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Saheli Basu
Basic calculations with Python in Kaggle :
Python is the most widely used data science programming language. It is a cross-platform programming language, which means that it can run on multiple platforms like Windows, macOS, Linux. This general-purpose and...
Read more
Basic calculations with Python in Kaggle :
Python is the most widely used data science programming language. It is a cross-platform programming language, which means that it can run on multiple platforms like Windows, macOS, Linux. This general-purpose and...
Read more
Basic calculations with Python in Kaggle :
Python is the most widely used data science programming language. It is a cross-platform programming language, which means that it can run on multiple platforms like Windows, macOS, Linux. This general-purpose and dynamic language is inherently object-oriented.
In this project, we will explore the basics and learn to perform mathematical calculations in Kaggle.
Kaggle is the world's largest data science community with powerful tools and resources that helps in achieving the manifold data science goals.
By the end of this project, you will learn basic python syntax, variable assignment and numbers,
define simple functions and perform simple mathematical calculations.
This Guided Project was created by a Coursera community member.
Register for this course and see more details by visiting:
OpenCourser.com/course/apcwyt/basic
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Serves as a beginner guide for learning basic python syntax, variable assignment, numbers, defining functions, and performing simple mathematical calculations in Kaggle
Offers a hands-on approach to learning python through mathematical calculations on Kaggle
Provides access to the world's largest data science community and powerful tools for data analysis
Designed for those interested in working with data science, Python programming, or mathematical calculations
Appropriate for learners who want to build a foundation or enhance their skills in Python for data science
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Reviews summary
Good introduction to python basics
This course is a great starting point for anyone looking to learn the basics of Python programming and calculations in Kaggle. The instructor's method is unique and engaging, and the course covers all of the essential topics in a clear and concise manner. By the end of the course, you will have a solid foundation in Python syntax, variable assignment, numbers, simple functions, and mathematical calculations. Whether you are a complete beginner or just want to brush up on your skills, this course is definitely worth checking out.
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 Basic calculations with Python in Kaggle with these
activities:
Read 'Python for Data Analysis'
Show steps
This book covers the fundamentals of python for data analysis, including mathematical operations.
View
Python for Data Analysis
on Amazon
Show steps
-
Purchase or borrow the book
-
Read the chapters on mathematical operations
Watch videos on mathematical operations in python
Show steps
This will help you understand the syntax and usage of basic mathematical operators.
Show steps
-
Search for python math tutorials on youtube
-
Start watching and taking notes
Attend a local meetup on python for data science
Show steps
This will help you connect with other learners and professionals in the field who can help you with your learning journey.
Show steps
-
Search for meetups in your area
-
Attend a meetup
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve leetcode problems tagged 'math'
Show steps
This will help you build proficiency with using python's math capabilities.
Show steps
-
Sign up for a Leetcode account
-
Filter problems by 'math' tag
-
Start practicing
Form a study group with other students in the course
Show steps
This will help you learn from and collaborate with your peers.
Show steps
-
Reach out to other students in the course
-
Set up a regular meeting time
Solve Kaggle kernels with math functions
Show steps
This will help you apply your knowledge of python's math capabilities to real-world problems.
Show steps
-
Sign up for a Kaggle account
-
Search for kernels using 'math' tag
-
Start practicing
Volunteer as a tutor for high school math students
Show steps
This will help you solidify your understanding by teaching these concepts to others.
Show steps
-
Contact local schools or tutoring centers
-
Inquire about volunteering opportunities
Write a blog post on 'Arithmetic operators in python'
Show steps
This will help you solidifty your understanding by explaining these concepts to a broader audience.
Show steps
-
Choose a blogging platform
-
Create a new post
-
Research and write the content
-
Publish the post
Read 'Python for Data Analysis'
Show steps
This book covers the fundamentals of python for data analysis, including mathematical operations.
View
Python for Data Analysis
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book
- Read the chapters on mathematical operations
Watch videos on mathematical operations in python
Show steps
This will help you understand the syntax and usage of basic mathematical operators.
Show steps
Show steps
Show steps
- Search for python math tutorials on youtube
- Start watching and taking notes
Attend a local meetup on python for data science
Show steps
This will help you connect with other learners and professionals in the field who can help you with your learning journey.
Show steps
Show steps
Show steps
- Search for meetups in your area
- Attend a meetup
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve leetcode problems tagged 'math'
Show steps
This will help you build proficiency with using python's math capabilities.
Show steps
Show steps
Show steps
- Sign up for a Leetcode account
- Filter problems by 'math' tag
- Start practicing
Form a study group with other students in the course
Show steps
This will help you learn from and collaborate with your peers.
Show steps
Show steps
Show steps
- Reach out to other students in the course
- Set up a regular meeting time
Solve Kaggle kernels with math functions
Show steps
This will help you apply your knowledge of python's math capabilities to real-world problems.
Show steps
Show steps
Show steps
- Sign up for a Kaggle account
- Search for kernels using 'math' tag
- Start practicing
Volunteer as a tutor for high school math students
Show steps
This will help you solidify your understanding by teaching these concepts to others.
Show steps
Show steps
Show steps
- Contact local schools or tutoring centers
- Inquire about volunteering opportunities
Write a blog post on 'Arithmetic operators in python'
Show steps
This will help you solidifty your understanding by explaining these concepts to a broader audience.
Show steps
Show steps
Show steps
- Choose a blogging platform
- Create a new post
- Research and write the content
- Publish the post
Career center
Learners who complete Basic calculations with Python in Kaggle will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their knowledge of programming languages such as Python and their understanding of mathematical calculations to build models and make predictions from data. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use their knowledge of programming languages such as Python and their understanding of mathematical calculations to design, develop, and deploy machine learning models. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Machine Learning Engineer.
Data Analyst
Data Analyst
Data Analysts use their knowledge of programming languages such as Python and their understanding of mathematical calculations to clean, analyze, and interpret large sets of data. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Data Analyst.
Financial Analyst
Financial Analyst
Financial Analysts use their knowledge of programming languages such as Python and their understanding of mathematical calculations to analyze financial data and make investment recommendations. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Financial Analyst.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their knowledge of programming languages such as Python and their understanding of mathematical calculations to analyze and solve business problems. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as an Operations Research Analyst.
Risk Analyst
Risk Analyst
Risk Analysts use their knowledge of programming languages such as Python and their understanding of mathematical calculations to assess and manage risk. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Risk Analyst.
Data Engineer
Data Engineer
Data Engineers use their knowledge of programming languages such as Python and their understanding of mathematical calculations to build and maintain data pipelines. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Data Engineer.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their knowledge of programming languages such as Python and their understanding of mathematical calculations to develop and implement trading strategies. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Quantitative Analyst.
Actuary
Actuary
Actuaries use their knowledge of programming languages such as Python and their understanding of mathematical calculations to assess and manage risk. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as an Actuary.
Market Researcher
Market Researcher
Market Researchers use their knowledge of programming languages such as Python and their understanding of mathematical calculations to collect and analyze data about consumers and markets. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Market Researcher.
Business Analyst
Business Analyst
Business Analysts use their knowledge of programming languages such as Python and their understanding of mathematical calculations to analyze business data and make recommendations. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Business Analyst.
Economist
Economist
Economists use their knowledge of programming languages such as Python and their understanding of mathematical calculations to analyze economic data and make predictions. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as an Economist.
Software Engineer
Software Engineer
Software Engineers use their knowledge of programming languages such as Python and their understanding of mathematical calculations to design, develop, and test software applications. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Software Engineer.
Statistician
Statistician
Statisticians use their knowledge of programming languages such as Python and their understanding of mathematical calculations to collect, analyze, and interpret data. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Statistician.
Data Journalist
Data Journalist
Data Journalists use their knowledge of programming languages such as Python and their understanding of mathematical calculations to analyze and visualize data to tell stories. This course can help individuals develop the necessary skills to perform these tasks and prepare for a career as a Data Journalist.
For more career information including salaries, visit:
OpenCourser.com/course/apcwyt/basic
Reading list
We've selected 13 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
Basic calculations with Python in Kaggle.
Provides a comprehensive introduction to data science using Python. It covers a wide range of topics, including data cleaning, data analysis, machine learning, and data visualization.
Provides a practical introduction to machine learning using Python. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Provides a comprehensive introduction to data analysis using Python. It covers a wide range of topics, including data cleaning, data manipulation, and data visualization.
Save
Provides a comprehensive introduction to deep learning. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive introduction to machine learning using Python. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Provides a comprehensive introduction to computer vision using Python. It covers a wide range of topics, including image classification, object detection, and image segmentation.
Provides a comprehensive introduction to machine learning using R. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Provides a comprehensive introduction to deep learning using Python. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive introduction to natural language processing using Python. It covers a wide range of topics, including text classification, text clustering, and sentiment analysis.
Provides a comprehensive introduction to Python for finance professionals. It covers a wide range of topics, including financial data analysis, financial modeling, and portfolio optimization.
Provides a practical introduction to machine learning using Python. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Provides a practical introduction to data science for business professionals. It covers a wide range of topics, including data cleaning, data analysis, and machine learning.
Provides a gentle introduction to data science using Python. It covers a wide range of topics, including data cleaning, data analysis, and machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/apcwyt/basic
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Time
2 hours
Via
Coursera
Institution
Coursera Community Project Network
Instructor
Saheli Basu
Good to know
Serves as a beginner guide for learning basic python syntax, variable assignment, numbers, defining functions, and performing simple mathematical calculations in Kaggle
Offers a hands-on approach to learning python through mathematical calculations on Kaggle
Provides access to the world's largest data science community and powerful tools for data analysis
Designed for those interested in working with data science, Python programming, or mathematical calculations
Appropriate for learners who want to build a foundation or enhance their skills in Python for data science
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