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Xavier Morera
Python is one of the most powerful and widely used languages to work with data. In this course, Importing Data: Python Data Playbook, you will learn foundational knowledge and gain the ability to import data from multiple different file formats, including: text, tabular data, binary formats as well as from databases. First, you will learn how to import text and CSV files. Next, you will discover how to import data from JSON, XML, SAS, Stata, HDF5, Matlab, Pickle files, and more. Finally, you will explore how to import relational data from databases, including: SQLite, MySQL, and PostgreSQL. When you're finished with this course,...
Read more
Python is one of the most powerful and widely used languages to work with data. In this course, Importing Data: Python Data Playbook, you will learn foundational knowledge and gain the ability to import data from multiple different file formats, including: text, tabular data, binary formats as well as from databases. First, you will learn how to import text and CSV files. Next, you will discover how to import data from JSON, XML, SAS, Stata, HDF5, Matlab, Pickle files, and more. Finally, you will explore how to import relational data from databases, including: SQLite, MySQL, and PostgreSQL. When you're finished with this course,...
Read more
Python is one of the most powerful and widely used languages to work with data. In this course, Importing Data: Python Data Playbook, you will learn foundational knowledge and gain the ability to import data from multiple different file formats, including: text, tabular data, binary formats as well as from databases. First, you will learn how to import text and CSV files. Next, you will discover how to import data from JSON, XML, SAS, Stata, HDF5, Matlab, Pickle files, and more. Finally, you will explore how to import relational data from databases, including: SQLite, MySQL, and PostgreSQL. When you're finished with this course, you will have the skills and knowledge of importing data into Python needed to analyze, visualize, and in general work with data.
Register for this course and see more details by visiting:
OpenCourser.com/course/n6kqss/importing
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers a wide range of file formats, including text, tabular data, binary formats, and relational data from databases
Relevant to data analysts, data scientists, and anyone working with data in Python
Taught by Xavier Morera, founder and CEO of DataCamp
Requires basic knowledge of Python and data analysis concepts
Focuses on importing data into Python for analysis and visualization
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Importing Data: Python Data Playbook.
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Career center
Learners who complete Importing Data: Python Data Playbook will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course will help you build a strong foundation in database administration by teaching you how to import data from a variety of sources, including text files, spreadsheets, and other databases.
Data Engineer
Data Engineer
Data Engineers are responsible for designing and building data pipelines to move data from one system to another. This course will help you build a strong foundation in data engineering by teaching you how to import data from a variety of sources, including text files, databases, and spreadsheets.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models to solve business problems. This course will help you build a strong foundation in machine learning by teaching you how to import data from a variety of sources, including text files, databases, and spreadsheets.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, programming, and machine learning to solve business problems. This course will help you build a strong foundation in data science by teaching you how to import data from a variety of sources, including text files, databases, and spreadsheets.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course will help you build a strong foundation in data analysis by teaching you how to import data from a variety of sources, including text files, databases, and spreadsheets.
Product Manager
Product Manager
Product Managers use data to develop and launch new products. This course will help you build a strong foundation in product management by teaching you how to import data from a variety of sources, including text files, spreadsheets, and databases.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior and trends. This course will help you build a strong foundation in market research by teaching you how to import data from a variety of sources, including text files, spreadsheets, and databases.
Business Analyst
Business Analyst
Business Analysts use data to understand business problems and develop solutions. This course will help you build a strong foundation in business analysis by teaching you how to import data from a variety of sources, including text files, spreadsheets, and databases.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of business operations. This course will help you build a strong foundation in operations research by teaching you how to import data from a variety of sources, including text files, spreadsheets, and databases.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. This course will help you build a strong foundation in financial analysis by teaching you how to import data from a variety of sources, including text files, spreadsheets, and databases.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and manage risks. This course will help you build a strong foundation in risk analysis by teaching you how to import data from a variety of sources, including text files, spreadsheets, and databases.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to model and predict financial markets. This course will help you build a strong foundation in quantitative analysis by teaching you how to import data from a variety of sources, including text files, spreadsheets, and databases.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help people understand it. This course will help you build a strong foundation in data visualization by teaching you how to import data from a variety of sources, including text files, databases, and spreadsheets.
Software Engineer
Software Engineer
Software Engineers design and build software applications. This course will help you build a strong foundation in software engineering by teaching you how to import data from a variety of sources, including text files, databases, and spreadsheets.
Web Developer
Web Developer
Web Developers design and build websites. This course will help you build a strong foundation in web development by teaching you how to import data from a variety of sources, including text files, databases, and spreadsheets.
For more career information including salaries, visit:
OpenCourser.com/course/n6kqss/importing
Reading list
We've selected two books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Importing Data: Python Data Playbook.
This comprehensive handbook provides a solid foundation in data science using Python. It covers essential topics like data wrangling, data analysis, machine learning, and data visualization. valuable resource for both beginners and experienced practitioners.
This practical guide focuses specifically on data manipulation using Pandas, a popular Python library for data analysis. It provides a step-by-step approach to data cleaning, transformation, and exploratory analysis, making it a valuable reference for anyone working with tabular data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/n6kqss/importing
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Time
1 hours
Via
Pluralsight
Instructor
Xavier Morera
This course belongs to a
collection
called
Python for Data Analysts. It's comprised of 11 courses:
- Building Your First Python Analytics Solution
- Create and Share Analytics with Jupyter Notebooks
- Python for Data Analysts
- Programming Python Using an IDE
- Leveraging Online Resources for Python Analytics
- Importing Data: Python Data Playbook (viewing)
- Cleaning Data: Python Data Playbook
- Pygal 2: Python Data Playbook
- Understanding Databases with SQLAlchemy 1: Python Data Playbook
- Web Scraping: Python Data Playbook
- Data Wrangling with Python 3
Good to know
Covers a wide range of file formats, including text, tabular data, binary formats, and relational data from databases
Relevant to data analysts, data scientists, and anyone working with data in Python
Taught by Xavier Morera, founder and CEO of DataCamp
Requires basic knowledge of Python and data analysis concepts
Focuses on importing data into Python for analysis and visualization
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