Ask a Tech Teacher

FEBRUARY 20, 2024

Mathematics is not just about solving equations or memorizing formulas; it’s a way of thinking. It teaches us problem-solving skills, logical reasoning, and the ability to think abstractly. Problem-Solving Skills Mathematics is akin to a gym for the mind.

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Chillax Science

MAY 3, 2023

Hands-on Learning Hands-on teaching in science education is an approach to learning that emphasizes practice or experiential activities, such as experiments, demonstrations, fieldwork, and investigations, rather than passive learning through readings or direct instruction. It is often the context of Problem-Based Learning (PBL).

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CSTEM

JANUARY 31, 2022

Though data science may seem like a popular catchphrase in tech, it’s much more than that. Data science is being used across many industries and is a skill that is rapidly expanding to every career field. What is Data Science. How is Data Science Being Used.

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Career in STEM

NOVEMBER 17, 2022

According to The Future of Jobs Report 2020, data analysts and scientists are among the top five positions in high demand across industries. The field is growing rapidly due to the need for more complex and innovative data analysis. The cost of a data analyst Bootcamp varies depending on location and how long it lasts.

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STEM Sport

OCTOBER 17, 2023

Hard skills in STEM encompass the technical and specialized knowledge that students acquire in the fields of science, technology, engineering, and mathematics. Here are some primary hard skills: Data Analysis: The ability to collect, interpret, and draw meaningful conclusions from data.

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STEM Education Shopping

AUGUST 26, 2023

Software engineers develop computer programs that drive technological advancements in areas like artificial intelligence (AI), data analysis, and cybersecurity solutions. Overall, the field of engineering offers incredible opportunities for individuals like me who are passionate about problem-solving and creating innovative solutions.

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STEMe

OCTOBER 13, 2023

This makes Julia perfect for demanding tasks like scientific computing, data analysis, and machine learning. This simplicity is particularly perfect for those new to programming, as they can focus on problem-solving rather than confusing syntax errors.

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