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Data Science Course with AI for Non-Coders in Iqbal Town

Data Science course for Non-Coders course is designed to help students understand data analysis concepts without a programming background. Students learn how to work with data, interpret insights, and use industry tools to support data-driven decisions.

Just real skills, projects, and mentorship.

Data Science Course with AI for Non-Coders in Iqbal Town
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OVERVIEW

Instructor PhotoInstructor

Tayub Tahir Shaheen

A track record of more than 10 years of Professional and Training Experience in field of IT & Data Analysis. I am Master in Computer Science from Riphah International University, IBM Certified Data Analyst, IBM Data Science, Google Certified IT Professional, Excel Skills for Business from Macquarie University, Sydney. Worked as HRIS/IT Offcer/Sr. IT Officer/Data Manager/Data Analyst/Dashboard Expert in Power Bl, Tableau & Excel at Borjan Pvt. Ltd., MK. Enterprises Pvt. Ltd, Metro Shoes, Punjab Curriculum & Textbook Board, Smart Solution Pvt.Ltd, 7Roots Sol. Pvt.Ltd etc.

Data Science Course for Non-Coders in Iqbal Town

Data Science Course for Non-Coders in Iqbal Town


If you want to work with data but have no programming experience, this course teaches you how to analyze, visualize, and interpret information using easy-to-use tools. You will gain hands-on experience with analytics platforms like Power BI, KNIME, SAS, and SAP, allowing you to build actionable insights for business problems. The course emphasizes real-world examples, practical exercises, and interactive learning so you can apply concepts immediately. It is designed for beginners, working professionals, and graduates aiming to start a career in data analysis or business intelligence. By the end, you will be able to handle datasets, create dashboards, and support data-driven decision-making without writing code.

Why Choose Data Science Course for Non-Coders in Iqbal Town?

PNY Trainings focuses on practical learning using drag-and-drop tools that eliminate the need for coding experience. Students gain experience in data integration, manipulation, visualization, and predictive modeling. This approach allows non-technical learners to confidently analyze datasets, generate insights, and contribute to business strategies.

Hands-On Learning with Industry-Standard Tools

The course emphasizes real-world applications using Power BI, KNIME, SAS, and SAP. Students practice data cleaning, statistical analysis, and visualization while developing predictive models. PNY ensures that learners can apply their knowledge to actual business scenarios immediately.

Structured Curriculum for Non-Coders

The program starts with fundamental concepts of statistics and gradually covers machine learning principles using user-friendly tools. Each module builds on the previous one, providing a smooth learning curve. Students explore descriptive analytics, regression models, and predictive modeling without writing code.

Career Growth and Professional Support

PNY provides internship opportunities, industry mentorship, and job placement assistance. Graduates leave the course prepared to handle real-world business data and deliver actionable insights. The institute also offers access to exclusive seminars and a professional network to support ongoing learning and career growth.

Accessible Learning in Iqbal Town

The course is offered in PNY Trainings Iqbal Town, an area well-connected to key parts of Lahore. Students can easily access the institute from landmarks like Gulshan-e-Iqbal Park for a quick break or visit Moon Market for daily shopping, making learning convenient and integrated with the local lifestyle.

Why This Course Matters for Non-Coders

In a world driven by data, understanding analytics is essential even without programming skills. PNY’s course empowers non-coders to analyze business data, create dashboards, and support data-driven decision-making. It opens doors to roles in data analysis, business intelligence, and machine learning-assisted projects.

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Office # 1, Level # 14, Arfa Software Technology Park, Ferozepur Road, Lahore.

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