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Exploratory Data Analysis with Complex Data Sets in Python

In this course, master Exploratory Data Analysis (EDA) using Python. Dive deep into complex data sets, extract insights, and elevate your data science proficiency.

Data scientists often deal with complex, multidimensional datasets that can be overwhelming even for experienced professionals. In this course, Exploratory Data Analysis with Complex Data Sets in Python, you’ll gain the ability to uncover patterns, relationships, and insights from intricate datasets. First, you’ll explore the foundational principles of Exploratory Data Analysis (EDA) and its significance in data science. Next, you’ll discover effective techniques and strategies tailored for EDA in Python, ensuring you can easily navigate even the most complicated data sets. Finally, you’ll learn how to craft precise research questions to guide your analytical explorations, setting the stage for robust and actionable insights. When you’re finished with this course, you’ll have the skills and knowledge of advanced EDA techniques needed to elevate your data science projects and deliver impactful results.

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What's inside

Syllabus

Course Overview

Understanding the Essence of EDA

Tools and Techniques in Python for EDA

Diving Deep with Hands-on EDA

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops understanding of data science concepts, which are a standard in current industry practice

Teaches advanced techniques for EDA, which helps learners conduct more robust data science analyses

Instructed by Mohamed Echout, who is recognized for their contributions to the field of data science

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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 Exploratory Data Analysis with Complex Data Sets in Python with these activities:

Read 'Hands-On Data Analysis with Pandas'

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Expand knowledge of EDA techniques and Pandas library.

View Hands-On Data Analysis with Pandas - Second... on Amazon

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Read selected chapters of the book
Complete exercises and examples in the book

Review Python for Data Science

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Reinforce knowledge of Python syntax and libraries used in data analysis.

Browse courses on Python

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Identify tutorials on Python for data science
Complete tutorials on Python for data science
Practice coding exercises

Create a Course Notebook

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Establish a single place to organize and store all course-related materials.

Browse courses on EDA

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Compile course materials
Create a Table of Contents
Create sections or tabs for each module or topic

Five other activities

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Join a Study Group

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Collaborate with peers to enhance understanding and retention of course materials.

Browse courses on EDA

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Find or create a study group
Meet regularly to discuss course topics
Work together on assignments and projects

Practice EDA Techniques with Jupyter Notebooks

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Gain hands-on experience with EDA techniques and Jupyter Notebooks.

Browse courses on EDA

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Install Jupyter Notebooks
Create a new Jupyter Notebook
Import data into Jupyter Notebook
Apply EDA techniques using Python
Visualize data using Matplotlib or Seaborn

Attend an EDA Workshop

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Gain exposure to advanced EDA techniques and industry best practices.

Browse courses on EDA

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Research and identify relevant EDA workshops
Register for and attend the workshop
Actively participate in the workshop activities

Mentor a Junior Data Analyst

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Reinforce learning through teaching and provide guidance to others.

Browse courses on EDA

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Find a mentee who is interested in learning about EDA
Establish regular meeting times and goals
Share knowledge and provide constructive feedback

Contribute to an Open-Source EDA Library

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Gain practical experience in EDA and contribute to the community.

Browse courses on EDA

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Find an open-source EDA library to contribute to
Identify an issue or feature to work on
Fork the repository and make changes
Submit a pull request

Career center

Learners who complete Exploratory Data Analysis with Complex Data Sets in Python will develop knowledge and skills that may be useful to these careers:

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze and forecast financial data. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to succeed in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform investment decisions and drive business growth. This course can help you build a strong foundation for a career as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use mathematical and statistical models to assess and manage financial risks. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to succeed in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform risk management decisions and protect businesses from potential losses. This course can help you build a strong foundation for a career as an Actuary.

See salaries and explore the career path for Actuary

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to excel in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform decision-making and improve business outcomes. This course is a great way to build a foundation for a career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Statistician

Statisticians collect, analyze, and interpret data to provide insights and make predictions. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to succeed in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform decision-making and drive business growth. This course can help you build a strong foundation for a career as a Statistician.

See salaries and explore the career path for Statistician

Data Architect

Data Architects design and build data systems to meet the needs of an organization. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to be successful in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform the design and development of data systems. This course is a valuable resource for anyone looking to start or advance their career as a Data Architect.

See salaries and explore the career path for Data Architect

Financial Analyst

Financial Analysts analyze financial data to make investment recommendations and provide insights to businesses. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to be successful in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform investment decisions and drive business growth. This course is a valuable resource for anyone looking to start or advance their career as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts identify, assess, and manage risks to businesses. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to be successful in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform risk management decisions and protect businesses from potential losses. This course is a valuable resource for anyone looking to start or advance their career as a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Data Engineer

Data Engineers design and build data pipelines to ensure that data is available and accessible for analysis. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to be successful in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform the design and development of data pipelines. This course is a valuable resource for anyone looking to start or advance their career as a Data Engineer.

See salaries and explore the career path for Data Engineer

Chief Data Officer

Chief Data Officers are responsible for the overall data strategy and governance within an organization. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to be successful in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform decision-making and drive business growth. This course is a valuable resource for anyone looking to start or advance their career as a Chief Data Officer.

See salaries and explore the career path for Chief Data Officer

Data Science Manager

Data Science Managers lead teams of data scientists and oversee data science projects. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to be successful in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform decision-making and drive business growth. This course is a valuable resource for anyone looking to start or advance their career as a Data Science Manager.

See salaries and explore the career path for Data Science Manager

Research Analyst

Research Analysts conduct research and analyze data to provide insights and make recommendations. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to excel in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform decision-making and drive business growth. This course is a valuable resource for anyone looking to start or advance their career as a Research Analyst.

See salaries and explore the career path for Research Analyst

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models to solve business problems. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to be successful in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform the development of machine learning models. This course is a great way to build a foundation for a career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts use data to identify and solve business problems. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to be successful in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can help businesses make better decisions and improve their performance. This course is a valuable resource for anyone looking to start or advance their career as a Business Analyst.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve business problems and improve efficiency. This course in Exploratory Data Analysis with Complex Data Sets in Python can help you develop the skills needed to succeed in this role. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform decision-making and drive business growth. This course is a valuable resource for anyone looking to start or advance their career as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Data Scientist

Data Scientists uncover meaningful patterns and trends within data to help businesses make better decisions. This course in Exploratory Data Analysis with Complex Data Sets in Python may be useful in providing you with the skills needed to succeed in this field. By learning how to effectively analyze and interpret complex datasets, you can gain valuable insights that can inform decision-making and drive business growth. This is a course that may help you begin your path to becoming a Data Scientist, or advance your career if you are already in this field.

See salaries and explore the career path for Data Scientist

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 Exploratory Data Analysis with Complex Data Sets in Python.

Data Science for Business

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Provides a comprehensive overview of data science, with a focus on business applications. It covers the entire data science process, from data collection and cleaning to model building and deployment. The book valuable resource for anyone who wants to learn how to use data science to solve business problems.

Exploratory Data Analysis with Complex Data Sets in Python

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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