Learn From the Top Experts
Diploma In Data Science and AI
- Learn from Industry Experts
- Hands-on Projects + Capstone
- Cloud & AI Deployment Skills
- 100% Placement & Interview Support
Duration: 12 Months / 288 Hours
Mode: Hybrid (Online + Offline)
100% Placement Guarantee
Rating: 4.65 ★
(1242 ratings)
Level: Beginner Friendly
(1242 ratings)
Level: Beginner Friendly
Key Skills Covered
Build Skills That Companies Are Looking For
Our curriculum is designed to match real industry needs, so you're job-ready for roles at companies like TCS, Wipro, Google, and Infosys.
*Companies mentioned are examples of industry relevance. Logos shown for aspirational and educational purposes only.
Course Modules
Foundation & Setup
- Data science lifecycle overview
- Set up Python & Jupyter
- Master Git and GitHub
- Terminal & Linux basics
- Version control workflows
Python Setup
Jupyter Notebooks
Git & GitHub
Linux Commands
Version Control
Data Manipulation & Analysis
- Use NumPy & Pandas
- Clean & transform datasets
- Handle missing values
- EDA with visual insights
- Merge and encode data
NumPy
Pandas
Data Cleaning
EDA
Data Wrangling
Statistics & Machine Learning Foundations
- Understand statistical concepts
- Learn hypothesis testing
- Use regression algorithms
- Apply scikit-learn models
- Intro to supervised learning
Statistics
Hypothesis Testing
Linear Regression
Logistic Regression
Scikit-learn
Advanced Machine Learning
- Master ensemble methods
- Use SVM for classification
- Tune models effectively
- Explore unsupervised learning
- Detect anomalies in data
Random Forest
XGBoost
SVM
Model Tuning
Clustering
Deep Learning & Neural Networks
- Understand neural networks
- Build models with TensorFlow
- Use CNNs for images
- RNNs for sequence data
- Work with PyTorch
Deep Learning
TensorFlow
PyTorch
CNN
RNN
Natural Language Processing & Big Data
- Preprocess text data
- Perform sentiment analysis
- Use topic modeling
- Intro to Spark & Hadoop
- Process real-time NLP
NLP
Text Classification
Topic Modeling
Big Data Tools
Real-time Processing
Cloud Computing & Deployment
- Deploy with Flask/FastAPI
- Use Docker containers
- Deploy to AWS/GCP/Azure
- Monitor ML apps live
- Scale ML solutions
Model Deployment
Flask
FastAPI
Docker
Cloud Platforms
Advanced Topics & Specialization
- Forecast time-series data
- Explore recommendation systems
- Learn computer vision basics
- Intro to reinforcement learning
- Understand ethical AI
Time-Series
Recommender Systems
Computer Vision
Reinforcement Learning
AI Ethics
Business Intelligence & Advanced Visualization
- Build BI dashboards
- Use Tableau & Power BI
- Automate reporting tasks
- Visual storytelling skills
- Link data with KPIs
Power BI
Tableau
Data Storytelling
Automation
KPI Analysis
Capstone Project Development
- Define real-world problem
- Collect and clean data
- Build end-to-end model
- Write project documentation
- Present project findings
Project Planning
Data Collection
Model Building
Documentation
Presentation Skills
Major Projects & Portfolio Building
- Build domain-specific projects
- Follow agile methodology
- Host projects on GitHub
- Create portfolio website
- Document case studies
Portfolio Projects
GitHub
Agile Workflow
Web Hosting
Technical Documentation
Placement Preparation & Career Development
- Prepare for interviews
- Solve mock problems
- Resume & LinkedIn polish
- Mock interviews practice
- Career mentorship sessions
Interview Skills
Mock Testing
Resume Building
LinkedIn Optimization
Career Coaching
Scroll Right
What Have We Achieved?
- DizitalAdda is a trusted name in tech training, with over 5,000+ successful students and an 85% placement rate. Our hands-on approach and industry-relevant curriculum have helped students land jobs at top companies like Google, Amazon, and Microsoft. We equip learners with the skills needed to excel in the ever-evolving tech world.
- 1000+ students trained in AI & ML tools : Learners gain hands-on mastery in Python, SQL, Scikit-learn, and TensorFlow — covering EDA, machine learning, deep learning, NLP, and BI tools to build real-world, production-ready models.
- Proven placements in Data Science roles : Alumni succeed as Data Scientists and BI Analysts. Projects include predictive modeling, dashboarding, and NLP applications. The program includes portfolio building, career support, and mock interview prep.
Lets Do a Quick Campus Tour!
What Our Learners Say
"This course was a game-changer. The real-world datasets and expert guidance helped me secure my first Data Scientist role!"
"Beyond just theory — we tackled complex data challenges and built predictive models! The practical approach made learning so much more effective."
"I loved the hybrid mode. It gave me the flexibility to study remotely while still engaging in live, interactive problem-solving sessions with instructors."
Frequently Asked Questions
Frequently Asked Questions offers quick answers to common queries, guiding users through features effortlessly.