Level 3: Python for Data Science and Machine Learning

Intermediate
4 Weeks | 2 Hours/Day

This course is designed for developers and analysts who want to leverage Python for data analysis, visualization, and basic machine learning. It focuses on handling and analyzing real-world structured datasets, creating visualizations, and building simple machine learning models using popular Python libraries.

Prerequisites:
– Completion of Level 2 or equivalent experience
– Familiarity with basic statistics and data formats (CSV, Excel, JSON)

Taking Admission 

Intermediate

4 Weeks | 2 Hours/Day

NPR 5000/ week

Here’s what you’ll learn

Week 1:

Data Science Toolkit

  • Python for data manipulation
  • Intro to NumPy and Pandas
  • Conditional logic and control flow for data
  • Data cleaning and aggregation
Week 2:

Visualization and Analytics

  • Plotting with Matplotlib and Seaborn
  • Using Jupyter Notebooks for experiments
  • Working with large datasets
  • Satellite data and NumPy use cases
Week 3:

Intro to Machine Learning

  • ML fundamentals: regression, classification, clustering
  • Using scikit-learn
  • Feature engineering and evaluation
Week 4:

Real-World Applications

  • Natural Language Processing basics
  • Working with databases and text data
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