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Acadium

Acadium

Acadium Inc.

Education免费v7.4.1Android
Google Play
评分

4.1

783 条评分

星级

★★★★☆

最近更新

2026年5月6日

发布日期

2017年5月6日

更新内容

v7.4.1

Update to comply with 16 KB page size

应用信息

开发者
Acadium Inc.
分类
Education
价格
免费
版本
7.4.1
安装量
50,000+
包名
com.genm.genm

简介

WHAT IS ACADIUM? Acadium is the world's largest platform to get digital marketing training and launch a career in marketing. Get access to free marketing courses, apprenticeships, certifications and job opportunities in digital marketing. WHAT IS DIFFERENT ABOUT ACADIUM? We offer a FREE end to end solution to learning, training and getting hired in digital marketing. We will train you and help you find paid work in marketing for no cost. You can join from anywhere in the world, 100% remotely. LEARN DIGITAL MARKETING Start with free courses to learn the basics of digital marketing. When you have the basics down, complete small tasks ranging from 1-5 hours for businesses and start building your marketing portfolio. Businesses will give you direct feedback on your marketing tasks to help you get better. GET WORK EXPERIENCE When you are ready you can start an apprenticeship working directly with a mentor (business owner). An apprenticeship is 10 hours a week for 3 months and 100% remote. Apprenticeships enable you to build real work experience, confidence and a network. GET CERTIFIED IN MARKETING Upon completing an apprenticeship you earn a marketing certification and a letter of reference from your mentor. 55% of apprenticeships lead to a hiring relationship. GET PAID WORK If you are totally new to marketing complete 4 apprenticeships to become a freelancer in Acadium and we will help you find freelancing clients. If you already have experience you can apply directly for freelancing clients. Whether you are totally new, experienced or somewhere in between you can use Acadium to launch a career in digital marketing for free. Get started now!

下载量预测

专业 · 预览

预估总下载量

58K39K112K
保守估计乐观估计

356

低 / 月

527

预估 / 月

1K

高 / 月

基于783 条评分
假设评分率1.4%
应用年龄110 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。