Beginner's Data Science Course in 11 Hours: Hands-On Python Tutorial 📊

Kickstart your data science journey with our comprehensive 11-hour Python course. Learn practical skills and build real-world projects. Enroll now: https://bit.ly/Hands-onDataSciencewithPython

Great Learning1.0M views11:09:27

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Unlock your data science journey with our hands-on Python course: https://bit.ly/Hands-onDataSciencewithPython

Course Introduction / Overview
Dive into "Hands-On Data Science: Build Real Projects with Python" and develop in-demand skills for today’s data-driven world. This course takes a practical approach, guiding you through Python essentials, data analysis, visualization, and machine learning using leading libraries like Pandas, NumPy, and Matplotlib. Designed for both beginners and those looking to sharpen their abilities, you’ll work through real-world projects and master techniques that turn raw data into actionable insights. Whether you’re aiming to launch a career or add value to your current role, this course will help you unlock the full power of data science.

How Data Science Works / Importance
Data Science is the art of turning data into actionable knowledge. By merging programming, statistics, and deep domain understanding, data scientists uncover insights hiding in massive data sets. These insights help industries like healthcare, finance, tech, and marketing to improve processes, forecast trends, and drive big innovations. Mastering data science means you can help businesses make smarter decisions and shape the future.

What You’ll Learn
By completing this pro course, you’ll be able to:

Understand what Data Science is and why it’s transforming industries
Get hands-on with crucial Python libraries: Pandas, NumPy, Matplotlib
Clean, analyze, and visualize complex datasets
Build predictive machine learning models
Apply statistical analysis to draw powerful conclusions
Work on industry-inspired projects to reinforce your skills
Gain tips and real-world examples to launch your own Data Science journey
Topics Covered / Agenda
🏁 Course Agenda:

[00:00:00] Introduction
[00:02:15] Statistics vs Machine Learning
[00:08:55] Types of Statistics
[01:50:35] Types of Data
[02:45:50] Correlation
[02:52:23] Covariance
[04:24:36] Basics of Python
[04:43:58] Python Data Structures
[04:55:58] Flow Control Statements in Python
[05:32:48] NumPy
[05:51:30] Pandas
[06:14:28] Matplotlib
[06:38:14] Linear Regression
[09:54:34] Logistic Regression

Further Learning / Programs
Continue your learning journey with more detailed and advanced programs:

Free Data Science Course (Free): https://bit.ly/GLA-IntroductiontoDataScience
Free Python for Data Science Course (Free): https://bit.ly/GLAPythonforDataScience
Python for Data Science and Machine Learning Course (Paid): https://bit.ly/master-data-science-machine-learning
Statistics for Data Science & Analytics Course (Paid): https://bit.ly/StatisticsCourseforDataScienceandAnalytics
Data Science with Python (Paid): https://bit.ly/Hands-onDataSciencewithPython

Why Watch This Video / Learn This
If you’re interested in how data shapes the modern world, this video is your first step! Our beginner-friendly lessons break down all the essentials—from basic concepts to hands-on projects—so you can immediately start applying new skills. Don’t just watch: follow along, experiment with the code, and launch your own projects. Subscribe for more tutorials and insights that keep you at the cutting edge of Data Science and technology!

Perfect For / Target Audience
You’ll benefit from this course if you are:

Data Scientist
Analyst
Software Developer
Machine Learning Engineer
Business Intelligence Specialist
Aspiring Data Enthusiast
Social Media / Follow For Updates
Stay connected for the latest updates, tips, and course releases:
✅ Telegram: https://bit.ly/Gl-Telegram
✅ Facebook: https://bit.ly/Gl-FB
✅ LinkedIn: https://bit.ly/GL-linkedin
✅ Blog: https://glacad.me/GL_Blog
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Duration
11:09:27

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Published
Feb 3, 2020

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