Data Analytics & Python Growth Track Overview
This Data Analytics course using Python and MySQL teaches you how to turn raw data into clear, actionable insights. You will learn core analytics workflows — ingesting and storing data in MySQL, cleaning and transforming data with pandas, performing exploratory and statistical analysis, and creating effective visualizations to communicate results.
Through hands-on labs and real projects you’ll practice SQL querying, joins, aggregation, ETL patterns, and basic automation alongside Python tools (NumPy, pandas, Matplotlib/Seaborn, Plotly). The curriculum also covers introductory machine learning with scikit-learn, reproducible notebooks, and best practices for sharing results via reports or simple dashboards.
By the end of the course you will have portfolio-ready projects that demonstrate end-to-end analytics workflows and stakeholder-ready reporting. The program is ideal for aspiring Data Analysts, BI professionals, and those preparing for data roles — it includes mentoring, practical assignments, and guidance for applying these skills in real-world jobs.
Data Analytics & Python Growth Track Highlights
- Database Design & SQL (MySQL): Design schemas, write efficient queries, joins, indexing and basic optimization.
- Data Wrangling with Python: Clean, transform and prepare datasets using pandas and NumPy for analysis.
- Exploratory Data Analysis & Visualization: Discover patterns and communicate insights with Matplotlib, Seaborn and Plotly.
- Time Series & Forecasting: Trend, seasonality and forecasting methods for demand and metrics.
- Dashboards & Reporting: Build stakeholder-ready dashboards and automated reports for business use.
- Capstone Projects & Career Support: Real-world projects, portfolio development, mentoring, and interview preparation.
Data Analytics & Python Growth Track Curriculum
This is the recommended order, but some courses may be taken in a different order. See the FAQ for more details.
Benefits Provided
Learn the concepts and skills covered in this program or your tuition is on us. See See details and terms & conditions.
Hands-on training
Work on projects proven to boost retention
Learn from experts
Experienced educators who are driven to help you succeed
Retake & Class Recordings
Refresh the materials for free within one year
1-on-1 Mentoring
Every student has a different spark which is enchanced by mentors
Data Analytics & Python Growth Track Projects Example
Learn practical skills by working on real projects with instructor guidance and lectures to strengthen and improve your skill.