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Outsource Global 2022 Free Software and Data Analytics Training

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:

  • 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.


Outsource Global Academy Free Software and Data Analytics Training

Application DeadlineNot Specified
Country to studyNigeria
TypeTraining
SponsorOutsource Global Technologies
GenderMen and Women
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Benefits of Outsource Global Academy Free Software and Data Analytics Training

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.

Hiring Partnerships
Outsource Global Academy graduates have preferential access to exciting job prospects from our network of local and global partners.

Requirements for Outsource Global Academy Free Software and Data Analytics Training

Fullstack Program Curriculum: 

PRE – SEASON: 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.

  • Languages: Javascript HTML/CSS

SEASON ONE ARC 1: 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.

  • Languages: C

SEASON TWO – FULL STACK: 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.

  • Track tech stack: Ruby, Ruby on Rails, Node.js, Javascript, HTML, CSS, Nginx, PostgreSQL, SQLite PhP, jQuery, REST APIs

SEASON THREE – FULL STACK: Specialize in one of 4 areas: front-end development, back-end databases, cloud deployment, or Java for some of our employer partners.

  • Track tech stack: Ruby, React.JS, Java, AWS/GCP/Azure

 

SEASON TIPP: 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.

  • Ruby, Python, Java, Javascript

Data Science/Engineering Program Curriculum:

PRE – SEASON: 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.

  • Languages: Python

SEASON ONE ARC 1: 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.

  • Languages: C

SEASON TWO – DATA SCIENCE: 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

  • Track tech stack: Python Pytorch Jupyter

SEASON THREE – DATA SCIENCE: 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.

  • Track tech stack: Python, Panda, Tensor Flow, Keras, Jupyter

SEASON TIPP: 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.

  • Track tech stack: Python, Panda, Tensor Flow, Keras, Jupyter

 

Application Deadline

Not Specified

How to Apply

Interested and qualified? Go to Outsource Global Technologies on docs.google.com to apply

For more details, click here


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Be among the first to know whenever new Outsource Global scholarship is going on. Enter your email address and click the Subscribe button ↓
Like our website? Follow us on Facebook