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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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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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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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Connect with experienced data analysts
Show steps
Provides students with access to industry experts who can offer guidance, support, and insights into the field of data analysis.
Show steps
Show steps
Show steps
- Attend industry events and meetups
- Reach out to professionals on LinkedIn or other networking platforms
Review Python basics
Show steps
Reinforces foundational Python knowledge to prepare for the course's exploration of data manipulation and analysis.
Browse courses on
Python
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
Strengthens students' understanding of MySQL syntax and query optimization techniques, enhancing their ability to access and manipulate data.
Browse courses on
MySQL
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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 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 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 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 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 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
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 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 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
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 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 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 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 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
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
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.
For more career information including salaries, visit:
OpenCourser.com/course/9gju3y/using
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.
Classic guide to data visualization, covering the principles of effective visual communication.
Save
Practical guide to storytelling with data, helping you to communicate your findings in a clear and engaging way.
Provides a comprehensive introduction to artificial intelligence for business professionals.
Practical guide to data visualization with Python and Jupyter Notebooks, which are essential for presenting data in a clear and concise way.
Provides a comprehensive introduction to data science for business professionals.
Save
Provides a comprehensive introduction to machine learning for business professionals.
Practical guide to data manipulation using Pandas, a popular Python library for data analysis and manipulation.
Comprehensive guide to MySQL, one of the most popular open-source relational database management systems.
Comprehensive guide to PostgreSQL, another popular open-source relational database management system.
Beginner-friendly guide to SQL, the industry-standard language for working with relational databases.
Comprehensive guide to Excel functions and formulas, which are essential for data analysis and reporting.
Provides a beginner-friendly introduction to reporting.
Provides a beginner-friendly introduction to data management.
While it's not about reporting, it provides a better foundation for manipulating data in Python.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9gju3y/using
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Time
285 hours
Level
Advanced
Via
Pluralsight
Instructor
A Cloud Guru
Language
English
Good to know
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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