Python for Data Analytics - Module 2
- Course Duration2 Days
- Course StartEnrollment Monthly
Description
Course Description:
Python is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. This course will cover the opportunities available for the telecommunication company to leverage python in order to make data analysis that fuel driven decisions.
Learning Outcomes:
By the end of this course, you should be able to:
- Explore Python language fundamentals, including basic syntax, variables, and types
- Build Numpy arrays, and perform interesting calculations
- Supercharge your scripts with control flow, and get to know the Pandas DataFrame
- Be able to quantitatively define an answerable, actionable question
- Understand the difference between machine learning and frequentist approaches to statistics
- Implement classification and regression models using machine learning
- Score new datasets, evaluate model fit, and quantify variable importance
Key Objectives:
- Learn to use NumPy for Numerical Data
- Learn to use Pandas for Data Analysis
- Visualise data using python liblaries
- Implement Machine Learning Algorithms
Course Outline:
Module 1: Introductory Steps
Module 2: Data Science in Python
Module 3: Visualization
Module 4: Machine Learning Introduction
Module 5: Advanced Machine Learning
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