Data Science and Machine Learning: A Practical Guide

Unlock the Power of Python for Data Science and Visualization Welcome to a comprehensive Python programming course tailored by Selfcode Academy for data science and visualization enthusiasts. Whether you're a beginner or looking to expand your skill set, this course will equip you with the knowledge you need.Master the Python Basics:Start from scratch with Python fundamentals.Learn about variables, data types, and the logic behind programming.Explore conditional statements and loops.Dive into essential data structures like lists, tuples, dictionaries, and sets.Discover the world of functions, including powerful lambda functions.Get familiar with Object-Oriented Programming (OOP) concepts.Python's Role in Data Science:Transition to data science seamlessly.Manipulate dates and times using Python's datetime module.Tackle complex text patterns with regular expressions (regex).Harness the power of built-in Python functions.Embrace Num Py for efficient numerical computing.Master Pandas and its data structures, including Series and Data Frames.Acquire data cleaning skills to handle missing values and outliers.Excel at data manipulation with Pandas, including indexing, grouping, sorting, and merging.Dive into data visualization with Matplotlib to create compelling graphs.Advanced Data Science and Visualization:Uncover insights through Exploratory Data Analysis (EDA) techniques.Automate data analysis with Pandas Profiling, DABL, and Sweetviz.Perfect your data cleaning and preprocessing techniques.Craft captivating visualizations using Seaborn.