Machine learning and data science
Data Scientist
Also called: Junior Data Scientist, Applied Data Scientist, Data Science Associate
Finds answers in data: cleans it, builds statistical and machine-learning models and explains the results to decision makers.
- Skill Packs
- 16
- Class hours
- 267 (of 408, foundation optional)
- At 6 hours a week
- about 12 months
- Free certifications
- 24
- Library resources
- 110
- Interview questions
- 196
β All 178 lessons expert reviewed
Your route. Skip any foundation pack whose outcomes you already have at work. Start at the core skills, build the capstone on a problem from your own job, and add an industry pack for your sector.
Industry 5.0 Β· this path teaches 1 of 3 pillars
π€ Human-centred + π± Sustainable: add I50-SUS+ π‘οΈ Resilient: add I50-RES
1. Foundation
5 packs Β· 141 hours
The base every pack after it builds on. Skip a pack here if you already do this at work.
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1
Python programming FND-01 Beginner
37 hours 15 lessons π 4 free certifications π 8 library resources β Expert reviewed β 18 interview questions
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2
SQL and databases FND-03 Beginner
32 hours 13 lessons π 3 free certifications π 8 library resources β Expert reviewed β 16 interview questions
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3
Data wrangling with NumPy and pandas DAT-02 Beginner
27 hours 11 lessons π 1 free certification π 8 library resources β Expert reviewed β 11 interview questions
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4
Statistics and probability DAT-03 Beginner
24 hours 10 lessons π 8 library resources β Expert reviewed β 11 interview questions
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5
Mathematics for machine learning MTH-01 Beginner
21 hours 10 lessons π 8 library resources β Expert reviewed β 11 interview questions
2. Core skills
3 packs Β· 86 hours
The skills the job is made of.
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6
Machine learning ML-01 Beginner
32 hours 14 lessons π 2 free certifications π 8 library resources β Expert reviewed β 15 interview questions
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7
Data science: the full lifecycle DSC-01 Advanced
30 hours 10 lessons π 3 free certifications π 7 library resources β Expert reviewed β 6 interview questions
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8
Feature engineering, tuning and responsible machine learning ML-02 Advanced
24 hours 10 lessons π 2 free certifications π 8 library resources β Expert reviewed β 11 interview questions
3. Specialise
6 packs Β· 131 hours
The depth that sets you apart in interviews.
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9
Data visualisation, metrics and storytelling DAT-04 Beginner
18 hours 8 lessons π 2 free certifications π 7 library resources β Expert reviewed β 8 interview questions
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10
Time series and forecasting TS-01 Advanced
21 hours 9 lessons π 1 free certification π 8 library resources β Expert reviewed β 10 interview questions
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11
Deep learning DL-01 Advanced
29 hours 12 lessons π 2 free certifications π 8 library resources β Expert reviewed β 12 interview questions
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12
Natural language processing NLP-01 Advanced
24 hours 10 lessons π 8 library resources β Expert reviewed β 10 interview questions
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13
Generative AI foundations: how LLMs work and how to call them GEN-01 Beginner
18 hours 11 lessons π 2 free certifications π 8 library resources β Expert reviewed β 13 interview questions
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14
Prompt and context engineering with structured outputs GEN-02 Beginner
21 hours 11 lessons π 1 free certification π 8 library resources β Expert reviewed β 12 interview questions
4. Prove it
2 packs Β· 50 hours
A capstone project, then portfolio, resume and interview practice.
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15
Capstone project CAP-01 Advanced
24 hours 9 lessons β Expert reviewed β 8 interview questions
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16
Career readiness: portfolio, resume and interviews CAR-01 Beginner
26 hours 15 lessons π 1 free certification β Expert reviewed β 24 interview questions
Add your edge
Optional packs that make you the candidate for a particular sector or degree.
Your industry Β· Pick the sector you want to work in.
Sign up free to see the free certifications and interview preparation for this role
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