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Using Python for Data Management and Reporting

A Cloud Guru

Data abounds in our world. It is collected in various forms, various ways, and various qualities. It is collected for a multitude of purposes, including collecting for some undefined future use. Being able to access that data and make some sense of it is an important skill for now and the future. Python is an excellent resource for exploring data and making it usable for a variety of purposes. Using Python and Jupyter Notebooks, we will look at accessing data in some common databases, such as MySQL, PostgreSQL, and MongoDB. We will explore Excel operations, such as writing and reading to Excel. We will also explore simple report formatting and data visualization.

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches how to extract data from MySQL, PostgreSQL, and MongoDB, which is standard in industry
Uses Python, a popular and versatile language, to explore data
Covers a wide range of data manipulation and analysis techniques
Taught by A Cloud Guru, a reputable provider of cloud-related training
Requires basic knowledge of Python and SQL
May not cover the latest versions of all software

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Career center

Learners who complete Using Python for Data Management and Reporting will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data analysts are responsible for compiling, cleaning, and interpreting data to provide insights to businesses. This course can help someone looking to become a data analyst as it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are important skills for a data analyst as they will need to be able to access and work with data from a variety of sources.
Data Scientist
Data scientists use data to solve business problems. They develop and implement data-driven solutions to improve decision-making. This course can help someone looking to become a data scientist as it covers the basics of data management, reporting, and visualization. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. It also covers simple report formatting and data visualization. These are all important skills for a data scientist.
Business Intelligence Analyst
Business intelligence analysts provide businesses with insights into their data. They use data to identify trends, opportunities, and threats. This course can help someone looking to become a business intelligence analyst because it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are all important skills for a business intelligence analyst.
Database Administrator
Database administrators are responsible for managing and maintaining databases. They ensure that databases are running smoothly and that data is secure. This course can help someone looking to become a database administrator as it covers the basics of data management. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB. These are all important skills for a database administrator.
Data Engineer
Data engineers are responsible for building and maintaining data pipelines. They ensure that data is clean, consistent, and reliable. This course can help someone looking to become a data engineer as it covers the basics of data management. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB. These are all important skills for a data engineer.
Statistician
Statisticians use data to solve problems and make inferences. They develop and implement statistical models to improve decision-making. This course can help someone looking to become a statistician as it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are all important skills for a statistician.
Market Researcher
Market researchers collect and analyze data about markets and customers. They use this data to develop marketing strategies and campaigns. This course can help someone looking to become a market researcher as it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are all important skills for a market researcher.
Financial Analyst
Financial analysts use data to make investment decisions. They develop and implement financial models to improve investment performance. This course can help someone looking to become a financial analyst as it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are all important skills for a financial analyst.
Actuary
Actuaries use data to assess risk and uncertainty. They develop and implement actuarial models to improve decision-making. This course can help someone looking to become an actuary as it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are all important skills for an actuary.
Software Engineer
Software engineers design, develop, and maintain software applications. They use data to improve the performance and reliability of software applications. This course may help someone looking to become a software engineer as it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are all important skills for a software engineer.
Web Developer
Web developers design and develop websites. They use data to improve the performance and reliability of websites. This course may help someone looking to become a web developer as it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are all important skills for a web developer.
Data Entry Clerk
Data entry clerks enter data into computer systems. They ensure that data is accurate and complete. This course may help someone looking to become a data entry clerk as it covers the basics of data management. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB. These are all important skills for a data entry clerk.
Customer Service Representative
Customer service representatives provide support to customers. They use data to resolve customer issues and improve customer satisfaction. This course may help someone looking to become a customer service representative as it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are all important skills for a customer service representative.
Salesperson
Salespeople sell products and services to customers. They use data to identify potential customers and close deals. This course may help someone looking to become a salesperson as it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are all important skills for a salesperson.
Teacher
Teachers educate students. They use data to track student progress and improve teaching methods. This course may help someone looking to become a teacher as it covers the basics of data management and reporting. The course covers how to access data in common databases such as MySQL, PostgreSQL, and MongoDB and how to explore Excel operations. These are all important skills for a teacher.

Reading list

We've selected 14 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 Using Python for Data Management and Reporting.
Practical guide to storytelling with data, helping you to communicate your findings in a clear and engaging way.
Practical guide to data manipulation using Pandas, a popular Python library for data analysis and manipulation.
Comprehensive guide to Excel functions and formulas, which are essential for data analysis and reporting.
While it's not about reporting, it provides a better foundation for manipulating data in Python.

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