Udemy – Data Science Mastery: Complete Data Science Bootcamp 2025 2025-1
Udemy – Data Science Mastery: Complete Data Science Bootcamp 2025 2025-1
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Data Science Mastery: Complete Data Science Bootcamp 2025. is a comprehensive program that will take you from beginner to proficient data scientist. This course will provide you with the skills you need to succeed in today’s data-driven industries. The course starts with the basics of data collection and preprocessing. You will learn how to collect raw data from various sources, clean and prepare it for analysis, and discover hidden patterns using exploratory data analysis (EDA). You will delve deeply into feature engineering, where you will transform raw data into meaningful variables that power predictive models. Data visualization techniques using tools like Matplotlib and Seaborn will help you communicate your findings effectively.
By the end of this course, you will have created an impressive portfolio of projects that demonstrate your ability to solve real-world data problems and provide actionable insights. Whether your goal is to become a data scientist, machine learning engineer, or artificial intelligence specialist, this course will equip you with the knowledge, tools, and confidence to succeed in the ever-evolving field of data science.
What you will learn in the Data Science Mastery: Complete Data Science Bootcamp 2025 course
- Understand Data Science Workflow: Master the complete data science lifecycle, from data collection to model deployment.
- Data Collection Techniques: Learn to collect data from APIs, databases, and web scraping.
- Data Preprocessing: Cleaning and preprocessing raw data for analysis and modeling.
- Exploratory Data Analysis (EDA): Discovering patterns and trends in data sets using data visualization tools.
- Feature Engineering: Creating and optimizing features to improve model performance.
- Machine Learning Models: Build regression, classification, and clustering models using scikit-learn.
- Deep Learning Techniques: Training Neural Networks with TensorFlow and PyTorch.
- Model Deployment: Delivering AI models using Flask, FastAPI, and Docker.
- Big Data Handling: Working with large data sets using tools like Hadoop and Spark.
- Ethical AI Practices: Understanding data privacy, bias reduction, and AI governance.
This course is suitable for people who:
- Aspiring Data Scientists: People who want to enter the world of data science but don’t know where to start.
- Students and Graduates: Students and graduates from various academic backgrounds looking to add data science to their skill set.
- Professionals Seeking a Career Switch: Working professionals who are looking to make a career change into data-driven roles such as data analyst, machine learning engineer, or artificial intelligence specialist.
- Tech Enthusiasts: Curious individuals who are eager to understand how data can drive decisions and power intelligent systems.
- Business Professionals: Decision makers and managers looking to use data insights to improve strategy and operations.
- Freelancers and Entrepreneurs: People who plan to build data-driven solutions or AI-based products.
Data Science Mastery: Complete Data Science Bootcamp 2025 Course Details
- Publisher: Udemy
- Instructor: Vivian Aranha
- Training level: Beginner to advanced
- Training duration: 48 hours and 35 minutes
- Number of lessons: 243
Course headings
Prerequisites for the Data Science Mastery: Complete Data Science Bootcamp 2025 course
- Basic Computer Skills: Familiarity with using computers, installing software, and navigating file systems.
- Fundamental Programming Knowledge (Optional): Basic understanding of programming concepts like variables, loops, and functions (Python preferred).
- Mathematics Fundamentals: High-school-level understanding of algebra, statistics, and basic probability.
- Logical Thinking: Ability to approach problems methodically and think critically.
- A Stable Computer Setup: A computer with at least 8GB RAM (16GB recommended), 50GB free storage, and the ability to install Python and relevant libraries.
- Curiosity and Passion for Learning: An eagerness to learn, experiment, and explore the exciting world of Data Science.
- Time Commitment: Willingness to dedicate 10-15 hours per week to lessons, exercises, and projects.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 1080p
Changes:
Version 2025/1 compared to 2024/1 has increased by 37 hours and 9 minutes in duration. English subtitles were also added to the course.
Download link
File(s) password: www.downloadly.ir
File size
24.3 GB
