NextGen AI
Intermediate33% off

Python for Data Analysis with AI

Master Python libraries like Pandas and NumPy to clean, transform, and visualise data, then leverage AI for deeper insights.

4.7
(11,500)
11,500 studentsEnglish

Created by Dr. Priya Nair · AI Educator & Former ML Engineer

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This course includes

  • 15 video lessons
  • 4h 15m of content
  • Downloadable resources
  • Full lifetime access
  • Certificate of completion
  • 30-day money-back guarantee

What you'll learn

  • Import, clean, and transform data using Pandas DataFrames.
  • Perform efficient numerical computations with NumPy arrays.
  • Create compelling visualisations with Matplotlib and Seaborn.
  • Understand core machine learning concepts relevant to analysis.
  • Apply supervised learning for predictive tasks (e.g., regression).
  • Utilise unsupervised learning for pattern discovery (e.g., clustering).
  • Integrate AI models into your Python data analysis workflow.
  • Interpret AI model outputs to derive business insights.

About this course

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.

Course content

5 modules · 15 lessons · 4h 15m

  • Installing Anaconda and Essential LibrariesPreview
    15m
  • Introduction to Jupyter NotebooksPreview
    12m
  • Your First Pandas DataFrame
    18m

Requirements

  • Basic Python programming knowledge (variables, loops, functions).
  • Familiarity with fundamental statistical concepts is helpful but not mandatory.
  • A working Python installation (e.g., Anaconda distribution).

Your instructor

D

Dr. Priya Nair

AI Educator & Former ML Engineer

Priya has trained 40,000+ students and led ML teams at two startups. She specialises in making complex AI approachable.