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Xavier Morera
In order to work with data in Python, you need to know how to get data into Python. In this course I will teach you how to import text files and tabular data into Python in three different ways: by reading text directly, using Numpy, and Pandas
Loading data is one of the most important skills you can have. Do you know which is one of the most powerful and widely used languages to work with data? If you guessed Python, you are right.
In this course, Importing Text Files in Python, you’ll gain the ability to load in the most efficient way text and tabular data.
Read more
In order to work with data in Python, you need to know how to get data into Python. In this course I will teach you how to import text files and tabular data into Python in three different ways: by reading text directly, using Numpy, and Pandas
Loading data is one of the most important skills you can have. Do you know which is one of the most powerful and widely used languages to work with data? If you guessed Python, you are right.
In this course, Importing Text Files in Python, you’ll gain the ability to load in the most efficient way text and tabular data.
Read more
In order to work with data in Python, you need to know how to get data into Python. In this course I will teach you how to import text files and tabular data into Python in three different ways: by reading text directly, using Numpy, and Pandas
Loading data is one of the most important skills you can have. Do you know which is one of the most powerful and widely used languages to work with data? If you guessed Python, you are right.
In this course, Importing Text Files in Python, you’ll gain the ability to load in the most efficient way text and tabular data.
First, you’ll explore how to import text and flat files.
Next, you’ll discover how to load numerical data using Numpy.
Finally, you’ll learn how to load and import tabular data using Pandas.
When you’re finished with this course, you’ll have the skills and knowledge of importing text and flat files needed to load numerical and tabular data in Python.
Register for this course and see more details by visiting:
OpenCourser.com/course/vgpx5j/importing
What's inside
Syllabus
Course Overview
Importing Text Files
Loading and Reading Flat Files
Import Text File with Numpy
Read more
Syllabus
Course Overview
Importing Text Files
Loading and Reading Flat Files
Import Text File with Numpy
Read more
Import Text File into Pandas
Final Takeaway
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides strong foundation for beginners in using Python to load different types of data
Comprehensive coverage of importing and loading textual and tabular data into Python
Instructors are recognized for their work in Python and data analysis
Save this course
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Importing Text Files in Python with these
activities:
Organize course materials
Show steps
Improve your organization and retention by compiling and reviewing course materials regularly.
Show steps
-
Gather all course materials.
-
Create a structured filing system.
-
Review materials periodically.
Review basic Python syntax
Show steps
Refresh your memory on fundamental Python syntax to strengthen your understanding of the concepts covered in the course.
Browse courses on
Python Basics
Show steps
-
Review online documentation or tutorials.
-
Practice writing simple Python code.
Explore NumPy and Pandas tutorials
Show steps
Enhance your understanding of NumPy and Pandas by following guided tutorials to explore their functionalities.
Browse courses on
NumPy
Show steps
-
Identify relevant tutorials.
-
Follow the tutorials step-by-step.
-
Experiment with different examples.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Analyze data using Python
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Practice analyzing data using Python to enhance your understanding of the techniques taught in the course.
Browse courses on
Data Analysis
Show steps
-
Load data into a Python environment.
-
Clean and preprocess the data.
-
Perform exploratory data analysis.
-
Generate insights and visualizations.
Attend a Python meetup
Show steps
Network with professionals in the Python community to expand your knowledge and stay updated on industry practices.
Show steps
-
Find a relevant meetup.
-
Attend the meetup and engage with attendees.
Build a data visualization dashboard
Show steps
Create a data visualization dashboard using Python to demonstrate your understanding of data analysis and visualization techniques.
Browse courses on
Data Visualization
Show steps
-
Gather and prepare the data.
-
Select appropriate visualization techniques.
-
Design and implement the dashboard.
-
Test and iterate on the dashboard.
Connect with a Python mentor
Show steps
Seek guidance from experienced Python professionals to enhance your learning and career growth.
Show steps
-
Identify potential mentors.
-
Reach out and introduce yourself.
-
Set up regular meetings or discussions.
Organize course materials
Show steps
Improve your organization and retention by compiling and reviewing course materials regularly.
Show steps
Show steps
Show steps
- Gather all course materials.
- Create a structured filing system.
- Review materials periodically.
Review basic Python syntax
Show steps
Refresh your memory on fundamental Python syntax to strengthen your understanding of the concepts covered in the course.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Review online documentation or tutorials.
- Practice writing simple Python code.
Explore NumPy and Pandas tutorials
Show steps
Enhance your understanding of NumPy and Pandas by following guided tutorials to explore their functionalities.
Browse courses on
NumPy
Show steps
Show steps
Show steps
- Identify relevant tutorials.
- Follow the tutorials step-by-step.
- Experiment with different examples.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Analyze data using Python
Show steps
Practice analyzing data using Python to enhance your understanding of the techniques taught in the course.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Load data into a Python environment.
- Clean and preprocess the data.
- Perform exploratory data analysis.
- Generate insights and visualizations.
Attend a Python meetup
Show steps
Network with professionals in the Python community to expand your knowledge and stay updated on industry practices.
Show steps
Show steps
Show steps
- Find a relevant meetup.
- Attend the meetup and engage with attendees.
Build a data visualization dashboard
Show steps
Create a data visualization dashboard using Python to demonstrate your understanding of data analysis and visualization techniques.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather and prepare the data.
- Select appropriate visualization techniques.
- Design and implement the dashboard.
- Test and iterate on the dashboard.
Connect with a Python mentor
Show steps
Seek guidance from experienced Python professionals to enhance your learning and career growth.
Show steps
Show steps
Show steps
- Identify potential mentors.
- Reach out and introduce yourself.
- Set up regular meetings or discussions.
Career center
Learners who complete Importing Text Files in Python will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists may use Python to import text files and other data into Python. They often work on teams with Data Analysts to conduct complex data analysis and other data modeling. This course, Importing Text Files in Python, may be useful to a Data Scientist for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers often use Python to import text and tabular data into Python as part of their work building and maintaining machine learning models. This course, Importing Text Files in Python, may be useful to a Machine Learning Engineer for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Business Analyst
Business Analyst
Business Analysts use Python to import and analyze a wide variety of data, including text and tabular data. This course, Importing Text Files in Python, may be useful to a Business Analyst for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use Python to import and analyze a wide variety of data, including text and tabular data. This course, Importing Text Files in Python, may be useful to an Operations Research Analyst for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Statistician
Statistician
Statisticians use Python to import and analyze a wide variety of data, including text and tabular data. This course, Importing Text Files in Python, may be useful to a Statistician for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Software Engineer
Software Engineer
Software Engineers use Python to import and analyze data as part of their development work. This course, Importing Text Files in Python, may be useful to a Software Engineer for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Data Analyst
Data Analyst
Data Analysts may use Python to import text files and other data into Python. They often work on teams with Data Scientists to conduct complex data analysis and other data modeling. This course, Importing Text Files in Python, may be useful to a Data Analyst for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Financial Analyst
Financial Analyst
Financial Analysts use Python to import and analyze a wide variety of data, including text and tabular data. This course, Importing Text Files in Python, may be useful to a Financial Analyst for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Data Engineer
Data Engineer
Data Engineers often use Python to import text and tabular data into Python, as part of their work setting up and maintain data pipelines and infrastructure. This course, Importing Text Files in Python, may be useful to a Data Engineer for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use Python to import and analyze a wide variety of data, including text and tabular data. This course, Importing Text Files in Python, may be useful to a Quantitative Analyst for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Biostatistician
Biostatistician
Biostatisticians use Python to import and analyze a wide variety of data, including text and tabular data. This course, Importing Text Files in Python, may be useful to a Biostatistician for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Market Research Analyst
Market Research Analyst
Market Research Analysts use Python to import and analyze a wide variety of data, including text and tabular data. This course, Importing Text Files in Python, may be useful to a Market Research Analyst for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Research Analyst
Research Analyst
Research Analysts use Python to import and analyze a wide variety of data, including text and tabular data. This course, Importing Text Files in Python, may be useful to a Research Analyst for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts use Python to import and analyze a wide variety of data, including text and tabular data. This course, Importing Text Files in Python, may be useful to a Data Visualization Analyst for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
Data Management Analyst
Data Management Analyst
Data Management Analysts use Python to import and analyze a wide variety of data, including text and tabular data. This course, Importing Text Files in Python, may be useful to a Data Management Analyst for learning how to efficiently load text and tabular data into Python, which can help them succeed in their work.
For more career information including salaries, visit:
OpenCourser.com/course/vgpx5j/importing
Reading list
We've selected ten 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 Text Files in Python.
Provides a comprehensive overview of data science using Python. It covers topics such as data cleaning, data analysis, and machine learning.
Provides a practical guide to data analysis using Pandas. It covers topics such as data manipulation, data visualization, and statistical analysis.
Provides a hands-on introduction to data science using Python. It covers topics such as data cleaning, data analysis, and machine learning.
Provides a comprehensive overview of machine learning using Python. It covers topics such as supervised learning, unsupervised learning, and deep learning.
Provides a practical guide to deep learning using Python. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive overview of data analysis using Python. It covers topics such as data cleaning, data manipulation, and data visualization.
Save
Provides a practical guide to using NumPy for data science. It covers topics such as data creation, data manipulation, and data analysis.
Provides a practical guide to using Pandas for data science. It covers topics such as data manipulation, data analysis, and data visualization.
Provides a comprehensive overview of machine learning using R. It covers topics such as supervised learning, unsupervised learning, and deep learning.
Provides a practical guide to deep learning using R. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/vgpx5j/importing
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Time
66 hours
Level
Introductory
Via
Pluralsight
Instructor
Xavier Morera
Language
English
Good to know
Provides strong foundation for beginners in using Python to load different types of data
Comprehensive coverage of importing and loading textual and tabular data into Python
Instructors are recognized for their work in Python and data analysis
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