01
Fresh graduates who like numbers
You enjoy math or statistics and want a job working with data.
p-02
Data Science
Turn raw data into answers people can use.
Data science is the skill of finding useful answers in data. You learn to clean data, test ideas with numbers and build models that predict. You finish able to answer a business question and explain your answer.
program sheet
- You become
- Data scientist, data analyst
- Duration
- 1 to 6 months, depending on the program.
- Format
- Online and classroom
- You need first
- Basic programming and an interest in numbers
- Start dates
- New batches through the year
- Job support
- 100% job enablement program
Overview
Who this program is for.
This program fits three kinds of learner. If you are not one of them, the list below shows a better place to start.
02
Analysts who want to grow
You make reports today. You want to explain why things happen and what to do next.
03
Professionals who use data every day
You work in finance, operations, marketing or product, and want to decide with data.
Start somewhere else if
You want to build apps with AI.
See AI EngineeringYou want to learn how AI models work inside.
See AI and Machine LearningYou manage people and do not need to code.
See Programs for managersBy the end, you can
- Clean a messy dataset and keep a record of every change.
- Design a fair test to check whether an idea works.
- Tell a real result from a chance result.
- Build a model that predicts, and explain how far to trust it.
- Write a one-page report that helps a manager decide.
- Move data automatically from where it is stored to where it is used.
Skills covered
- Data
- SQL (the language of databases), cleaning data and data flows.
- Statistics
- Probability, estimates and fair tests.
- Models
- Prediction models, and how to check and explain them.
- Communication
- Honest charts and a clear one-page report.
Tools and technologies
SampleReal-time projects
Projects you build yourself.
You build real-time projects: complete projects, made the way they are made at work. A working engineer checks each one.
Sample projectp-02
A fair test and its result
- Problem
- Two teams disagree about whether a change worked.
- Tools
- A test design, statistics, a notebook that becomes a one-page report
- Skills
- Cleaning data, testing an idea, writing a clear answer
- What you build
- A one-page report with the numbers behind it
- Result
- A decision people can act on
checked on: a sound method and a clear answer
Sample projectp-02
A forecast and how far to trust it
- Problem
- A team wants a forecast and nobody knows how far to trust it.
- Tools
- A simple first version, a better model, a check on data the model has not seen
- Skills
- Building models, checking them, explaining errors
- What you build
- A model, a simple version to compare it with, and a short written answer
- Result
- A forecast with its limits stated
checked on: sound checks, plain writing
Labs
Labs are where you practice and build each week.
How we teachSampleSample
Sample: proposed training details for review. Resources and completion rules are not confirmed yet.
- Environment
- Python notebooks and a practice SQL database for cleaning and analyzing data.
- Data
- Public or synthetic business datasets, with missing values and changes to document.
- Compute
- Laptop-sized datasets first. Larger tasks may use cloud computing; access is not confirmed.
- Tools
- Python, SQL, pandas, scikit-learn, Jupyter and Git.
Mentors and support
Working engineers guide you.
Your mentors teach, check your work every week and help when you are stuck. After you join a job, technical support continues: a mentor keeps guiding you.
Mentors and technical supportJobs and certificates
The job you train for.
This program prepares you for jobs such as data scientist and data analyst: people who use data to help a company decide. If you later want to build AI apps, AI Engineering is the next step.
- 01
Data scientist
Finds answers in data and helps the business decide.
- 02
Machine learning engineer
Trains AI models and tests how good they are.
- 03
AI engineer
Builds apps that use AI models and keeps them running.
- 04
Forward deployed engineer
Makes an AI product work inside a customer's company.
100% job enablement program
- Resume help
- We help you write a resume that shows your skills and your projects.
- Mock interviews
- You practice interview questions and get feedback before the real interview.
- Referrals to hiring companies
- We refer you to companies that are hiring for your role.
Certificates
You receive a Ticker Academy certificate when you complete a program.
Sample
Proposed completion checks: finish the required labs, show a working final project, fix review feedback and explain your work.
A question first?
Ask before you apply.
Write to us about this program. We reply by email and call only if you ask us to.
How to apply
Apply for Data Science.
About this program
A little. You should know basic Python, or be ready to learn it in the first weeks.
It goes further. Analytics reports what happened. Data science tests why it happened and what is likely to happen next.
It covers the part every analysis needs: moving data from where it is stored to where it is used, reliably.
New batches start through the year. Apply and we send you the next start date for this program.
- Start dates
- New batches start through the year. You get the next date when you apply.
- Format
- Online and classroom
- Duration
- 1 to 6 months, depending on the program.
- Program details
- We send you the full program details when you apply.
Three short steps. We reply by email and call only if you ask us to.