Data Science with Python
Build job-ready data science expertise with Python to analyse data, build machine learning models and deploy AI-powered solutions.
Duration
Approx 13 weeks3-4 hrs per week
Learn data science with Python
Develop a strong foundation in Python programming, statistics, and data science through this four-course ExpertTrack. You will begin with essential programming concepts and learn how Python is used to collect, prepare, explore, and interpret data.
As you progress, you will work with widely used Python libraries and apply data science techniques to structured datasets. This foundation prepares you for the more advanced analysis and machine learning topics covered later in the ExpertTrack.
Build practical machine learning and AI expertise
Progress from data analysis to building and evaluating machine learning models with Python. You will explore supervised and unsupervised learning techniques, compare model performance, and learn how predictive methods can be applied to practical data problems.
The final stages of the ExpertTrack introduce advanced topics such as automated machine learning, MLOps, and model deployment, helping you understand how machine learning solutions move beyond experimentation.
Prepare for data-focused careers
Build technical knowledge relevant to roles such as data analyst, junior data scientist, machine learning practitioner, and AI-focused developer. The ExpertTrack helps you strengthen skills across the data science workflow, from programming and data preparation to modelling and production-aware practices.
By completing the four-course pathway, you will be better prepared to discuss data science methods, apply them in workplace or portfolio projects, and continue developing towards more specialised data and machine learning roles.
Key skills you will learn
- Python for Data Science
- Statistical Data Analysis
- Exploratory Data Analysis
- Data Visualisation
- Predictive Modelling
- Machine Learning
- Model Evaluation and Optimisation
- AutoML
- MLOps
- Model Deployment
Experience required
This ExpertTrack is suitable for learners who want to develop practical data science skills with Python. Basic confidence using a computer is expected. Previous professional experience in data science or machine learning is not required.
Some familiarity with basic mathematics will be helpful as you progress into statistics and machine learning. The programme begins with Python and data science foundations before moving into more advanced topics.
Getting started
It is ideal for career changers moving into data roles, working professionals looking to add analytics capabilities to their current role, and graduates preparing for data analyst, data scientist, or machine learning engineer positions. It is also valuable for managers and domain experts who want to understand how data-driven decisions are made.
ExpertTrack course overview
Course 1
Python and Statistics for Data Science
Learn Python for data science and build essential programming, data analysis, and statistical skills to help progress your career.
3 tests
3 weeks
3 hours per week
Week 1
Getting Started with Python for Data Science
- Begin Your Data Science Journey with Python
- Write Your First Python Programs
- Control Flow, Functions, and Data Structures
- Build Reusable Python Solutions for Data Tasks
Week 2
Numerical Computing and Data Manipulation
- Numerical Computing with NumPy
- Data Manipulation with Pandas
- Combining and Cleaning Data
Week 3
Statistical Foundations
- Descriptive Statistics
- Probability and Statistical Inference
Course 2
Data Analysis and Visualisation with Python
Gain practical data analysis skills and learn to collect, prepare, and visualise data using industry-standard techniques.
3 tests
3 weeks
3 hours per week
Week 1
Data Acquisition and Preprocessing
- Foundations of Data Analysis
- Collecting Data with Web Scraping
- Handling Missing Data and Feature Scaling
- Encoding and Preparing Analysis-Ready Data
Week 2
Data Visualisation and Storytelling
- Visualisation with Matplotlib
- Statistical Visualisation with Seaborn
- Data Storytelling and Visual Reporting
Week 3
Exploratory Data Analysis and Insight Presentation
- The EDA Workflow
- End-to-End Data Analysis Project
Course 3
Machine Learning with Python
Understand machine learning with Python and build predictive models to solve real-world data science problems.
3 tests
3 weeks
3 hours per week
Week 1
Machine Learning Foundations and Regression
- Step into Machine Learning with Python
- Machine Learning Fundamentals
- Build and Evaluate Regression Models
- Control Overfitting with Regularisation and Validation
Week 2
Classification, Ensemble Learning, and Model Explainability
- Predict Outcomes with Classification Algorithms
- Strengthen Predictions with Ensemble Methods
- Interpretability, Imbalance, and Recommenders
Week 3
Discover Patterns with Unsupervised Learning
- Segment Data with Clustering
- Dimensionality Reduction
Course 4
Advanced Machine Learning with Python
Take your machine learning skills into production as you gain knowledge of advanced Python techniques for real-world AI solutions.
4 tests
4 weeks
4 hours per week
Week 1
AutoML and H20 Foundations
- Navigating Your AutoML And MLOps Journey
- Why Automated Machine Learning Emerged
- Evaluate AutoML Frameworks and Set Up H2O
- Prepare and Validate Data for AutoML
Week 2
AutoML Optimisation, Evaluation, and Productionisation
- Engineer Features and Prevent Data Leakage
- Configure and Control AutoML Model Search
- Evaluate and Compare AutoML Model Performance
- Optimise Hyperparameters and Refine AutoML Models
- Export and Prepare AutoML Models for Deployment
Week 3
MLOps Foundations, Versioning, and Pipelines
- Track and Compare ML Experiments with MLflow
- Version Data and Reproduce ML Experiments with DVC
- Automate ML Pipelines and Manage Model Versions
Week 4
Production MLOps, Monitoring and Model Retraining
- Serve and Deploy ML Models to Production
- Monitor Model Performance and Automate Retraining
Prove you're job ready
Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
Download a PDF
How ExpertTracks work
Join an ExpertTrack to master new skills in your chosen specialist area. Work through a series of topic-focused courses at your own pace, and pass the final assessment to earn a digital certificate award which proves your expertise.
Decide if the ExpertTrack is right for you with free access to the full suite of courses and assessments for a week.
Pay a monthly subscription fee of $39 for as long as it takes you to complete the ExpertTrack. You can learn at your own pace and cancel at any time.
Receive a certificate for every completed course and pass the final assessment to earn a digital certificate.
Use your specialist training to progress further in your career or build expertise in areas you’re passionate about.
World-class learning with Edureka
Edureka is a global online learning platform offering industry-focused training in emerging technologies such as Cloud, AI, GenAI, Data Science, DevOps, and Cybersecurity, helping professionals upskill and advance their careers.
Meet your instructor
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
Want to know more about learning on FutureLearn? Using FutureLearn
What are our learners saying?
Add a new skill or forge a new path
"I recommend Futurelearn to anyone looking to learn and upskill...If you are in the job market, you might want to add a new skill or forge a new path."
They bring the classroom right to you
"FutureLearn courses are always interesting and informative. They bring the classroom right to you and send you on a journey to explore new ideas and offer interesting topics."
Start learning today - free 2-day trial
After your free trial you can:
- Pay $39 per month to keep learning online
- Have complete control over your subscription; you can cancel any time
- Work at your own pace and set your own deadlines at every stage
- Only pay while you’re learning; the subscription will cancel automatically when you finish
- Complete online assessments to test your knowledge and prove your skills
- Earn digital course certificates and a final award that you can share online, with potential employers, and your professional network
- Keep access to the content of courses you complete even after your subscription ends
FAQ
ExpertTracks are a series of online courses designed to help you master new skills in specialist areas. You pay a monthly subscription fee which includes access to all courses within the ExpertTrack, as well as assessments and the final digital certificate.
Each ExpertTrack comes with a 2-day free trial period. You may cancel your subscription at any time and your subscription will automatically cancel when you finish the courses and assessments in your chosen ExpertTrack.
Yes. All of our ExpertTracks come with a 2-day free trial. You may claim one free trial period per ExpertTrack.
You have two days before you will be charged your first monthly subscription fee. When you join an ExpertTrack you automatically receive a 2-day free trial period. You can cancel at any time during the trial period and no payment will be taken from your account.
Please see our full refund policy here.
No, all of our ExpertTracks consist of fully online courses. This means you can take an ExpertTrack from anywhere in the world.
No. ExpertTracks are designed for you to master new skills in a specialist area. You will earn a digital certificate that proves your learning, but it does not carry accreditation.
If you’re looking for certified or accredited courses, many of our microcredentials offer university credit or professional certification.
Have more questions about ExpertTracks? Read the ExpertTracks FAQs, or contact us.