📊
High Demand
Data Science
Analytics to Machine Learning
Data Science is the discipline of extracting actionable insights from data — combining statistics, programming, and domain knowledge. This comprehensive course takes you from data basics all the way to deploying ML models.
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Duration
5 Months
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Mode
Offline
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Eligibility
Graduate (Any Stream)
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Contact us for fee details
Free Career Counseling
✅Certificate on completion
📚Study materials included
💻Lab access included
🤝Placement assistance
🔄Lifetime alumni support
What You'll Learn
01Python for Data Science — NumPy, Pandas
02Data Cleaning & Preprocessing
03Exploratory Data Analysis (EDA)
04Statistics — Hypothesis Testing, Distributions
05Data Visualization — Matplotlib, Seaborn, Plotly
06Machine Learning — Regression, Classification, Clustering
07Scikit-Learn & Model Evaluation
08Feature Engineering & Selection
09Natural Language Processing Basics
10Model Deployment with Flask
Career Outcomes
Analyze and visualize complex datasets
Build and evaluate ML models
Extract business insights from data
Present findings to non-technical stakeholders
Tools & Technologies
PythonJupyterScikit-LearnPandasTableau