- Introduction to the Python programming language
- Using the Jupyter Notebook environment to run Python code
- Data types: strings, integers and floats; how information is created in Python
- Variables and containers: how information is stored in Python
- Mathematical operators and calculation in Python
- Control flows, logic and writing functions: how to automate processes using code.
Online
5 Weeks
Free
Important Dates:
10 Jan, 2024 - 31 Jul, 2024
Enrollment Date
Quick facts
particular | details | ||
---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
4-5 Hours Per Week
|
Course and certificate fees
Type of course
Free
certificate availability
Yes
certificate providing authority
ACCA
certificate fees
₹16,539
The syllabus
Module 1: Introduction to Python
Module 2: Python for Data Analysis
- Introduction to working with third-party Python packages
- Working efficiently with large datasets using NumPy for numerical analysis
- Using pandas to read in, manipulate and analyse data
- Data visualisation using matplotlib and Seaborn
- Merging datasets and techniques for handling missing data.
Module 3: Automating Excel using Python
- Introduction to xlwings: a Python library for interacting with live Excel spreadsheets
- Using pandas and xlwings to automate the generation of Excel-based business intelligence reporting
- Learn to automate Excel and give your Excel-based workflows access to the full power of the Python data scientific ecosystem of tools
Module 4: Machine learning with Python
- Build a classifier algorithm for RFM modelling
- Build a machine learning system for category classification using decision trees, random forests and natural language processing
- Learn how to evaluate and tune machine learning algorithms, and how to prevent overfitting using cross-validation.
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