Data Science & AI with Python: Real-World Skills for Success

Unlock the full potential of data science and artificial intelligence with “Mastering Data Science & AI with Python”—a comprehensive, beginner-to-advanced course designed to transform you into a job-ready data scientist and AI developer. Whether you’re just starting your coding journey or looking to upskill and build real-world AI-powered applications, this course covers everything you need in one complete package.

We begin with the fundamentals of Python, ensuring you’re well-equipped with programming basics and critical libraries like NumPy and Pandas. You’ll quickly progress to manipulating and analyzing data efficiently, including accessing, cleaning, and filtering DataFrames. Learn how to visualize your insights with powerful charts and graphs that bring your data to life. From there, you’ll dive deep into statistics for data science, the cornerstone for understanding machine learning. You’ll master core statistical concepts essential for model development and evaluation.

Hands-on practice is the heart of this course. You’ll complete 9 end-to-end projects that simulate real industry scenarios: automate business workflows with Pandas, analyze large datasets with Google Apps, build a movie recommendation engine, and develop predictive models using advanced techniques. By the end of this course, you will code in Python confidently, analyze and model data effectively, and develop and deploy AI apps using local LLMs and tools like Ollama and Streamlit. This course is ideal for aspiring data scientists, developers, and AI enthusiasts eager to build practical, high-impact solutions.

What you will learn:

• Learn to code in Python and apply core libraries like NumPy and Pandas for data manipulation and analysis.
• Master essential statistics and data visualization techniques to extract actionable insights from data.
• Understand and implement key machine learning algorithms including regression, classification, clustering, and dimensionality reduction.

Course Content:

• Sections: 29
• Lectures: 176
• Duration: 21h 51m

Requirements:

• No prior programming or data science experience is required.
• A basic understanding of high school math is helpful, but all concepts are taught from scratch with hands-on examples.

Who is it for?

• This course is ideal for aspiring data scientists, developers.
• AI enthusiasts who want to gain hands-on experience building real-world projects.
• It’s also perfect for beginners looking to break into tech, professionals seeking to expand into AI.
• Students eager to learn Python, data science, and local LLM development from the ground up.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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