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Data Science Fundamentals Course

Data Science Fundamentals Training Course

Edoxi’s Data Science Fundamentals Course helps you build foundational skills in Python, statistics, data visualisation, machine learning, and data analysis. Learn through hands-on projects, real-world datasets, and practical exercises using tools like Pandas, NumPy, and scikit-learn. Build in-demand data science skills and earn a recognised certification to start your career in data science and analytics. Enrol now! 

Course Duration
35 Hours
Corporate Days
5 Days
Learners Enrolled
6
Modules
8
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Course Rating
4.8
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Mode of Delivery
Online
Classroom
Certification by

Upcoming Batches

Start Date Duration Batch Type Time Mode Price Register
13-Sep-2026 5 DAYS Corporate Batch 09:00 AM - 05:00 PM Online $4,000 USD
22-Nov-2026 5 DAYS Corporate Batch 09:00 AM - 05:00 PM Classroom
India (Mumbai / Jaipur)
$5,000 USD

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Select your preferred location and schedule — customised training tailored to your goals.

What Do You Learn from Edoxi's Data Science Fundamentals Training

Data Science Lifecycle and Workflow
Master the data science lifecycle including problem framing, data collection, exploration, modelling, evaluation, and deployment across modern enterprise data environments effectively.
Python Programming for Data
Apply Python programming using NumPy, Pandas, and Matplotlib libraries to manipulate, transform, and analyse data efficiently across diverse business problem domains.
Statistics and Probability Foundations
Use descriptive statistics, probability, hypothesis testing, and inferential techniques to draw reliable insights from data and support sound analytical decision-making.
Data Wrangling and Visualisation
Clean, transform, and explore data using Pandas and visualise insights with Matplotlib, Seaborn, and Plotly across modern business analytics workflows effectively.
Machine Learning Foundations
Apply supervised and unsupervised machine learning algorithms including regression, classification, clustering, and decision trees using scikit-learn to solve business problems.
Model Evaluation and Ethics
Evaluate models using accuracy, precision, recall, ROC, and cross-validation while applying ethical AI, bias, and explainability principles across data science projects.

About Our Data Science Fundamentals Certification Course

Edoxi's Data Science Fundamentals course is a hands-on, beginner-friendly programme designed for aspiring data professionals, analysts, and technology enthusiasts seeking to master the foundations of data science. The training combines core data science concepts with strong practical application using Python and modern open-source tools widely used by global data teams.

Participants gain expertise in the data science lifecycle, Python programming, statistics, data wrangling, visualisation, machine learning, model evaluation, and ethical AI. The curriculum aligns with global data science best practices used by data professionals across finance, retail, healthcare, and technology industries in the UAE, GCC, and worldwide.

Delivered by experienced data scientists, the course emphasises real-world case studies, hands-on coding labs, and end-to-end mini projects that prepare learners for entry-level data analyst, data scientist, and machine learning roles. Whether you are a beginner, business analyst, or career switcher, this programme equips you with the foundational expertise to launch a strong data science career.

Enrol now to begin your data science journey and unlock high-growth career opportunities in data and AI.

Key Features of Edoxi's Data Science Fundamentals Training

40-Hour Hands-On Programme

Comprehensive 40-hour training covering data science lifecycle, Python, statistics, and machine learning essentials thoroughly with strong practical focus.

Expert Data Science Trainers

Learn from experienced data scientists with extensive industry experience across finance, retail, healthcare, and global technology data and analytics environments worldwide.

Python-Based Practical Curriculum

Curriculum uses Python, NumPy, Pandas, Matplotlib, Seaborn, and scikit-learn libraries widely adopted by data professionals across global enterprises and consultancies today.

Real-World Case Studies

Engage with real datasets, business problems, and end-to-end mini projects drawn from finance, retail, marketing, and global enterprise data science workflows.

Globally Recognised Certificate

Receive an Edoxi Certificate of Completion respected by employers across data, analytics, technology, and AI industries worldwide and across the region today.

Flexible Training Modes

Choose from classroom, online, or corporate formats designed to suit professional schedules, learning styles, and team development needs.

Who Can Join Our Data Science Fundamentals Course?

Aspiring Data Scientists

Beginners and aspiring data scientists seeking foundational training in Python, statistics, and machine learning to launch successful global data science careers.

Data and Business Analysts

Data and business analysts expanding their skills beyond Excel and reporting into Python, statistics, and modern machine learning techniques across organisations effectively.

IT and Software Professionals

IT and software professionals transitioning into data science seeking foundational knowledge of analytics, ML libraries, and data-driven application development across modern environments.

Finance and Marketing Professionals

Finance, marketing, and operations professionals seeking advanced data science skills to deliver insights, predictions, and analytics for strategic business decision-making globally.

Researchers and Academics

Researchers, academics, and PhD professionals seeking to apply modern data science techniques to research, analytics, and quantitative studies across diverse scientific disciplines.

Students and Career Switchers

Graduates and professionals transitioning into data and AI careers seeking practical, hands-on training and globally recognised certification in modern data science fundamentals.

Data Science Fundamentals Course Modules

Module 1: Introduction to Data Science
  • Chapter 1.1: Foundations

    • Lesson 1.1.1: What is Data Science?
    • Lesson 1.1.2: Data Science Lifecycle (CRISP-DM)
    • Lesson 1.1.3: Roles in Data Science Teams
Module 2: Python for Data Science
  • Chapter 2.1: Python Essentials

    • Lesson 2.1.1: Python Basics and Jupyter Notebooks
    • Lesson 2.1.2: NumPy for Numerical Computing
    • Lesson 2.1.3: Pandas for Data Manipulation
Module 3: Statistics and Probability
  • Chapter 3.1: Statistical Foundations

    • Lesson 3.1.1: Descriptive Statistics
    • Lesson 3.1.2: Probability and Distributions
    • Lesson 3.1.3: Hypothesis Testing
Module 4: Data Wrangling and Exploration
  • Chapter 4.1: Preparing Data

    • Lesson 4.1.1: Data Cleaning Techniques
    • Lesson 4.1.2: Handling Missing Values and Outliers
    • Lesson 4.1.3: Feature Engineering Basics
Module 5: Data Visualisation
  • Chapter 5.1: Visualising Data

    • Lesson 5.1.1: Matplotlib Basics
    • Lesson 5.1.2: Seaborn for Statistical Visuals
    • Lesson 5.1.3: Interactive Charts with Plotly
Module 6: Machine Learning Foundations
  • Chapter 6.1: ML with scikit-learn

    • Lesson 6.1.1: Supervised Learning - Regression
    • Lesson 6.1.2: Supervised Learning - Classification
    • Lesson 6.1.3: Unsupervised Learning - Clustering
Module 7: Model Evaluation and Improvement
  • Chapter 7.1: Evaluating Models

    • Lesson 7.1.1: Train/Test Split and Cross-Validation
    • Lesson 7.1.2: Accuracy, Precision, Recall, ROC
    • Lesson 7.1.3: Hyperparameter Tuning
Module 8: Ethics, Deployment, and Career
  • Chapter 8.1: Real-World Data Science

    • Lesson 8.1.1: Ethical AI and Bias in Models
    • Lesson 8.1.2: Model Deployment Basics
    • Lesson 8.1.3: Data Science Career Roadmap

Download Data Science Fundamentals Course Brochure

Data Science Fundamentals Course Outcome and Career Opportunities

By completing Edoxi's Data Science Fundamentals, you will build the skills to advance your career.

Course Outcome Image
Master the data science lifecycle including problem framing, data collection, exploration, modelling, evaluation, and deployment across modern enterprise data environments.
Apply Python programming using NumPy, Pandas, and Matplotlib libraries to manipulate, transform, and analyse data across diverse business problem domains.
Use descriptive statistics, probability, and hypothesis testing techniques to draw reliable insights from data and support sound analytical decision-making confidently.
Clean, transform, and visualise data using Pandas, Matplotlib, Seaborn, and Plotly across modern business analytics workflows and projects effectively today.
Apply supervised and unsupervised machine learning algorithms including regression, classification, clustering, and decision trees using scikit-learn for business problems.
Evaluate models using accuracy, precision, recall, ROC, and cross-validation while applying ethical AI, bias, and explainability principles across data projects.

Job Roles After Completing the Data Science Fundamentals Training

  • Junior Data Scientist
  • Data Analyst
  • Machine Learning Engineer (Entry-Level)
  • Business Intelligence Analyst
  • Quantitative Analyst
  • Research Analyst

Data Science Fundamentals Training Options

Online Training

  • 40-hour online Data Science Fundamentals course

  • Virtual expert-led instruction

  • Interactive exercises and feedback sessions

  • Real-time demonstrations and Q&A

  • Flexible scheduling for working professionals

Classroom Training

  • Face-to-face training at Edoxi training centre

  • Hands-on workshops with real-world scenarios

  • Peer learning in a structured classroom environment

  • Access to printed study materials and reference guides

  • Direct trainer interaction for personalised guidance

Corporate Training

  • 5-day corporate Data Science Fundamentals for organisational teams

  • Content tailored to your organisation's specific needs

  • Delivered at hotel, client premises, or Edoxi centre

  • Group-focused practical exercises and case studies

  • All logistics covered including venue, food, and refreshments

How to Get a Data Science Fundamentals Certification?

Here's a four-step guide to becoming a certified professional.

Become Certified in Data Science Fundamentals?

Join Edoxi's Data Science Fundamentals Course

Why Choose Edoxi for Data Science Fundamentals Course?

Edoxi is the top choice for Data Science Fundamentals. Here's why:

Industry-Experienced Trainers

Learn from experienced data scientists with decades of finance, retail, healthcare, and global technology experience across diverse data and AI environments, sectors, and complex domains worldwide.

Hands-On Python Curriculum

Our programme is built around hands-on Python, NumPy, Pandas, and scikit-learn practice, designed for immediate workplace application and meaningful long-term data science career impact.

Globally Recognised Certification

Earn an Edoxi certificate trusted by employers across the UAE, GCC, and international data markets enhancing professional credibility, career mobility, and long-term professional recognition.

Flexible Learning Modes

Choose classroom, online, or corporate training formats designed to accommodate busy schedules, individual learning preferences, and corporate team development requirements effectively.

Comprehensive Course Materials

Access detailed study guides, sample datasets, code notebooks, and case studies that support continued learning long after the course completion ends successfully.

Career Advancement Support

Benefit from career guidance, resume reviews, interview preparation, and networking opportunities to accelerate your data science career growth and long-term professional progression.

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Edoxi is Recommended by 95% of our Students

FAQ

Who should enrol in the Data Science Fundamentals course?

This course is ideal for aspiring data scientists, data and business analysts, IT professionals, finance and marketing analysts, researchers, students, and career switchers entering modern data science roles.

What prerequisites are required for this programme?

Participants should have basic computer literacy and familiarity with mathematics and Excel. Prior programming experience is helpful but not mandatory for joining the training.

Which tools and libraries are covered in the training?

The course covers Python, Jupyter Notebooks, NumPy, Pandas, Matplotlib, Seaborn, Plotly, and scikit-learn, alongside statistical and machine learning concepts widely used by data professionals.

Will I receive a certificate after completing the course?

Yes, learners receive an Edoxi Certificate of Completion upon successfully finishing the training and assessments. The certificate is recognised by employers across the UAE and internationally.

How is the course delivered?

The course is offered in three flexible modes: instructor-led classroom training at Edoxi centres, live online virtual sessions, and customised corporate training delivered on-site for organisational teams.

What is the average salary after completing Data Science Fundamentals?
Salaries vary by role and location.

Job RoleAverage Annual Salary (USD)
Junior Data Scientist$78,000
Data Analyst$72,000
Machine Learning Engineer (Entry-Level)$95,000
Business Intelligence Analyst$85,000
Quantitative Analyst$98,000
Research Analyst$70,000