Business and domain analyticsβ Signature path Β· AI in pharma and healthcare
Pharma and Life-Sciences Data Analyst
Also called: Clinical Data Analyst, Pharmacovigilance Analyst, Biostatistics Associate
Works with trial, safety and manufacturing data in pharma and life sciences, with AI where the rules allow it.
- Skill Packs
- 12
- Class hours
- 164 (of 338, foundation optional)
- At 6 hours a week
- about 7 months
- Free certifications
- 14
- Library resources
- 76
- Interview questions
- 143
β All 143 lessons expert reviewed
Your route. Skip the foundation if you already use AI tools at work. Take the Leading with AI packs on the problems of your own organisation, and finish with the capstone AI plan that a mentor reviews with you.
Industry 5.0 Β· this path teaches 0 of 3 pillars
+ π€ Human-centred: add I50-HUM+ π± Sustainable: add I50-SUS+ π‘οΈ Resilient: add I50-RES
1. Foundation
6 packs Β· 174 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
Excel and spreadsheets for analysis DAT-01 Beginner
26 hours 11 lessons π 6 library resources β Expert reviewed β 10 interview questions
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2
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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3
Generative AI at work: Copilot, ChatGPT, AI agents and no-code automation WRK-01 Beginner
28 hours 17 lessons π 2 free certifications π 8 library resources β Expert reviewed β 8 interview questions
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4
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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5
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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6
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
2. Core skills
3 packs Β· 87 hours
The skills the job is made of.
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7
AI and data for pharmacy and life sciences PHM-01 Beginner
29 hours 9 lessons π 8 library resources β Expert reviewed β 6 interview questions
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8
Business intelligence with Power BI, Fabric and Tableau DAT-05 Beginner
26 hours 10 lessons π 1 free certification π 6 library resources β Expert reviewed β 10 interview questions
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9
Machine learning ML-01 Beginner
32 hours 14 lessons π 2 free certifications π 8 library resources β Expert reviewed β 15 interview questions
3. Specialise
1 pack Β· 27 hours
The depth that sets you apart in interviews.
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10
AI in pharma and life sciences IND-PHA Advanced
27 hours 9 lessons π 8 library resources β Expert reviewed β 6 interview questions
4. Prove it
2 packs Β· 50 hours
A capstone project, then portfolio, resume and interview practice.
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11
Capstone project CAP-01 Advanced
24 hours 9 lessons β Expert reviewed β 8 interview questions
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12
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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