Trainer: Abid Maqsood

Duration: 2 Months( 32 Credit Hours)

Mode: Recorded
Live mentorship support for guidance, problem-solving, and career direction

The Data Analytics with Python Course is an intensive 2-month program designed for beginners and professionals who want to quickly build strong, practical data analytics skills. The course is delivered through structured recorded sessions, combined with ongoing mentorship to ensure learners stay on track and gain a real understanding of each concept.

This program focuses on hands-on learning, real datasets, and practical use cases so learners can confidently apply their skills in jobs or freelance projects.

 What’s Included

Section 1: Programming and Database Foundations

Python for Data Analytics
Learn how to work with data using Python, including data cleaning, manipulation, analysis, and basic visualization. The course covers commonly used analytics libraries and practical workflows used by data analysts in real projects.

SQL Server
Develop strong database skills by learning how to write efficient SQL queries. Topics include data extraction, filtering, joins, subqueries, aggregations, and working with structured datasets for analysis and reporting.

R for Data Analysis
Understand how R is used for statistical analysis and data exploration. Learn how to analyze datasets, perform basic statistical operations, and generate insights using R in analytics-focused scenarios.

By the end of this 2-month course, learners will have a solid foundation in data analytics programming and databases, along with the confidence to move into advanced analytics tools or real-world projects.