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Data Analytics & Data Science

Transform Data into Powerful Insights

Master data analytics with our comprehensive courses. From data visualization to predictive modeling, turn raw data into strategic business decisions and drive organizational success.

50+ AI Courses
10k+ Students
95% Success Rate
Data Analysis
Data Science
Dashboarding
Hands-on Projects
Data Analysis
Data Science
Dashboarding

Data Courses Collection

Choose the best for your future

3 Months

Certification in Data Analysis and AI

Basics of Data Analytics, Excel, and Python Fundamentals

Beginner 35,000 INR
6 Months

Advanced Certification in Data Analysis and AI

Get in depth knowledge of the core concepts of Data Analysis and Advanced Excel

Advanced 65,000 INR
12 Months

DIPLOMA IN DATA ANALYTICS AND AI

Foundations of Data Analytics to Industry Use Cases with tools like TensorFlow and SQL

Expert 1,35,000 INR
6 Months

ADVANCED CERTIFICATION IN DATA SCIENCE AND AI

Dive into deep learning, neural networks, NLP, and AI model deployment with Python and TensorFlow

Intermediate 65,000 INR
12 Months

DIPLOMA IN DATA SCIENCE AND AI

Master data analysis, visualization, and statistical modeling using Python,SQL, and machine learning tools

Beginner 1,35,000 INR
14 Weeks

Reinforcement Learning

Agent-based learning, Q-learning, and policy optimization

Advanced $549
Dizzital Adda Campus
15k+ Square Feet
24/7 Lab Access

Visit Our Data Innovation Campus

Experience our state-of-the-art Data learning environment where innovation meets education. Our campus features cutting-edge labs, collaborative spaces, and technology that brings data to life.

Explore Data Courses
Success Stories

Our Students Are Changing the World

From career transitions to breakthrough innovations, our Data Analytics and Data Science students are making their mark across industries worldwide.

Data Scientist

Manik Aggarwal

Lead Data Scientist at Netflix

"From zero programming knowledge to leading AI initiatives at Netflix. The hands-on approach and mentorship made all the difference in my learning journey."
450% Salary Increase
4 Months to Job
Data Analyst

Dr. Priya Patel

Data Analyst at OpenAI

"The deep learning course gave me the foundation to pursue my PhD and eventually join OpenAI's research team. The projects were incredibly relevant to real-world applications."
5 Papers Published
2 Years to PhD
Entrepreneur

Jiya Sharma

CEO & Founder of Metyis

"The Data Analysis course inspired me to start my own company. We've now raised $5M in funding and our Daa solutions are used by Fortune 500 companies."
$5M Funding Raised
1 Year to Launch
Trusted By Industry Leaders

Our Students Work At Top Companies

Join thousands of professionals who have transformed their careers and now work at the world's leading technology companies.

95% Job Placement Rate
4 LPA Average Starting Salary
500+ Industry Partners
50+ Countries Reached

Ready to write your own success story?

Start Your Data Journey
Industry-Standard Tools

Data Analytics Tools & Technologies You'll Master

Learn the same powerful tools and platforms used by top data analysts and business intelligence professionals worldwide. From beginner-friendly interfaces to advanced analytical environments.

Programming Languages

Python
R
SQL
JavaScript

Business Intelligence

Power BI
Tableau
Looker
QlikView

Data Science Tools

Pandas
NumPy
Matplotlib
Plotly

Databases & Platforms

MySQL
PostgreSQL
MongoDB
Snowflake

Statistical Analysis & ML

Scikit-learn
SPSS
SAS
Stata

Web Analytics & Reporting

Google Analytics
Adobe Analytics
Mixpanel
Hotjar
Hands-On Projects

Build Real-World Data Science & Analytics Projects

Master both data analytics and data science through hands-on projects. Build machine learning models, create business intelligence dashboards, and develop end-to-end data solutions that solve real business problems.

CLV: $2,400
Churn Rate: 8.5%
Satisfaction: 94%
Business Intelligence

Executive Sales Dashboard & KPI Analytics

Create a comprehensive business intelligence solution with interactive dashboards, automated reporting, and real-time KPI monitoring. Connect multiple data sources and provide actionable insights for executive decision-making.

Power BI SQL Server Python DAX
Interactive data visualizations
Automated report generation
Real-time KPI monitoring
3-4 weeks
Sales Performance
Product Insights
Top Seller: Electronics
Data Science

Recommendation System with Deep Learning

Build a sophisticated recommendation engine using collaborative filtering, content-based filtering, and deep neural networks. Implement matrix factorization, autoencoders, and hybrid recommendation approaches for personalized user experiences.

Python TensorFlow PyTorch Keras
Neural collaborative filtering
Autoencoder-based recommendations
A/B testing framework
5-7 weeks
Normal Transaction
Fraud Detected: 97%
⚠️ Alert: Suspicious Activity
Data Analytics

Financial Risk Assessment & Portfolio Analytics

Create a comprehensive financial analytics platform for risk assessment, portfolio optimization, and market analysis. Build automated reports, risk scoring models, and interactive dashboards for investment decision-making.

R Tableau SQL Bloomberg API
Value-at-Risk (VaR) calculations
Portfolio optimization algorithms
Stress testing & scenario analysis
6-8 weeks
AI Score: 87%
Data Science

Natural Language Processing for Sentiment Analysis

Build an advanced NLP system for social media sentiment analysis and text classification. Implement transformer models, BERT fine-tuning, and real-time text processing pipelines for brand monitoring and customer feedback analysis.

Python Transformers BERT spaCy NLTK
BERT model fine-tuning
Real-time text processing
Multi-language sentiment analysis
4-5 weeks
Normal: 82%
Abnormal: 18%
Data Analytics

Healthcare Analytics & Patient Outcome Analysis

Build a comprehensive healthcare analytics platform for patient outcome analysis, treatment effectiveness tracking, and operational efficiency optimization. Create predictive models for readmission risk and resource allocation.

Tableau SQL R EPIC API
Patient outcome tracking
Readmission risk modeling
Resource utilization analysis
7-9 weeks
Frequently Asked Questions

Got Questions? We've Got Answers

Find answers to the most common questions about our AI courses, learning process, and career outcomes.

What makes Dizzital Adda's AI courses different from others?

Our courses combine cutting-edge theory with hands-on practice. You'll work on real-world projects using industry-standard tools like TensorFlow, PyTorch, and OpenCV. Our instructors are industry professionals from companies like Google, Microsoft, and OpenAI, ensuring you learn the most current and practical skills.

Do I need any prior programming experience to start?

No prior AI experience is required, but basic programming knowledge is helpful. We offer beginner-friendly courses like "Data Science with Python" that start from the fundamentals. Our learning path is designed to take you from beginner to advanced level systematically.

How long does it take to complete the AI Mastery Program?

The complete AI Mastery Program takes 12 months to finish. However, you can learn at your own pace. Individual courses range from 4-14 weeks depending on the complexity. Most students dedicate 10-15 hours per week to their studies.

What kind of support do students receive?

Students get comprehensive support including 1-on-1 mentorship sessions, 24/7 community access, project reviews, career guidance, and technical support. Our dedicated student success team ensures you stay on track and achieve your learning goals.

Which course should I start with as a beginner?

For beginners, we recommend starting with "Data Science with Python" or "Machine Learning Fundamentals." These courses provide a solid foundation in programming and core AI concepts. You can then progress to more specialized areas like Computer Vision or NLP based on your interests.

Are the courses updated with the latest AI trends?

Yes! Our curriculum is updated quarterly to include the latest developments in AI. We cover emerging technologies like GPT models, diffusion models, and the latest research from top AI labs. Our instructors actively work in the field and bring cutting-edge insights to the classroom.

What projects will I work on during the courses?

You'll build real-world projects including traffic monitoring systems, intelligent chatbots, recommendation engines, fraud detection systems, game-playing AI agents, and medical image analysis tools. Each project is designed to simulate actual industry challenges and will become part of your professional portfolio.

Can I access course materials after completion?

Yes! You get lifetime access to all course materials, including videos, code repositories, datasets, and project templates. You'll also receive free access to course updates and new content additions for one year after completion.

What hardware/software do I need for the courses?

You'll need a computer with at least 8GB RAM (16GB recommended) and a stable internet connection. We provide access to cloud-based GPU instances for intensive training tasks. All software tools (Python, TensorFlow, PyTorch) are free and open-source. We'll guide you through the complete setup process.

Do you provide access to GPUs for training models?

Yes! All students get access to our cloud-based GPU clusters with NVIDIA A100 and V100 GPUs. You'll receive monthly computing credits sufficient for all course projects. We also teach you how to use Google Colab, AWS, and other cloud platforms for your future projects.

What programming languages are covered?

Python is our primary language for AI/ML development. We also cover R for statistical analysis, SQL for data manipulation, and JavaScript for web-based AI applications. You'll learn to use essential libraries like NumPy, Pandas, TensorFlow, PyTorch, and OpenCV.

How do you handle version updates of AI frameworks?

We maintain our curriculum with the latest stable versions of all frameworks. When major updates are released (like TensorFlow 3.0 or PyTorch 2.0), we provide migration guides and supplementary content. Our version-controlled environments ensure consistency across all student projects.

What career opportunities are available after completion?

Graduates work as Data Scientists, ML Engineers, AI Researchers, Computer Vision Engineers, NLP Engineers, and AI Product Managers at companies like Google, Microsoft, Netflix, and startups. Average starting salaries range from $80k-$150k depending on location and experience level.

Do you provide job placement assistance?

Yes! Our career services include resume reviews, interview preparation, portfolio development, and direct connections with our hiring partner companies. We have a 95% job placement rate within 6 months of course completion. Our alumni network spans over 500 companies globally.

How strong is your alumni network?

Our alumni network includes over 10,000 professionals working at top tech companies worldwide. We host monthly networking events, maintain an active alumni Slack community, and facilitate mentorship connections. Many alumni have started their own AI companies and actively recruit from our graduate pool.

Can I transition from a non-tech background?

Absolutely! Many of our successful graduates come from diverse backgrounds including finance, healthcare, marketing, and liberal arts. We provide extra support for career changers, including foundational programming courses and industry-specific AI applications relevant to your background.

What payment options are available?

We offer flexible payment options including one-time payment, monthly installments, and income-share agreements (ISA). You can pay the full amount upfront for maximum savings, spread payments over 6-12 months, or opt for our ISA program where you pay nothing until you land a job.

Do you offer any scholarships or financial aid?

Yes! We offer merit-based scholarships, diversity scholarships, and need-based financial aid. Up to 50% tuition reduction is available for qualifying candidates. We also partner with organizations to sponsor students from underrepresented groups in tech.

What is included in the course fee?

Your course fee includes all video content, project materials, datasets, cloud computing credits, 1-on-1 mentoring sessions, career services, community access, and industry certification. There are no hidden fees or additional costs for software, tools, or computing resources.

Is there a money-back guarantee?

Yes! We offer a 30-day money-back guarantee for all courses. If you're not completely satisfied within the first 30 days, we'll provide a full refund, no questions asked. We're confident in the quality of our education and want you to feel secure in your investment.