Free Download Udemy - Data Science Essentials
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 3m | Size: 831 MB
Master Data Science: Data Analysis, Visualization, and Machine Learning with Python for Real-World Applications
What you'll learn
Understand the basics of data science and its applications in various industries.
Analyze and clean raw data to prepare it for meaningful insights and modeling.
Apply statistical and machine learning techniques to make data-driven predictions.
Build and interpret data visualizations to communicate insights effectively.
Requirements
No prior data science or programming experience needed; we start from the basics.
Description
Welcome To Data Science 30-Day Challengeby SSA Academy and Sir Shakil Ahmad Data Scientist Expert and Having Advance Knowledge about Data ScienceThe Data Science 30-Day Challenge, offered by SSA Academy and led by data science instructor Sir Shakil Ahmad, is a focused, one-month program crafted to introduce you to essential data science principles and practical skills. Whether you're new to data science or looking to solidify your knowledge, this course provides the tools and techniques needed to understand and analyze data effectively.Throughout this 30-day challenge, you'll explore foundational data science topics such as data analysis, visualization, machine learning, and data manipulation. Each day brings new, focused lessons, hands-on projects, and real-world case studies. Under the guidance of Sir Shakil Ahmad, you'll gain a deeper understanding of data and build confidence in applying data science concepts to everyday scenarios.Course HighlightsData Analysis & Visualization: Learn how to analyze and visualize data using Python, Pandas, and Matplotlib.Machine Learning Basics: Discover the fundamentals of machine learning with Scikit-Learn, covering essential algorithms and techniques.Data Manipulation & Cleaning: Work with datasets, clean data, and gain insights from real-world data.Practical Assignments & Interactive Sessions: Apply what you learn through hands-on projects and interactive exercises.
Who this course is for
Beginners interested in learning data science from scratch with no prior experience.
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