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AI, Data Science, CyberSecurity, FullStack Training | TuxAcademyAI, Data Science, CyberSecurity, FullStack Training | TuxAcademy
  • Home
  • Courses
    • Artificial Intelligence
      • AI Engineering Program
      • AI Agent & Automation Engineering Program
    • Data Analysis
    • Data Science
    • Cyber Security
    • Cloud and Blockchain
    • Programming
      • Python Programming
      • Advanced Python
      • C Programming
      • .NET with C#
      • Java Programming
    • Robotics
    • DevOps Course
    • Linux
    • Database
    • Full Stack Development
  • Placement
  • KnowledgeBase
  • Internship
  • Contact Us
  • Our Channel
  • Events
  • Mentors
DATA SCIENCE ONLINE COURSE

Data Science Online Course with Live Training, Real-World Projects & Career Support

COURSE HIGHLIGHTS
✓ Live Python & Data Science Training
✓ Statistics, SQL & Data Analysis
✓ Python, Pandas & NumPy
✓ Data Visualization & EDA
✓ Hands-on Labs & Real-World Projects
✓ Small Premium Batches (2–3 Learners)
✓ Machine Learning & Capstone Projects
✓ Career & Interview Support
01View Curriculum ♙Trainer Profile ↗Career Readiness ◫Batch Schedule ↗Data Science Blogs
WHY LEARNERS CHOOSE THIS PROGRAM
◷
Live Sessions

Instructor-led online training

◆
Real-World Data Projects

Structured practical implementation

✓
Career Support

Interview and career guidance

⌂
Learn From Anywhere

Premium live online format

DS
DATA
SCIENCE
Live Online Training  •  Industry Certificate

Course Details

Everything you need to know

□   Course NameData Science
◉   Learning FormatLive Online
◫   Batch Size2–3 Learners
◎   Curriculum10 Modules
◇   Practical WorkProjects & Labs
✓   CertificationProvided
♧   Career SupportIncluded
Enquire Now →
WHAT YOU GET
  • Live instructor-led online classes
  • Hands-on Data Science labs and projects
  • Small-batch mentor attention
  • Python, SQL, Statistics & Machine Learning learning
  • Career and interview support
2–3Learners per premium batch
LiveInstructor-led online sessions
10Structured Data Science learning modules
100%Practical & project-oriented approach
Training Features

A premium learning experience built around practical outcomes

Go beyond theory with live instruction, real-world datasets, assignments, projects and industry-focused certification.

01
Instructor-Led Sessions
  • Live, interactive online classes
  • Real-time explanations and demonstrations
  • Direct mentor interaction during learning
02
Real-World Datasets
  • Learn through practical data scenarios
  • Connect concepts with business datasets
  • Understand how data solutions are applied
03
Practical Assignments
  • Reinforce concepts through guided tasks
  • Build data analysis confidence
  • Receive mentor-oriented learning guidance
04
Live Projects
  • Hands-on project implementation
  • Work with practical data workflows
  • Build portfolio-ready project experience
05
Industry-Recognized Certification
  • Demonstrate completion of the program
  • Strengthen your professional profile
  • Showcase your Data Science learning journey
06
Personalized Mentor Support
  • Focused guidance in a 2–3 learner batch
  • Real-time doubt solving and feedback
  • Support throughout your practical learning journey
Career Readiness

6 Stages Of Your Success

A clear step-by-step journey from practical Data Science learning to interview preparation and career support.

BUILD
Gain Practical Skills

Develop hands-on Data Science skills through guided learning and practical work.

01STEP
PREPARE
Resume Update

Present your learning, projects and skills with a stronger professional profile.

02STEP
PRACTICE
Prepare For Interviews

Build confidence with focused preparation around your Data Science skills and projects.

03STEP
APPLY
Apply For Job Openings

Use your skills and portfolio evidence to pursue relevant opportunities.

04STEP
GROW
Learn And Improve

Keep improving through feedback, practice and continuous learning.

05STEP
LAUNCH
Joining Letter

Reach the final milestone with career-focused support and readiness.

✓ CAREER READY
06SUCCESS
LearnBuild practical capability→PrepareBecome interview ready→ApplyMove toward opportunity→GrowKeep improving
Online Learning Experience

Not just an online course. A guided learning experience.

The online page is built around live virtual interaction, practical datasets and mentor-guided Data Science learning.

01
Live Virtual Classroom
  • Real-time instructor-led sessions
  • Interactive explanations and demonstrations
  • Ask questions during the class
02
Small Batch Advantage
  • Only 2–3 learners per batch
  • Better individual attention
  • More time for practical discussions
03
Hands-on Online Labs
  • Step-by-step practical exercises
  • Project-based data analysis
  • Mentor guidance while you build
Your Learning Journey

From core concepts to practical projects

A structured path designed to move from concepts to implementation without making the learner feel lost.

STEP 01
Build the Foundation
  • Understand Data Science fundamentals
  • Learn Python and SQL basics
  • Connect concepts with examples
STEP 02
Learn Core Concepts
  • Statistics & probability
  • Data cleaning & preprocessing
  • Exploratory data analysis
STEP 03
Practice with Tools
  • Python, Pandas & NumPy
  • Data visualization
  • Guided online labs
STEP 04
Build Data Projects
  • Real-world datasets
  • Machine Learning projects
  • Portfolio-oriented learning
Course Curriculum

Complete Online Course Syllabus

The online program follows a structured 10-module Data Science syllabus, while delivery is optimised for live virtual learning.

  • Python fundamentals
  • Functions and modules
  • NumPy basics
  • Pandas for data analysis
  • Descriptive statistics
  • Probability basics
  • Distributions and sampling
  • Correlation and hypothesis testing
  • SQL queries
  • Filtering and sorting
  • Joins and aggregations
  • Subqueries and practical analysis
  • Missing values
  • Duplicates and outliers
  • Data transformation
  • Feature engineering
  • EDA workflow
  • Univariate and bivariate analysis
  • Correlation analysis
  • Insight generation
  • Matplotlib
  • Seaborn
  • Charts and visual exploration
  • Data storytelling
  • Regression
  • Classification
  • Clustering
  • Model evaluation
  • Feature selection
  • Encoding and scaling
  • Model tuning
  • Cross-validation
  • Business problem framing
  • KPI analysis
  • Data-driven recommendations
  • Insight presentation
  • End-to-end Data Science project
  • Real-world dataset analysis
  • Machine Learning implementation
  • Project presentation
Download Syllabus PDF
Practical Learning

Learn by building, not just watching

Every major concept is connected to practical work so you can understand how Data Science is applied to real-world datasets and business problems.

01
REAL-WORLD APPLICATION
Business Data Analysis

Explore practical business scenarios and learn how to turn datasets into useful insights.

  • Understand real-world data applications
  • Break problems into analysis steps
  • Discuss practical implementation choices
02
HANDS-ON WORKFLOW
Data Analysis & ML Workflow

Work through guided data workflows and connect concepts with practical implementation.

  • Clean and analyse real datasets
  • Build visualisations and models
  • Connect theory with implementation
03
PROJECT EXPERIENCE
Data Science Capstone

Apply your learning through a guided capstone project with mentor feedback and practical outcomes.

  • Build an end-to-end project
  • Get mentor feedback
  • Create portfolio-ready evidence
LearnUnderstand concepts
→
PracticeApply with guidance
→
BuildCreate project experience
Mentor Profile

Learn with practical, industry-focused guidance

Geetanjali Mehra - Expert Data Science Mentor
TuxAcademy Mentor

Geetanjali Mehra - Expert Mentor

  • Helps learners build practical Data Science skills through hands-on learning.
  • Focuses on project-based training and industry-focused guidance.
  • Encourages understanding data concepts through experimentation with modern tools.
  • Connects Data Science concepts with real-world use cases and practical implementation.
Data ScienceStatistics & EDAPython & SQLMachine LearningData Projects
View Trainer Profile
Program Highlights

Designed for learners who want personal attention

A
Premium 2–3 Learner Batch
  • Small group interaction
  • More direct mentor attention
  • Better opportunity to ask questions
B
Flexible Online Learning
  • Join from anywhere
  • Live online classroom environment
  • Structured learning schedule
C
Career-Focused Guidance
  • Project-oriented learning
  • Portfolio guidance
  • Interview and career support
Career Outcomes

Turn Your Learning into Career-Ready Skills

The program focuses on practical understanding that can support learners preparing for data, analytics and machine learning roles.

Data & Analytics Roles
  • Data Analyst
  • Business / BI Analyst
  • Junior Data Scientist
Data Science & Machine Learning
  • Explore Machine Learning workflows
  • Build practical predictive models
  • Create portfolio-ready projects
Career Guidance
  • Project and portfolio guidance
  • Interview preparation support
  • Industry-focused learning direction
Online Batch Schedule

Choose a live learning schedule that works for you

Weekday Batch
  • Live online sessions
  • Structured weekly learning
  • Ideal for regular learners
Weekend Batch
  • Live online learning
  • Designed around weekend availability
  • Suitable for working learners
Small Batch Enrolment
  • Only 2–3 learners
  • Limited seats per batch
  • Confirm schedule during counselling
Explore TuxAcademy

Continue Your Learning Journey with the Right Technology Path

Explore practical TuxAcademy learning resources to build skills beyond this Data Science Online Course.

PANDAS

Pandas Tutorial for Beginners

Learn the fundamentals of Pandas and build practical data analysis skills with Python.

Read Pandas Guide →
SQL

SQL for Scientists: Complete Guide

Understand SQL concepts and queries used for practical data analysis and reporting.

Read SQL Guide →
DEEP LEARNING

Build CNN Model in Python Using MNIST

Explore a practical image-classification workflow by building a CNN model in Python.

Read CNN Tutorial →
DATA SCIENCE

What Is Data Science? Beginner Guide

Understand Data Science basics, its workflow and how data is used to solve real problems.

Read Data Science Guide →
Fill the Form

Get course details & book your online counselling session

Share your details and the TuxAcademy team can help you understand the course, batch schedule and learning format.

What you'll get

  • Data Science Course Online details
  • Upcoming 2–3 learner batch information
  • Live class schedule and learning format
  • Curriculum and practical project guidance
  • Career and placement-support information

Quick Enquiry

    FAQ

    Frequently asked questions

    Is this a live online Data Science course? +
    Yes. The page is designed around live instructor-led online learning rather than a recorded-only course.
    How many learners are in one batch? +
    The premium online format is designed for 2–3 learners per batch to provide more personalised attention.
    What topics are covered in the Data Science curriculum? +
    The curriculum covers Python, Statistics, SQL, Data Cleaning, EDA, Data Visualization, Machine Learning and practical capstone projects.
    Will there be practical projects? +
    Yes. The course emphasises hands-on learning, guided labs, real-world datasets and practical Data Science projects.
    Can I join from anywhere in India? +
    Yes. The online format is designed for learners who want to attend live classes remotely.
    Start Your Data Science Journey

    Build Practical Skills with a Mentor-Led Online Experience

    Explore the Data Science Course Online at TuxAcademy and find the right live batch for your learning goals.

    Enquire About the Data Science Course Call Now
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