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DATA SCIENCE Specializations

Develop your specializations through our learn by building approach

We understand that you may have specific needs on what you want to learn. We give the flexibility for you to master the industrial-ready courses within the Academy that you want to specialize in. The available Data Science specializations are:

  • Data Analytics Specialization
  • Data Visualization Specialization
  • Machine Learning Specialization
LEARN MORE
Take your first step!


17 September 2024

Class Starts

3 Hours

Live Streaming / Day

3

Capstone Projects

CHOOSE YOUR PROGRAM

  1. Python for Data Analysts
  2. Exploratory Data Analysis
  3. Data Wrangling and Visualization
  4. SQL Query and Capstone Project 
  5. Introduction to Machine Learning I
  6. Introduction to Machine Learning II

1 month for 4-5 days a week.

  • Evening class: 18:30 – 21:30
  1. Programming for Data Science
  2. Practical Statistics
  3. Data Visualization in R
  4. Interactive Plotting & Web Dashboards
  5. Capstone Project

1 months for 4-5 days a week.

  • Evening class: 18:30 – 21:30
  1. Programming for Data Science
  2. Practical Statistics
  3. Regression Models
  4. Classification in Machine Learning I
  5. Classification in Machine Learning II
  6. Unsupervised Machine Learning
  7. Time Series & Forecasting
  8. Neural Network & Deep Learning
  9. Capstone Project

1 months for 4-5 days a week.

  • Evening class: 18:30 – 21:30

Courses in the Data Analytics Specialization:

Courses in the Data Visualization Specialization:

Courses in the Machine Learning Specialization:

Capstone Project

Examples of exciting projects you get to build!

Alumni Stories

See what our alumni say about the program!

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 courses. Create a personal portfolio with projects to showcase your skills and knowledge on stage during our Data Career Day.

  • In-Class Teaching Assistant

    We know that learning something new can be challenging. Our dedicated Teaching Assistants are there to ensure that we can troubleshoot your issues instantly while you are in class so that you can focus on your learning.

  • Mentoring Sessions

    Are you feeling left behind or need help with your homework or projects? You can join the weekly mentoring session to help you get unstuck.

  • Recap Sessions

    30 mins before the class start, we will deliver a session to help you remember and understand the materials from your previous academy session. Recap is an optional session and accounts for an extra 20 hours of your learning journey.

  • Certification of Completion

    Show current and prospective employers that you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.

A Structured Approach to Learning Data Science

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

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

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

Frequently Asked Questions

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.

Zoom, Google Classroom, Github. The platform used with the offline class is almost the same overall. The only difference is for Online Learning Media, we will be using Zoom.

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.

For our installment financing program, it is available for Online classes with 6 months to 24 months installment plan, through our Loan Partner. The Loan Partners will be introduced by our Education Consultants team for further information.

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.

During our class, aside from the fact that our instructors will help you with structured learning from the fundamentals, if you encounter a problem, you can ask the Teaching Assistants directly to clarify your understanding and find a solution to the problem. In addition, we also have learning supports that may help including:

  1. QnA Session with the Teaching Assistants that will be held 30 minutes before the class starts. During this session, you can review and ask questions about the previous material.
  2. Mentoring Session. For those of you who need extra help in understanding the materials that you don’t yet understand, you can request a mentoring schedule. Mentoring is a private session with the instructors or teaching assistants that can be requested every once a week.
  3. Email mentoring. If you’re studying outside class hours and experiencing an obstacle, you can ask questions directly to our team email for answers.

You may directly contact our Education Consultants team who will help in explaining our Academy in detail. You may directly communicate and choose which training courses you would like to enroll in and Register. Please take the first step by filling in your information on the available section. Our Education Consultants team will soon reach you out for further consultation.

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Get In Touch

PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma

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