Janani K

Python for Data Analytics by Janani K

by Janani K

Experience: 1.6 Yrs

Module 1: Python Fundamentals for Analytics

Topics

  • Introduction to Python & Data Analytics

  • Python Installation (Anaconda, Jupyter, VS Cod...

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Course Mode:

Online

Duration:

20 hours

Language:

English

Location:

Coimbatore

Pricing:

800 INR Per Full Course

Batch Type:

Weekend

Course Experience:

1.6 Years

Tutor Experience:

1.6 Years

Course Content

Module 1: Python Fundamentals for Analytics

Topics

  • Introduction to Python & Data Analytics

  • Python Installation (Anaconda, Jupyter, VS Code)

  • Python Syntax & Program Structure

  • Variables, Data Types & Type Casting

  • Input / Output Operations

  • Operators in Python

  • Conditional Statements

  • Loops & Loop Control

  • Functions & Modules

Practical

✔ Basic scripts
✔ Data input programs
✔ Calculator & report generator


Module 2: Core Python for Data Handling

Topics

  • Strings & String Operations

  • Lists, Tuples, Sets & Dictionaries

  • Comprehensions

  • Built-in Functions (map, filter, reduce)

  • Exception Handling

  • File Handling (CSV, TXT, Excel basics)

Practical

✔ Data cleaning scripts
✔ File processing automation


Module 3: NumPy for Numerical Analysis

Topics

  • NumPy Arrays

  • Array Creation & Reshaping

  • Indexing & Slicing

  • Vectorized Operations

  • Mathematical & Statistical Functions

  • Broadcasting

Practical

✔ Matrix operations
✔ Performance comparison with Python lists


Module 4: Pandas for Data Analysis

Topics

  • Series & DataFrame

  • Importing Data (CSV, Excel, SQL, JSON)

  • Data Inspection & Cleaning

  • Handling Missing Values

  • Filtering, Sorting & Aggregation

  • GroupBy Operations

  • Merging & Joining DataFrames

  • Time Series Basics

Practical

✔ Sales dataset analysis
✔ Customer behavior analysis
✔ Data transformation workflows


Module 5: Data Visualization

Topics

  • Matplotlib Basics

  • Seaborn Visualizations

  • Line, Bar, Pie, Histogram, Boxplot

  • Heatmaps & Pairplots

  • Customizing charts

  • Dashboards (intro)

Practical

✔ Business performance dashboard
✔ Trend & comparison analysis


Module 6: Exploratory Data Analysis (EDA)

Topics

  • Descriptive Statistics

  • Correlation Analysis

  • Outlier Detection

  • Data Distribution & Patterns

  • Feature Understanding

Practical

✔ Complete EDA on real business dataset
✔ Generate EDA report


Module 7: SQL with Python

Topics

  • Python-MySQL / SQLite connectivity

  • Executing SQL queries using Python

  • Data extraction & loading

  • Data pipelines

Practical

✔ Sales database analysis project


Module 8: Business Analytics Case Studies

Case Studies

  • Sales Forecasting

  • Customer Segmentation

  • HR Attrition Analysis

  • Marketing Campaign Effectiveness

  • Inventory Demand Analysis

Skills

  • SQL
  • Python Programming
  • Statistical Analysis
  • Data Visualization
  • Numpy, Pandas and Matplotlib
  • Matplotlib
  • Sqlite
  • Seaborn
  • Mysql
  • R Programming/python
  • Data Cleaning

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What Students Are Saying

The instructor explained the concepts very clearly. I really enjoyed the course.

Amit Sharma

This course was very informative and helped me understand the topic better.

Priya Das

I liked the structure of the lessons and the examples used were very practical.

Rohan Mehta

FMG-2.0😎

SRV

Janani K

Janani K

Experience: 1.6 Yrs