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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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Python Data Management Data Visualization MySQL PostgreSQL MongoDB Excel

Traffic lights

Read about what's good
what should give you pause
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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Reviews summary

Practical python for data management & reporting

According to learners, this course is a highly relevant and practical guide for applying Python to data management and reporting. Students consistently highlight the clear explanations and engaging instruction, especially praising the hands-on exercises and effective use of Jupyter Notebooks. Many found it provided immediate, actionable solutions, particularly for Excel automation and database interactions (MySQL, PostgreSQL), significantly boosting their productivity and efficiency. However, a few reviewers note that the course assumes some prior Python knowledge and may not be ideal for absolute beginners, especially concerning NoSQL databases like MongoDB. While comprehensive, some felt certain areas, such as data visualization, could benefit from more depth or coverage of advanced reporting techniques.
Strong foundation, but some areas could use more advanced coverage.
"My only minor critique is that some parts felt a bit rushed, especially the data visualization. Could use more depth there."
"I wished there was a bit more on advanced reporting techniques or integrating with other BI tools."
"I would suggest adding more advanced topics or a 'next steps' module for those who want to dive deeper into performance optimization or larger datasets."
"While comprehensive, I think more time on optimization techniques would be beneficial."
Instructor provides clear explanations with effective hands-on labs.
"The instructor's teaching style is engaging and made complex topics easy to grasp."
"I loved the step-by-step approach to using Python for database interactions. Jupyter Notebooks were well-utilized."
"The instructor breaks down complex concepts into manageable chunks. The Jupyter labs were crucial for learning by doing."
"The instructor's explanations are clear and to the point."
Provides immediately applicable skills for real-world data tasks.
"This course was exactly what I needed to bridge the gap between my basic Python knowledge and practical data management."
"The content is highly relevant for anyone working with data. My reporting workflows are now so much more efficient."
"This course exceeded my expectations. It provided immediate, actionable solutions. A true game-changer for my productivity."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
Not suitable for absolute beginners in Python or databases.
"I found some of the explanations for MongoDB to be a bit confusing if you're completely new to NoSQL."
"Decent course, but requires a certain level of prior Python knowledge. As a beginner, I found myself pausing frequently."
"The database sections assumed too much prior knowledge for me, and I felt lost. Not for complete beginners in databases or Python."
"I felt it was definitely more geared towards those with some prior database experience or willingness to self-study."

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 Using Python for Data Management and Reporting with these activities:
Connect with experienced data analysts
Provides students with access to industry experts who can offer guidance, support, and insights into the field of data analysis.
Show steps
  • Attend industry events and meetups
  • Reach out to professionals on LinkedIn or other networking platforms
Review Python basics
Reinforces foundational Python knowledge to prepare for the course's exploration of data manipulation and analysis.
Browse courses on Python
Show steps
  • Review core Python concepts such as variables, data types, and control flow
  • Practice writing simple Python programs to manipulate and print data
Complete Jupyter Notebook tutorial
Provides hands-on experience with Jupyter Notebooks, enabling students to confidently navigate and utilize them for data analysis.
Browse courses on Jupyter Notebooks
Show steps
  • Follow a guided tutorial on setting up and using Jupyter Notebooks
  • Practice creating and running code cells within Jupyter Notebooks
  • Explore data visualization techniques using Jupyter Notebooks
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve MySQL query challenges
Strengthens students' understanding of MySQL syntax and query optimization techniques, enhancing their ability to access and manipulate data.
Browse courses on MySQL
Show steps
  • Attempt practice problems involving data retrieval, aggregation, and filtering
  • Analyze and optimize MySQL queries to improve performance
Participate in data analysis discussion group
Fosters collaboration and knowledge sharing among students, allowing them to discuss and clarify data analysis concepts and approaches.
Browse courses on Data Analysis
Show steps
  • Join a study group or online forum focused on data analysis
  • Actively engage in discussions, asking and answering questions
  • Share insights and perspectives with peers
Develop a data visualization dashboard
Provides an opportunity for students to apply their data analysis skills by creating interactive and informative visualizations that showcase insights from the data.
Browse courses on Data Visualization
Show steps
  • Select a dataset and identify key metrics to visualize
  • Design and implement a dashboard using visualization tools
  • Present and interpret the results to convey data-driven insights
Build a data analysis web application
Encourages students to synthesize their data analysis and programming skills by creating a functional web application that leverages data for decision-making.
Browse courses on Web Development
Show steps
  • Plan and design the architecture of the web application
  • Develop the front-end and back-end components
  • Integrate data analysis functionality into the application
  • Deploy and test the web application

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.
See salaries and explore the career path for Data Analyst
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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
See salaries and explore the career path for 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.
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Information Dashboard Design
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Information Dashboard Design: Displaying Data for...
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Information Dashboard Design: The Effective Visual...
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Daphne Draws Data
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Practical guide to storytelling with data, helping you to communicate your findings in a clear and engaging way.
Daphne Draws Data: A Storytelling with Data...
Hardcover
$$
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Strategic Decision Making in Modern Manufacturing
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Provides a comprehensive introduction to artificial intelligence for business professionals.
Strategic Decision Making in Modern Manufacturing
Paperback
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Strategic Decision Making in Modern Manufacturing
Kindle Edition
$$$
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Python Data Science Handbook
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Practical guide to data visualization with Python and Jupyter Notebooks, which are essential for presenting data in a clear and concise way.
Python Data Science Handbook: Essential Tools for...
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Python Data Science Handbook: Essential Tools for...
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Python pour la Data Science - Les meilleures outils...
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Python Data Science Handbook
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Data Science for Business
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Provides a comprehensive introduction to data science for business professionals.
Data Science for Business: What You Need to Know...
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Data Science for Business: What You Need to Know...
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TinyML
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Provides a comprehensive introduction to machine learning for business professionals.
TinyML: Machine Learning with TensorFlow Lite on...
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O'Reilly.TinyML. Wykorzystanie TensorFlow Lite do...
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TinyML: Machine Learning with TensorFlow Lite on...
Kindle Edition
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Python for Data Analysis
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Practical guide to data manipulation using Pandas, a popular Python library for data analysis and manipulation.
Python for Data Analysis
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Python for Data Analysis
Kindle Edition
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MySQL Administrator's Guide and Language Reference
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Comprehensive guide to MySQL, one of the most popular open-source relational database management systems.
MySQL Administrator's Guide and Language Reference...
Paperback
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PostgreSQL 9.0 Official Documentation - Volume I....
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Comprehensive guide to PostgreSQL, another popular open-source relational database management system.
PostgreSQL 9.0 Official Documentation - Volume I....
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PostgreSQL 9.0 Official Documentation - Volume I....
Kindle Edition
Check
Cover image
Learning Snowflake SQL and Scripting
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Beginner-friendly guide to SQL, the industry-standard language for working with relational databases.
Learning Snowflake SQL and Scripting: Generate,...
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Learning Snowflake SQL and Scripting
Kindle Edition
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Excel VBA Programming For Dummies
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Comprehensive guide to Excel functions and formulas, which are essential for data analysis and reporting.
Excel VBA Programming For Dummies 5th Edition (For...
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Bayesian Nonparametric Data Analysis
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Provides a beginner-friendly introduction to reporting.
Bayesian Nonparametric Data Analysis (Springer...
Hardcover
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Bayesian Nonparametric Data Analysis (Springer...
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AACN Essentials of Critical Care Nursing, Fifth...
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Provides a beginner-friendly introduction to data management.
AACN Essentials of Critical Care Nursing, Fifth...
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Python Data Science Handbook
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While it's not about reporting, it provides a better foundation for manipulating data in Python.
Python Data Science Handbook: Essential Tools for...
Paperback
$$$

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Course image
Time
285 hours
Level
Advanced
Via
Pluralsight
Instructor
A Cloud Guru
Language
English
Traffic lights
Read about what's good
what should give you pause
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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