Intermediate Data Analytics Online Course
Level up your analytics skills from $149 and unlock high-demand career paths. Master modern tools to turn raw data into actionable business strategies in just 4-8 weeks.
What You'll Learn
Career-ready skills, mapped to real hiring outcomes.
- Build interactive dashboards using Tableau and Power BI to visualize KPIs and business metrics
- Write SQL queries to extract, transform, and aggregate data from relational databases
- Perform statistical analysis and hypothesis testing to validate business assumptions
- Create predictive models using Python and machine learning libraries for forecasting
- Design data pipelines and automate reporting workflows to save 10+ hours weekly
- Present analytical findings to stakeholders using storytelling and visual communication techniques
Course Curriculum
5 modules · structured, self-paced.
Module 01 Module 1: SQL Foundations & Database Queries
- Advanced SELECT statements and JOINs
- Aggregation functions and GROUP BY operations
- Subqueries and window functions
- Query optimization and indexing basics
Module 02 Module 2: Data Visualization & Dashboard Design
- Tableau data connections and calculations
- Power BI desktop modeling and relationships
- Dashboard best practices and KPI selection
- Interactive filtering and drill-down techniques
Module 03 Module 3: Statistical Analysis & A/B Testing
- Descriptive and inferential statistics
- Hypothesis testing and p-values
- A/B testing design and interpretation
- Correlation and regression analysis
Module 04 Module 4: Python for Data Analytics
- Pandas DataFrames for data manipulation
- Data cleaning and handling missing values
- Exploratory data analysis workflows
- Libraries: NumPy, Matplotlib, and Seaborn
Module 05 Module 5: Predictive Modeling & Capstone Project
- Machine learning fundamentals and model types
- Train-test split and cross-validation
- Feature engineering and selection
- End-to-end capstone analytics project
Who This Is For
Built for these professionals.
- 01 Business analysts seeking to deepen SQL and visualization skills to advance into senior analyst roles.
- 02 Marketing professionals who want to move beyond spreadsheets and master data-driven campaign optimization.
- 03 Finance professionals aiming to transition into business intelligence and financial forecasting roles.
- 04 Operations managers needing to build dashboards and extract insights from complex datasets independently.
Common questions about this program.
Do I need prior Python experience to succeed in this intermediate course?
No. This course assumes basic analytics knowledge but teaches Python from applied foundations. Module 4 builds gradually from data manipulation to analysis, with hands-on labs for practice. Reviewers typically complete the Python section with 5-7 hours of practice outside lessons.
Which tools should I have access to before starting?
You'll need free or trial versions of Tableau Public, Power BI Desktop, and Python (Anaconda). We provide step-by-step installation guides in Week 1. Most tools have free tiers sufficient for the entire course.
Will this course prepare me for data analyst job interviews?
Yes. The capstone project becomes a portfolio piece, and module projects cover real interview scenarios: SQL case studies, dashboard creation under time pressure, and statistical reasoning. Sarah also covers how to communicate your findings—critical in interviews.
How much time per week should I dedicate to complete the course in 4 weeks?
Plan 12-15 hours weekly to complete the course in 4 weeks. The 8-week option requires 6-8 hours weekly and allows deeper practice with datasets. We recommend the 8-week path if you work full-time and want to build portfolio-quality projects.
Get Started Today
Ready to start your
data analytics career?
Enroll now for $149 and start transforming data into career opportunities—your first lesson unlocks in minutes.