Master complete data science stack: Python programming, SQL databases, Excel analysis, Power BI visualization, and Machine Learning. Become a job-ready data scientist.
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Master the complete data science stack from fundamentals to advanced machine learning
1 Month • Programming Fundamentals
1 Month • Data Storage & Retrieval
1 Month • Business Analytics
1 Month • Interactive Dashboards
1 Month • Predictive Analytics
Master industry-standard tools used by data professionals worldwide
Complete Python stack for data science including libraries and frameworks
Master database management and complex query writing for data extraction
Master business analytics, financial modeling, and data manipulation in Excel
Create interactive dashboards and business intelligence reports
Advanced machine learning and statistical analysis libraries
Build portfolio-worthy projects using the complete data science stack
Build ML models to predict customer churn using Python and deploy insights in Power BI
Time series forecasting with ARIMA and Prophet models, visualized in interactive dashboards
Predict disease outcomes using patient data with classification algorithms
Master essential machine learning algorithms for real-world applications
Regression and classification algorithms for predictive modeling
Clustering and dimensionality reduction techniques
Random Forests, Gradient Boosting, and model stacking
Text processing, sentiment analysis, and topic modeling
High-demand roles for complete data science professionals
Build ML models and extract insights from complex data
Analyze data and create reports for business decisions
Create dashboards and visualizations for business insights
Build and deploy machine learning systems
Get industry-recognized certification in complete data science stack
Issued by Naya Prayog Academy
Validates comprehensive skills in Python, SQL, Excel, Power BI, and Machine LearningMaster the complete data science stack and build a high-paying career in analytics
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