LEARN DATA SCIENCE ONLINE:

DEVELOP YOUR ANALYTICAL SKILLS THROUGH INTERACTIONS WITH OUR INSTRUCTORS

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2 June 2020

Class Starts

3 Months

Course Duration

2 Schedule

Afternoon & Evening Class

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Courses

A fun, hands-on, and project-based specialization that helps students gain full proficiency in data visualization systems and tools. Create compelling narratives by combining charting elements with custom aesthetics under the guidance of our instructors.

The learn-by-building module in all the workshops follows our project-based learning philosophy to this specialization. The course capstone requires that the student build a real-world application under stringent criteria modeled after real business scenarios. Courses in this specialization:

Programming for data science
Practical statistics
Data visualization in R
Interactive plotting & web dashboards
Capstone project

Duration & Time

1 months for 4-5 days a week.

Class options:

Afternoon class: 13:00 – 16:00
Evening class: 18:30 – 21:30

Next Cohort Starts

Cohort 11 (Kappa) — 2 June 2020

Program Application Deadline

1 June 2020

Courses

An intensive specialization that strives for a fine balance between practical applications and mathematical rigor in teaching essential machine learning concepts. By taking a learn-by-building approach, you will learn to develop regression and classification algorithms and incorporate them into real-life solutions or data products/business applications.

The modules in all the workshops follow our project-based learning philosophy to this specialization. The course capstone requires that the student build a real-world application under stringent criteria modeled after real business scenarios. Courses in this specialization:

Duration & Time

1 months for 4-5 days a week.

Class options:

Afternoon class: 13:00 – 16:00
Evening class: 18:30 – 21:30

Next Cohort Starts

Cohort 11 (Kappa) —2 June 2020

Program Application Deadline

1 June 2020

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Certified Instructors

Our instructors in Algoritma are RStudio’s Education official Partners and the first in Asia to be certified.

Interactive Learning

One Instructor and two Teaching Assistants will help with any technical difficulties (real-time) encountered by participants.

Mentoring support

Participants are encouraged to schedule a weekly private session with our mentors.

Capstone Project

ALUMNI STORIES

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Program Receivables:

Cutting Edge Curriculum
The only Data Science bootcamp that with curriculum drawn from engagement with corporate training and industry participation. Course Books (PDF & HTML files), dataset for practice, reference notes, and working files (R Notebook or Jupyter Notebook) are accessible through our Learning Management System account.
Project Oriented Learning
Work with real life cases and learn under the assistance of mentorship of our qualified instructors throughout the 3-month course. Create a personal portfolio with projects to showcase your skills and knowledge on stage during our Data Career Day.
Certification of Completion
Show current and prospective employers that you’ve completed the course with a signed certificate of completion.
Quality Learning
We pay meticulous attention to the logistical details of our online-interactive learning: stable internet connection from multiple host, quality audio, visual setups, and small group size.

A Structured Approach to Learning Data Science

The Data Science Academy is a bundle of courses that is curated to accelerate a student’s mastery in building data products, develop machine learning models, and understand the core components that form the most of industrial-grade AI today.

Students are not assumed to have a working knowledge of R / Python / SQL or prior proficiency in statistics / mathematics / algebra. At such the workshop follows a gentle learning curve and emphasize on hands-on, one-to-one tutoring from our team of instructors and teaching assistants.

Throughout the course of the Academy, you will learn to build, evaluate and deploy your data science products, one project after another.

Frequently Asked Questions

Is this program open to person with non IT background?

Yes! This program is open for those who does not have technical background previously. You will be taught the basics such as programming fundamentals and practical statistics; enabling this program to be opened to whoever who does not have techical background.

What platform will be utilized for this online data science academy?

You will use Zoom and Google Classroom throughout the learning period.

What is the output I can expect to receive out of this program?

The training program from the Data Science Academy is address to those who are beginners up to intermediate level. The output of this program is to ensure that graduates have the right skills to:

Collect, clean, process and analyze data, visualize data, and create interactive dashboard.
Create machine learning algorithm that can predict, forecast, and provide decision making recommendations based on the data that is available.

What is the time commitment?

During our 10-week bootcamp, students must be able to commit to 4 days per week (Monday – Thursday) at 13:00-16:00 or 18:30-21:30 during the week and should expect to spend some time outside of the learning hours and over weekends to complete project work. As with any instruction, students will get as much out of the program as they put into it.

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