Data Analytics with Python

Course Category : Data Management

Develop practical expertise in Python-based data analytics to transform raw data into actionable insights through statistical analysis, visualisation, and data-driven decision-making.
Duration: 5 Days
Level: Intermediate – Advanced

Introduction

Modern organisations increasingly rely on data as a strategic asset for improving performance and supporting evidence-based decisions. The ability to analyse, interpret, and communicate data effectively has become a core competency across industries.
This course provides a comprehensive approach to data analytics using Python, covering data acquisition, preparation, exploratory analysis, statistical techniques, visualisation, and reporting to enable participants to convert raw datasets into meaningful business insights..

Targeted Audience

Data Analysts
Business Analysts
Junior Data Scientists
Software Developers
Data Engineers
Business Intelligence Professionals
Researchers and Academics
Anyone interested in Python Data Analytics

Targeted Skills

Python Data Analytics
Data Cleaning
Exploratory Data Analysis
Statistical Analysis
Data Visualisation
Data Manipulation
Analytical Reporting
Data Interpretation

Expected Outcomes

Analyse datasets efficiently using Python.
Prepare and clean datasets for analysis.
Perform exploratory and statistical analyses.
Create professional data visualisations.
Interpret analytical results for business decisions.
Work with multiple structured data formats.

Training Topics Index

Python analytical environment
Data structures
Importing datasets
Working with CSV, Excel, and JSON files
Analytical workspace setup

Handling missing values
Detecting outliers
Removing duplicate records
Data type conversion
Data integration and transformation

Descriptive statistics
Variable relationship analysis
Distribution analysis
Pattern identification
Correlation analysis

Charts and graphs
Statistical visualisations
Comparative analysis
Dashboard concepts
Professional presentation of findings

Multivariate analysis
Analytical reporting
Exporting analytical outputs
Data analytics best practices
Decision support using analytics

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code

Data Analytics with Python