Data Science Course in Vizag
Build job-ready skills in Python, SQL, Statistics, Machine Learning, Data Visualization and Generative AI through practical, project-based training.
Learn. Practice. Build.
Develop practical skills through exercises, datasets, case studies and real-world projects.
Learn Data Science in Vizag and Build Your Future in AI & Analytics
Our Data Science Course in Vizag is designed to help students, graduates, working professionals and career switchers build practical skills in modern data science.
Learn Python, SQL, statistics, data analysis, visualization, machine learning and AI while developing practical projects for your portfolio.
Why Choose Our Data Science Training in Vizag?
A practical learning experience designed around skills, projects and career preparation.
Practical Learning
Learn concepts by working with practical exercises and real-world datasets.
Industry-Relevant Curriculum
Learn Python, SQL, statistics, machine learning, visualization and modern AI concepts.
Hands-On Projects
Build projects that demonstrate your data science and machine learning skills.
Expert Mentorship
Get guidance while learning concepts and applying them to practical problems.
Career Preparation
Prepare your resume, portfolio and technical skills for data-related opportunities.
Flexible Learning
Choose suitable learning options based on available weekday, weekend or online batches.
Data Science Course Curriculum
Learn the complete data science workflow from Python fundamentals to machine learning and AI.
01. Python for Data Science
- Python fundamentals
- Variables, data types and operators
- Conditions, loops and functions
- Object-oriented programming basics
- NumPy and Pandas
- Data manipulation
02. SQL & Databases
- SQL fundamentals
- SELECT queries
- Filtering and sorting
- Joins and aggregations
- Subqueries
- Window functions
03. Statistics for Data Science
- Descriptive statistics
- Probability
- Data distributions
- Mean, median and mode
- Variance and standard deviation
- Hypothesis testing
- Correlation and regression
04. Data Cleaning & Exploratory Data Analysis
- Missing values
- Duplicate data
- Outlier detection
- Data transformation
- Exploratory Data Analysis
- Business insights from data
05. Data Visualization
- Matplotlib
- Seaborn
- Charts and dashboards
- Data storytelling
- Communicating insights
06. Machine Learning
- Machine learning fundamentals
- Supervised learning
- Unsupervised learning
- Linear regression
- Logistic regression
- Decision trees
- Random forests
- Clustering
- Model evaluation
07. Advanced Machine Learning
- Ensemble methods
- Feature engineering
- Hyperparameter tuning
- Cross-validation
- ML pipelines
- Model optimization
08. Generative AI & Modern AI
- Generative AI fundamentals
- Large Language Models
- Prompt engineering
- AI-assisted data analysis
- Practical AI workflows
- Responsible AI concepts
09. Capstone Projects
- End-to-end data science projects
- Real-world datasets
- Model development
- Project presentation
- Portfolio development
Build Real-World Data Science Projects
Turn your knowledge into practical projects that can strengthen your portfolio.
Customer Churn Prediction
Use customer data and machine learning to predict churn.
Sales Forecasting
Analyze historical sales data and develop forecasting models.
Customer Segmentation
Use clustering techniques to identify customer groups.
Fraud Detection
Explore machine learning techniques for detecting unusual transactions.
Sentiment Analysis
Analyze text data and classify customer sentiment.
Business Dashboard
Create visual dashboards to communicate important business insights.
Who Is This Data Science Course For?
Students
Build a strong foundation for a career in data and technology.
Working Professionals
Upgrade your technical skills and expand your career options.
Career Switchers
Follow a structured learning path into data and analytics.
Python Learners
Take your Python and analytics knowledge into machine learning.
Career Paths After Data Science Training
Depending on your skills, experience and interview performance, you can explore different roles across data and technology.
Data Analyst
Data Scientist
ML Engineer
Business Analyst
Python Developer
BI Analyst
AI/ML Associate
Data Visualization Analyst
What You Will Learn
Why Learn Data Science in Vizag?
Build practical technology skills while learning in Visakhapatnam. Our Data Science Training in Vizag focuses on structured learning, practical exercises, projects and career preparation.
Structured Training
Follow a clear learning path from fundamentals to advanced concepts.
Practical Skills
Work with Python, SQL, statistics, machine learning and data tools.
Career Focus
Build projects and prepare for technical interviews and job applications.
Get More Than Just Data Science Training
Learn
Practice
Build Projects
Build Portfolio
Prepare for Interviews
Frequently Asked Questions
What is a Data Science Course?
A data science course teaches learners how to collect, clean, analyze, visualize and model data using programming, statistics, machine learning and AI techniques.
Is this Data Science Course suitable for beginners?
Yes, when the program starts with foundational concepts such as Python, SQL, statistics and data analysis.
What will I learn in a Data Science Course in Vizag?
You can learn Python, SQL, statistics, data analysis, visualization, machine learning, AI concepts and practical project development.
Do I need programming experience?
No prior programming experience is required if you join a beginner-friendly program that covers Python fundamentals.
What are the career options after Data Science training?
Potential career paths include Data Analyst, Data Scientist, Machine Learning Engineer, Business Analyst, Python Developer and other data or AI-related roles.
How can I join the Data Science Course in Vizag?
Click the enquiry button and contact our course advisor for information about the curriculum, fees, schedule, batches and admission process.
Start Your Data Science Journey in Vizag
Learn practical data science skills, build real-world projects and prepare for opportunities in data, analytics, machine learning and AI.
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