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- Learn Python for Data Science from Scratch • with 10 Projects
- 12 sections • 75 lectures • 13h 17m total length
- 2023-11 | e-Learning | English | DOC, MP4, TXT | 8.60 GB
- Unleash Data Potential. Master Python for Data Science, Visualization, and Machine Learning from Ground Zero to Pro!
- DOWNLOAD:
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- https://pobieraj.net/2jTE/lea-py-4-ds-10-pro-2023-11.part1.rar
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- https://rg.to/file/640335e236413168a98f81d2a7c0a840/lea-py-4-ds-10-pro-2023-11.part1.rar
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- What you'll learn
- - Foundations of Python Programming for Data Science: Students will gain a solid understanding of Python, the programming language widely used in the field of da.
- - Data Manipulation and Analysis Skills: Participants will acquire proficiency in handling data by exploring various data types (integers, floats, strings, boole.
- - Visualization Techniques with Matplotlib: Students will develop the ability to visually represent data using Matplotlib, a popular data visualization library.
- - Introduction to Machine Learning with Scikit-Learn: The course will introduce students to the fundamentals of machine learning using the Scikit-Learn library.
- - By the end of the course, students will have acquired a strong foundation in Python programming, data manipulation, visualization, and the basics of machine lea.
- Requirements
- - Basic Computer Literacy.
- - Critical Thinking and Problem-Solving Skills.
- - No Prior Programming Experience Required.
- Description
- Unlock the Power of Data with Python!
- Embark on a transformative journey into the dynamic world of data science with our Udemy course, "Learn Python for Data Science from Scratch." Whether you're a coding novice or looking to elevate your skills, this course is your gateway to mastering Python and unleashing its potential in data analysis and machine learning.
- What You'll Learn:
- - Python Foundations: Grasp the essentials with an in-depth introduction to Python and the Jupyter Notebook, culminating in a hands-on project to create a personalized calculator program.
- - Data Manipulation Mastery: Dive into data types, structures, and learn the art of sorting with a practical project, setting the stage for your journey into the heart of data science.
- - Visualization Wizardry: Harness the power of Matplotlib to craft captivating visualizations, creating line charts and bar charts from real-world datasets.
- - Machine Learning Magic: Explore Scikit-Learn to understand supervised and unsupervised learning, predict housing prices, customer behavior, and more. Elevate your skills with hands-on projects that bridge theory and application.
- - Projects: Conclude your learning adventure with 10 captivating projects. From data preparation and model training to evaluation and deployment, you'll showcase your newfound skills in a real-world scenario.
- Who Is This For?
- - Beginners eager to enter the exciting field of data science.
- - Professionals looking to transition into data-driven roles.
- - Students and graduates seeking practical skills for their careers.
- - Enthusiasts exploring Python's potential in data analysis and machine learning.
- Why Enroll?
- - Structured curriculum designed for seamless learning progression.
- - Real-world projects to reinforce theoretical concepts.
- - Engaging and interactive content for an immersive learning experience.
- - Join a supportive community of learners passionate about data science.
- Ready to embark on your data science journey? Enroll now and equip yourself with the tools to transform raw data into actionable insights!
- Who this course is for:
- - This course is designed for individuals who are interested in entering the field of data science and want to build a strong foundation in Python programming for data analysis and machine learning.
- MORE COURSES:
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- https://rg.to/folder/6531533/WEBSITE.html
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- https://rg.to/folder/6432280/PROGRAMMING.html
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- https://rg.to/folder/5704524/ENGLISH_COURSE.html
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