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Dave - Laniscat, FranceC$176
C$176Managing to get the most from people, particularly aimed at software development
Software engineering is a complex skill requiring a lot from the engineers engaged in it. It isn't the only process which fits this description. To get the best from them you need to understand a lot about your people, how to get the best from them, how to setup the organisation, what does and doesn't work in different cultured. I have worked in many countries from the far east to America, from the frozen north of Finland to the heat of India. The people are as different as the countries and you will need to adjust your style depending on who you are working with, this course contains tips on this. I have managed small projects with just a couple of people to hundreds on multi million pound multi year programs, maintaining motivation over such things depends on many things and I can show you a good number of them. Coping with the demand to know 'when will it be ready' is a skill in its own, how do you estimate, how do you predict, what do you do when someone wants it quicker. There are different techniques for management of projects - 'waterfall', 'v-model', 'spiral', 'agile' to cover a few, what are the differences, what are the advantages and disadvantages of each, how to choose the right one for your project and organisation. Reporting, not just pretty graphs but how to find out the TRUTH so you know what to say and don't look a fool in a months (or even an hours) time.
Project management · Management skills
Jose Ignacio - Madrid, SpainC$125
C$125"Leadership in Information Security: From Engineer to CISO"
Course Description: This advanced course is designed for engineering professionals who wish to evolve into strategic leadership roles in information security, such as ISO (Information Security Officer), BISO (Business Information Security Officer) or CISO (Chief Information Security Officer). Throughout the program, participants will acquire the technical, strategic and management skills necessary to lead security initiatives, protect critical assets and ensure regulatory compliance in complex corporate environments. Key topics will be explored, such as designing cybersecurity strategies, implementing governance policies, assessing risks and communicating effectively with senior management. Main objectives of the course: Understand the regulatory framework and international standards such as ISO 27001, PCI DSS, and GDPR. Develop skills to manage comprehensive security programs aligned with business objectives. Design incident response, business continuity and disaster recovery strategies. Improve the ability to lead multidisciplinary teams and manage cybersecurity budgets. Strengthen executive communication to report risks and proposals to management and board levels. Addressed to: Engineers with experience in technical areas of computer security, networks, development or auditing, who seek to make the leap to strategic leadership positions in cybersecurity. Methodology: The course combines theoretical sessions, real case studies, practical workshops and simulations of leadership scenarios. In addition, support is offered for the design of professional development plans and relevant certifications such as CISSP, CISM and CRISC. Duration: 10 weeks (includes a final evaluation and an applied strategic project). Modality: In-person, virtual or hybrid. This course is the first step in transforming your technical experience into a career in enterprise-level information security leadership.
Information technology · Computer engineering · Computational neuroscience
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Joseph - Thika, KenyaC$29
C$29Setting up a branding shop in simple steps using Adobe, Laptop and few cheap machines.
From Logo to Launch: Setting Up Your Branding Shop Master the essentials of starting your own branding business with minimal investment. This comprehensive course is designed for beginners and intermediate creators who want to turn their creative skills into a profitable venture. You'll learn to establish a professional branding shop using Adobe Creative Suite, a laptop, and select affordable equipment. Course Highlights: - Essential Adobe software techniques for brand development - Cost-effective equipment selection and setup strategies - Professional workflow management for brand projects - Client communication and project pricing fundamentals - Practical exercises in logo design, brand identity, and marketing materials By the end of this course, you'll have the technical skills and business knowledge to launch your own branding shop, handle client projects confidently, and create professional-grade branding materials. Perfect for graphic design enthusiasts, entrepreneurial creatives, and those looking to start a side hustle in the branding industry. Duration: [Insert your preferred duration] Prerequisites: Basic computer skills and access to Adobe Creative Suite Equipment Needed: Laptop with Adobe Creative Suite installed Don't let budget constraints hold you back – learn how to build a professional branding business with minimal initial investment and maximum creative output.
Adobe illustrator · Adobe photoshop · Adobe after effects
Hossam - EgyptC$7
C$7Introduction 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 KingdomC$28
C$28Bioinformatics 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
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