Build practical skills in Python, statistics, data analysis, machine learning, artificial intelligence, data visualization and predictive modeling through structured, project-oriented training.
Python • Statistics • Analytics • ML • AI
SKILLSECUREX TRAINING PROGRAM
Learn Python, data structures, NumPy, Pandas and practical data handling.
Work with cleaning, visualization, statistics, SQL and exploratory analysis.
Understand regression, classification, clustering, evaluation and optimization.
Explore AI-assisted analytics, predictive systems and portfolio projects.
Python basics, functions, files, NumPy, Pandas and data preparation.
Descriptive statistics, probability, correlation, outliers and exploratory analysis.
Charts, dashboards, storytelling with data, SQL queries and databases.
Regression, classification, clustering, feature engineering and evaluation.
AI-assisted analysis, prompt engineering, predictive workflows and responsible AI.
End-to-end projects, Streamlit applications, APIs, documentation and presentation.
Analyze historical data and build a forecasting model.
Prepare data and develop a supervised classification solution.
Use clustering and visualization to identify customer groups.
Create a dashboard to communicate meaningful business insights.
Design an AI-assisted workflow for exploring and explaining datasets.
Present a trained model through a practical web interface.
Professional completion documentation from SkillSecureX, subject to requirements.
Portfolio-oriented practical work and project presentation.
Guidance for resume presentation and technical discussions.
Subject to eligibility, completion criteria and applicable policy.
Complete the registration form with accurate information. Any stipend or additional documentation is subject to eligibility and evaluation.
Learn, analyze, build and present portfolio-ready data science and AI projects with SkillSecureX.