Практические курсы Lernrise для профессионального роста.
Найдено курсов: 9006
Statistics and A/B Testing: Lab — Quick Start helps learners move from understanding to execution through 7 lessons (~18 hours). It is aimed at career starters and switchers aged 25–34, with emphasis on core concepts an…
Автор: Adam Lawson · Data / Analytics
The course Data Science Fundamentals: Lab — Quick Start is designed for career starters and switchers aged 25–34 and turns the topic into a practical result instead of abstract theory. The program includes 7 lessons, ap…
Автор: Aaron Lawson · Data / Analytics
Tableau and Analytics: Lab — Quick Start is a lab-based course for career starters and switchers aged 25–34. Across 8 lessons and about 21 hours, the curriculum focuses on data handling and preparation, tools, setup, an…
Автор: Zachary Lane · Data / Analytics
Power BI and Dashboards: Lab — Quick Start helps learners move from understanding to execution through 8 lessons (~21 hours). It is aimed at career starters and switchers aged 25–34, with emphasis on data handling and p…
Автор: William Lane · Data / Analytics
The course Advanced Excel: Formulas and Dashboards — Lab — Quick Start is designed for career starters and switchers aged 25–34 and turns the topic into a practical result instead of abstract theory. The program include…
Автор: Wesley Lane · Data / Analytics
Excel for Data Analysis: Lab — Quick Start is a lab-based course for career starters and switchers aged 25–34. Across 8 lessons and about 21 hours, the curriculum focuses on data handling and preparation, tools, setup,…
Автор: Victor Lane · Data / Analytics
The course Python for Data Science: Lab — Quick Start is designed for career starters and switchers aged 25–34 and turns the topic into a practical result instead of abstract theory. The program includes 8 lessons, appl…
Автор: Theodore Lane · Data / Analytics
Python for Automation: Lab — Quick Start is a lab-based course for career starters and switchers aged 25–34. Across 7 lessons and about 20 hours, the curriculum focuses on tools, setup, and learning environment, practic…
Автор: Stephen Lane · Data / Analytics
SQL for Analytics: Lab — Quick Start helps learners move from understanding to execution through 7 lessons (~20 hours). It is aimed at career starters and switchers aged 25–34, with emphasis on core concepts and mental…
Автор: Thomas Lane · Data / Analytics
Python from Scratch: Lab — Quick Start helps learners move from understanding to execution through 7 lessons (~20 hours). It is aimed at career starters and switchers aged 25–34, with emphasis on core concepts and menta…
Автор: Samuel Lane · Data / Analytics
The course Computer Vision: Lab — Quick Start is designed for career starters and switchers aged 25–34 and turns the topic into a practical result instead of abstract theory. The program includes 8 lessons, applied work…
Автор: Ryan Lane · AI / GenAI
Natural Language Processing: Lab — Quick Start is a lab-based course for career starters and switchers aged 25–34. Across 8 lessons and about 29 hours, the curriculum focuses on core concepts and mental models, model tr…
Автор: Robert Lane · AI / GenAI
Deep Learning: Lab — Quick Start helps learners move from understanding to execution through 8 lessons (~29 hours). It is aimed at career starters and switchers aged 25–34, with emphasis on core concepts and mental mode…
Автор: Peter Lane · AI / GenAI
The course Machine Learning: Lab — Quick Start is designed for career starters and switchers aged 25–34 and turns the topic into a practical result instead of abstract theory. The program includes 8 lessons, applied wor…
Автор: Patrick Lane · AI / GenAI
AI for Product and Business Strategy: Lab — Quick Start is a lab-based course for professionals and managers aged 35–44 focused on ROI and leadership. Across 8 lessons and about 18 hours, the curriculum focuses on core…
Автор: Oliver Lane · AI / GenAI
AI for Marketing: Lab — Quick Start helps learners move from understanding to execution through 8 lessons (~18 hours). It is aimed at impulse B2C learners aged 18–34 from social and mobile traffic, with emphasis on core…
Автор: Noah Lane · AI / GenAI
Responsible AI and AI Governance: Lab — Quick Start helps learners move from understanding to execution through 8 lessons (~18 hours). It is aimed at professionals and managers aged 35–44 focused on ROI and leadership,…
Автор: Nathan Lane · AI / GenAI
AI for Software Development: Lab — Quick Start is a lab-based course for career starters and switchers aged 25–34. Across 8 lessons and about 18 hours, the curriculum focuses on core concepts and mental models, practica…
Автор: Nathaniel Lane · AI / GenAI
The course AI for Analytics: Lab — Quick Start is designed for career starters and switchers aged 25–34 and turns the topic into a practical result instead of abstract theory. The program includes 8 lessons, applied wor…
Автор: Nicholas Lane · AI / GenAI
The course LLM Fundamentals: Lab — Quick Start is designed for career starters and switchers aged 25–34 and turns the topic into a practical result instead of abstract theory. The program includes 7 lessons, applied wor…
Автор: Michael Lane · AI / GenAI
Microsoft 365 Copilot: Lab — Quick Start helps learners move from understanding to execution through 6 lessons (~13 hours). It is aimed at professionals and managers aged 35–44 focused on ROI and leadership, with emphas…
Автор: Marcus Lane · AI / GenAI
The course ChatGPT for Work: Lab — Quick Start is designed for career starters and switchers aged 25–34 and turns the topic into a practical result instead of abstract theory. The program includes 8 lessons, applied wor…
Автор: Lucas Lane · AI / GenAI
Prompt Engineering: Lab — Quick Start is a lab-based course for career starters and switchers aged 25–34. Across 8 lessons and about 17 hours, the curriculum focuses on core concepts and mental models, tools, setup, and…
Автор: Leo Lane · AI / GenAI
AI Agents and Agentic AI: Lab — Quick Start is a lab-based course for career starters and switchers aged 25–34. Across 8 lessons and about 23 hours, the curriculum focuses on core concepts and mental models, tools, setu…
Автор: Matthew Lane · AI / GenAI