Your First Step to a Career in Data Science.
Launch your career with this hands-on Data Science Course. Master Python, Machine Learning, and AI tools to become job-ready in just 4+ months
100% Live
Training
2 Years
Recordings
Free
Addon Sessions
Real Time
Projects
The Data-Driven Career You Deserve
Hiring Demand
Data Science is one of the fastest-growing fields with 11 million global jobs by 2026.
Salary Growth
Data Scientists earn ₹6–10 LPA (freshers) and ₹18–30 LPA (experienced professionals) in India.
Future-Proof Skills
Combine core data science (Python, ML, SQL) with AI-powered tools for future-ready skills.
Global Opportunities
High demand across Finance, Healthcare, Retail, E-commerce, IT, Startups worldwide.
Real Projects
Hands-on with prediction models, dashboards, NLP, and AI-powered analytics.
Companies That Want to Hire You
The Data Science Course That Solves Your Struggles
Career Confusion
- Data Analyst or Data Scientist – which role to aim for?
- Learn both skills in one structured roadmap.
Coding Fear
- Step-by-step training with real examples & guided coding.
Too Many Tools
- Jupyter, SQL, Pandas, TensorFlow – overwhelming?
- Learn with structured flow and projects.
Interview Stress
- Can’t handle scenario-based data questions?
- Mock interviews & case studies prepare you.
No Portfolio
- Nothing to show recruiters?
- Build 7+ end-to-end projects with datasets & AI integration.
What Makes This Course Your Competitive Advantage
👉 Module Wise Quizzes, Assignments, and Practice Questions
👉 100% Placement assistance
👉 Industry professionals with 10+ years of experience
👉 Live Chat support assistance
👉 Access to session recordings for 2 years
👉 EMI Option also available with specified cards
👉 Get ₹10,000 Worth of Free Career Booster Add-On Sessions
👉 Dedicated Job Updates
👉 100% Live Training in Telugu
👉 Industry Ready Training
👉 Interview Questions & Study Materials
👉 Resume & Linked In Preparation
Your Roadmap to Master Data Science Course
1. Python
Complete Python Introduction
Python Interpreter & Installation (PyCharm, Anaconda)
Data Types: Numbers, Strings, Lists, Dictionaries, Tuples, Sets
Control Flow: if-else, loops, comprehensions
Functions: def, lambda, scopes, arguments
Modules & Packages: import, namespaces, reload
Classes & OOP: Inheritance, Polymorphism, Special Methods
Exception Handling & Custom Exceptions
Regular Expressions in Python
2. Data Libraries
Numpy: Arrays, Indexing, Transposition, Processing
Pandas: Series, DataFrames, Reading & Cleaning Data
Data Wrangling, Selection & Extraction with Pandas
3. Mathematics
Linear Algebra
Statistics
Probability
Differential Calculus
4. Machine Learning
ML Introduction, Use Cases, System Types
Supervised vs Unsupervised Learning
Model Types: Instance-based, Model-based
Overfitting & Underfitting
Full ML Pipeline Overview
5. Classification Models
Binary Classifier & Performance Metrics
Confusion Matrix, Precision, Recall
Multi-Class, Multi-Label, Multi-Output Classification
6. Regression Models
Linear Regression, Gradient Descent Variants
Polynomial Regression
Regularization: Ridge, Lasso, Early Stopping
7. Support Vector Machines (SVM)
Linear SVM Classification
Hard vs Soft Margin
Non-linear SVM
SVM for Regression
8. Decision Trees
Decision Tree Training & Visualization
CART Algorithm
Gini vs Entropy
Hyperparameter Regularization
9. Random Forests & Ensemble Models
Voting Classifiers, Bagging, Pasting
Random Forests, Extra Trees
Boosting: AdaBoost, Gradient Boost
Stacking & Feature Importance
10. Unsupervised Learning
Clustering Techniques
K-Means, DBSCAN
Preprocessing & Semi-Supervised Learning via Clustering
11. Deep Learning
Biological Neurons & Perceptron
MLPs: Regression & Classification
Keras: Sequential & Functional APIs
Saving & Loading Models
12. Deep Learning Advanced Concepts
Hyperparameter Tuning: Layers, Neurons, Batch Size
Vanishing/Exploding Gradients & Initialization
Batch Normalization, Gradient Clipping
Regularization: L1, L2, Dropout, Max-Norm
13. Transfer Learning & Optimization
Unsupervised Pretraining
Faster Optimizers
Overfitting Prevention
Monte Carlo Dropout
14. TensorFlow & Data Preprocessing
TensorFlow Tour
Data API: Shuffling, Prefetching, Transformations
Input Feature Processing
Categorical Encoding: One-Hot, Embeddings
Keras Preprocessing Layers
Real-World Projects That Get You Hired
Obesity Challenge (AI Prediction)
Predicts obesity risk using survey data and machine learning with Random Forest, SVM, ANN, and KNN on 1610 individuals.
Financial Risk Prediction for Loan Approval
Analyzes a synthetic dataset (20,000 records) for predicting loan approval and financial risk scores.
Analysis of Capitals and Universities Data
Analyzes CSV data of countries and universities to explore geographical and educational trends.
Online Shopping System
Simulates a basic shopping system using Python OOP.
Analytic American Association
A law firm management system to track clients, lawyers, tasks, and billing.
Sales Data Insights
Performs end-to-end analysis on sales data using Pandas and NumPy.
Melbourne Housing Snapshot
Analyzes real estate trends from Melbourne’s property sale dataset.
Watch the Demo of Our Data Science Course in Telugu to Get a Preview of the Topics Covered.
Stories That Prove Your Success
Your Future in Data Science
Freshers
Junior Data Analyst – ₹4–7 LPA
Python Developer (Data Focused) – ₹4–7 LPA
Business Analyst (Entry Level) – ₹3.5–6 LPA
AI/ML Trainee Engineer – ₹4–7 LPA
Intern / Data Associate – ₹2–4 LPA
Experienced
Data Scientist / Specialist – ₹12–22 LPA
Machine Learning Engineer – ₹12–20 LPA
AI-Powered Analytics Specialist – ₹12–25 LPA
Senior BI / Data Visualization Consultant – ₹10–20 LPA
Freelance Data Science Consultant – ₹1L–2.5L per month (project-based)
Your Path to Mastery with This Data Science Course
- Time : 8:00-9:00PM , 4+ Months Duration
- Start Date: 26th May 2025
Unlock Your ₹10,000 Career-Ready Bonus
Resume Building
Create strong resumes with expert guidance.
Job Updates
Get access to latest openings & hiring alerts.
Interview Prep
Mock interviews and communication training.
LinkedIn Boost
Optimize your LinkedIn for visibility.
Career Transition
Guidance to shift domains or roles confidently.
Freelancing
Learn how to start and grow as a freelancer.
Our Results Speak for Themselves
At Frontlines Edutech, we don’t just teach we transform careers. Our Data Science Course is designed to give you the practical skills and confidence needed to not only land a job but also excel in your chosen field.
Frequently Asked Questions
1. What is the Data Science course all about?
This course covers Python, Statistics, SQL, Machine Learning, and AI-powered tools to help you analyze and visualize data, build predictive models, and become job-ready as a Data Analyst or Data Scientist.
2. Who should take this Data Science course?
Freshers who want to start a career in Data Analytics / Data Science.
IT & Non-IT professionals looking for a career switch into data roles.
Students, working professionals, and freelancers who want job-ready skills in analytics and AI.
3. Do I need prior programming experience?
No. The course starts from basics of Python and SQL, making it beginner-friendly. Step-by-step guidance ensures anyone can learn, even without coding experience.
4. Will I receive job placement assistance?
Yes! The course includes placement support such as resume building, LinkedIn profile optimization, interview preparation, and access to job updates.
5. What if I miss a live session?
All sessions are recorded, and you will have access to these recordings along with downloadable resources, ensuring you can catch up anytime.
6. Do you offer EMI payment options?
Yes, we offer flexible payment options, including EMI plans, to make the course accessible for everyone.
Get Certified
Yes, you’ll get a Certificate representing your Industry Readiness once you submit your projects and clear the pre placement test.
Approved by AICTE
Certified by ISO 21001:2018
Recognized by Startup India
Registered under MSME
