses. Genomic Analysis: Sequence alignment, gene annotation, and exploring genomic databases. Statistical Analysis: Applying statistical techniques to identify patterns and draw meaningful conclusions. Visualization: Creating clear and informative plots for biological data. Applications: Perform differential gene expression analysis to understand disease mechanisms. Analyze genetic variants to study evolutionary patterns or predict disease risks. Explore protein structures and functions for drug discovery. Use bioinformatics pipelines to support cutting-edge research in academia or industry. Whether you're aspiring to work in biotech, academia, or data science, this class provides the foundation you need to bridge biology and technology, opening doors to a range of exciting opportunities.
Biology · Computer programming · Database
Edoardo - Luxembourg, Luxembourg£41
£41Excel Mastery: From Basics to Advanced Applications
Excel is more than just a spreadsheet—it’s a powerful tool for data analysis, problem-solving, and automation. This course is designed to take you from foundational skills to advanced techniques, enabling you to harness Excel's full potential in real-world scenarios. Whether you're managing data, building models, or optimizing workflows, this hands-on course will equip you with the knowledge and practical expertise to excel (pun intended) in any professional environment. Introduction & Foundations - Overview of Excel’s interface and advanced formatting tools - Key functions like LOOKUP for efficient data handling Working with References & Logical Functions - Mastering relative and absolute references, INDIRECT function - Using ranges, lists, and logical/information functions Formatting, Functions, & Shortcuts - Conditional formatting for data insights - Text functions and essential keyboard shortcuts Data Import & Advanced Operations - Importing data from external sources - Working with dates, times, and matrices Data Analysis Tools - Creating and managing data tables - Data validation and pivot tables for deep analysis Advanced Functions & Formula Auditing - Math, statistical, and financial functions - Troubleshooting and auditing worksheets Advanced Analysis & Automation - Form controls, regression analysis, and scenario building - Introduction to macros for automation
Microsoft excel
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