Upon completion, you will be able to:
Design and implement comprehensive data science and analytics pipelines
Apply machine learning and deep learning algorithms to solve complex problems
Develop interactive dashboards and business intelligence reports
Communicate insights effectively to technical and non-technical stakeholders
Lead data-driven decision-making processes in organizations
Python, NumPy, Pandas, Scikit-learn
TensorFlow, Keras
SQL, Tableau, Power BI
Generative AI APIs and frameworks
Git and version control
Customer segmentation and predictive modeling
Sales forecasting and trend analysis
Fraud detection systems
Recommendation engine development
Executive dashboard creation
Data Scientist
Business Intelligence Analyst
Machine Learning Engineer
Data Analytics Consultant
AI Specialist
Databases, SQL, and data modeling
Big data processing concepts
Building reliable, scalable data pipelines
ETL tools and best practices
Machine learning algorithms
Predictive and prescriptive analytics
Advanced dashboards with Power BI/Tableau
Data storytelling for business impact
End-to-end data engineering and analytics solution
ML Developer
Category Growth Analyst
Internal Audit Data Analyst, Grade Asst Manager
Scholar Trainee - WILP
Technical Consultant
Jr. Data Analyst
Professional excellence starts with understanding your goals. Share your details, and an RP2 specialist will connect with you for a personalized consultation.