Data Science & Analytics Bootcamp by Lexford International University
- Industry-Oriented Bootcamp Program
- Online learning format with industry mentorship
- No IELTS / TOEFL Required
- Eminent International Faculty
- Career Support & Job Assistance
- Real-world Projects & Case Studies
- Hands-on approach to ensure success
- Live Projects & Case Studies
- Global Certification by Lexford International University
- Access to curated jobs
- Data Science
- Science Landscape
- Program Highlights
- Why Hntrix
- Benefits
- Application
- FAQ
Data Science
Learn how to analyze, interpret, and transform data into actionable insights./p>
The Data Science & Analytics Bootcamp is a comprehensive, industry-focused program designed for students, graduates, and working professionals who want to build a strong career in data-driven fields. This program covers key domains such as Data Analysis, Machine Learning, Artificial Intelligence, and Business Intelligence tools. With a strong focus on real-world applications, learners will gain practical exposure to tools like Python, SQL, Tableau, and Power BI. Participants will work on real datasets, industry case studies, and live projects to develop problem-solving skills and analytical thinking.
Why Choose Data Science & Analytics ?
Data is the key to making good business decisions.
Data Science sector has witnessed a massive hike of 650%, far outpacing other sectors.
Jobs are open for candidates with 0-5 years experience.
The 2026 global estimate calls for 2.7 million job postings for analytics and data science roles.
The Global Data Science market is projected to advance at a CAGR of 39% to reach $195 Billion.
Globally to become one of the top five skills for jobs in 2026.
Program Highlights
See which benefits you can derive from joining this program.
Online Program
- Minimum 3 month online program
- Industry Expert Mentor
- Highly Experienced Faculties
Collaborations
- This allows students to keep updated with the global learning pedagogy in Birchwood University.
Dedicated Support Team for your Academic Journey
- Industry Experts Live Sessions
- Grievance Redressal System
- Dedicated Tech & Academic Support on how to leverage the platform features.
Become Job-ready
- Real-world case studies to build practical skills
- Hands-on exposure to analytics tools & techniques such as Python, Tableau, SQL
- Learn industry insights through multiple industry knowledge sessions
Program Curriculum
An overview of what you will learn from this program.
- Gain insight into the Python Programming language with this introductory course. An essential programming language for data analysis, Python, Programming is a fundamental key to becoming a successful Data Science professional. In this course, you will learn how to write python code, learn about Python's data structures, and create your functions. After the completion of this course, you can represent yourself as an ideal candidate for python Developer
- Understand how to explore and analyze datasets to discover patterns, trends, and insights. Learn data cleaning, transformation, and visualization techniques using tools like Matplotlib and Seaborn.
- Build predictive models using Machine Learning algorithms. Learn concepts like regression, classification, clustering, and model evaluation to solve real-world business problems.
- Get introduced to AI concepts including neural networks and deep learning basics. Explore how AI is used in real-world applications across industries.
- Work on a real-world, end-to-end project using actual datasets. Apply all learned skills to solve business problems and build a strong portfolio for job opportunities.
- In this course, students will learn how to manage the Data Effectively using My SQL Work Bench. Students will come to know how to Apply Certain Joins techniques, How to manipulate the data. Will be able comfortably design SQL queries to add data to the database, will be familiar with editing, deleting data from the database, and will be able to describe and develop Relational Algebra and Relational Calculus queries.
- Learn how to explore and understand datasets to uncover meaningful insights. This module covers data cleaning, handling missing values, and identifying patterns using statistical techniques. You will also create visualizations to better understand trends and support data-driven decision-making.
- Understand how to take your machine learning models from development to real-world applications. Learn the basics of model deployment, API integration, and how to make models accessible for business use in production environments.
- Develop skills to create interactive dashboards and visual reports using Tableau and Power BI. Learn how to present complex data in a simple and impactful way, helping businesses make better and faster decisions.
Capstone Projects
Test your skills and mettle with a capstone project.
Election Outcome Prediction
Analyze historical election data to predict election outcomes and understand factors influencing voter behavior.
E-commerce
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Web & Social Media
Techniques used: Topic Modeling using 9 Latent Dirichlet Allocation. K-Means & Hierarchical Clustering
Banking
Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART
Supply Chain
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Healthcare
Techniques used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM
Retail
Techniques used: Market Basket Analysis, Brand Loyalty Analysis
Insurance
Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis
Entrepreneurship /Start Ups
Techniques used: Univariate and Bivariate Analysis, Multinomial Logistic Regression, Random Forest
Finance & Accounts
Techniques used: Conditional Inference Tree, Logistic Regression, CART and Random Forest
Why HNtrix
Enrol with leading global online educational course provider.
Data Science Batch Profile
Experience Distribution
Our students include freshers and experienced professionals from across industries, functions and backgrounds.
Benefits
Learn from leading academicians and several experienced industry practitioners from top organizations.
Personalised workshops based on your proficiency level to help you get on par.
Mix of Live Classes & Recorded lectures for your convenience.
24*7 Student Support, Quick doubt resolution by industry experts
Roles
Offered
Trusted By Learners Across Top Companies
We Have Users For Our Data Science Program From Following Companies
Application Process
Enroll in the program with a simple online form.
Apply by filling a simple online application form
Admissions committee will review and shortlist.
Shortlisted candidates need to appear for an online aptitude test.
Screening call with Alumni/ Faculty
FAQ
Find answers to all your queries and doubts here.
