Python Mastery For Psychologists

Data Analysis and Machine Learning Essentials

What you'll 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.

Requirements

No programming experience required. You will learn everything you need to know.

Description

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).

Overview

Section 1: Setting Up

Lecture 1 Introducing Python for Data-Analysis

Lecture 2 Installing Anaconda

Lecture 3 Opening and Running the first Jupyter Notebook

Section 2: 7 Core Lessons in Python

Lecture 4 Introduction

Lecture 5 Chapter 1: Libraries

Lecture 6 Chapter 2: Lists and Dictionaries

Lecture 7 Chapter 3: Functions

Lecture 8 Chapter 4: Loops

Lecture 9 Chapter 5: Variables

Lecture 10 Chapter 6: Object-Oriented Programming

Lecture 11 Chapter 7: Final Codes

Section 3: Project-Based Learning

Lecture 12 Walkthrough

Lecture 13 Bonus

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