Trainer: Abid Maqsood

Duration: 96 Credit Hours

Mode: Recorded

Data Analytics Complete Course is a comprehensive 6-month program designed for beginners as well as working professionals who want to build strong, job-ready analytics skills. The course is delivered through high-quality recorded sessions, supported with continuous mentorship to ensure you understand concepts deeply and can apply them confidently in real-world scenarios.

Throughout the program, learners work on practical examples, hands-on exercises, and real business use cases. Mentorship includes guidance on learning paths, problem-solving support, and career-focused advice.

What’s included in the course:

Section 1: Core Programming and Databases
In this section, you will build a strong foundation in data handling and analysis using industry-standard tools.
Python for Data Analytics covers data cleaning, manipulation, analysis, and basic visualization using libraries commonly used in analytics roles.
SQL Server focuses on writing efficient queries, joins, subqueries, and performance-friendly data extraction from databases.
R is introduced for statistical analysis, data exploration, and analytics-focused use cases.

Section 2: Spreadsheet Mastery and Freelancing Skills
This section sharpens your productivity and prepares you for practical work environments.
Microsoft Excel includes formulas, functions, PivotTables, dashboards, and automation concepts used by analysts daily.
Google Sheets covers collaboration, cloud-based reporting, formulas, and dashboard creation for online teams.
Upwork training helps you understand freelancing fundamentals, profile optimization, proposal writing, and how to win data analytics projects.

Section 3: Business Intelligence and Professional Branding
In this section, you move into advanced reporting and career growth tools.
Microsoft Power BI focuses on data modeling, DAX, interactive dashboards, and performance optimization for enterprise reporting.
Looker Studio teaches you how to create dynamic, shareable dashboards using Google data sources.
LinkedIn guidance helps you build a strong professional profile, showcase projects, and attract job or freelance opportunities in the data analytics field.

By the end of this 6-month course, learners will have a solid analytics toolkit, hands-on project experience, and clear direction for jobs, freelancing, or career growth in data analytics.