Advance Python | Python for Datascience

A Python-Based Datascience Roadmap

Created by: Selfcode Academy
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What Will I Learn?

• The course is designed to provide students with a strong foundation in advanced Python programming, data analysis, and machine learning.
• Students will learn advanced programming concepts, including list comprehensions, file I/O operations, exception handling, and lot more advance python concepts.
• Data manipulation and analysis using the NumPy and Pandas libraries, covering data cleaning, preprocessing, and transformation techniques.
• Data visualization using Matplotlib, Seaborn, and Plotly for creating informative and visually appealing plots and charts.
• Implementation and evaluation of various machine learning algorithms, such as supervised and unsupervised learning, using the Scikit-learn library.
• Optional exploration of advanced topics like natural language processing, web scraping, time series analysis, and recommender systems for a more comprehensive u

Requirements

• Students should have understanding of fundamental Python concepts, including variables, data types, loops, and functions.
• A genuine interest in working with data, conducting data analysis, and implementing machine learning models is crucial to fully benefit from the course content.
• A foundational knowledge of basic mathematical concepts, such as algebra and statistics, will be helpful for comprehending certain aspects of data analysis, machine learning, and numerical computing.

Target audience

• Students interested in exploring data analysis, cleaning, and preprocessing techniques using Python will find this course helpful in understanding how to work w
• For students keen on expanding their knowledge beyond basic programming, this course delves into advanced Python concepts, object-oriented programming, and more
• Students those who wants to learn advanced Python concepts, and are intrested towards the field of datascience
• Students and professionals in the field of machine learning and artificial intelligence looking to strengthen their understanding of Python for implementing and
• Data analysts and data scientists seeking to leverage Python for advanced data manipulation, analysis, and visualization tasks.
• Intermediate Python developers aiming to enhance their skills and delve deeper into advanced programming concepts.
• Software engineers interested in expanding their knowledge of Python for various applications, including web development, data processing, and automation.