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Ready to Kickstart Your Data Science Career?

Dive in from day one—no endless theory, just real hands-on stuff

All the cool tools: Python, ML, and more

Learn your way—join us online or in person

Build projects that matter (no more watching endless slides, promise)

Get certified and walk into interviews ready to crush it

Check Your Eligibility!

Get personalized career guidance

Get personalized career guidance

Schedule a 30-minute expert call

Schedule a 30-minute expert call

Discover your upskilling path

Discover your upskilling path

No strings attached—explore your career options with expert advice!

Why Choose KGiSL Skill Development for Data Science in Dubai?

Simple—they’re not just tossing theories at you and calling it a day. Nope, they’re all about rolling up your sleeves and getting into the gritty, real stuff that companies want.

Learn From the Pros

Learn From the Pros

Seriously, our trainers aren’t just reading off slides—they’re legit data science folks who’ve been in the trenches. Expect juicy stories, practical tips, and the sort of “oh wow, didn’t know that” moments you only get from people who’ve done the work.

Everyone’s Welcome

Everyone’s Welcome

Just starting out? Or maybe you’ve been knee-deep in data for years? Doesn’t matter. We’ve got something for the spreadsheet newbie and the hardcore code wrangler. Plus, we see learners from every industry you can think of—IT, banking, oil & gas, retail… you name it.

Learn by Doing (Not Just Watching)

Learn by Doing (Not Just Watching)

Forget passive lectures. You’ll get your hands dirty—interactive sessions, real projects, and case studies that make stuff stick. Trust me, you’ll remember more by actually doing instead of just staring at a screen.

Get Fluent With the Good Stuff

Get Fluent With the Good Stuff

You’ll tinker with Python, SQL—the heavy hitters everyone wants on a resume right now. No fluff, just the tech that’ll make you stand out at your next gig.

Projects That Aren’t Boring

Projects That Aren’t Boring

You’ll dive into real datasets and solve problems from start to finish. By the end, you won’t just know what a model is—you’ll have built one, fixed it, and maybe even explained it to your boss. You’ll be ready for the wild world of data, not just textbook examples.

Data Scientist

Data Scientist

ML Engineer

ML Engineer

MLOPs Engineer

MLOPs Engineer

Research Scientist

Research Scientist

Python Developer for ML

Python Developer for ML

What Kind of Jobs Can You Land After This?

Advantages of Data Science Course

Data is everywhere, and if you know how to work it, you’re a wizard in today’s job market.

Pick Up Killer Skills

Python, and SQL...you’ll get hands-on with all the good stuff employers drool over.

Level Up Your Career

Data science chops make your CV pop. Want to move up to analytics, business intelligence, or even data engineering? This is your ticket.

More Skills, More Bills

People with data know-how usually earn more. It’s not magic, it’s just market demand—get in and grab your slice.

Get the Machine Learning Lowdown

Figure out how all those fancy AI models work. If you’re eyeing a future in automation, AI, or anything where computers “think,” you need this.

Work With Real Data (No Boring Theory Dumps)

Work with real industry data, solve actual business problems, and build skills employers value—no boring theory dumps, just practical learning.

What Makes Our Dubai Data Science Full Course Stand Out?

Here’s what you’re getting at KGiSL Skill Development!

Course Curriculum Overview

Data Science Course for Freshers in Dubai

Total Duration: 3 Months | 180 Hours

Python Programming for Data Science

Learn Python from scratch—including control structures, data structures, object-oriented programming, and key libraries like NumPy and Pandas. Gain hands-on experience with data cleaning, exploratory data analysis (EDA), and data visualization using Seaborn, Matplotlib, and Plotly.

Machine Learning Foundations

 Understand core ML concepts such as supervised and unsupervised learning, model selection, regularization, and basics of neural networks and convolutional neural networks (CNNs).

Practice with tools like scikit-learn, TensorFlow, and Keras. Also explore basics of natural language processing and time series analysis.

Project-Based Learning

 Work on two milestone projects:

  • Project Phase 1 – Apply Python and EDA skills through self-paced, guided project work.

  • Project Phase 2 – Complete a capstone project using machine learning and deployment tools like Streamlit and Flask.

Course Duration Summary

Training

Training

120 hours

Practice

Practice

90 hours

Project Work

Project Work

20 hours

Data Science Course for Laterals in Dubai

Total Duration: 3 Months | 155 Hours

Python for Data Science

 Gain proficiency in Python programming with a focus on data handling, visualization, and exploratory data analysis (EDA). Learn to work with data structures, functions, libraries like NumPy and Pandas, and perform data cleaning, visualization, and basic automation. You’ll also build real-world connections using SQL integration and explore Natural Language to SQL conversion.

 

Machine Learning & AI

 Dive into both foundational and advanced machine learning concepts including regression, classification, clustering, NLP, recommendation systems, and time series forecasting. Get hands-on with algorithms, model tuning, evaluation metrics, and app development using tools like scikit-learn, XGBoost, TensorFlow, and Flask.

 

MLOps & Model Deployment

Dive into descriptive and inferential statistics, probability, distributions, correlation, hypothesis testing, and regression analysis. Apply concepts through hands-on tests like t-tests, z-tests, chi-square, ANOVA, and A/B testing.

Total Hours Breakdown

 155 hours

155 hours

Training

125 hours

125 hours

Practice (Self-paced)

40 hours

40 hours

Project Work

Data Science Course Modules

Module 1

Python for Data Science

Build a strong foundation in Python—the most popular programming language for data science. This module is designed to take you from the basics all the way to hands-on data analysis using essential Python libraries.

What You’ll Learn:

Getting Started with Python

Understand how Python works, install the required tools, and get familiar with IDEs like PyCharm, Jupyter Notebook, and Visual Studio Code.

Python Fundamentals

Learn the core concepts: variables, data types, operators, and writing clean, readable code.

Control Flow in Python

Master conditional statements, loops, and how to control the flow of your programs efficiently.

Working with Data Structures

Explore built-in structures like lists, tuples, sets, and dictionaries—learn how and when to use each.

Functions, Modules & Packages

Organize your code with reusable functions, and understand how to use and create Python modules and packages.

File & Error Handling

Learn how to read/write files and handle exceptions gracefully to build robust programs.

Object-Oriented Programming (OOP)

Dive into classes, objects, inheritance, and encapsulation to build scalable, real-world applications.

Advanced Python Concepts

Take your skills further with topics like decorators, generators, comprehensions, and more.

Essential Python Libraries for Data Work

NumPy: Perform fast numerical operations
Pandas: Handle and manipulate structured data effortlessly

Data Cleaning & EDA (Exploratory Data Analysis)

Learn how to clean messy data and draw insights using Pandas and NumPy.

Data Visualization

Create stunning visualizations using top Python libraries:
Matplotlib: For basic plots
Seaborn: For statistical and stylish charts
Plotly: For interactive dashboards and visual stories
Module 2

Machine Learning

This module introduces you to the heart of modern AI—Machine Learning. You'll explore core ML techniques, real-world applications, and powerful tools to help you build, evaluate, and deploy intelligent models.

What You’ll Learn:

Foundations of Machine Learning

Understand what machine learning is, how it works, and the difference between supervised and unsupervised learning techniques.

Supervised Learning with scikit-learn

Learn to train models on labeled data using algorithms like linear regression, decision trees, and support vector machines—all with the popular scikit-learn library.

Unsupervised Learning

Explore clustering and dimensionality reduction techniques like K-Means and PCA to uncover hidden patterns in unlabeled data.

Time Series Analysis

Discover how to work with time-dependent data—perfect for forecasting, stock predictions, and sensor data modeling.

Functions, Modules & Packages

Organize your code with reusable functions, and understand how to use and create Python modules and packages.

Model Selection & Evaluation

Learn how to choose the right model using techniques like cross-validation, and evaluate model performance with metrics like accuracy, precision, recall, and F1-score.

Regularization Techniques

Improve your model’s generalization with L1 and L2 regularization—essential for reducing overfitting.

Natural Language Processing (NLP)

Dive into text data: from tokenization and stemming to building models that understand and generate language.

Introduction to Neural Networks

Understand how basic neural networks work, including concepts like activation functions, forward/backward propagation, and gradient descent.

Convolutional Neural Networks (CNNs)

Build models for image recognition and computer vision tasks using TensorFlow and Keras.

Building ML-Powered Web Apps

Deploy your models with interactive web frameworks like Streamlit and Flask—bring your machine learning projects to life with real-time user interaction.

Module 3

MLOps – From Model Deployment to Automation

Get ready to bridge the gap between building ML models and making them production-ready. This module introduces you to the world of MLOps—where data science meets engineering—to help you deploy, automate, and maintain models with confidence.

What You’ll Learn:

Introduction to MLOps & CI/CD Pipelines

Understand the role of MLOps in modern machine learning workflows and how CI/CD pipelines (with GitHub Actions) streamline the process of testing, versioning, and deploying models.

Deploying ML Models with FastAPI

Learn to turn your ML models into real-time REST APIs using FastAPI, enabling quick and scalable local deployment for inference.

Automating Workflows with MLflow

Discover how MLflow simplifies experiment tracking, model versioning, and deployment. Learn to manage the entire model lifecycle in one place.

Dockerizing Your ML Projects

Use Docker to containerize your ML applications, ensuring they're reproducible, portable, and easy to deploy across environments.

Simulating End-to-End ML Pipelines

Put theory into practice by simulating a complete ML pipeline—from data preprocessing to model deployment—to understand how the pieces fit together.

Monitoring & Maintaining Models in Production

Explore tools and strategies to keep your models running smoothly in production, monitor performance over time, and know when it’s time for updates or retraining.

What You’ll Get Outta Our Data Science Certification Course in Dubai

This isn’t your typical snooze-fest theory class where you zone out and forget everything by next week. We’re all about real, hands-on stuff that'll make you useful in the wild world of data.

Self Assesment

Strengthen your learning through applied assessments, concept-based quizzes, and project reviews that reinforce theoretical understanding and foster practical readiness for certifications in data science.

Industry Tools

Learn how to use industry-standard technologies that top businesses in Dubai and the UAE's expanding digital sector employ.

Pandas

NumPy

matplotlib

seaborn

scikit-learn

Jupyter Notebooks

Python

PySpark

Git

GitHub

Data Science Online Course With Certificate

Earn an industry-recognized Professional Certification in Data Science to highlight your expertise. Share your certification on LinkedIn or your network to unlock new opportunities in data-driven fields.

FAQs – Got Questions About the Data Science Course? We’ve Got You.

 We focus on real world skills, not just theory. You’ll learn from industry experts, work on hands on projects, and master tools like Python, SQL—all in one place.

 The full course runs for around 3 to 4 months. You can choose between in person training in Dubai or live online sessions—whichever fits your schedule best.

 Yes! You’ll earn an industry recognized certification from KGiSL Skill Development, which can boost your resume and help you stand out in job applications.

 Definitely. Many of our learners come from non tech backgrounds. This course is designed to give you a smooth transition into data related roles, even if you're starting from scratch.

 Yes, a personal laptop is required. We’ll guide you on how to install all the tools—most of them are free and beginner friendly.

 Yes, we include quizzes, assignments, and project evaluations to track your progress and ensure you’re ready for real world job roles.

Talk to Our Experts

Schedule your call today. We're here to help and answer any queries you might have.

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