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Applied Python For Data Analysis And Machine Learning

Applied Python For Data Analysis And Machine Learning

MYR 6,500.00Price
Master the power of Python to analyze, visualize, and predict with data. The 5-day Applied Python for Data Analysis and Machine Learning course takes learners from foundational programming to advanced data manipulation, visualization, and predictive modeling. Using key libraries like Pandas, NumPy, Matplotlib, and Scikit-learn, participants will build real-world solutions through hands-on projects.
 
The course also introduces web scraping, database integration, and natural language processing for text analytics. Designed for analysts, engineers, and data professionals, this program equips you with the essential coding and analytical skills needed to handle data confidently and apply machine learning effectively in any industry.

This course is designed to provide participants with a solid foundation in Python for solving real-world problems using data analysis, statistical modeling, and machine learning techniques. The program progresses from essential programming concepts to advanced topics including web scraping, data wrangling, visualization, and predictive modeling. Each module integrates theory with hands-on practice using relevant datasets.

Frequently Asked Questions

You’ll learn to use Python for data analysis, visualization, and machine learning through real-world, hands-on projects.

Ideal for data analysts, engineers, BI specialists, and professionals looking to upskill in data-driven roles.

Pandas, NumPy, Matplotlib, and Scikit-learn are the main focus, with exposure to Plotly, Dash, and SQL.

No prior experience is required, though basic understanding of data or statistics will help.

Yes. The course includes extensive hands-on labs, data projects, and a final capstone assignment.

Yes, participants will build and evaluate regression, classification, and clustering models using Scikit-learn.

Yes, this course is HRDC claimable under AjarAble Consulting’s registered programs.

Yes, the modules can be adapted to suit specific organizational data or project needs.


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