Python for Business Analysts – From Data to Insights

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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
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What Will You Learn?

  • You will learn how to use Python to clean, merge and analyze data from Excel and SQL, automate routine reporting, uncover trends through visualization and generate clear, business-ready insights for faster, smarter decision-making.

Course Content

Get going with Python
In this section we will learn what is programming, python installation using anaconda and various IDEs where you can code in Python.

  • 09:04
  • Python Installation and IDEs
    06:33
  • Using Spyder IDE from Anconda Installation
    06:02
  • Guest Post
  • Quiz-Get Going With Python

Data types used in Python
1. Integers 2. Float 3. Complex numbers 4. Boolean 5. Strings

Operators in Python
Operators are used to perform various operations on different variables or values. This lesson talks about all those operators along with their types.

Data structures used in Python

Conditions and Loops

Functions

Pandas Library

Exceptional Handling
Errors and bugs are part and parcel of any programming language. So we need to learn a way to handle them and exceptional handling is one such tool.

SQL within Python
Execute SQL queries within Python for analysis.

Mini Case Study: Merge & Clean Datasets
Combine multiple data sources and handle data quality issues

Assignment: Clean & Summarize Multi-File Dataset
Consolidate multiple data sources and prepare a report

Real-World Business Applications
Apply Python to solve real-world business problems

Exploratory Data Analysis & Visualization
Perform EDA and create insightful charts

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