Data Science Course & Data Analytics Course

4.9/5 Based on 12,784 reviews

Join the program and learn under the guidance of a Data Science Course & Data Analytics Course specialist.

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Expert Training Specialist

Data Science Course & Data Analytics Course

(1556 reviews)

Offering comprehensive courses in Data Science and Data Analytics, Ns3Edu is a globally recognized training provider. Our experienced industry mentors guide you through all the core concepts, tools, and practical techniques required in today’s data-driven world. You will gain job-ready skills, hands-on project experience, and strong analytical knowledge that will prepare you for certifications and high-demand roles in Data Science and Analytics.

Register Now and unlock exciting career opportunities in the fast-growing fields of Data Science and Data Analytics. Apply for a Free Demo to get a clear overview of the course content, structure, practical training approach, and teaching style — helping you decide if it matches your learning goals.

Course Objectives

Python for Data Analysis: Learn Python fundamentals, libraries like NumPy and Pandas, and how to handle real-world datasets.
Statistics & Data Understanding: Understand statistical concepts, probability, data distribution, and techniques used to interpret data accurately.
Data Cleaning & Preparation: Learn how to clean, organize, and transform raw data into a usable format for analysis and modeling.
Data Visualization Tools: Create powerful dashboards and visual reports using tools like Power BI, Tableau, and Python visualization libraries.
Machine Learning Basics: Get introduced to ML concepts, algorithms, and predictive modeling techniques used in real industry projects.
Real Industry Projects: Work on real datasets, case studies, and end-to-end projects to build a strong professional portfolio.

Mode

Online/Offline
Language

Hindi/English
Access

4/8 Months
Certificate

Yes

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Who Needs to Go

Students who want to start a career in Data Science or Data Analytics.
Beginners who want to learn data analysis and tools from scratch.
Graduates looking to enter high-demand data-related job roles.
Professionals who want to switch their career into the data field.
Working employees aiming to improve data handling and analytical skills.
Business professionals who want to make data-driven decisions.
Job seekers preparing for roles like Data Analyst or Data Scientist.
Developers who want to add data science and machine learning skills.
Entrepreneurs wanting to understand customer and business data.
Anyone interested in learning modern data tools and technologies.

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We are happy to help you 24/7

Global Recognition for Ns3edu's Data Science and Data Analytics Certifications

Obtaining your ns3edu Data Science Certification or Data Analytics Certification is evidence of your significant advancement in the field.
With our expert instructors, real-world projects, and dedicated career support, Ns3edu is the perfect place to accelerate your journey toward becoming a data professional.

This certificate not only equips you with the critical technical skills needed to succeed but also gives you the credibility and confidence to take on complex data challenges.
‍ Apply Now for our Data Science Certification or Data Analytics Certification today and become a leader in the data revolution!

Modules

Ns3edu Full Stack Data Science & Data Analytics course starts by building a strong foundation in data concepts, tools, and real-world applications.

Python for Data Science

• Introduction to Data Science & Python
• Python Fundamentals
• Data Structures (List, Tuple, Dictionary)
• Control Flow (Loops & Conditions)
• Functions & Their Advantages
• Object-Oriented Programming (OOP) Basics

Python Libraries, Database & Statistics

• NumPy for Numerical Operations
• Pandas for Data Analysis
• Data Visualization (Matplotlib & Seaborn)
• Database Basics (SQL)
• Descriptive Statistics
• Probability & Data Distribution

Machine Learning Fundamentals

• Introduction to Machine Learning
• Supervised Learning (Regression & Classification)
• Ensemble Learning Techniques
• Unsupervised Learning
• Scikit-Learn Library
• EDA & Data Wrangling
• Feature Selection & Dimensionality Reduction
• Model Building & Evaluation
• Cross-Validation & Hyperparameter Tuning
• Time Series Basics

Deep Learning

• Introduction to Deep Learning
• Neural Network Fundamentals
• TensorFlow Framework
• Keras for Model Building
• PyTorch Basics
• Computer Vision with OpenCV
• CNN (Convolutional Neural Networks)
• Network Architectures

Natural Language Processing

• Text Processing Techniques
• Feature Extraction (TF-IDF, Bag of Words)
• NLP Workflow
• Attention Mechanism Basics
• Real-World NLP Applications

MLOps & Deployment

• Model Deployment Concepts
• Version Control for ML Models
• Model Monitoring & Maintenance
• Building End-to-End ML Pipelines
• Deploying Models to Production

Optional Add-ons

Free access to our Data Science practice portal for extra datasets and hands-on exercises.
Data resources pack (datasets, cheat sheets, statistical formulas, visualization templates).
Bonus real-world case studies for Data Analytics practice.

Placement Support

Project portfolio review to match industry Data Science standards.
Resume & LinkedIn optimization for Data Analyst and Data Scientist roles.
Mock interviews with data-focused technical and case-study questions.
Guidance on freelancing, internships, and handling real data projects.

Career Paths & Job Roles

Data Analyst: Analyze data, create reports, and generate business insights.
Junior Data Scientist: Work on predictive models and machine learning projects.
Business Intelligence Analyst: Build dashboards and data visualization reports.
Data Executive: Handle data processing, cleaning, and database management.
Freelance Data Analyst: Work on data projects for startups and companies.

Eligibility & Requirements

No strict academic requirement. Basic computer knowledge and interest in data, numbers, and analysis is enough. Even if you are a beginner, we start from Python and data basics and guide you step-by-step.

Learning Methodology

Our method is simple: Concept → Practice → Project. You first understand data concepts, then work on guided exercises, and finally build real-world data analysis and machine learning projects.

Portfolio Deliverables

By the end, you will have a professional data portfolio including analysis reports, dashboards, machine learning models, and real datasets that you can present to companies.

Frequently Asked Questions

What are the basic fundamentals covered in the Data Science & Analytics course?

This course builds a strong foundation in data handling, analysis, and machine learning.

Python Programming
NumPy & Pandas
Data Cleaning
Data Visualization

Statistics Basics
Machine Learning Fundamentals
SQL & Databases
Real-World Projects

What career options are available after completing this course?

After completing the course, you can apply for multiple data-related roles.

Data Analyst
Junior Data Scientist
Business Intelligence Analyst

ML Engineer (Beginner)
Data Executive
Analytics Associate

What is the average salary in Data Science roles?

The average salary for entry-level Data Analysts in India ranges between ₹4–10 LPA, and it increases significantly with skills and experience.

Do I need prior coding knowledge?

No strict requirement. Even beginners can start. We teach Python, statistics, and data tools from scratch step by step.

Is this course practical or theoretical?

This course is highly practical. You will work on real datasets, dashboards, case studies, and machine learning projects.

How long does it take to learn Data Science?

On average, it takes 4–8 months depending on practice, projects, and learning pace.

Can I get a job after completing this training?

Yes. With strong project experience, tools knowledge, and interview preparation, data professionals are in high demand across industries.

Is Data Science good for freelancing?

Absolutely. Data skills allow you to work on analytics projects, dashboards, automation tasks, and ML solutions for clients worldwide.

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Data Science Course & Data Analytics Course