Data Science Full Free Course by Simplilearn

Data Science Full Free Course provides the ultimate roadmap with tools, statistics, AI vs ML vs DL, and LLMs to master data science quickly.

This Data Science Full Free Course by Simplilearn is your complete learning companion, structured to take you from beginner to advanced with clear, detailed modules. Whether you’re aspiring to be a data analyst, machine learning engineer, or AI expert, this course offers the foundational and modern tools you need to master the field.

Topics Covered in the Data Science Full Course:

Introduction to Data Science Free Course
The course begins with an overview of what you can expect to learn, how it’s structured, and the importance of data science in today’s digital economy.

What is Data Science?
Learn what defines data science, its applications across industries, and how data-driven decisions are shaping the future.

Roadmap to Data Science
Get a practical, step-by-step roadmap on how to become a successful data scientist. This includes key skills, tools, and technologies to master, such as Python, SQL, statistics, and machine learning frameworks.

Probability and Statistics
Understand core statistical methods and probability concepts, which are vital for any data science task, including hypothesis testing and distributions.

Difference Between AI, ML, and DL
Explore the differences between Artificial Intelligence, Machine Learning, and Deep Learning — demystifying how each concept fits into the data science spectrum.

Data Science Basics
Reinforce your understanding of the fundamentals: from data preprocessing, data wrangling, and cleaning, to data visualization and model evaluation.

Insert LVC (Live Virtual Class)
A 3-hour segment of interactive live class content that helps solidify real-time problem-solving and collaborative learning.

Descriptive vs. Inferential vs. Frequency vs. Kurtosis Statistics
Compare and contrast major statistical methods:
Descriptive statistics summarize data
Inferential statistics make predictions
Frequency statistics explain data distribution
Kurtosis statistics measure tail behavior and sharpness

Introduction to LLM (Large Language Models)
An up-to-date section on LLMs such as GPT, BERT, and their relevance to the future of AI-powered data science and automation.

AI Bias
Understand the critical ethical issue of AI bias, how it occurs, its real-world impacts, and how data scientists can mitigate it using fair algorithms and datasets.

Why This Data Science Full Free Course is Ideal for You?

Perfect for beginners and intermediate learners
Covers modern AI tools and ethics
Includes live sessions and real-world applications
Aligned with top job roles in tech

Whether you’re preparing for a job interview, looking to upskill, or transitioning careers, this Data Science Full Free Course equips you with everything to thrive in data science, AI, and machine learning domains.

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