Data Scientist with Python Career Track
Beginner 88 hours English Career Track Certificate
What you'll learn
Write Python for data analysis using pandas and NumPy
Build interactive visualisations with matplotlib and seaborn
Query relational data with SQL from Python
Build and evaluate supervised ML models with scikit-learn
Engineer features and handle missing data
Communicate findings clearly with charts and reports
Pass real-world coding assessments to earn the track certificate
This course includes
88h
Interactive video
300+
In-browser exercises
25
Skill assessments
Yes
Track certificate
Comparison · LBS
Compare alternatives for Python
Same topic, different providers. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
DcDataCamp4.7(14,800)
Data Scientist with Python Career Track
- Price
- $29/mo$29/mo
- Duration
- 88 hrs
- Level
- Beginner
- Certificate
- Completion
CCoursera4.6(102K)
IBM Data Science Professional Certificate
- Price
- FREEAudit free · Cert $49/mo
- Duration
- 110 hrs
- Level
- Beginner
- Certificate
- Professional
CCoursera4.8(245K)
Python for Everybody Specialization
- Price
- FREEAudit free · Cert $49/mo
- Duration
- 23 hrs
- Level
- Beginner
- Certificate
- Professional
Prices and ratings refreshed daily. We're not affiliated with any single provider.
Syllabus· 6 courses · 23+ lessons
- Python basics
- Python lists
- Functions and packages
- NumPy
- Matplotlib basics
- Dictionaries and pandas
- Logic, control flow and filtering
- Loops and case study
- Transforming DataFrames
- Aggregating data
- Slicing and indexing
- Creating and visualising DataFrames
- Inner, left, right and outer joins
- SELECT, WHERE, GROUP BY
- Joining tables in SQL
- SQL from Python
- Summary statistics and distributions
- Hypothesis testing
- Sampling and bootstrap
- Classification and regression
- Fine-tuning models
- Clustering for dataset exploration
- Final case study and assessment
Instructor
HB
Hugo Bowne-Anderson
Lead instructor · former Head of Data Science Evangelism, DataCamp
650K learners12 courses 4.7 instructor rating
Hugo Bowne-Anderson is a data scientist, educator and podcast host (DataFramed). He led data-science evangelism at DataCamp and has taught hundreds of thousands of learners practical Python, statistics and machine learning.
Requirements
- A DataCamp subscription (about $29/mo annual)
- No prior Python or stats background
- A modern web browser — DataCamp runs in-browser
- 5–8 hours per week for 2–3 months
Who this course is for
- Beginners who learn best by doing rather than watching
- Career switchers who want interactive practice
- Analysts moving into Python
- Learners preparing for data-science interviews
About this provider
Dc
DataCamp
University-backed online learning platform · 142M learners · 7,000+ courses
4.6 trust score·Refund within 14 days
Frequently asked questions
DataCamp is interactive and hands-on with short bites; IBM is video-led and broader (including SQL, ML, and a capstone). DataCamp is faster; IBM gives you a stronger resume credential.
For active learners yes — at ~$29/mo unlimited, you can finish multiple tracks. If you only want one course, single-course platforms like Coursera audit may be cheaper.
It is recognised in data circles but is not as strong a signal as Coursera Pro Certs (IBM, Google). Pair with a public portfolio for best effect.
About 88 hours of content + assessments. Most learners finish in 8–12 weeks at 8 hours/week.
Audit the IBM Data Science Cert on Coursera or take Python for Everybody — both are free for content access. You lose the interactive in-browser practice that makes DataCamp special.