Role

Data Scientist

Uses statistics and machine learning to answer questions and predict outcomes.

11 chaptersAbout 2–4 months15–30 min a day14 skills1 projects
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Chapter 1 is free. No card needed.

Day 1 on the Data Scientist path.

What a Data Scientist does

Turns messy data into clear insights and predictions that help teams make better decisions and improve results.

  • Define the question and success metrics with partners
  • Collect, clean, and join data from multiple sources
  • Explore data to find patterns, outliers, and drivers
  • Build and test predictive models for real problems
  • Evaluate models with the right metrics and error checks
  • Explain results with simple visuals and clear stories
  • Deploy models or analyses so others can use them
  • Monitor performance and update models as data changes

A day in the life

  1. Check dashboards, model alerts, and new data issues
  2. Meet with a partner to clarify goals and constraints
  3. Analyze data and prototype a model in Python or SQL
  4. Review results with teammates and plan next experiments
  5. Write up findings and share a short update or demo

Tools you will use

Programming: Python, RNotebooks: JupyterData analysis: pandas, NumPyMachine learning: scikit-learnDatabases: SQLVisualization: Tableau, Power BIVersion control: GitCloud platforms: AWS, Azure, Google Cloud

Your plan

Chapter by chapter.

1~1 wk

See data scientist work up close

StartFree
21–2 wks

Data prep and wrangling

Skills
31–2 wks

A/B test analysis: simulated experiment to decision memo

Proof
41–2 wks

Model and test your ideas

Skills
51–2 wks

Coding and platforms

Skills
61–2 wks

Analytical thinking

Skills
7~1 wk

Meet working data scientists

People
81–2 wks

Communicating findings

Skills
91–2 wks

Choose your data scientist route

Decide
101–2 wks

Prepare for data scientist interviews

Interview
11on your timeline

Apply for data scientist roles

Apply

By the last chapter

This is what you can show.

Things you've made

A/B test analysis: simulated experiment to decision memo

Skills you can prove

14 skills, each rated on work you actually did.

People you've talked to

4 people who do the job, with a message ready for each.

Questions you can answer

20 interview questions and a mock interview, with feedback.

Credentials

7 credentials compared, so you can pick one, or decide you don't need one. None is required.

Ways in

There is more than one route.

Ways to study

  • Bachelors degree in data science, computer science, statistics, math, or engineering
  • Masters degree focused on data science, analytics, or machine learning
  • Online certificates or bootcamps in data science with strong project work
  • Research projects or lab work that uses real datasets and statistics

How people get their first job

  • Build a portfolio with 2 to 4 end to end projects on real datasets
  • Apply for internships in analytics, data science, or machine learning
  • Start in a data analyst role and add modeling projects over time
  • Contribute to open source or competitions to practice modeling and reporting
  • Earn a practical certificate in SQL, Python, or machine learning basics

Life skills on this path: Networking · Job interviews · Job search

How the work is changing

What AI is doing to this role

How AI is changing this role · one of 6 tasks we track

Collect and clean raw datasets

Sped up a lot

What AI does

pandas-AI and data wrangler tools cut cleaning time by a factor of three.

Still yours

Spotting the data quality issue that breaks everything is still yours.

Reviewed September 2026

In the app · Premium

The rest is in the app

  • How AI affects the other 5 tasks
  • Whether this job is growing or shrinking
  • How hard the first job is to get
  • Similar roles that are easier to get into
  • Updated every month, with sources
See it in the app →

How we rate a job →

Already working

Already a Data Scientist?

Plan your move to Senior Data Scientist: 10 chapters that end with a strong case for your next review.

Grow in the role →

Other roles in Data & Analytics

Analytics EngineerBusiness Intelligence AnalystData AnalystData ArchitectData EngineerData Governance AnalystData Quality AnalystMachine Learning EngineerMarket Research AnalystOperations Research AnalystStatistician

Questions

Questions about this path

How long does it take to become a data scientist with Welica?

The path is 11 chapters, 2–4 months at 15 to 30 minutes a day. You can go faster or slower; the plan moves with you.

Do I need a degree?

Not always. Common routes are bachelors degree in data science, computer science, statistics, math, or engineering, masters degree focused on data science, analytics, or machine learning, online certificates or bootcamps in data science with strong project work, or research projects or lab work that uses real datasets and statistics.

What is free?

Chapter 1, See data scientist work up close, is free for good. Premium unlocks the rest of the path.

Start the Data Scientist path.

Chapter 1 free. About 15 to 30 minutes a day.

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