CodeOp

Course Description:

Our Data Analytics course provides you with an industry-ready toolkit to build your Data Analytics career, while creating multiple portfolio pieces to showcase your new skill set.
Learn the fundamental concepts of Statistics
Access and create datasets from Relational Databases using SQL
Get hands-on training using libraries in Python: NumPy, Pandas, Matplotlib, Seaborn, and more
Collaborate on the development of projects using Git
Learn to utilise cloud services
Get exposed to processing alternative data formats including: time series and Geospatial data

Course Description:

Over the 6-month course, students will gain hands-on experience with the various stages of the data analysis pipeline from an industry perspective, specifically how to apply various technologies to ingest, model and visualize data insights. Students will work with relational data as well as more complex data types such as baskets of items, time series, graphs, and geospatial information. By the end of the course, students will have an industry-ready toolbox to support the common problems analytic teams face in business

Course Description:

Students will gain hands-on experience with the various stages of the data analysis pipeline from an industry perspective, specifically how to apply various technologies to ingest, model and visualize data insights. Students will work with relational data as well as more complex data types such as baskets of items, time series, graphs, and geospatial information. By the end of the course, students will have an industry-ready toolbox to support the common problems analytic teams face in business.

Subjects:
Data Analytics

Course Description:

Students will gain hands-on experience with the various stages of the data analysis pipeline from an industry perspective, specifically how to apply various technologies to ingest, model and visualize data insights. Students will work with relational data as well as more complex data types such as baskets of items, time series, graphs, and geospatial information. By the end of the course, students will have an industry-ready toolbox to support the common problems analytic teams face in business. This program is available part-time.

Subjects:
Data Analytics

Course Description:

CodeOp's full stack development bootcamp is built to prepare students for careers in the technology industry as entry-level software developers. Students begin the program focused on programming fundamentals, advanced JavaScript, data structures, and algorithms. They learn to develop complete applications using the latest technologies including: Vue, React.js, Node.js, Express, MySQL, Git, Scrum and Heroku. The final weeks focus on developing full-stack applications from scratch and career preparation activities.

Students should expect to have gained knowledge of programming fundamentals, advanced JavaScript, data structures, algorithms, how to build full stack applications from scratch using the latest technologies, and what to expect in the job search. They can also expect to have a digital portfolio including 3 showcase projects.

Throughout the bootcamp students have access to meetings with an on-staff career coach. The last week of the course is 100% dedicated to preparing students for the technical interview as well as addressing issues commonly faced by women who work in tech. Specifically:

- Impostor Syndrome
- Business Improvisation
- Negotiating Effectively: Equity and Salary
- Personal Branding

And we provide practical training in:
- Job Search Strategy
- Networking
- Technical Interviewing
- Whiteboarding (virtual and in-person)

Subjects:
Git, MySQL, Heroku, Scrum, Vue.js, React.js, Node.js, Express.js, JavaScript, Data Structures

Course Description:

CodeOp's full stack development bootcamp is built to prepare students for careers in the technology industry as entry-level software developers. Students begin the program focused on programming fundamentals, advanced JavaScript, data structures, and algorithms. They learn to develop complete applications using the latest technologies including: Vue, React.js, Node.js, Express, MySQL, Git, Scrum and Heroku. The final weeks focus on developing full-stack applications from scratch and career preparation activities.

Students should expect to have gained knowledge of programming fundamentals, advanced JavaScript, data structures, algorithms, how to build full stack applications from scratch using the latest technologies, and what to expect in the job search. They can also expect to have a digital portfolio including 3 showcase projects.

Throughout the bootcamp students have access to meetings with an on-staff career coach. The last week of the course is 100% dedicated to preparing students for the technical interview as well as addressing issues commonly faced by women who work in tech. Specifically:

- Impostor Syndrome
- Business Improvisation
- Negotiating Effectively: Equity and Salary
- Personal Branding

And we provide practical training in:
- Job Search Strategy
- Networking
- Technical Interviewing
- Whiteboarding (virtual and in-person)

Subjects:
Git, MySQL, Heroku, Scrum, Vue.js, React.js, Node.js, Express.js, JavaScript, Data Structures

Course Description:

CodeOp’s part-time Full Stack Development bootcamp prepares students for careers as entry-level software developers. In the early weeks of the course, students learn programming fundamentals, data structures, algorithms, and advanced JavaScript. Students then develop complete applications using the latest technologies, some of which include Vue, React.js, Node.js, Express, MySQL, Git, Agile methodologies and Heroku. The final weeks have a dual focus, with students developing full-stack applications from scratch while also undergoing extensive career preparation.

Subjects:
Git, MySQL, Heroku, Agile, Vue.js, React.js, Node.js, Express.js