Data Science
Learn Python, Statistics, Data Analysis, Machine Learning and AI fundamentals to build intelligent, data-driven solutions.
Enroll in this Course
Kickstart your career with industry-ready training.
🔒 100% Safe · No spam · Instant callback
0
Students Trained0
Hiring Companies0
Years Experience0
Placement RateWhy Choose This Course
Everything you need to go from learner to industry-ready professional.
Industry-Oriented Training
Learn practical Data Science concepts used in real-world applications.
Python Expertise
Develop strong Python programming skills for data-driven development.
Real-World Datasets
Work with practical datasets and solve real business problems.
Machine Learning
Build predictive models using industry-relevant ML algorithms.
Hands-On Projects
Develop portfolio-ready Data Science and Machine Learning projects.
AI Fundamentals
Understand modern AI, neural networks and deep learning concepts.
Career Preparation
Build practical skills and prepare for Data Science interviews.
Skills You Will Learn
Hands-on training across the tools that employers actually hire for.
Course Curriculum
A structured, module-wise path from fundamentals to job-ready mastery.
1 Module 1: Python ProgrammingBuild a strong Python foundation for Data Science and Machine Learning.
- Python Basics
- Functions
- OOP
- File Handling
- Modules
2 Module 2: NumPyPerform numerical computing and work with multidimensional datasets.
- Arrays
- Indexing
- Slicing
- Broadcasting
- Array Operations
3 Module 3: PandasClean, transform and process real-world datasets efficiently.
- DataFrames
- Data Cleaning
- Filtering
- GroupBy
- Merge
- Join
4 Module 4: StatisticsUnderstand statistical concepts required for data science and machine learning.
- Probability
- Mean
- Median
- Variance
- Standard Deviation
- Correlation
5 Module 5: Exploratory Data AnalysisDiscover patterns, trends and relationships within datasets.
- Data Cleaning
- Outliers
- Feature Analysis
- Pattern Detection
6 Module 6: Data VisualizationPresent data insights using effective visualizations.
- Matplotlib
- Seaborn
- Charts
- Heatmaps
- Statistical Plots
7 Module 7: Machine LearningBuild predictive models using supervised and unsupervised learning.
- Regression
- Classification
- Decision Tree
- Random Forest
- KNN
- Clustering
8 Module 8: AI FundamentalsUnderstand artificial intelligence, neural networks and modern AI concepts.
- AI
- Neural Networks
- Deep Learning
- Generative AI
9 Module 9: ProjectsApply Data Science concepts to practical real-world problems.
- Prediction
- Classification
- Clustering
- Machine Learning
Your Learning Roadmap
Python Foundation
Data Processing
Statistics
Data Exploration
Machine Learning
AI Fundamentals
Projects
Career Preparation
Projects You Will Build
Real, portfolio-ready projects that prove your skills to recruiters.
Placement & Packages
Where our graduates land and what they earn.
Data Scientist
Analyze data and develop machine learning solutions for business problems.
Junior Data Scientist
Work with datasets, Python and machine learning models.
Machine Learning Engineer
Develop and optimize machine learning models for real-world applications.
AI/ML Associate
Assist in developing AI and machine learning solutions.
Python Data Scientist
Use Python and machine learning techniques to build data-driven solutions.
Meet Your Trainer
Chaitali Patil
Experienced Data Science professional specializing in Python, Pandas, NumPy, statistics, machine learning, data visualization and real-world analytics projects, with a practical and project-focused approach to training.
Your Certification
Industry-Recognised & Verifiable
- Awarded on successful course & project completion
- Shareable on LinkedIn & your resume
- Unique verification ID for authenticity
- Backed by NMU Skill Development Center affiliation
Upcoming Batches
Reserve your seat before the batch fills up.
| Start Date | Timing | Type | Mode | Action |
|---|---|---|---|---|
| Every Monday | 10:00 AM - 12:00 PM | Weekday | Offline / Online | |
| Every Saturday | 11:00 AM - 02:00 PM | Weekend | Offline / Online | |
| Every Wednesday | 06:00 PM - 08:00 PM | Weekday | Online | |
| Every Sunday | 10:00 AM - 01:00 PM | Weekend | Offline |
Frequently Asked Questions
Who can join this course?
Anyone interested can join — students, graduates and working professionals. Basic computer knowledge is enough to begin.
Do I need prior experience?
No. The course starts from the fundamentals and gradually moves to advanced, job-ready topics.
Is this course offline or online?
Both. You can attend in our classroom or join live online batches — whichever suits you.
What is the course duration?
The duration is 3. Weekday and weekend batches are available.
Will I get a certificate?
Yes. You receive an industry-recognised, verifiable Certificate of Completion after finishing the course and project.
Do you provide placement assistance?
Yes. Our placement cell supports you with resume building, mock interviews and access to 300+ hiring partners.
Are EMI / installment options available?
Yes, flexible EMI options are available. Talk to our admissions team for details.
Will I work on real projects?
Absolutely. Live, portfolio-ready projects are a core part of the curriculum.
Can I get a free demo class?
Yes. Book a free demo class to experience the teaching before enrolling.
What if I miss a class?
All sessions are recorded, so you can revisit any class anytime with lifetime access.
Do you offer doubt-solving support?
Yes, dedicated doubt-solving and mentor support continues even after the course ends.
Which tools and technologies are covered?
Current, in-demand tools and frameworks aligned with what recruiters are hiring for.
Is the fee refundable?
Refund terms are shared during admission. Our counsellors will explain the policy clearly.
How do I enroll?
Click Apply Now or Register, fill the short form, and our admissions team will guide you through the next steps.
Who are the trainers?
Experienced industry professionals who mentor you through real projects and interview preparation.