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upgrade your career in israel

Become a data analyst
in 7 months

With Practicum, a practice-oriented online bootcamp with a 2 years history in Israel
Start from scratch
Employment assistance
Online & flexible hours
Study in English — work worldwide
Real cases portfolio

Who is this course for?

You want to pivot into a different career
Pump up your resume by getting new skills
Simply try and see if you like it
You want to pivot into a different career
Pump up your resume by getting new skills
Simply try and see if you like it
Everyone, from small chains to giant corporations, collects data. Or at least they should. Every year the demand for data analysts is growing, because businesses needs them. And will need even more.
Why choose data analysis?

Let's take a look into your future

Prestigious position
Data Analyst
Business Analyst
Product Analyst
IT System Analyst
Data Analyst Consultant
Marketing Analyst
Interesting tasks
— Insert, update and delete data using SQL
— Create dashboards with Tableau and other tools
— Perform A/B tests for hypothesis testing
— Analyze key performance metrics
— Help companies make data-driven decisions
Skills relevant for today's job market
Python
Jupyter Notebook
SQL
PostgreSQL
Tableau
A/B tests
These average monthly salaries in Israel are taken from Ethosia. But you can do better.
High salary and clear prospects
₪ 10,000
Junior Data Analyst right after the course
₪ 13,000
Middle Data Analyst in a year
₪ 18,000
Senior Data Analyst in 2 years

This future is real with Practicum

We’ve trained more than 5000 high-tech specialists in the US, Europe, Latin America, and Middle East. With a 2 years experience in the Israeli market, we know how to help you find a job at one of the best tech companies in the country.
8 out of 10
Practicum graduates found
a new job in high-tech
78%
graduates found a job in high-tech in 6 cases out of 10
40+ years old
female graduates found a new job in high-tech without tech background

And our 3-step employment plan

We will not stop searching until you find a company that suits you. And will be there for you until you pass your probationary period because that is when our job is truly done.
Get your dream job and upgrade your career
Working with your personal career consultant you’ll learn about the high-tech jobs market, get useful tips on how to tell your story through your CV, and attend mock interviews with professional recruiters.
Prepare yourself for a career in the Israeli market
You will work on case studies for real companies and increase your online presence through your LinkedIn and GitHub portfolio filling it with professional projects that stand out to employers.
Build your portfolio to create a competitive resume

Your upgrade begins in a top-rated international bootcamp

We will not leave you alone with code, platform and bugs. You will be led through every stage of the course by trained industry professionals.

With a whole team to support you on the way

With over 3 years of experience at prominent tech companies. Their task is not to give you ready answers but to teach you how to resolve any issue yourself.
Tutors
Anastasia Piterskaia, Israel
Senior Data Analyst
“About myself: friendly data nerd who’s been passionate about numbers since age of 5. Teaching and learning from my students is my ikigai!”
Always ready to answer questions, remind you of deadlines, send links to videos and lectures, or simply listen and support.
Community managers
Code reviewers
Practicing data analysts check your code and projects, point out any errors, and provide feedback.
24/7 support
Support specialists help with all technical issues around the clock, in case you will be studying at night or in a different time zone.
Learning with us is not a peaceful retreat, but a hardcore restart. That’s why it works.

With a learning process designed to make you a professional

Students work in sprints lasting from 2 to 3 weeks. Each sprint includes a set of lessons and tasks on the platform, and a project. It's up to you to allocate your time during the sprint but you have to meet deadlines. Just like in a real work life!
Series of sharp sprints instead of exhausting marathon
Learn the topics illustrated by a lot of industry cases. Ask questions! We’re ready to help you find answers as many times as needed. That doesn’t mean you’re slow, that just means all this data analysis stuff is not that easy.
Theory based on real life examples
Try to do it yourself immediately after theoretical stage. Write code, get it wrong, receive quick feedback, and correct your mistakes. Repeat it twice and more. 400 of 560 hours of studying at Practicum is devoted to practice.
Practice in simulator and real projects
During the course you will deal with typical for a data analyst tasks from different business fields. You will solve them and add the best cases to your portfolio. Some of them may even be projects of real companies.
With a portfolio that speaks for itself
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>
Develop a machine learning model to predict the outflow of customers in a fitness center or language school.
Forecasts and predictions
How to tell a story using data
Conduct a market research based on open data on restaurants, bars and cafes in Tel-Aviv.
Making data-driven business decisions
Study the company's sales funnel and analyze the results of A/B testing.
Develop a machine learning model to predict the outflow of customers in a fitness center or language school.
Forecasts and predictions
How to tell a story using data
Conduct a market research based on open data on restaurants, bars and cafes in Tel-Aviv.
Making data-driven business decisions
Study the company’s sales funnel and analyze the results of A/B testing.
We always keep an eye on the market and adjust our program to fit the requirements of the best job postings worldwide.

This is your career upgrade program

We always keep an eye on the market and adjust our program to fit the requirements of the best job postings worldwide.

This is your career upgrade program

Basic Python — 2 weeks
Your introduction to the world of data science! Key concepts and basic syntax in Python. Loops, conditions, and functions. The pandas library for data analysis. Your first analytical case study, followed by your first project.
Data Preprocessing — 2 weeks
+1 project for your portfolio

Compensating for less-than-perfect data. Handling missing and duplicate values. Changing data types. Systems thinking for analysts.
Exploratory Data Analysis (EDA) — 2 weeks
+1 project for your portfolio

Performing initial scans to detect patterns in data. Building basic graphs and generating your first hypotheses.
Statistical Data Analysis — 2 weeks
+1 project for your portfolio

Probability theory, the most common distributions, and statistical methods in Python. Sampling and statistical significance. Identifying and handling anomalies.
Integrated Project 1 — 1 week
+1 project for your portfolio

Identify patterns to help you determine whether a given video game will be commercially successful or not.
Data Collection and Storage (SQL) — 2 weeks
+1 project for your portfolio

How databases are structured and how to pull data from them using SQL queries. Finding data online.
Business Analytics — 2 weeks
+1 project for your portfolio

Applying data analysis in business. Business metrics and KPIs. User data analysis. Marketing analytics and related tools. The sales funnel.
Making Business Decisions Based on Data — 2 weeks
+1 project for your portfolio

Methods and tools for testing hypotheses. Experimental design. Seasonality. Cohort analysis. A/B testing.
How to Tell a Story Using Data — 2 weeks
+1 project for your portfolio

Presenting your research. Data visualization methods. Creating reports to explain findings. The seaborn library.
Integrated Project 2 — 1 week
+1 project for your portfolio

Bring together everything you’ve learned so far to analyze the results of a food app’s A/B test.
Automation — 2 weeks
+1 project for your portfolio

Automating data analysis processes and scripting routine tasks. Data visualization methods. Presenting results.
Forecasts and Predictions — 2 weeks
+1 project for your portfolio

Machine learning methods and applications. Classification, forecasting, clustering. Regression. Decision trees.
Final Project — 2 weeks
+1 project for your portfolio

Apply everything you've learned in a two-week bootcamp that recreates the experience of working as a junior analyst.
Career Prep Course (Optional) — 5-12 weeks
If you want guidance on how to land your dream job after completing the main program, the Career Prep Course has all the information you need. You’ll cover key groundwork needed before you can start applying for jobs. This includes learning how to write resumes and cover letters, building an online presence on LinkedIn and GitHub, and growing your professional network. Once that’s done, you’ll focus on the different stages of the job application process, from job search strategies, to interviews, all the way to negotiating an offer.
Basic Python — 3 weeks
Your introduction to the world of data science! Key concepts and basic syntax in Python. Loops, conditions, and functions. The pandas library for data analysis. Your first analytical case study, followed by your first project.
Data Preprocessing — 3 weeks
+1 project for your portfolio

Compensating for less-than-perfect data. Handling missing and duplicate values. Changing data types. Systems thinking for analysts.
Exploratory Data Analysis (EDA) — 3 weeks
+1 project for your portfolio

Performing initial scans to detect patterns in data. Building basic graphs and generating your first hypotheses.
Statistical Data Analysis — 3 weeks
+1 project for your portfolio

Probability theory, the most common distributions, and statistical methods in Python. Sampling and statistical significance. Identifying and handling anomalies.
Integrated Project 1 — 1 week
+1 project for your portfolio

Identify patterns to help you determine whether a given video game will be commercially successful or not.
Data Collection and Storage (SQL) — 2 weeks
+1 project for your portfolio

How databases are structured and how to pull data from them using SQL queries. Finding data online.
Business Analytics — 2 weeks
+1 project for your portfolio

Applying data analysis in business. Business metrics and KPIs. User data analysis. Marketing analytics and related tools. The sales funnel.
Making Business Decisions Based on Data — 2 weeks
+1 project for your portfolio

Methods and tools for testing hypotheses. Experimental design. Seasonality. Cohort analysis. A/B testing.
How to Tell a Story Using Data — 2 weeks
+1 project for your portfolio

Presenting your research. Data visualization methods. Creating reports to explain findings. The seaborn library.
Integrated Project 2 — 1 week
+1 project for your portfolio

Bring together everything you’ve learned so far to analyze the results of a food app’s A/B test.
Automation — 2 weeks
+1 project for your portfolio

Automating data analysis processes and scripting routine tasks. Data visualization methods. Presenting results.
Forecasts and Predictions — 2 weeks
+1 project for your portfolio

Machine learning methods and applications. Classification, forecasting, clustering. Regression. Decision trees.
Final Project — 2 weeks
+1 project for your portfolio

Apply everything you've learned in a two-week bootcamp that recreates the experience of working as a junior analyst.

This is your career upgrade pack

Skills that employers need
Portfolio of at least 7 projects
7 months experience
New profession and diploma
Community of data analysts
Confidence you need to upgrade career
Price and payment options
To learn more about the Data Analyst program, go through our short onboarding course or join a free introductory webinar.
Course start date
October 19
In 7 instalments
₪ 2,872
Monthly
UP FRONT
₪ 18,990
To pay for the course and start studying now, click here

And this is why you are making the right decision

You will not waste your time on irrelevant knowledge. Practicum bootcamp was designed by practicing engineers with over 20 years of industry experience. We understand the needs of the tech market and use our knowledge to train the next generation of developers.
Strong expertise in technology
You will not study alone, occasionally communicating with mentors and managers. All these 9 months and long after you will be surrounded by other students, graduates and industry professionals from all around the world, ready to share their experience and vacant job offers.
Huge international high-tech community

Reviews from
the best decision makers

<
>
Dev Sharan Sams
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.
Idan Shafat
Data Analyst, graduate
Israel
Before Practicum, I knew I was interested in data fields but did not have any experience. The course gave me all the tools I needed to dive deeper into data worlds and gain experience in working with data. Today I am working as a Data Integration Engineer at Riskified and really am happy with the path I chose. The studies were great and the current role in the company I work at is amazing and super interesting for me.
Yochanan Perez
Data Analyst, graduate
Israel
I give 100% credit to Practicum for getting a job as a Data Analyst in Mobileye. I never would have believed that I could be working with such cutting-edge technology before my studies at Practicum. I gained the confidence necessary to get a job in a field that I truly admire.
Tsahhi Sharon
Data Analyst, graduate
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.
Lisa Polockaia
Data Analyst, graduate
Israel
I’m really happy that I participated in the DA course: I love the way how the study material is presented, its playful approach and human-language explanations. I got so much support from every member of the Practicum 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. I believe this course really influenced not just my life, but my personality as well.
Xia Cui
Data Analyst, graduate
Australia
I started learning data analytics by doing various small courses online and realized it was the career path I wanted to pursue. In my search for a comprehensive, intensive, yet practical learning environment to develop and consolidate my skills, I found Practicum.

I picked Practicum based on reviews, and I’m extremely glad with this decision. I enjoy every aspect of the course: the platform, the tasks, the design, the flow, the support. I can’t say enough good things about it and still can’t believe I get so much for what I paid. I’m halfway through and I still get excited about each new chapter and task. Practicum’s learning style suits me perfectly.

The tutors have been great and helpful. And what really impressed me is how prompt the platform online support is. Whenever I got stuck with a task, I sent an inquiry via the platform tech support, the response is almost immediate, despite the time differences. Wow. That’s impressive and super helpful!

As I said, I can’t say enough good things about the course. Any more will make me sound like a salesperson. Haha! Highly recommended!
Mabelly Tuchsznajder
Data Analyst, graduate
Canada
I’m a Marketing Data Analyst, and I found Practicum one of the best online programs for those, like myself, who want to give the next step in the Data Analysis field. The program has great content, challenging exercises, and real-world projects.

But Practicum’s major advantage is how its tutors, project reviewers, and community managers deal with students' questions. First, they are professionals with real-world experience in the field, and, second and most important, all explanations or articles recommended by them are straight to the point and accurate. That said, I recommend Practicum for anyone who wants to get into the Data Analysis field or brush up her/his skills.
Yanina Khitrova
Data Analyst, graduate
USA
For a long time I felt that I need a career change but I wasn’t sure where to go. I tried various courses on Coursera and Udemy but without much success. In the beginning of the Covid-19 pandemic, I saw a Practicum ad on Facebook and decided to try the Data Analyst program. In the beginning, I wasn’t even sure that I will be able to finish it because the whole topic was pretty new to me. But as I was doing it, I got more and more interested and involved in the program.

The main program starts with a lesson about mindset and it really helped me improve my attitude. The course is structured in just the right way to involve students and keep it interesting. All exercises and projects are pretty challenging so you can feel the growing confidence after completing it. All projects are get checked by industry professionals. They provide really valuable feedback. Sometimes you may need to correct and resubmit the project several times until it is done correctly and accepted by reviewer. During the program, I completed 12 projects and one additional project, so the portfolio is pretty impressing.

As a student, I felt constant support from the Practicum team: community managers, mentor, technical support and from fellow students. You can ask any question in the chat and get needed help pretty fast. Sometimes there could be some time lag because the team can be located in the other part of the world but technical support helps really fast anyway.

I also need to mention the career support program where students can get various help with resume writing and portfolio preparation, attend webinars with technical recruiters and career couches and much more. Thank you Practicum team for the opportunity to be part of the great community and opportunity to grow as a professional.
Jennifer Foskett
Data Analyst, graduate
USA
The Practicum curriculum really gave me a good overview of different experiences that a data analyst would have in a day-to-day routine. The portfolio of projects I was able to make was really helpful, and I found that really rewarding because I can actually show the work I put forth.
Daria Grishko
Data Analyst, graduate
Europe
Frankly, I was not sure I would enjoy learning on my own but Practicum’s structure has allowed me to finally grasp things I have seen in other courses and Youtube videos but never really understood. I think there are 4 reasons why: the focus on hands-on practice, the content, support, and deadlines.

As a student, you have to constantly test your knowledge through small tasks and after each module, do projects that look holistically at what was learned so far. The content is non-intimidating (love the cute illustrations!) and simple to understand. No fancy words! The focus is on helping grasp the concept.

There is a lot of support from Practicum’s tutors and community manager but also from other students. Somehow I feel like we are part of a group trying to achieve something together despite working individually, helping each other when needed and celebrating each other’s win.

Finally, having a plan of action is great. Practicum facilitates this through a mix of realistic soft and hard deadlines to help you stay on track. Now, I can’t see myself ever taking an in-person bootcamp as I remember how often things would go over my head and I didn’t have the space and time to grasp a concept before moving on.

FAQ

Can you learn a profession in 7 months?
We think so. It means spending an average of 20 hours a week studying: reading theory in the simulator, performing tasks, doing projects and talking with your tutor.
What do I need to join the course?
All you need to start with is the desire and ability to study for an average of 20 hours a week.
How and when will I be studying?
The course consists of three components: theory with reinforcement in the simulator; homework for independent practice; and working on code with a tutor. You can study in the simulator whenever it is convenient for you, while homework is tied to a 2-week cycle.
When does the course start?
The start date of the nearest group is October 19. 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!
Will I be able to get a job after the course?
It will not be easy, but we believe you will. The important thing for employers is that you know how to do projects rather than simply possessing a skill set. We will teach you how to apply theory in practice and expect you to make every effort to find a job after graduating: you will actively apply for vacancies, have interviews, demonstrate your projects and perform test assignments where required.
Great, but can you help me find a job?
Yes, we will help you. Students have the option to complete a course on finding a job. During this course the Practicum team helps future graduates to put together a portfolio, conducts training interviews followed by debriefing, and teaches you how to write covering letters.
What if my background isn't in tech?
Not a problem! While experience in programming, math, or data would definitely be helpful, our programs are doable even if you're starting from scratch. If you need extra help mastering Python or wrapping your head around some math, our team will be there. If you do have experience with tech, the learning curve will be gentler, but you'll still learn a lot. Many of our students are not first-time coders.
What if I can't keep up with the workload?
There will always be someone to help you — we offer 24/7 support. Along with technical assistance, emotional support is always available, too. You can contact staff or fellow students directly via Slack or ask your question on our around-the-clock platform.
Who are the tutors?
Practicum's tutors are all professional data analysts with extensive experience. They are all currently employed in the data industry, which ensures that their knowledge is up to date.
Our tutors provide guidance with weekly video sessions for your group and make themselves available to chat via Slack. Tutors can also help clear an obstacle on a project or create a strategy for a student's educational and professional development goals.
Are you self-paced?
Practicum's courses are a blend of self-paced and instructor-led. Our goal is to immerse our students in a real-life working environment. Just as you'll face deadlines working at a real company, we also have deadlines for our projects.
There are no mandatory scheduled classes. All the coding sessions and webinars are recorded and posted for students who weren't able to attend.
Will I get a refund if I leave during the program?
Yes. If you've already gone through part of the program, your refund will only cover the part you haven't completed.
Can you learn a profession in 7 months?
We think so. It means spending an average of 20 hours a week studying: reading theory in the simulator, performing tasks, doing projects and talking with your tutor.
What do I need to join the course?
All you need to start with is the desire and ability to study for an average of 20 hours a week.
How and when will I be studying?
The course consists of three components: theory with reinforcement in the simulator; homework for independent practice; and working on code with a tutor. You can study in the simulator whenever it is convenient for you, while homework is tied to a 2-week cycle.
When does the course start?
The start date of the nearest group is October 19. 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!
Will I be able to get a job after the course?
It will not be easy, but we believe you will. The important thing for employers is that you know how to do projects rather than simply possessing a skill set. We will teach you how to apply theory in practice and expect you to make every effort to find a job after graduating: you will actively apply for vacancies, have interviews, demonstrate your projects and perform test assignments where required.
Great, but can you help me find a job?
Yes, we will help you. Students have the option to complete a course on finding a job. During this course the Practicum team helps future graduates to put together a portfolio, conducts training interviews followed by debriefing, and teaches you how to write covering letters.
What if my background isn't in tech?
Not a problem! While experience in programming, math, or data would definitely be helpful, our programs are doable even if you're starting from scratch. If you need extra help mastering Python or wrapping your head around some math, our team will be there. If you do have experience with tech, the learning curve will be gentler, but you'll still learn a lot. Many of our students are not first-time coders.
What if I can't keep up with the workload?
There will always be someone to help you — we offer 24/7 support. Along with technical assistance, emotional support is always available, too. You can contact staff or fellow students directly via Slack or ask your question on our around-the-clock platform.
Who are the tutors?
Practicum's tutors are all professional data analysts with extensive experience. They are all currently employed in the data industry, which ensures that their knowledge is up to date.
Our tutors provide guidance with weekly video sessions for your group and make themselves available to chat via Slack. Tutors can also help clear an obstacle on a project or create a strategy for a student's educational and professional development goals.
Are you self-paced?
Practicum's courses are a blend of self-paced and instructor-led. Our goal is to immerse our students in a real-life working environment. Just as you'll face deadlines working at a real company, we also have deadlines for our projects.
There are no mandatory scheduled classes. All the coding sessions and webinars are recorded and posted for students who weren't able to attend.
Will I get a refund if I leave during the program?
Yes. If you've already gone through part of the program, your refund will only cover the part you haven't completed.