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7 months part-time online program
Upgrade your career and enter Tech as a Data Analyst
students worldwide
have graduated
have graduated
find a tech job after 6 month
6k
80%
* Based on our Alumni achievements
Python
Tableau
SQL
PostgreSQL
Jupyter Notebook
A/B tests
VSCode
Pandas
Dash
Median>>graduate salary:
₪10,000
Junior Data Analyst
₪13,000
₪18,000
Mid-level Data Analyst
Senior Data Analyst
4.8 out of 5 rating based on 330+ reviews
The overall impression is good. The materials are of high level, the platform is user-friendly, and the TripleTen team is always willing to help.
Tom Mizrahi
Data Analyst, graduate
Israel
Great program. Teachers are industry experts. Course material top notch. Job search and support is outstanding. Good mix of students from various walks of life. Overall super.
Dev Sharan Sams
Data Analyst, graduate
Israel
TripleTen's (former Practicum) learning program is excellent and challenging in a way that encourages continued learning. I am ready to recommend anyone who is interested in a professional change and transition to the high tech field or data studies to choose TripleTen.
Maor Ohayon
Data Analyst, Graduate
Israel
One of the best online courses with friendly staff and a good knowledge base. Your opportunity to become a master of coding! Try hard, do your best to make real your future carrier goal!
Anton Filatov
Web Developer, student
Israel
I must say that the learning journey was amazing, I think that the most valuable thing I learned is how to approach data. It doesn’t matter if it’s using Python or SQL — you need to know what to look for, what is interesting and how to make impact.
Tsahhi Sharon
Data Analyst, graduate
Israel
I never would have believed that I could be working with such cutting-edge technology before my studies at TripleTen. I gained the confidence necessary to get a job in a field that I truly admire.
Yochanan Perez
Data Analyst, graduate
Israel
It was great bootcamp, I am not the same person for sure, not just the skills that I gained from the bootcamp but also my personality: learning new things build up my confidence and in some way I am not afraid to be myself in hard situations and getting out from my comfort zone… I highly recommend joining TripleTen.
Alar Saad
Data Analyst, graduate
Israel
The program suited me very well. The opportunity to maintain a flexible schedule while studying and running a life is priceless. The support is present everywhere - Slack, the platform, the TripleTen team - all here for us students.
Nahar Shertz
Web Developer, graduate
Israel
I got so much support from every member of the TripleTen team I’ve talked to, and also learned new ways to learn! Now it’s my second week as a data analyst in Placer. ai and I see the relevancy of what l learned.
Lisa Polockaia
Data Analyst, graduate
Israel
The studies were great and the current role in the company I work at is amazing and super interesting for me
Idan Shafat
Data Analyst, graduate
Israel
Thanks to TripleTen I’ve found new friends with similar interests and mindset, who have now become an invaluable asset in supporting my motivation and inspiration to perform better
Mila Lunacharska
Data Analyst, graduate
Israel
Joining the program been one of the best decisions I’ve made in my entire life so far!!!
Chen Abudi
Web Development, graduate
Israel
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How TripleTen coding bootcamp works
7
15-20
Months
Hours per week
Discover your custom course fee and select a payment plan that suits you on the welcome webinar
Monthly
₪ 3,290
Pay in 7 monthly installments.
Spread payments up to 24 months.
Via your credit company.
Surprisingly affordable
Upfront
₪ 20,990
Save 10% by paying upfront (compared to the monthly plan).
Flexible credit plan
Program structure
Program structure
Program
Fundamentals of Business Analytics
5 weeks
Data Visualization and Storytelling
4 weeks
Python Fundamentals
4 weeks
Data Analysis with Python
6 weeks
Intro to Data Science
4 weeks
Building an impactful analysis starts with understanding how to use SQL Databases to access and filter data. This module will explore industry best practices for choosing and calculating the right metrics and how to efficiently execute an analysis using spreadsheets.
Module 1:
Fundamentals of Business Analytics
Applying Analytics for the Final Project
2 weeks
Sprint 1: Advanced Spreadsheets
Fundamentals of Business Analytics
Data Visualization and Storytelling
Python Fundamentals
Data Analysis with Python
Intro to Data Science
Applying Analytics for the Final Project
An analysis is only effective when you can clearly communicate it to your stakeholders. This module will focus both on how to build interactive data visualizations in Tableau and the best practices in developing persuasive stories for your presentations.
Module 2: Data Visualization and Storytelling
Sprint 3: Data Visualization with Tableau
Sprint 4: Storytelling with Data
Program
Fundamentals of Business Analytics
5 weeks
Data Visualization and Storytelling
4 weeks
Python Fundamentals
4 weeks
Data Analysis with Python
6 weeks
Intro to Data Science
4 weeks
Applying Analytics for the Final Project
2 weeks
Fundamentals of Business Analytics
Data Visualization and Storytelling
Python Fundamentals
Data Analysis with Python
Intro to Data Science
Applying Analytics for the Final Project
Data analysis continues to become more sophisticated and some of the most advanced and powerful techniques utilize the Python programming language. This module is focused on building a solid foundation in Python and important software development tools used with Python.
Module 3: Python Fundamentals
Sprint 5: Python Fundamentals
Sprint 6: Software Development Tools
Program
Fundamentals of Business Analytics
5 weeks
Data Visualization and Storytelling
4 weeks
Python Fundamentals
4 weeks
Data Analysis with Python
6 weeks
Intro to Data Science
4 weeks
Applying Analytics for the Final Project
2 weeks
Fundamentals of Business Analytics
Data Visualization and Storytelling
Python Fundamentals
Data Analysis with Python
Intro to Data Science
Applying Analytics for the Final Project
Learn to use powerful Python libraries for data analysis like Pandas for cleaning data and Matplotlib for visualizing data. Apply python to execute A/B tests and build dashboards for reporting.
Module 4: Data Analysis with Python
Sprint 7: Exploring and Cleaning Data with Pandas
Program
Fundamentals of Business Analytics
5 weeks
Data Visualization and Storytelling
4 weeks
Python Fundamentals
4 weeks
Data Analysis with Python
6 weeks
Intro to Data Science
4 weeks
Applying Analytics for the Final Project
2 weeks
Sprint 8: Data Visualization with Python
Sprint 9: Business Analytics
Fundamentals of Business Analytics
Data Visualization and Storytelling
Python Fundamentals
Data Analysis with Python
Intro to Data Science
Applying Analytics for the Final Project
Learn how to apply Machine Learning (ML) algorithms to building predictive models. Using the scikit-learn Python library, you’ll learn how to train a ML model, measure it’s performance and implement the algorithm.
Module 5: Intro to Data Science
Sprint 10: A/B Testing
Program
Fundamentals of Business Analytics
5 weeks
Data Visualization and Storytelling
4 weeks
Python Fundamentals
4 weeks
Data Analysis with Python
6 weeks
Intro to Data Science
4 weeks
Applying Analytics for the Final Project
2 weeks
Sprint 11: Intro to Machine Learning
Fundamentals of Business Analytics
Data Visualization and Storytelling
Python Fundamentals
Data Analysis with Python
Intro to Data Science
Applying Analytics for the Final Project
After building a comprehensive set of skills in you data analytics toolkit, it’s time to combine different techniques together to accomplish larger projects. This module will focus on choosing the right combination of tools to accomplish a job. The final step in this course is a Final Project where students can demonstrate their mastery of data analytics.
Module 6: Applying Analytics
for the Final Project
Program
Fundamentals of Business Analytics
5 weeks
Data Visualization and Storytelling
4 weeks
Python Fundamentals
4 weeks
Data Analysis with Python
6 weeks
Intro to Data Science
4 weeks
Applying Analytics for the Final Project
2 weeks
Fundamentals of Business Analytics
Data Visualization and Storytelling
Python Fundamentals
Data Analysis with Python
Intro to Data Science
Applying Analytics for the Final Project
+
Alumni
community
+
Career Prep Course
+
Career Accelerator
Space for peer to peer support and productive professional networking.
This additional free-of-charge course prepares graduates for job search. It consists of lessons, assignments and feedback by HR-specialists.
A community-based activity, where graduates actively look for a job and constantly improve through feedback loop arranged by our HR-specialists.
FAQ
We think so. It means spending an average of 15-20 hours a week studying: reading theory, performing tasks, solving real work cases, and meeting with your tutor.
All you need is the desire to upgrade your career, computer or laptop with Internet access, and ability to study 15-20 hours a week.
You can devote a couple of hours to study after work and half a day on weekends. All in all, it usually takes our students no more than 15-20 hours a week to successfully finish the course in 7 months. Most of them manage to combine their studies with their current work.
The start date of the next group is August 27. However, sometimes we can postpone the start of the course in order to provide you with the best possible learning experience. No worries, we’ll let you know if this happens!
The course consists of 3 components: theory in text format with reinforcement in the simulator, working on your projects, and meeting with your tutor via Zoom. You can study on the platform whenever it is convenient for you, but working on a project has a deadline. Online meetings with your tutor are not obligatory — if you can’t join, you can watch it on the record.
Sure! You have an option to complete a career preparation program right after the main course. During this program you will put together your portfolio, prepare for job interviews, write covering letters, and get ready to enter the high-tech market. Our career consultants and support team will be there for you until you get a job offer — and even after that, until you pass your probationary period.
That's fine. First of all, our programs are beginner-friendly. Plus, you won't be alone. Our team will be there to guide you through the process, help you set professional goals, and succeed.
TripleTen's tutors are professional Data Analysts with extensive experience in high-tech and up-to-date knowledge. They provide guidance with the group Zoom sessions and are available for questions via Slack.
TripleTen's courses are a blend of self-paced and instructor-led. Our goal is to immerse you in a real-life working environment, not a university one — that’s why there are no mandatory scheduled classes and exams. But just as you'll face deadlines working at a real company, we also have deadlines for our projects.
Yes. But note that if you've already gone through part of the program, your refund will only cover the part you haven't completed.