Students
Build real-world data skills and stand out in the job market.
Beginner-FriendlyData Science Course
📅 4 Months | Beginner to Intermediate
🚀 Batch Starts Soon
Learn how to analyze data, build insights, and solve real-world problems using data. Transform raw data into actionable intelligence that drives business decisions.
Program
4M
Projects
3+
Support
1:1
Placement
Yes
What is Data Science?
More than just numbers—it's about making smart decisions from data.
Data Science is the intersection of statistics, programming, and business acumen. In this course, you'll learn to extract meaning from data, create predictive models, and communicate insights that matter to real organizations.
Why now? Every company is drowning in data but struggling to make sense of it. Data scientists are in high demand, commanding competitive salaries and working on problems that directly impact business outcomes. This course prepares you for exactly that.
You won't just memorize formulas. You'll work with real datasets, build real projects, and develop the practical skills that employers actually need. By the end of 4 months, you'll have a portfolio of projects that prove you can do this work.
Who Is This Course For?
Perfect for students, freshers, career switchers, and professionals.
Fresh Graduates
Bridge the gap between theory and industry practice in 4 months.
Beginner to IntermediateCareer Switchers
Start from fundamentals and accelerate into data science.
IntermediateWorking Professionals
Advance your career by adding data skills to your toolbox.
IntermediateCourse Structure Snapshot
Everything you need to know about how the course is organized.
Total Duration
4 Months
Mode
Classroom / Hybrid
Weekly Hours
20-24 Hours
Certificate
Completion Certificate
Skills You Will Master
Industry-relevant skills grouped into three core areas.
A. Core Data Skills
- Data analysis fundamentals
- Data cleaning & preparation
- Descriptive statistics
- Data quality assessment
B. Programming & Tools
- Python programming basics
- NumPy & Pandas libraries
- SQL for data extraction
- Data wrangling techniques
C. Analytics & Insights
- Data visualization (Matplotlib, Seaborn)
- Statistical analysis
- Business insight generation
- Presentation skills
Tools & Technologies You'll Use
The same tools used by data scientists at leading companies.
Python
Pandas
NumPy
SQL
Visualization Tools
Git & GitHub
Projects You Will Build
Real-world projects that simulate industry scenarios and build your portfolio.
Sales Data Analysis Dashboard
Analyze sales performance data, identify trends, and create visualizations that reveal business insights. This project teaches data cleaning, analysis, and presentation skills.
Customer Behavior Analysis
Segment customers based on purchasing patterns and predict future behavior. Learn clustering techniques, statistical analysis, and how to communicate actionable insights to stakeholders.
Exploratory Data Analysis (EDA) Report
Deep dive into a real dataset, uncover patterns, and document your findings. This project develops your data investigation skills and teaches you how to structure analytical reports.
✓ These projects simulate real industry scenarios and go directly into your professional portfolio.
How You Learn at LSA
Our proven methodology combines theory with hands-on practice.
1
Concept Clarity
Start with clear, practical explanations. Understand the "why" behind each concept before diving into the "how."
2
Hands-On Labs
Immediately apply what you learn. Every concept is reinforced with practical coding exercises and lab sessions.
3
Real-World Projects
Build actual projects with real data. These aren't toy examples—they're problems you'll encounter in professional settings.
4
Weekly Assessments
Regular evaluations keep you on track. Get feedback on your progress and adjust your learning approach.
5
Career Readiness
Beyond technical skills, we prepare you for the job market. Resume guidance, interview prep, and placement support included.
"If you can't build it, you haven't learned it."
Career Outcomes & Support
Clear paths to career advancement with comprehensive support.
Job Roles You'll Be Prepared For:
- Data Analyst
- Junior Data Scientist
- Business Analyst
- Analytics Engineer
Support We Provide:
- Resume and portfolio building
- Interview preparation and mock interviews
- Professional networking opportunities
- Internship connections and placement support
- Career mentorship from industry professionals
Note: While we provide extensive placement support and career guidance, we don't guarantee jobs. Your success depends on your effort, commitment, and market conditions. What we do guarantee is that you'll graduate job-ready with real skills and real projects to show employers.
Our Hiring Partners
Trusted companies that recruit our learners and support their career growth.
Student Gallery
Moments from our Data Science classroom - learning, collaborating, and building projects together.
Frequently Asked Questions
Find answers to common questions about the Data Science course.
No, you don't need prior programming experience. We start from fundamentals and build up from there.
However, comfort with basic math (percentages, averages, simple algebra) is helpful.
If you're worried, we offer a pre-course Python crash course to get you up to speed.
Absolutely. Everything in this course is designed with jobs in mind. The skills you learn,
the projects you build, and the career support you receive are all aligned toward getting you
hired. We partner with companies and have a strong placement track record.
You'll work on real-world projects like sales data analysis, customer behavior prediction,
and exploratory data analysis. These aren't toy examples—they're projects you can show employers.
You'll analyze real datasets, build visualizations, and deliver insights just like a professional data analyst would.
Yes. We provide comprehensive placement support including resume review, interview preparation,
mock interviews, and connections with hiring partners. However, we don't guarantee placement—your success
depends on your effort and the job market. What we do guarantee is that we'll prepare you thoroughly.
After completion, you receive a certificate of completion, a portfolio of projects, and ongoing
career support. Our career services team continues to help you with job applications, interview prep,
and networking. Many of our students land jobs within 2-3 months after completing the course.
Ready to Build a Career in Data Science?
Join hundreds of students who've transformed their careers with our proven methodology.