Python Mastery for Psychologists

Python Mastery for Psychologists, available at $19.99, with 13 lectures, and has 5 subscribers.

You will learn about Write Python scripts for data analysis tasks. Construct data visualizations. Implement Python code to read datasets. Apply statistical operations on data using Python. Describe the 6 core elements of Python for Data-Science. This course is ideal for individuals who are Psychology Students and Researchers who wish to learn Python for Machine Learning or Statistics It is particularly useful for Psychology Students and Researchers who wish to learn Python for Machine Learning or Statistics.

Enroll now: Python Mastery for Psychologists

Summary

Title: Python Mastery for Psychologists

Price: $19.99

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: £19.99

Quality Status: approved

Status: Live

What You Will Learn

Write Python scripts for data analysis tasks.
Construct data visualizations.
Implement Python code to read datasets.
Apply statistical operations on data using Python.
Describe the 6 core elements of Python for Data-Science.

Who Should Attend

Psychology Students and Researchers who wish to learn Python for Machine Learning or Statistics

Target Audiences

Psychology Students and Researchers who wish to learn Python for Machine Learning or Statistics

Welcome to our Python 3 Course tailored for Psychologists, hoping to get into AI/Machine Learning. Designed by Dr Chandril Ghosh, a chartered psychologist and a lecturer in Psychology (Computing), this course offers a quick introduction to Python, focusing on its application in psychological research and data analysis.

You’ll start with the basics, setting up your Python environment compatible with all OS types (Windows, Mac and Linux). Progressively, dive into the six pivotal Python elements essential for data science. Engage with interactive notebooks to reinforce your learning, and cap it off with a milestone project. By the end, you’ll be proficient in analyzing and visualizing psychological data using Python.

Learning Outcomes:

Write Python scripts for data analysis tasks.
Construct data visualizations.
Implement Python code to read datasets.
Apply statistical operations on data using Python.
Describe the 6 core elements of Python for Data-Science.

Additionally, you’ll gain access to our supportive online community, acquire a certificate upon completion, and benefit from a 30-day money-back guarantee. Boost your research capabilities and add a valuable skill to your resume. Enroll now and step into the future of psychology data analysis.

Note: While this course introduces aspects of Machine Learning and Data Analysis, its primary focus is on equipping you with robust Python skills. Think of it as laying a solid foundation. Once you’re comfortable with Python, you’re welcome to delve deeper into Machine Learning via our platform (machinelearning behaviourguide).

Course Curriculum

Chapter 1: Setting Up

Lecture 1: Introducing Python for Data-Analysis

Lecture 2: Installing Anaconda

Lecture 3: Opening and Running the first Jupyter Notebook

Chapter 2: 7 Core Lessons in Python

Lecture 1: Introduction

Lecture 2: Chapter 1: Libraries

Lecture 3: Chapter 2: Lists and Dictionaries

Lecture 4: Chapter 3: Functions

Lecture 5: Chapter 4: Loops

Lecture 6: Chapter 5: Variables

Lecture 7: Chapter 6: Object-Oriented Programming

Lecture 8: Chapter 7: Final Codes

Chapter 3: Project-Based Learning

Lecture 1: Walkthrough

Lecture 2: Bonus

Instructors

BehaviourGuide® Academy Artificial Intelligence + Psychology
AI Psychology Trainer

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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