Python for Business Analysts – From Data to Insights
About Course
Python for Business Analysts: From Data to Insight Generation
This hands-on program enables business and non-technical professionals to use Python as a practical tool for faster, smarter data analysis across Excel and SQL environments. Designed with a simplified, step-by-step learning approach, the course moves from core Python fundamentals to applied analytics—covering data cleaning, multi-source integration and visual insight creation.
With over 9 hours of structured, instructor-led content, participants learn how to transform messy operational data into reliable, decision-ready insights. The program blends guided coding exercises, retail and enterprise case studies and applied assignments to ensure immediate workplace relevance.
By the end of the program, learners confidently automate routine reporting, accelerate analysis cycles and deliver deeper analytical insights—reducing reliance on manual Excel work and improving decision speed across teams, even for professionals starting with no technical background.
Key Learning Outcomes
- Build a strong foundation in Python for business analytics (no coding experience required)
- Import, clean and merge data from Excel, CSV, and SQL databases
- Use Pandas and NumPy for efficient, large-scale data handling
- Conduct exploratory data analysis (EDA) to surface trends and patterns
- Create clear, executive-ready visualizations using Matplotlib and Seaborn
- Automate repetitive Excel-based reporting tasks with simple Python scripts
- Produce an end-to-end data analysis report from raw data to insights
Course Content
Get going with Python
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09:04
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Python Installation and IDEs
06:33 -
Using Spyder IDE from Anconda Installation
06:02 -
Guest Post
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Quiz-Get Going With Python
Data types used in Python
Operators in Python
Data structures used in Python
Conditions and Loops
Functions
Pandas Library
Exceptional Handling
SQL within Python
Mini Case Study: Merge & Clean Datasets
Assignment: Clean & Summarize Multi-File Dataset
Real-World Business Applications
Exploratory Data Analysis & Visualization
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