AI & Machine Learning
Data Science & Analytics
Extract actionable insights from data using Python and statistical analysis.
5 DaysIntermediateTensorNova Certificate of Completion
Course Curriculum
Module 1Data Collection & Wrangling
- SQL for data extraction
- Web scraping with BeautifulSoup and Scrapy
- API data ingestion
- Pandas for cleaning and reshaping
Module 2Exploratory Data Analysis
- Descriptive statistics and distributions
- Correlation and covariance analysis
- Outlier detection techniques
- Visualisation with Matplotlib, Seaborn, and Plotly
Module 3Statistical Inference
- Hypothesis testing and p-values
- A/B testing methodology
- Confidence intervals and effect size
- ANOVA and chi-square tests
Module 4Predictive Analytics
- Regression analysis
- Classification models for business
- Time series forecasting with ARIMA and Prophet
- Model interpretability with SHAP
Module 5Data Storytelling
- Dashboard design principles
- Interactive visualisations with Plotly Dash
- Executive summary writing
- Presenting findings to non-technical stakeholders
Prerequisites
- Basic Python knowledge
- High-school level statistics
- Some exposure to SQL is helpful but not required
Who Should Attend
- Business analysts upskilling with Python
- Product managers wanting data fluency
- Researchers needing quantitative analysis skills
- Engineers transitioning to data science roles
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