uCertify introduces Data Visualization with Python course

Developers who display data as powerful and entertaining visualizations are always in demand, especially with so much data being generated on a regular basis. uCertify has introduced Data Visualization with Python course to provide a solid training ground for Python developers, data analysts, and data scientists to enable them to present critical data insights in a way that best captures the user’s attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. The course improves your data exploration skills and serves as a great starting point for your exciting journey of developing interactive data visualizations using Python.

The course starts with a tutorial on how to use Matplotlib and Seaborn, two non-interactive data visualization libraries, to create various plots. You’ll learn how to compare different types of visualizations and how to choose the right one for your needs. You’ll learn the fundamentals of intuitive and convincing data visualization, as well as how to use Altair, Bokeh, and Plotly to turn your images into strong tales after you’ve mastered the various non-interactive visualization tools. You’ll have a new skill set by the end of the course that will make you the go-to person for turning data visualizations into engaging and interesting storytelling.

The reader is carefully guided through the many phases and components of interactive visualization through a series of actual case studies as part of an entertaining syllabus. It’s jam-packed with useful information throughout, and programming activities are complemented by helpful hints and advice on the tools’ capabilities and limits. It teaches you how to:

  • Investigate and employ various static and dynamic data visualization strategies.
  • Use plot types and features from the Matplotlib, Seaborn, Altair, Bokeh, and Plotly libraries to their full potential.
  • To make appealing plots, master the art of selecting acceptable plotting parameters and styles.
  • Choose meaningful and useful data presentation methods for your story.
  • Create data visualizations tailored to specific circumstances, contexts, and audiences.
  • When visualizing data, avoid frequent blunders and omissions.

So, enroll in the Data Visualization with Python course today and start learning.

Learn Programming Concepts with uCertify

In today’s world, programming is a necessary talent for creating new ideas and environment-friendly solutions to global challenges. It aids in the development of technical skills and the enhancement of computer and Internet capabilities. Computer programming is the process of creating and coding computer programs. As a skill collection, it includes a wide range of jobs and procedures. Algorithms are implemented through the usage of programs. It can be interpreted as a pseudocode or a flowchart. A program must be developed to train a machine, telling it exactly what to do and how to accomplish it. If a computer program is built, it will follow the algorithm step by step, telling the computer exactly what to do.

uCertify’s Programming Concepts course provides an exceptionally-approachable introduction to programming concepts. The course uses both a flowchart and a code version to make programming easier. It uses flowcharts to demonstrate basic programming concepts such as variables, data types, assignment statements, arithmetic operations, decisions, loops, arrays, and functions before moving on to equivalent code. Basic troubleshooting and debugging procedures are also covered, as well as an overview of program design methodologies such as waterfall and agile design processes, UML, libraries, and more. It has a Coral simulator built-in, as well as hundreds of learning questions, tens of auto-generated auto-graded homework exercises (little program tracing or writing tasks) with several difficulty levels, and tens of tiny programming assignments.

Many teachers believe that students in basic programming classes utilizing commercial coding languages (Python, Java, C++, C#, and so on) must master not just fundamental programming concepts, but also the non-ideal technical syntax and semantics of the language in question. An alternate strategy, which is adopted in this course, is to teach programming ideas in a “language-neutral” manner first, allowing students to understand those concepts before needing to learn specific programming language features. This course teaches you how to program using a flowchart language, which is more user-friendly while still maintaining the precision of a programming language. The program also teaches a simple textual coding language that is so easy and understandable that it can be considered “executable pseudocode,” allowing students to progress from flowcharts to coding to an industry coding language over time. Coral is the same language as the flowchart and code languages. Coral is run by a web-based instructional simulator that displays variable values in memory, consumes inputs, generates outputs, and allows for step-by-step or instant execution. Students can change the text code, and the simulator will draw the flowchart for them. The flowchart’s orientation is tailored to the code, both in terms of top-to-bottom flow and sub-statement indentation in branches and loops.

So, enroll in the uCertify course and start learning programming concepts today!

uCertify introduces Systems Analysis and Design course

Systems development can be divided into two categories: systems analysis and systems design. Systems, processes, and technology are the subject of system analysis and design. It provides a framework for visualizing the organizational and environmental elements that affect a system’s performance. When a computer is first installed in a business, it comes with a number of features and flaws that influence both the user and the firm. Having access to high-quality data can lead to improved performance and a sense of accomplishment, to name a few benefits. A potential threat to employees’ jobs, a decline in staff morale due to a lack of involvement, and a sense of intimidation among users due to computer illiteracy could all be unintended consequences. The analyst’s responsibility is to allay these fears and guarantee that the system runs well.

uCertify’s Systems Analysis and Design course, with its overriding purpose of training tomorrow’s analysts, provides students with a thorough hands-on introduction to the topic through a project-based approach that matches real-world workflow. Running cases and examples are used to present core concepts, which are backed up by in-depth explanations and additional features that highlight key elements while emphasizing the act of “doing” alongside “learning.” Students gain the key skills and knowledge base that a professional analyst needs, while also acquiring an instinct for approach, tools, and methods as they apply their own work to real-world problems. This course delivers both essential knowledge and the experience of designing and analyzing systems, and it is accessible, interesting, and tailored toward active learning. Students are provided with a rich and applicable skill set that correlates directly to real-world systems analysis tasks.

So, what are you waiting for? Gain hands-on expertise in system analysis and design today, with uCertify! Also, don’t forget to enter promo codeFRIDAY25 while checking out to get a site-wide 25% discount.

Check out uCertify’s Using Data Science Tools in Python course

Data science is being used as a tool for guiding business decisions. The ability to extract knowledge from data is critical for a modern firm to be competitive, regardless of industry. Python® is a computer language that is at the forefront of data science. Python’s comprehensive modules have made it possible for data scientists to load, analyze, shape, clean, and visualize data in simple yet powerful ways. uCertify’s Using Data Science Tools in Python course teaches you the skills you’ll need to effectively use these important libraries to extract useful insights from data and, as a result, add significant value to the company. 

Students who want to improve their abilities to extract knowledge from corporate data should take this course. The target students for this course can be a programmer or data analysts interested in solving business problems with powerful programming libraries. The course comes with interactive lessons and hands-on labs. Lessons are fully responsive and come complete with flashcards, quizzes, glossary, knowledge checks, and many more. The lessons are designed to keep you engaged and make learning fun. The lab is a virtual environment created to allow you to experiment and apply your knowledge to real-life situations. It is also cost-effective as there is nothing to install, maintain, upgrade or support.

So, check out our Using Data Science Tools in Python course and start learning today!