Descriptions
Data Science Fundamentals Part 1: Learning Basic Concepts, Data Wrangling, and Databases with Python, Data Science Fundamentals Part 1 is a comprehensive introductory training program that teaches the core concepts, tools, and workflows required to begin a career in data science. The course focuses on developing a strong foundation in data science principles while introducing learners to practical techniques used for collecting, cleaning, transforming, and managing data. Students learn how data science projects are structured, how data is prepared for analysis, and how databases contribute to modern data-driven decision making. Throughout the course, learners work with Python to perform data wrangling tasks, manipulate datasets, and interact with databases. The training covers essential topics such as data preparation, data cleaning, database fundamentals, structured data management, and practical workflows that enable efficient analysis. By combining conceptual explanations with hands-on demonstrations, the course helps students understand not only how to work with data but also why each step is important in the overall data science process.
Designed for beginners and aspiring data professionals, this course serves as the first step toward more advanced topics in analytics, machine learning, and data engineering. By the end of the training, learners will understand the fundamental concepts of data science, be comfortable working with databases and Python-based data processing tools, and possess a solid foundation for progressing into professional data analysis and data science roles.
What you’ll learn
- Understand the fundamental concepts and workflow of data science.
- Learn the principles of data wrangling and data preparation.
- Use Python for data manipulation and preprocessing tasks.
- Clean and transform raw datasets for analytical purposes.
- Understand how databases are used in data science projects.
- Work with structured data and database systems using Python.
- Develop practical skills for organizing and managing datasets.
- Build a solid foundation for advanced data science and analytics topics.
Who this course is for
- Beginners interested in starting a career in data science.
- Students who want to learn the fundamentals of data analysis and data management.
- Python users interested in applying programming to data science.
- Professionals looking to transition into data-related roles.
- Anyone interested in learning data wrangling and database fundamentals.
Specificatoin of Data Science Fundamentals Part 1: Learning Basic Concepts, Data Wrangling, and Databases with Python
- Publisher : Oreilly
- Teacher : Jonathan Dinu
- Language : English
- Level : All Levels
- Duration : 20 hours and 54 minutes
Content of Data Science Fundamentals Part 1: Learning Basic Concepts, Data Wrangling, and Databases with Python
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Installation Guide
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Subtitle : English
Quality: 720p
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Password file(s): www.downloadly.ir
File size
6.22 GB