All programsAenexz Tech
Dual Certified
4.9
Pro AI Data Analytics
Data preprocessing, AI modeling, analytics, visualization and dashboards — followed by 4 weeks embedded in real business projects with weekly expert reviews.
Duration
8 Weeks
Level
Beginner → Intermediate
Prerequisites
Basic Computer Skills
Curriculum
Week 11 Week
Data Preprocessing & Python for AI
Clean and prepare real data for AI models.
- Data cleaning and imputation
- Feature engineering and encoding
- NumPy foundations for AI
- Pandas DataFrames and joins
- Exploratory data checks
Week 21 Week
AI Modeling & Machine Learning Basics
Regression, classification and evaluation.
- Regression models — linear, polynomial
- Classification — logistic, tree-based
- Train/test split and cross-validation
- Hands-on model evaluation metrics
- Model comparison and selection
Week 31 Week
Analytics Tools & Statistical Analysis
Statistics that actually get used in business.
- EDA workflow on real business data
- Hypothesis testing and p-values
- A/B testing methodology
- Confidence intervals and inference
- Reporting insights to stakeholders
Week 41 Week
Data Visualization & Dashboards
Turn analysis into decision-ready visuals.
- Matplotlib fundamentals
- Seaborn statistical charts
- Plotly dashboards and interactivity
- Storytelling with data
- Weekend screening test & review
Week 5–84 Weeks
Live Industrial Internship
Embedded in a real industry project with mentor reviews.
- Onboarding, scope definition, initial data exploration
- Build and deploy models on real business datasets
- Refine models and validate findings
- Weekly expert review meetings
- Final presentation — receive both certificates
Tools & Technologies
PythonJupyterNumPyPandasMatplotlibSeabornPlotlyScikit-learnExcelPower BI (intro)
Capstone Projects
Capstone
Live Industry AI/Analytics Project
Micro
