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Kgisl Skill Development

 Learn Data Science Online: Courses & Training  

Start your journey in data science with expert-led online training

Professional Certification in Data Science

Professional Data Science guidance from experts

Globally recognized certification

Real world projects and practical experience

Adaptable online learning options

Internship programs to kickstart your IT career

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Get Online Data Science Certification Details

Upcoming Class Schedule

Feb 15th 2025

6PM - 9PM

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Graduates & Early to Mid-career Professionals

Duration

250 Hours

Mode

Online

Format

Hands-On

Suited For

Graduates & Early to Mid-career Professionals

Each weeks

4 weeks

Each Session

6 Session

Instructor

Gaythri T

Gaythri T

Subject Matter Expert- Data Analytics and Data Science

Know More
The Best Way to Learn Python Programming for Data Science Careers
Top 5 Reasons to Choose a Data Science Online Course
Eligibility Requirements for a Data Science Course: Everything You Need to Know
 Deep Learning with NLP: A Comprehensive Overview for Aspiring Data Scientists
Which Coding Platform Works Best for Data Science Learning?

Assurance to Reach Your Career Goal After Enrolling in a Data Science Online Course

The growing demand for data scientists across industries makes now the perfect time to upskill with our data science online course. Covering everything from basic Python programming to advanced topics like deep learning with NLP and supervised machine learning, this program equips you with essential skills to succeed in a data-driven world. Ideal for data scientist freshers or professionals looking to enhance their expertise, our course ensures a strong foundation and practical knowledge for a successful data scientist career path.

Quality Learning From the Best Data Science Institutes

With our industry-aligned curriculum, you’ll gain practical knowledge in Python for data science, machine learning, and deep learning with NLP.

Learn foundational coding and data science techniques

Gain skills for data scientist roles in industries like Finance, Retail, and Technology

Get rewarding opportunities with globally recognized certification

Core Findings of Our Data Science Courses

Our programs empower you with the essential skills to thrive in a data-driven world.

Comprehensive Learning:

From basic coding in Python to supervised machine learning, master key tools and concepts.

Job-Ready Skills:

Gain expertise in industry tools and technologies to kickstart your data scientist career path.

Flexible Learning:

Study at your own pace with self-paced modules and live expert guidance.

Why Choose KGiSL Skill Development’s Data Science Course?

We Cover the Whole of Data Science from Basics with Our Online Data Science Course to Build a Strong Tech Career in You! Here's what you'll learn:

Build a Strong Foundation in Data Science

Build a Strong Foundation in Data Science

Start with essential concepts, learning to use Python for data analysis and visualization through beginner-friendly exercises.

Advance Your Skill Set with Modern Techniques

Advance Your Skill Set with Modern Techniques

Delve into key areas such as machine learning algorithms, natural language processing, and sophisticated data processing using tools like Python, R, and SQL.

Gain Practical Experience with Real-World Projects

Gain Practical Experience with Real-World Projects

Tackle hands-on case studies that replicate industry challenges, equipping you with practical knowledge and the confidence to solve complex problems.

Expand Your Career Horizons

Expand Your Career Horizons

Earn a certification from a leading data science institute and open doors to roles like Data Analyst, Machine Learning Specialist, and Data Scientist, meeting the demands of the growing tech landscape in the UAE and beyond.

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Why Enroll In an Data Science Course in Dubai?

200+ Hours of Live Sessions

180+ Hours of Project

180+ Hours of Self-Practice

25+ Aptitude Tests

EPIC Learning

Adaptive LMS

Soft Skills Training

Ongoing Career Support

Flexible EMI Plans

Master Data Science with Our Comprehensive Online Course

Our data science online course is designed to help you excel in the field, whether you're a beginner or a professional. Start with basic coding in Python, progressing from simple Python code for beginners to advanced techniques in Python for data science. Gain expertise in supervised machine learning, deep learning with NLP, and essential skills for data scientists. Delivered by a top institute for data science, this program offers hands-on projects, practical insights, and a clear data scientist career path. Whether you're a data scientist fresher or an experienced professional, this is one of the best data science courses to help you succeed.

Curriculum for Data Science Certification

Module 1

Python Programming for Beginners

Learn the essentials of Python programming, laying a solid foundation for data science.

Topics Covered:

PythonBasics, Control Statements, and Data Structures

Functions, Modules, and File Handling

ErrorHandling and Object-Oriented Programming (OOP)

AdvancedPythonConcepts

Tools/Software:

PythonLibraries: NumPy, Pandas, Matplotlib, and Seaborn

Outcomes:

Write simple Python code for beginners

Developskills in data cleaning, exploration, and visualization

Module 2

Machine Learning Basics

Dive into machine learning principles, algorithms, and techniques.

Topics Covered:

Supervised and Unsupervised Learning

Time Series Analysis and Model Selection

Regularization and Optimization Techniques

Tools/Software:

Scikit-learn, TensorFlow, and Keras

Outcomes:

Understand the principles of supervised machine learning

Build, evaluate, and deploy machine learning models

Module 3

Deep Learning with NLP

Explore advanced AI topics, focusing on neural networks and natural language processing.

Topics Covered:

Neural Networks and Convolutional Neural Networks (CNN)

Text Processing and Sentiment Analysis

Web Frameworks(Streamlit, Flask) for AI Applications

Tools/Software:

NLTK,SpaCy, and TensorFlow

Outcomes:

Develop AI solutions for text and language-based problems

Build end-to-end applications using web frameworks

In Demand Data Science Careers

Upon completing this data science course, you'll be well-prepared for various in-demand career roles across industries

Data Scientist

Data Analyst

Machine Learning Engineer

AI Specialist

NLP Specialist

Data Engineer

Business Analyst

Research Scientist

Industry Tools

Allows your business and technology computers to store, transmit, analyze, and manipulate big data.

Power BI

Excel

Jupyter

Python

Tableau

SQL

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Skills You’ll Excel After Completion of Data Science Course

Python Programming

Python Programming

Foundational knowledge of Python basics, control statements, and data structures.

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Machine Learning Expertise

Machine Learning Expertise

Building and deploying models with supervised and unsupervised learning.

Full-Stack Data Science Applications

Full-Stack Data Science Applications

Developing interactive web applications with tools like Streamlit and Flask.

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Career-Ready Skills

Career-Ready Skills

Comprehensive understanding of data analysis, machine learning workflows, and visualization tools.

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Upon Completing Our Online Data Science Course You’ll Be Ready To

Build expertise in tools like TensorFlow, Pandas, and Scikit-learn.

Prepare for roles such as Data Scientist, Machine Learning Engineer, or NLP Specialist.

Showcase your skills with a globally recognized certification, opening doors to a data scientist career path.

Earn Your Data Science Certification

Showcase your knowledge with an industry-recognized Professional Certification in Data Science Share it on LinkedIn or with your network to unlock new career opportunities in GenAI, Machine Learning or Big Data.

Get Certified as a Data Scientist

View the Data Science Course Package to Learn More.

Get In Touch

Frequently Asked Questions?

Key skills for data scientists include proficiency in Python programming for beginners,
data visualization, supervised machine learning, and expertise in deep learning with
NLP

Start with Python basics, practice simple Python code, and progress through projects
that focus on real-world applications.

Complete a professional data science online course, build a portfolio with practical
projects, and network on platforms like LinkedIn to explore data scientist jobs for
freshers.

Our program is one of the best data science courses, designed to provide
industry-relevant skills and hands-on training in topics like Python for data science and
machine learning.

The course includes modules on basic coding Python, advanced machine learning, and
specialized areas like deep learning with NLP and supervised machine learning, along
with real-world projects.

Yes, it’s ideal for data scientist freshers, offering foundational knowledge, practical
training, and certification to boost career prospects.

Absolutely! The program equips you with the skills needed for data scientist jobs for
freshers, along with career guidance and placement support.

This program is open to graduates, beginners, and professionals interested in analytics,
programming, or technology and is offered by a top institute for data science.

Our course focuses on Python and tools like Flask, ensuring a great learning data science
course for practical application and skill development.

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GAYTHIRI-T
Subject Matter Expert - Data Analytics and Data Science
Educational Qualification:

Master of Science in Machine Learning & Artificial Intelligence | Liverpool John Moores University, UK

Executive PG Diploma: ML & AI | International Institute of Information Technology, Bangalore
Bachelor of Engineering in Computer Science | Thiagarajar College of Engineering, Madurai

Professional Summary

  • Over 5+ years of industrial and training experience including TCS
  • Implemented an automated customer complaint classification system, utilizing NMF for topic modelling on clients' complaints dataset and designing a supervised model to predict relevant topics for incoming complaints.
  • Implemented a Random Forest predictive maintenance model, chosen for robust performance and interpretability, in the manufacturing equipment's control system, utilizing sensor data to proactively identify issues and achieve a 28.7% reduction in equipment downtime.
  • Established an end-to-end Machine Learning Operations (MLOps) solution using Jarvislabs to lower the Customer Acquisition Cost (CAC) for EdTech firm 'CodePro' by computing lead scores to forecast course enrolment likelihood.
  • Developed a capstone project focusing on credit card fraud detection.
  • Assessed the loan dataset of a lending finance firm to determine the likelihood of a client defaulting or repaying a loan based on foundational client information.
  • Developed and led the implementation of a time series forecasting model, incorporating diverse models, including XGBoost and LSTM, resulting in a 16.3% reduction in energy load prediction errors.
  • Implemented a real-time fraud detection system in a cosmetic E-commerce platform using XGBoost, reducing fraudulent transactions by 18.8%, enhancing security and customer trust.
  • Innovated a gesture recognition feature for smart TVs, implementing a system adept at accurately identifying five user gestures from input videos using three architectures: 3D Convolutional network, CNN + RNN, and Transfer learning with GRU (Gated Recurrent Units), enabling seamless TV operation without a remote.
  • Implemented a robust quality control system utilizing sensor details and product images, integrating a finely tuned CNN model, resulting in a significant 21.4% reduction in product defects.
  • Established customer segmentation through K-Means clustering, crafting personalized marketing strategies, product recommendations, and tailored communication channels for each distinct customer group based on in-depth analysis of common characteristics, behaviors, and preferences.
  • Statistics essentials, Inferential statistics, Hypothesis testing
  • Exploratory Data Analysis, Predictive Analysis, Regression & Classification
  • Linear and Logistic Regression, Naive Bayes Classifier, Decision Trees, Random Forests, Bagging and Boosting Techniques, XGBoost, Clustering – K Means and Hierarchical clustering, Principal Component Analysis (PCA)
  • Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Transfer Learning, LSTM (Long Short-Term Memory networks), GRU (Gated recurrent units)
  • NLP (Natural Language Processing), MLOPs
  • Tools Excel, VSCode, Jupyter, Jarvislabs, GIT
  • Packages Python, Pandas, Numpy, Scikit Learn, Matplotlib, Seaborn
  • Data Exploration & Analysis, Model Building & Evaluation
  • Feature Engineering, Data Storytelling & Visualization
  • Machine Learning Model Selection, Predictive Modeling
  • Computer vision, Metaheuristic Optimization algorithms
  • Deep Learning
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