Overview

The goal of this course is to provide a structured introduction to essential knowledge, practical skills, and professional competencies required to enter data-driven and technology-related fields.

It is designed for early-career professionals, students, or career switchers who are new to data, programming, or digital technologies and want to build a strong multidisciplinary foundation. Ideal for individuals aiming to transition into fields such as data science, artificial intelligence, informatics, or digital innovation.

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argenticare

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Foundations: AI & Data Science

Category:

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4

Enrollments

Level

Beginner

Time to Complete:

60 hours 0 minute

Lessons:

36

Certificate:

Yes

Free

Overview

The goal of this course is to provide a structured introduction to essential knowledge, practical skills, and professional competencies required to enter data-driven and technology-related fields.

It is designed for early-career professionals, students, or career switchers who are new to data, programming, or digital technologies and want to build a strong multidisciplinary foundation. Ideal for individuals aiming to transition into fields such as data science, artificial intelligence, informatics, or digital innovation.

What You’ll Learn?

Understand how to plan and navigate a professional transition into data and technology fields
Build effective learning strategies and self-directed study habits
Develop core professional assets such as CV, résumé, LinkedIn profile, and communication skills
Gain foundational literacy in computing, data, statistics, and artificial intelligence
Learn how to explore, evaluate, and choose learning paths and career options
Apply basic programming and data analysis skills through an exploratory data analysis project

Requirements

No prior experience in data science or programming is required
Basic computer literacy and internet access are expected
Learners should be willing to engage in self-directed learning
Creating free accounts on common learning platforms may be required

Instructor(s)

Syllabus Overview

36

Lessons

0

Quizzes

1

Tasks

0

Resources

Career Transition Foundations

Core Professional Skills

Professional English for Tech

Project Management Basics

Literature Search and Evidence Skills

Introduction to Artificial Intelligence

Descriptive Statistics Foundations

Informatics and Digital Foundations

Spreadsheets, Databases, and Presentations

Python and Exploratory Data Analysis

Capstone Project: EDA

Material Includes

Curated articles, videos, and external learning resources
Guided assignments and reflective exercises
Practical tutorials and recommended datasets
Templates and examples for professional documents
A hands-on exploratory data analysis capstone project

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