Outsource Global Free Software and Data Analytics Training
Building A Network of Exceptional Talents Across the Globe
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Outsource Global Technologies is Africa’s leading global business services and business process outsourcing provider. We have created sustainable models for harnessing the youth under-employment challenge across Africa on a massive scale for impact-driven service delivery around the world.
As the workforce across the world changes, having the right skills opens doors and the promise of quality learning gives hope for an equipped workforce of the future. Who will train, educate and empower these future global issue solvers and game changers? We will.
At Outsource Global Academy, our mission is to groom a diverse community of talents, by providing training to thousands of individuals. We have developed a digitally driven, learning curriculum to open new vistas of employment, empowerment and enhance national productivity.
The following courses are offered:
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- Fullstack Development
- Data Science/Engineering
- Cloud Engineering
- AI/Machine Learning
Interactive, Flexible & Practical Curriculum
There has never been a better time to learn online. Courses are self-paced and optimized to equip you for the digital economy workforce.
High Standards and Skill-based Training
Outsource Global Academy framework for acquiring tech skills is in line with the standards set by Silicon Valley, much higher than that of bootcamps, and higher than that of CS degrees.
Outsource Global Academy graduates have preferential access to exciting job prospects from our network of local and global partners.
Fullstack Program Curriculum
|PRE – SEASON||SEASON ONE ARC 1||SEASON TWO – FULL STACK||SEASON THREE – FULL STACK||SEASON TIPP|
|Cover basic software engineering principles: variables, functions, loop statements, if statements, basic algorithms and data structures. Begin using an IDE and the terminal. This track is the equivalent of a coding bootcamp.||Cover fundamental computer programming concepts and learn the basics of C. Build a solid foundation in back-end programming including pointers, arrays, strings, algorithms, data structures, data types, and software architecture.||ILearners focus on back-end and front-end tools, languages and databases; they build 3 websites, rebuild a database; build a video game and multiple full stack applications from scratch, helping to develop their technical portfolio.||Specialize in one of 4 areas: front-end development, back-end databases, cloud deployment, or Java for some of our employer partners.||Learners join our Technical Interview Preparation Program. Learners do 20-40 technical interviews, submit their resume for review, and submit their LinkedIn profile for review. Interview worksheets and job application trackers are also part of the curriculum.|
Data Science/Engineering Program Curriculum
|PRE – SEASON||SEASON ONE ARC 1||SEASON TWO – DATA SCIENCE||SEASON THREE – DATA SCIENCE||SEASON TIPP|
|Cover basic software engineering principles: variables, functions, loop statements, if statements, basic algorithms and data structures. Begin using an IDE and the terminal. This track is the equivalent of a coding bootcamp.||Cover fundamental computer programming concepts and learn the basics of C. Build a solid foundation in back-end programming including pointers, arrays, strings, algorithms, data structures, data types, and software architecture.||Learners move on to Python and the fundamentals of machine learning, covering regressions, training sets, structured vs unstructured data, and data collection, display, and storage. Learners also cover some of the cloud-based tools available for ML.||After getting a handle on Python, learners advance deeper into machine learning, large/ complex data sets, business principles and the use of data to improve key business outcomes, and how data can be a strategic asset to a business. Learners complete multiple real-world, larger projects.||Learners complete a final program project that aligns with the industry in which they want to get a job. The project must be about 3 months in duration and of significant technical difficulty. Learners will also contribute to open source projects from Kaggle and simultaneously complete 40 technical interviews.|
|Languages: Python||Languages: C||Track tech stack: Python Pytorch Jupyter||Track tech stack: Python, Panda, Tensor Flow, Keras, Jupyter||Track tech stack: Python, Panda, Tensor Flow, Keras, Jupyter|