Applied Python For Data Analysis And Machine Learning
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.
