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Master Python libraries like Pandas and NumPy to clean, transform, and visualise data, then leverage AI for deeper insights.
Created by Dr. Ivan Petrov · Data Scientist & Analytics Lead
30-day money-back guarantee
This course includes
This course is your launchpad into the practical world of data analysis using Python. Forget abstract theory; we dive straight into using industry-standard libraries such as Pandas for data manipulation and NumPy for numerical operations. You'll learn to wrangle messy real-world datasets, from cleaning missing values to reshaping dataframes, making them ready for analysis. We then bridge the gap to AI by introducing fundamental machine learning concepts. You'll see how algorithms can uncover patterns you might miss, automate tedious tasks, and build predictive models. Think identifying customer segments or predicting sales trends, all within your Python environment. It's about making data work harder for you, with a smart, automated edge. By the end, you'll be comfortable taking raw data through the entire analysis pipeline, from initial import to generating actionable insights with AI assistance. This isn't just about writing code; it's about solving problems and driving decisions with data.
5 modules · 15 lessons · 4h 15m
Dr. Ivan Petrov
Data Scientist & Analytics Lead
Ivan builds analytics and forecasting pipelines, and teaches analysts to use AI to get to a defensible answer faster without losing the audit trail.
30-day money-back guarantee
This course includes