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Learn Data Science through a fully practical, industry-focused training approach. This program covers Python programming, SQL for data handling, Machine Learning algorithms, Deep Learning architectures, and real-time project implementation. You will work on datasets from healthcare, finance, e-commerce, and business analytics while learning how to clean data, analyze patterns, build predictive models, and deploy insights for decision making. By the end of this training, you will have the skills and confidence required to solve real-world problems and qualify for top data science job roles.
Master AI-powered Data Science with real-world business case studies.
Analyze structured data using SQL and integrate workflows with Python.
Build predictive models using classification, and clustering.
Learn neural networks, TensorFlow, PyTorch, and automation pipelines.
Master Data Science with Python, NumPy, Pandas, Matplotlib, Seaborn, and advanced real-time data analytics workflows. This training takes you from the basics of programming to building complete end-to-end data science solutions. You’ll learn how to clean raw datasets, handle data pipelines, visualize insights, build predictive models, and evaluate performance using industry-standard metrics.
The course includes real datasets from healthcare, retail, banking, marketing, and business analytics. You will also learn SQL for data extraction, Jupyter Notebook for analysis, Git for version control, and Deep Learning frameworks like TensorFlow and PyTorch. Every module includes hands-on tasks, assignments, mini-projects, and a complete capstone project to prepare you for interviews and real-world industry expectations.
Whether you're a beginner or looking to upskill, this course helps you build a strong portfolio, develop problem-solving skills, and gain the confidence needed to pursue roles like Data Analyst, Machine Learning Engineer, Business Analyst, or Data Scientist.
Interactive classes, real-time projects, flexible learning & guidance.
Mock interviews, resume building, career guidance & hiring connections.
Complete Python programming for Data Science including variables, loops, functions, OOP concepts, NumPy operations, Pandas for data cleaning, Matplotlib & Seaborn visualizations, handling missing data, feature engineering, and exploratory data analysis with real datasets.
Learn SQL from basics to advanced: Joins, Subqueries, Window Functions, Aggregations, Views, Stored Procedures, and Real-Time Business Queries. Work with multiple datasets, build reports, optimize data extraction, and integrate SQL workflows with Python.
Build complete Machine Learning projects using Regression, Classification, Clustering, Feature Scaling, Model Evaluation Metrics, Hyperparameter Tuning, Cross Validation, and Deployment Concepts. Includes end-to-end tasks with real-time datasets and case studies.
Excellent training program! The sessions are very interactive and beginner friendly. Real-time examples helped me understand complex concepts easily. I gained strong confidence in Python, SQL and ML models.
The curriculum is well structured and updated with industry trends. Trainer gives daily tasks, mini-projects and mock interviews which helped me clear my first interview. Placement support is very useful with resume preparation and job alerts.
