- Call: +1 (610) 329-7239
- Email: info@tecgurus.live
Instructor: Rajibul Islam
12 Weeks (80–100 contact hours)
Intermediate to advanced learners familiar with Python basics (variables, loops, functions) who want to master data analytics, automation, and data-driven decision-making.
This course provides learners with the skills and tools to extract insights from data using Python. It covers data wrangling, visualization, exploratory data analysis (EDA), statistical inference, time series analysis, and machine learning for predictive analytics.
By the end, learners will complete a capstone project that applies analytical techniques to a real-world dataset.
By the end of this course, students will be able to:
1. Manipulate, clean, and transform complex datasets.
2. Apply statistical and probabilistic methods to real-world data.
3. Create advanced visualizations using Matplotlib, Seaborn, and Plotly.
4. Conduct exploratory data analysis (EDA) to uncover insights.
5. Build predictive and classification models using scikit-learn.
6. Perform time series analysis and forecasting.
7. Implement data pipelines and automate reporting.
8. Use dashboards and storytelling to communicate findings effectively.
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