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Free Download Python for Engineers, Scientists and Analysts Published 9/2024 Created by Harry Munro MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 11 Lectures ( 1h 36m ) | Size: 789 MB Introduction to Data Analysis, Statistics, Modelling and Visualisation What you'll learn: Learn how to install and run Python on your computer Write and execute basic Python scripts. Import data from CSV files and other formats. Utilise libraries such as Pandas for data manipulation and exploration. Apply statistical methods to analyse data (e.g., mean, median, standard deviation). Calculate and interpret descriptive statistics using Python libraries. Apply advanced statistical measures such as percentiles and interquartile range to gain deeper insights into data variability. Create new data using mathematical and statistical models. Simulate real-world scenarios using models in Python. Generate plots and visualisations using libraries like Matplotlib and Seaborn. Create informative charts, graphs, and plots to summarise data. Write functions for repetitive tasks in data analysis. Understand the concept of modular programming and apply it to real-world problems. Solve engineering, scientific, and analytical problems using Python. Integrate data analysis and visualisation techniques to extract insights from data. Present data analysis results through clear, professional visualisations. Use Python to automate processes and produce immediate, actionable insights. Requirements: Basic Computer Literacy: Learners should be comfortable using a computer, navigating files, and installing software. Curiosity and a Willingness to Learn: No prior programming experience is required! This course is designed to take beginners through the foundations of Python and data analysis step by step. (Optional) Basic Understanding of Mathematics and Statistics: While not required, familiarity with basic statistical concepts (e.g., mean, median, and standard deviation) will help learners get the most out of the course, particularly when we explore data analysis and modelling. No Prior Python Experience Required! This course is ideal for beginners, and we'll cover everything you need to know from scratch. If you're new to programming, don't worry-this course is designed to make Python accessible and enjoyable. Description: Unlock the power of Python to address real-world challenges in engineering, science, and data analysis with efficiency and precision. This course is designed to provide you with the essential skills needed to apply Python in practical, industry-relevant contexts-whether you're a professional seeking to automate workflows, a student aiming to enhance your data analysis capabilities, or simply interested in using Python to streamline complex tasks.Developed for learners of all levels, this course provides clear, structured guidance on the core concepts of Python. Through hands-on exercises and real-world examples, you will learn how to import, clean, and manipulate data, perform key statistical analyses, build mathematical models, and create professional visualisations. 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