Prof. Arun Kumar Singh
Research Scientist (AI) – AI Research Centre · 8+ years
All courses
COURSE · ENROLMENT OPEN
Data Science with Python.
Learn data science with Python online using NumPy, pandas, SQL, statistics and scikit-learn. Clean real datasets, build machine learning models and present insights employers value.
₹2,499full program · beginner to job-ready
Secure payment by Razorpay. By enrolling you accept the terms.
WHO THIS COURSE IS FOR
Built for your
next step.
Graduates from any stream, analysts and early-career professionals who want to move into data science and machine learning roles.
WHAT YOU’LL BE ABLE TO DO
- Clean, transform and analyse real-world datasets using pandas, NumPy and SQL.
- Apply descriptive statistics and hypothesis testing to answer business questions with evidence.
- Build, tune and evaluate regression, classification and clustering models with scikit-learn.
- Communicate findings through clear charts, Jupyter notebooks and concise data stories.
- Deploy a machine learning model as an interactive Streamlit app for your portfolio.
CURRICULUM · FULL PROGRAM
10 modules,
all included.
Work through each module on your dashboard. Finish them all to generate your internship certificate, offer letter and letter of recommendation.
- 01
Python for Data Science
Python essentials refresher · Jupyter notebooks · Working with libraries
- 02
Numerical Computing with NumPy
Arrays and vectorisation · Indexing and broadcasting · Linear algebra basics
- 03
Data Wrangling with pandas
DataFrames and Series · Cleaning and handling missing data · Grouping, merging and reshaping
- 04
SQL for Data Science
SELECT, filtering and joins · Aggregations and window functions · Querying databases from Python
- 05
Statistics & Probability
Descriptive statistics · Probability distributions · Hypothesis testing and A/B tests
- 06
Exploratory Data Analysis & Visualisation
EDA workflow · Matplotlib and Seaborn · Communicating insights
- 07
Supervised Learning with scikit-learn
Linear and logistic regression · Decision trees and random forests · Gradient boosting with XGBoost
- 08
Unsupervised Learning & Feature Engineering
K-means and hierarchical clustering · PCA · Feature encoding and scaling
- 09
Model Evaluation & Deployment
Metrics and cross-validation · Hyperparameter tuning · Deploying models with Streamlit
- 10
Capstone: End-to-End Data Science Project
Framing the business problem · Building and evaluating the model · Presenting findings to stakeholders
CAREER OUTLOOK
Where this
can take you.
₹5 - ₹14 LPATypical salary range for these roles in India
28%Job growth
3 monthsProgram length at 12 hrs/week
WHY 01
Works on real datasets from day one
WHY 02
Covers the full data science workflow end to end
WHY 03
Prepares for data scientist and ML analyst roles
Companies hiring for these roles
YOUR MENTORS
Learn from
industry experts.
WHAT’S INCLUDED
Everything you need
to get hired.
Mentorship & community
Learn from mentors with industry experience, inside a vibrant peer network for learning and growth.
Real-world projects
Gain practical experience through hands-on projects solving industry-specific problems.
Tools & technologies
Master the tools and skills that keep you job-ready.
Career support
Strategic placement support, resume building, and interview prep to land your dream role.
IN THE FULL PROGRAM · ₹2,499
- Live & recorded sessions
- All 10 modules, beginner to advanced
- 3 real-world projects (resume-worthy)
- Industry-recognised certification
- Internship certificate, offer letter & recommendation
- Dedicated doubt-clearing sessions
- 1:1 mentorship from industry experts
- Placement assistance & job readiness score
- Mock interviews to sharpen your skills
- Two years of alumni support
- Resume & LinkedIn review: build a strong professional profile.
- Hackathon access: take part in real-world coding competitions.
- Internship referrals: get connected to top companies.
- Soft skills & communication training: learn workplace communication.
HOW WE COMPARE
Learning that
leads to earning.
LEARNING TO EARNING
Invezoro
Get your dream job
- About 12 hours of effort a week
- 3-month program
- 2 years of alumni support
- Live classes by industry experts
- Industry-aligned curriculum (accredited by Wipro & Nasscom)
- Active placement support
PAY AFTER PLACEMENT
Courses
High investment
- 50–60 hours of effort a week
- 10–12 month program
- No alumni support
- Live class with teachers
- Industry-aligned curriculum, no accreditation
- Active placement support
ONLINE
Degrees
Just a diploma
- 30–40 hours of effort a week
- 12–18 month program
- No alumni support
- Live class with teachers
- College curriculum, not industry aligned
- Access to job boards
ONLINE
Certifications
Low impact
- 3–8 hours of effort a week
- 1–2 month program
- No alumni support
- No live class
- Only specific topics in the curriculum
- No placement support
QUESTIONS
Before you
enrol.
Twenty career-focused tech courses, including data science, AI and generative AI, full stack (Java and MERN), cloud, cybersecurity, mobile apps, UI/UX and testing. Each course is one complete program that takes you from the basics to job-ready.
Every course is a 3-month program at about 12 hours a week, covering all 10 modules for ₹2,499. You can learn at your own pace with lifetime access to course materials.
Yes. We provide comprehensive job placement support including resume building, interview preparation, and direct connections with hiring partners.
Yes. We’ve partnered with leading tech companies to ensure our curriculum and certifications meet industry standards and employer expectations.
Our courses combine live online classes, recorded sessions, hands-on projects, and 1:1 mentorship.
Another question?
Ready to transform
your career?
Data Science with Python: 3 months, 10 modules, ₹2,499. Enrolment is open.