In this course, you will learn how to create or design your own custom T-shirt in Photoshop. This course is for Intermediate skill levels, so you will find this course easy to follow if you have basic Photoshop knowledge. You will learn how to design a firefighter t-shirt, how to design a hero soldier or I’d rather die like a man than live like a coward tagline design, how to design a wanted black and white t-shirt, and how to design a lumberjack t-shirt using only elements. You will have a class project for every lesson, so once you learn a lesson, you will have to do a class project, and then you will have practice during learning.

What This Course Includes:

· Free T-Shirt Mock up

· Complete PSD File

· Life-Time Access

· Support From Me

· Free Design Graphics and Elements

· New Updates Often

So once you complete this course, you will be able to design a t-shirt in Adobe Photoshop CC, and you will know the sites where you can sell the design of your t-shirt. Let me clear one thing that once you complete this course, you will be able to upload or create gigs on Fiverr for selling your t-shirt, as well as you will also learn how to sell t-shirt designs in Teespring. So this t-shirt design masterclass is perfect for you if you want to learn t-shirt design.

Create viral videos using Capcut, Chat GPT and Elevenlabs. Learn who to discover trends, create scripts and voiceovers

In this comprehensive course, you’ll gain a strong foundation in financial accounting and bookkeeping, starting from the basics and advancing to more complex concepts. Whether you’re a beginner or seeking to refresh your skills, this course offers an accessible, step-by-step approach to mastering key accounting principles.

You will begin by learning essential accounting concepts, such as the accounting equation, double-entry system, and the preparation of fundamental financial statements, including the income statement, balance sheet, and cash flow statement. As you progress, you’ll develop practical skills in recording journal entries, posting to ledgers, and preparing trial balances.

One of the key highlights of this course is the integration of Excel. You’ll learn how to leverage Excel for accounting tasks, from recording financial data to automating calculations and generating financial reports. You’ll also explore advanced topics such as depreciation, including methods like straight-line and declining balance, and learn how to properly record and account for asset depreciation.

Throughout the course, you’ll work with real-world examples and practical case studies, giving you the opportunity to apply what you’ve learned to real business scenarios. By the end of the course, you’ll be confident in your ability to manage and analyze financial data, use Excel for accounting tasks, and prepare accurate financial statements.

This course is designed to equip you with the knowledge and tools you need to succeed in accounting, whether for professional growth, personal financial management, or even starting your own business.

Are you ready to unlock the power hidden within data? In today’s world, the ability to analyze data is a crucial skill for success in countless industries. Python has emerged as the undisputed leader in the data analysis landscape, thanks to its versatility, ease of use, and incredibly powerful libraries like Pandas, NumPy, Matplotlib, and Seaborn.

This comprehensive course, Python for Data Analysis, is your guide to mastering the essential techniques for working with data using Python. Whether you’re an aspiring data analyst, a student, a researcher, or a professional looking to add valuable data skills to your resume, this course provides the practical knowledge you need to turn raw data into actionable insights.

You will start by getting comfortable with the Python environment (a quick recap is included if you’re a bit rusty) and dive deep into the Pandas library, the cornerstone of data manipulation in Python. Learn how to effectively clean and prepare messy real-world datasets, handling missing values, validating data quality, and transforming data into the right format for analysis.

Beyond just cleaning, you’ll learn how to perform both descriptive and inferential statistics using Python libraries, including applying regression analysis to understand data patterns and relationships. Discover techniques to merge, join, pivot, and reshape datasets to gain different perspectives on your information. You’ll also explore how to handle time series data, a common format in many domains.

Communication is key! This course also covers how to create compelling data visualizations using Python’s powerful plotting libraries. Learn to represent your findings visually to tell clear and impactful data stories that resonate with stakeholders.

Throughout the course, hands-on practice exercises and examples will give you the opportunity to apply what you’ve learned immediately, building your confidence and practical skills.

By the end of this course, you will have the practical skills and confidence to tackle a wide range of data analysis projects using Python, turning raw data into meaningful insights and visualizations. No prior data analysis experience is necessary. Basic Python knowledge is helpful but not strictly required.

Enroll today and take the first step towards becoming a skilled data analyst using the power of Python!

Course provided by MTF Institute of Management, Technology and Finance

MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.

MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.

MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.

MTF is present in 217 countries and has been chosen by more than 775000 students.

Course Author:

Tayzer is a skilled data analyst and researcher with a cross-disciplinary background that bridges engineering, data science, and product development. With a Master’s degree in Solar Energy Engineering and Bachelor’s degree in Environmental Engineering, Tayzer brings a strong foundation in sustainable technologies and data-driven decision-making to modern business challenges.

Throughout his career, Tayzer has played pivotal roles in data analytics and engineering across sectors including smart home technology, consulting, and human resources. He has worked across both innovative startups and major consulting firms, where he designed and implemented ETL pipelines, implemented data governance frameworks, and built performance dashboards to inform strategic decisions. His work often focuses on translating complex datasets into actionable insights that drive operational efficiency and product innovation .

In addition to his professional roles, Tayzer has been actively involved in research since the early stages of his career, contributing to studies on renewable energy, solar system design, and environmental impact. His academic contributions include co-authored publications on sustainable energy management and resource optimization.

With a multicultural and multilingual background, Tayzer leverages his international experience to collaborate on data-driven projects, fostering innovation through data analytics and sustainable thinking.

Course Description:

Are you ready to transform raw data into powerful insights?

We’re thrilled to announce the launch of our brand new course: “Python for Data Analysis”!

In data-driven world, mastering data analysis is no longer a luxury – it’s a necessity. Python, with its incredible ecosystem of libraries like Pandas, NumPy, Matplotlib, and Seaborn, is your ultimate tool for success.

This comprehensive course is designed to equip you with the essential techniques to tackle any data analysis challenge using Python. Whether you’re an aspiring data analyst, a student, a researcher, or a professional looking to upskill, this program is for YOU!

Cyber Security is one in every of cutting-edge most up to date profession fields. This course will provide a wide overview of Cyber Security concepts and practices. Beginning with underlying fundamentals of cyber security, additional lessons discover centre technologies along with encryption, sandboxing, and antiviruses. Securing your WordPress website and your online identity is likewise featured, as are secure online transactions, email security, and how to conduct cyber activities. 

The course unfolds over 15 video training and supplemental substances.We will be constantly adding new videos into this Course. Videos include the understanding of the security concepts and talk on making the non-technical users of the internet understand the realm of cyber security and understand how to protect their online identity. The Studying is self-paced, however the complete series may be experienced in about one weeks. And moreover we have made sure to add topics that would help the general public to understand the basics of Cyber Security in order to protect themselves from the predators of the internet.

This course is designed for people with absolutely no knowledge of Artificial Intelligence Markup Language (AIML). It guides you step by step and teaches you how to create a chatbot using the world’s most popular chatbot language. From the very beginning to more advanced features, take it at your own pace, practice and learn from Steve Worswick, the 5 times holder of the Loebner Prize.

Looking for the most direct path to a high-demand career in the tech industry? This is it.

Software is everywhere, and every single piece of it needs to be tested. This simple fact has created a massive, global demand for skilled Software Quality Assurance (QA) Engineers. If you’re looking for one of the most accessible and rewarding entry points into the world of technology, a career in software testing is your answer.

This course is your complete introduction to the fundamentals, taught by a senior-level QA Automation Engineer with over a decade of real-world experience.

Why This Course is Different

There’s no fluff here—just practical, foundational knowledge you can apply directly to your career. Forget dense theory and outdated concepts. This course is built to give you a clear, honest look at the skills you’ll actually use on the job, from understanding how software is built to testing it with the same tools professionals use every day.

What You’ll Actually Learn:

Grasp the Big Picture of QA: Understand what Software Testing truly is, why it’s a respected and crucial part of the tech industry, and what the day-to-day responsibilities of a QA professional look like.

Manual vs. Automation in Action: Learn the key differences between Manual and Automation Testing through live demos. You’ll see a real manual test case executed and then watch the same test run automatically with a Python Selenium script.

Write Professional Test Cases: A test case is the single most important document a tester creates. You’ll learn what it is, why it matters, and how to write one effectively. We’ll also explore professional test case management tools like Qase.

Understand How Software is Built (SDLC): Learn what the Software Development Life Cycle (SDLC) is and see exactly how QA fits into both modern Agile and traditional Waterfall teams.

Get Hands-On with API & Backend Testing: Go behind the user interface to understand what backend testing means. You’ll get a beginner-friendly introduction to APIs and use Postman—a critical tool for any tester—to verify that an application is working correctly.

Learn the SQL Basics for Testers: You don’t need to be a database expert, but you need to know the basics. Learn what SQL is and see a live example of how testers use it to query a database and validate application data.

This course is designed for complete beginners looking for a clear starting point, manual testers who feel stuck, and anyone curious about a career in software testing. Whether you’re transitioning from a non-technical role or a developer wanting to understand the QA process, these foundational concepts are for you.

This course is your first step. By the end, you’ll have a clear understanding of the QA career path and the foundational knowledge you need to continue your journey toward becoming a skilled SDET.

Join the thousands of students who have started their software testing careers right here!

Are you ready to launch your journey into the world of data analysis? This comprehensive beginner-level course is designed to equip you with the fundamental skills and hands-on experience needed to succeed as a Data Analyst or Data Engineer in today’s data-driven world.

Through a step-by-step learning path, you’ll explore everything from the basics of data types and sources to the more practical application of cleaning, analyzing, and visualizing data. You’ll start by understanding what a Data Analyst does and how their role supports business decision-making. Then, you’ll dive into the full data analysis process, learning how to work with different data formats, perform data collection, and handle common data quality issues.

You’ll work with popular tools such as Microsoft Excel, SQL, Python (with Pandas), and visualization tools like Power BI and Tableau. These tools are widely used in industry and will allow you to perform real-world tasks such as data cleaning, data transformation, database querying, and interactive dashboard creation.

In the Excel section, you’ll master essential spreadsheet techniques including formulas, pivot tables, sorting/filtering, and conditional formatting. You’ll then move to SQL, where you’ll learn how to write basic to intermediate queries, perform JOINs, filtering, aggregations, and manipulate data with INSERT, UPDATE, and DELETE statements.

Next, you’ll explore data visualization and exploratory data analysis (EDA) using both Excel and business intelligence platforms. You’ll learn how to choose the right chart, apply data storytelling techniques, and build interactive dashboards with slicers, filters, and drilldowns. These skills are crucial for presenting insights clearly and effectively to stakeholders.

The course also introduces you to Python for data analysis, focusing on the Pandas library, along with basic visualizations using Matplotlib and Seaborn. These tools are essential for those looking to transition into more technical roles or enhance their analytical capabilities.

Toward the end of the course, you’ll focus on communicating insights through well-structured presentations, storytelling with data, and delivering findings to non-technical stakeholders. These soft skills are just as important as technical ones in a successful data career.

Whether you’re a student, career switcher, or working professional looking to add data analysis to your skill set, this course is structured to help you succeed—even with no prior experience.

By the end of this course, you will:

• Understand the role of a data analyst

• Use Excel, SQL, and Python to clean and analyze data

• Build dashboards using Power BI and Tableau

• Tell compelling data stories that drive action

Enroll today and take the first step toward becoming a job-ready data professional with the tools, techniques, and confidence to work with data in any industry.

Hello everyone, welcome to our class of FIGMA for learning UI UX design so if you are planning to learn about it from the beginning then you are in the right place because we will cover in this class from the basic to advanced. This is a beginner level class so if you have no previous experience then you can join this class.

Let’s take a look what you will learn from this class:

• Introduction to figma

• User interface

• Collaboration

• Design principles and best practices

• Mastering design elements

• Prototyping and interactive design

• Responsive design and component libraries

• Real-world projects and case studies

After completing this class, you will be able to do:

• The knowledge and confidence to leverage Figma effectively

• Create stunning designs

• Collaborate seamlessly

• Tackle real-world design challenges

• Learn more about remote functionality

This is a project-based class so during learning you will have class project so what you learned you will be able to participate in class project so you can do practice while you are learning. You will have supporting resources in this class so it will be easier for you to learn.

While learning if you face any issue or if you have any question then feel free to ask me, I am always there to help you. So, let’s start learning FIGMA for learning UI UX design.