Django with Data Science

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Python Data Science Handbook: Essential Tools for...

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

This course emphasizes user interface design for data science, catering to individuals with no programming experience

The focus on Pandas, Numpy, Matplotlib, and Seaborn empowers learners to create custom analytics tools for non-programmers

This unique course introduces concepts gradually, enabling students to build a strong foundation in data analytics

The use of the Semantic UI framework ensures the creation of professional and visually appealing user interfaces

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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 Django with Data Science with these activities:

Read 'Data Science for Business'

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Gain a comprehensive understanding of the role of data science in business decision-making and strategy.

View Data Science for Business: What You Need to... on Amazon

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Purchase or borrow the book
Read the book, taking notes and highlighting important concepts

Review Linear Algebra and Statistics Concepts

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Ensure a strong foundation in linear algebra and statistics, which are essential for understanding data science models and algorithms.

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Review notes or textbooks on linear algebra and statistics
Complete practice problems and exercises

Learn the Basics of Data Science and AI

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Start the course with a solid base in data science, AI, and machine learning to enhance your learning experience.

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Enroll in an online course or tutorial on Data Science and AI
Complete all the modules and assignments

Eight other activities

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Solve Coding Challenges and Practice Data Analysis

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Sharpen your programming and data analysis skills through regular practice, improving your confidence and problem-solving abilities.

Browse courses on Skill Development

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Sign up for a coding challenge platform or use online data analysis tools
Solve coding challenges and practice data analysis tasks on a regular basis

Follow Online Tutorials

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Following well-structured tutorials will provide you with step-by-step guidance on implementing various concepts and techniques covered in the course.

Browse courses on Django

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Identify tutorials that cover specific topics or skills you want to improve.
Follow the tutorials carefully, taking notes and experimenting with the code.
Apply what you've learned to your own projects.

Solve Practice Problems

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Solving practice problems on these topics will strengthen your understanding of the core concepts and help you apply them effectively in your projects.

Browse courses on Pandas

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Identify relevant practice problems from online resources or textbooks.
Break down the problem into smaller steps.
Implement the solution using the appropriate libraries and techniques.
Test and debug your code.
Review and analyze your solutions to identify areas for improvement.

Join a Data Science Study Group

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Connect with peers, share knowledge, and collaborate on projects to enhance your learning and understanding.

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Join a study group or create one with friends or classmates
Meet regularly to discuss course material, work on projects, and support each other

Create a Presentation or Infographic on Data Science Concepts

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Deepen your understanding of data science concepts by creating visual aids that explain and illustrate them for yourself or others.

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Choose a data science concept to focus on
Gather information and research the concept thoroughly
Create a presentation or infographic that visually explains the concept

Build a Data Visualization Tool

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Creating a data visualization tool will allow you to apply your knowledge of libraries like Matplotlib and Seaborn to create visually appealing and informative representations of data.

Browse courses on Data Visualization

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Define the purpose and scope of your visualization tool.
Gather and prepare your data.
Choose appropriate visualization techniques and libraries.
Create a user interface for interacting with the tool.
Deploy and share your tool.

Contribute to Open-Source Data Science Projects

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Gain practical experience and contribute to the data science community by participating in open-source projects and collaborating with others.

Browse courses on Community Involvement

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Identify open-source data science projects that align with your interests
Join the project community and contribute to code, documentation, or testing

Mentor Junior Data Scientists or Students

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Consolidate your knowledge by sharing it with others, reinforcing your understanding and contributing to the growth of the data science community.

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Volunteer as a mentor at a local coding bootcamp or university
Provide guidance and support to junior data scientists or students

Career center

Learners who complete Django with Data Science will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts apply mathematical and statistical techniques to analyze data and interpret results in order to help businesses understand trends and make better decisions. This course in Django with Data Science will be extremely useful for someone seeking this career, as it will help build a foundation understanding of data science, including how to analyze data, interpret results and create meaningful visualizations. These are all important skills that an aspiring Data Analyst will need to be successful in their role.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use programming, statistics, and machine learning techniques to extract insights from data. This course in Django with Data Science may be useful to someone looking to pursue this career path, as it will provide a foundation for understanding data science concepts and applications. Additionally, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and test software applications. This course in Django with Data Science may be useful to someone seeking a career in this field, as it will provide a foundation for understanding software development and data analysis. In particular, the course's focus on using Python and Django can be beneficial for building web applications that integrate data analysis and visualization.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers create and maintain websites and web applications. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding web development and data science. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Web Developer

Business Analyst

Business Analysts analyze data and business processes to identify problems and opportunities. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data analysis and business processes. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians collect, analyze, interpret, and present data to help businesses and organizations make informed decisions. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data analysis and statistics. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Statistician

Financial Analyst

Financial Analysts analyze financial data to help businesses make investment decisions. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data analysis and financial markets. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Financial Analyst

Data Engineer

Data Engineers build and maintain the infrastructure and systems that store and process data. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data engineering and data science. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Data Engineer

Market Researcher

Market Researchers gather and analyze data to understand customer needs and market trends. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data analysis and market research. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Market Researcher

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models to solve business problems. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data science and machine learning. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze financial data and make investment decisions. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data analysis and financial markets. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries analyze risk and uncertainty to help businesses and individuals make informed decisions. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data analysis and risk management. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Actuary

Data Visualization Specialist

Data Visualization Specialists create visual representations of data to help businesses and individuals understand trends and make better decisions. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data science and data visualization. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Data Visualization Specialist

Business Intelligence Analyst

Business Intelligence Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data analysis and business intelligence. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Business Intelligence Analyst

Data Journalist

Data Journalists use data to tell stories and report on news events. This course in Django with Data Science may be useful to someone seeking this career path, as it will provide a foundation for understanding data science and journalism. In particular, the course's focus on using Python and Django can be beneficial for building web applications that incorporate data analysis and visualization.

See salaries and explore the career path for Data Journalist

Reading list

We've selected 12 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 Django with Data Science.

Python Data Science Handbook

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Provides a comprehensive introduction to Python data science, covering topics from basic data manipulation to advanced machine learning techniques. It valuable resource for both beginners and experienced data scientists.

(Español) Machine Learning con PyTorch y Scikit-Learn:...

Machine Learning Con Pytorch Y Scikit Lean

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Provides a comprehensive introduction to machine learning with Python. It covers the basics of machine learning, as well as advanced topics such as deep learning and reinforcement learning. It valuable resource for both beginners and experienced data scientists.

Hands-On Machine Learning with Scikit-Learn, Keras,...

Hands-On Machine Learning with Scikit-Learn, Keras,...

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Provides a practical introduction to machine learning with Python, using popular libraries such as Scikit-Learn, Keras, and TensorFlow. It great choice for beginners and intermediate learners looking to build their skills in machine learning.

Hands-On Machine Learning with Scikit-Learn, Keras,...

Hands-On Machine Learning with Scikit-Learn, Keras,...

Deep Learning with Python, Second Edition

Deep Learning with Python, Second Edition

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Provides a comprehensive introduction to deep learning with Python. It covers the basics of deep learning, as well as advanced topics such as convolutional neural networks and recurrent neural networks. It valuable resource for both beginners and experienced deep learning practitioners.

Deep Learning with Python, Second Edition

Deep Learning

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Provides a comprehensive introduction to deep learning. It covers the basics of deep learning, as well as advanced topics such as convolutional neural networks and recurrent neural networks. It valuable resource for both beginners and experienced deep learning practitioners.

Deep Learning

Deep Learning (Adaptive Computation and Machine...

Deep Learning (Adaptive Computation and Machine...

Natural Language Processing with Python: Analyzing...

Natural Language Processing with Python

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Provides a comprehensive introduction to natural language processing with Python. It covers the basics of natural language processing, as well as advanced topics such as machine translation and text classification. It valuable resource for both beginners and experienced natural language processing practitioners.

Natural Language Processing with Python: Analyzing...

Data Science from Scratch: First Principles with...

Data Science from Scratch

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Provides a practical introduction to data science from the ground up. It covers topics from data collection and cleaning to data visualization and modeling. It great choice for beginners looking to get started with data science.

Data Science from Scratch: First Principles with...

Data Science from Scratch: First Principles with...

The Elements of Statistical Learning: Data Mining,...

The Elements of Statistical Learning

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Provides a comprehensive introduction to statistical learning. It covers the basics of statistical learning, as well as advanced topics such as support vector machines and random forests. It valuable resource for both beginners and experienced data scientists.

The Elements of Statistical Learning: Data Mining,...

The Elements of Statistical Learning: Data Mining,...

Natural Language Processing with Python: Analyzing...

Natural Language Processing with Python

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Provides a comprehensive introduction to speech recognition with Python. It covers the basics of speech recognition, as well as advanced topics such as automatic speech recognition and speaker recognition. It valuable resource for both beginners and experienced speech recognition practitioners.

(中文) Python Natural Language Processing(Chinese Edition)

Natural Language Processing with Python: Analyzing...

Reinforcement Learning, second edition: An...

Reinforcement Learning, second edition

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Provides a comprehensive introduction to reinforcement learning with Python. It covers the basics of reinforcement learning, as well as advanced topics such as value iteration and policy iteration. It valuable resource for both beginners and experienced reinforcement learning practitioners.

Reinforcement Learning, second edition: An...

An Introduction to Statistical Learning

An Introduction to Statistical Learning

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Provides a gentle introduction to statistical learning. It covers the basics of statistical learning, as well as advanced topics such as Bayesian methods and ensemble methods. It great choice for beginners looking to get started with statistical learning.

An Introduction to Statistical Learning

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Data Science for Business: What You Need to Know...

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Data Science for Business

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Provides a practical introduction to data science for business professionals. It covers topics from data collection and cleaning to data visualization and modeling. It great choice for beginners looking to get started with data science in a business context.

Data Science for Business: What You Need to Know...