What is included in the Data Science self-paced course?

Lifetime access to the HD video library, 500+ practice questions with detailed explanations, downloadable study resources, mentor support over email and chat, and a Learners Ink certificate of completion.

How long do I have access to the Data Science e-learning content?

You get 12 months of full access from the day you enrol, with the option to extend if you need additional preparation time.

Is the e-learning program aligned with the current Learners Ink exam?

Yes. All content is mapped to the latest Industry-aligned, capstone-based curriculum and updated whenever the certification body releases an update.

Will I receive a certificate after completing the e-learning course?

Yes. After completing all modules and the final practice assessment, you receive a verifiable Learners Ink certificate of completion which counts as evidence of training hours where applicable.

Can I switch to a live online or classroom cohort later?

Absolutely. Your e-learning fee is fully transferable to any upcoming live online or classroom cohort. Speak to your learning advisor for the upgrade.

Do you offer refunds if the Data Science self-paced course does not work for me?

Yes. We offer a 7-day no-questions-asked refund window from the date of enrolment, in line with our published refund policy.

Self-Paced E-Learning

Data Science with Python Certification Training - Self-Paced E-Learning Course

Learn Data Science at your own pace with HD video lectures, 500+ practice questions, downloadable cheat sheets and mentor support, fully aligned with Industry-aligned, capstone-based.

Buy Now - $199

60 Contact Hours Industry-aligned, capstone-based 500+ practice questions

Officially accredited by

What's Inside the Data Science E-Learning Program

Self-Paced HD Video Library

On-demand access to full curriculum recordings, organised module by module.

Practice Tests with Explanations

Hundreds of exam-style questions with detailed rationales for every answer.

Downloadable Study Resources

PDF formula sheets, mind maps, glossaries and process charts to revise offline.

Mobile + Desktop Access

Learn on iOS, Android, tablet or laptop. Pick up exactly where you left off.

Mentor Support on Demand

Email and chat support from certified instructors for doubt resolution.

Certificate of Completion

Earn a verifiable Learners Ink certificate to attach to your application.

Data Science Self-Paced Curriculum

Modular content mapped to Industry-aligned, capstone-based. Watch on any device, revisit any chapter, anytime.

Module 1

Module 1: Python and Data Wrangling Foundations

Python 3.11 essentials
Functions, comprehensions, OOP basics
Virtual environments and uv/pip
Jupyter and VS Code workflows
ndarray, broadcasting, vectorised ops
Linear algebra basics

Module 2

Module 2: Statistics, Probability and Experimentation

Central tendency, dispersion, shape
Sampling and the Central Limit Theorem
Confidence intervals
Statistical power
Discrete and continuous distributions
Normal, Binomial, Poisson, Exponential

Module 3

Module 3: Supervised Machine Learning

Linear, Ridge, Lasso, ElasticNet
Assumptions and diagnostics
Polynomial features
Regression evaluation
Logistic Regression
k-NN and Naive Bayes

Module 4

Module 4: Unsupervised Learning, NLP and Time Series

K-Means and elbow method
DBSCAN and density-based clustering
Hierarchical clustering
Evaluation metrics
PCA and explained variance
t-SNE and UMAP

Module 5

Module 5: Deep Learning, GenAI and MLOps

Neural network fundamentals
PyTorch basics
Backprop, optimisers, regularisation
Training tips and pitfalls
Image classification with PyTorch
Transfer learning with ResNet

Module 6

Module 6: Business Communication and Career Launch

Executive narratives
Dashboard design
Recommendation framing
Stakeholder reviews
SQL and Python interviews
ML case interviews

Who This Program Is For

Aspiring Data Scientist
Data Analyst
Business Analyst
Software Engineer
BI Developer
Product Manager

What You'll Achieve

Python for Data Science
Statistics and Probability
Data Wrangling and EDA
Supervised ML
Unsupervised ML
Deep Learning Intro
Applied GenAI
MLOps Basics

Frequently Asked Questions

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Start Your Data Science Journey Today

Instant access, 12 months to complete, mentor support throughout. Enrol and start learning in under 5 minutes.

Enrol for $199