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Paweł Kordek

Quick and expressive data analysis requires good tools and knowledge of them. In this course, you'll explore the world of data science by learning core Pandas functionalities, including its IO capabilities, plotting methods, and DataFrames.

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Quick and expressive data analysis requires good tools and knowledge of them. In this course, you'll explore the world of data science by learning core Pandas functionalities, including its IO capabilities, plotting methods, and DataFrames.

As an individual working with data, from business analysts to data scientists, you desire a quick feedback loop that enables you to materialize and easily visualize your ideas. Time spent on developing and debugging programs or clicking around spreadsheets is often wasted. In this course, Pandas Fundamentals, you'll learn how to quickly read the data, perform desired analysis, and output it in a neat format along with pleasant plots. First, you'll explore data input and output. Next, you'll discover how to index and filter your data. Finally, you'll delve into how to work with groups, along with creating plots. After finishing this course, you'll have the necessary knowledge to manipulate data in basic forms, and be able to utilize your time more efficiently when figuring out how to transform your data to reach the desired effect. Software required: Anaconda Python.

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What's inside

Syllabus

Course Overview
Getting Started
Exploring Pandas Data Input Capabilities
Indexing and Filtering
Read more
Operations on Groups
Outputting Data
Plotting

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to the data analytics tool Pandas, providing a solid foundation for data-related roles
Emphasizes quick feedback loops, enabling learners to efficiently explore data and present findings
Covers core Pandas functionalities, offering a comprehensive understanding of data manipulation and visualization techniques

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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 Pandas Fundamentals with these activities:
Review Pandas Basics
By reviewing Pandas basics, you will refresh your understanding of the core concepts, making it easier to grasp advanced topics and apply them to your data analysis tasks.
Show steps
  • Go over the official Pandas documentation
  • Work through beginner-friendly tutorials
Consolidate Course Materials
Organizing and reviewing your course materials will help you synthesize and retain the knowledge gained, improving your overall understanding of Pandas and data analysis techniques.
Show steps
  • Gather lecture notes, readings, and assignments
  • Summarize key concepts and techniques
  • Create a cohesive study guide
Practice Pandas Operations
Repetitive practice through drills will reinforce your understanding of Pandas operations, enabling you to perform data analysis tasks more efficiently and accurately.
Browse courses on Data Analysis Techniques
Show steps
  • Find online coding challenges or exercises
  • Solve the challenges using Pandas operations
  • Review your solutions and identify areas for improvement
Show all three activities

Career center

Learners who complete Pandas Fundamentals will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help businesses make informed decisions. They use their knowledge of statistics and programming to identify trends and patterns in data. By identifying these trends, data analysts can help businesses understand their customers, improve their operations, and make better decisions. This course can help you develop the skills you need to become a successful Data Analyst. You will learn how to read and write data, perform data analysis, and create visualizations. These skills are essential for any Data Analyst, and they will give you a competitive edge in the job market.
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data. They work with businesses to help them solve problems and make better decisions. This course can help you develop the skills you need to become a successful Data Scientist. You will learn how to read and write data, perform data analysis, and create visualizations. These skills are essential for any Data Scientist, and they will give you a competitive edge in the job market.
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. They use their knowledge of mathematics, statistics, and computer science to create models that can learn from data and make predictions. This course can help you develop the skills you need to become a successful Machine Learning Engineer. You will learn how to read and write data, perform data analysis, and create visualizations. These skills are essential for any Machine Learning Engineer.
Business Analyst
Business Analysts use their knowledge of business and technology to help businesses improve their operations. They work with businesses to identify problems, develop solutions, and implement those solutions. This course can help you develop the skills you need to become a successful Business Analyst. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you understand business problems and develop solutions that will improve the bottom line.
Financial Analyst
Financial Analysts use their knowledge of finance and economics to help businesses make investment decisions. They work with businesses to analyze financial data, identify trends, and make recommendations. This course can help you develop the skills you need to become a successful Financial Analyst. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you understand financial data and develop recommendations that will improve the bottom line.
Market Researcher
Market Researchers use their knowledge of marketing and research to help businesses understand their customers. They work with businesses to identify target markets, develop marketing campaigns, and evaluate the effectiveness of those campaigns. This course can help you develop the skills you need to become a successful Market Researcher. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you understand customer behavior and develop marketing campaigns that will reach the right people.
Operations Research Analyst
Operations Research Analysts use their knowledge of mathematics and statistics to help businesses improve their operations. They work with businesses to identify problems, develop solutions, and implement those solutions. This course can help you develop the skills you need to become a successful Operations Research Analyst. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you understand business problems and develop solutions that will improve the bottom line.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with teams of engineers, designers, and marketers to bring new products to market. This course can help you develop the skills you need to become a successful Product Manager. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you understand customer needs and develop products that will meet those needs.
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics and statistics to develop and implement trading strategies. They work with investment banks and hedge funds to identify opportunities in the financial markets. This course can help you develop the skills you need to become a successful Quantitative Analyst. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you identify trading opportunities and develop strategies that will generate profits.
Risk Analyst
Risk Analysts use their knowledge of mathematics and statistics to assess and manage risk. They work with businesses to identify and mitigate risks that could impact the bottom line. This course can help you develop the skills you need to become a successful Risk Analyst. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you identify and mitigate risks that could impact the bottom line.
Software Engineer
Software Engineers design, build, and maintain software systems. They work with businesses to develop software that meets the needs of the business. This course may be useful for people who want to work as Software Engineers. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you develop software that is efficient and effective.
Statistician
Statisticians collect, analyze, interpret, and present data. They work with businesses to help them make informed decisions. This course may be useful for people who want to work as Statisticians. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you understand data and make informed decisions.
Data Engineer
Data Engineers design, build, and maintain data pipelines. They work with businesses to ensure that data is reliable, accurate, and accessible. This course may be useful for people who want to work as Data Engineers. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you develop data pipelines that are efficient and effective.
Database Administrator
Database Administrators are responsible for the design, implementation, and maintenance of databases. They work with businesses to ensure that data is secure, reliable, and available. This course may be useful for people who want to work as Database Administrators. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you design and maintain databases that are efficient and effective.
Technical Writer
Technical Writers create and maintain documentation for software and other technical products. They work with engineers and other technical staff to ensure that documentation is accurate, clear, and concise. This course may be useful for people who want to work as Technical Writers. You will learn how to read and write data, perform data analysis, and create visualizations. These skills can help you create documentation that is clear, concise, and easy to understand.

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 Pandas Fundamentals.
Provides a comprehensive overview of Python data science, including a chapter on Pandas. It valuable resource for anyone who wants to learn more about data science and how to use Python for data analysis.
Provides a comprehensive overview of data science, including a chapter on Pandas. It valuable resource for anyone who wants to learn more about data science and how to use Python for data analysis.
Provides a comprehensive overview of Python for data analysis, including a chapter on Pandas. It valuable resource for anyone who wants to learn more about data science and how to use Python for data analysis.
Provides a comprehensive overview of machine learning, including a chapter on Pandas. It valuable resource for anyone who wants to learn more about machine learning and how to use Python for data analysis.
Provides a comprehensive overview of data mining, including a chapter on Pandas. It valuable resource for anyone who wants to learn more about data mining and how to use Python for data analysis.
Provides a comprehensive overview of statistical learning, including a chapter on Pandas. It valuable resource for anyone who wants to learn more about statistical learning and how to use Python for data analysis.
Provides a comprehensive overview of Python data science, including a chapter on Pandas. It valuable resource for anyone who wants to learn more about data science and how to use Python for data analysis.
Provides a comprehensive overview of Pandas, covering data input and output, indexing and filtering, operations on groups, and plotting. It valuable resource for anyone who wants to learn more about Pandas and how to use it for data analysis.
Provides a comprehensive overview of Python for data science, including a chapter on Pandas. It valuable resource for anyone who wants to learn more about data science and how to use Python for data analysis.
Provides a comprehensive overview of data analysis with Python and Pandas. It valuable resource for anyone who wants to learn more about data analysis and how to use Python and Pandas for data analysis.
Provides a quick reference to Pandas. It valuable resource for anyone who wants to learn more about Pandas and how to use it for data analysis.
Provides a comprehensive overview of Python for data analysis, including a chapter on Pandas. It valuable resource for anyone who wants to learn more about data science and how to use Python for data analysis.
Provides a collection of recipes for solving common Pandas problems. It valuable resource for anyone who wants to learn more about Pandas and how to use it for data analysis.

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