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Data in Database

Big Data analytics tools are increasingly critical for providing meaningful information for making better business decisions. Big data technologies bring significant cost advantages when it comes to storing and managing large amounts of data. Understanding how to query a database to extract data will empower better analysis of large, complex datasets. Knowledge of Indexing mechanisms makes possible high-speed, selective retrieval of large amounts of information. Please note that enrollments for this course will close on January 31, 2021. If you are seeking certification, please be aware that you must pay the course fee by January 31, 2021.

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This course provides business professionals with the essential skills needed to make data-driven decisions

Develop foundational knowledge in data analytics tools and technologies

Learn from recognized experts in the field of big data analytics

Upon completion, learners will build a solid foundation in data analytics concepts and principles

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Reviews summary

Solid database course

This course is generally considered to be a well-crafted course. Students recommend it for those who want to learn about databases. Students report that the content is interesting and applicable to real-world use cases. Students also note that the assignments can be difficult and that there are inconsistencies and discrepancies between videos, lectures, and assignments.

This course has interesting content that is relevant to real-world jobs.

"Course content is interesting, ideal for starting studies on databases"

"Understanding how to query a database to extract data will empower better analysis of large, complex datasets."

Assignments may be too difficult or have unclear instructions.

"More practice exercises"

"However, I had a little work on adjusting the assigments, because some issues were not considered correct in the first shipments"

"There are several inconsistencies in several videos. The auto grader for assignment 1 is too sensitive to a specific solution and caused a waste of time."

"Great course. One start subtracted because many of the assignment materials were not covered at all in the course. Lots of time googling what might be meant in the exercises."

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 Data in Database with these activities:

Review statistics and probability concepts

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Strengthen your statistical foundation for data analytics.

Browse courses on Statistics

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Review lecture notes
Practice solving problems

Review database management concepts

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Refresh your understanding of data structures and query languages.

Browse courses on Database Management

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Review lecture notes
Practice writing queries

Organize your notes and course materials

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Create a structured and accessible repository of your learning materials.

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Gather your materials
Create a filing system
Review and update regularly

Five other activities

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Attend industry webinars and conferences

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Connect with professionals in the field and learn about industry trends.

Browse courses on Data Analytics

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Research upcoming events
Register and attend
Network with other attendees

Join a study group for data analytics

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Collaborate with peers to discuss concepts, solve problems, and reinforce your knowledge.

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Find a study group
Prepare for meetings
Participate actively

Practice data analytics case studies

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Reinforce your understanding of data analytics concepts by solving real-world case studies.

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Identify a relevant case study
Analyze the data
Develop a data analytics solution
Evaluate your results

Follow tutorials on data visualization techniques

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Enhance your data visualization skills by following guided tutorials and practicing.

Browse courses on Data Visualization

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Find suitable tutorials
Follow the steps
Practice creating visualizations

Create a data analytics portfolio

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Showcase your data analytics skills and projects in a professional portfolio.

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Gather your best work
Create a website or online portfolio
Upload your projects
Promote your portfolio

Career center

Learners who complete Data in Database will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their knowledge of data to solve business problems. A course in Data in Database would teach you how to query a database to extract data, which is an essential skill for Data Scientists. This course would also help you build a foundation in database technology, which would be helpful for understanding the data you are analyzing.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use their knowledge of data to find patterns and trends that can help businesses make better decisions. A course in Data in Database would teach you how to query a database to extract data, which is an essential skill for Data Analysts. This course would also help you build a foundation in database technology, which would be helpful for understanding the data you are analyzing.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers use their knowledge of data to design, implement, and maintain databases. A course in Data in Database would teach you the fundamentals of database technology, including how to query a database to extract data. This knowledge would be essential for success as a Data Engineer.

See salaries and explore the career path for Data Engineer

Business Intelligence Analyst

Business Intelligence Analysts use their knowledge of data to help businesses make better decisions. A course in Data in Database would teach you how to query a database to extract data, which is an essential skill for Business Intelligence Analysts. This course would also help you build a foundation in database technology, which would be helpful for understanding the data you are analyzing.

See salaries and explore the career path for Business Intelligence Analyst

Database Engineer

Database Engineers use their knowledge of database technology to design, implement, and maintain databases. A course in Data in Database would teach you the fundamentals of database technology, including how to query a database to extract data. This knowledge would be essential for success as a Database Engineer.

See salaries and explore the career path for Database Engineer

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 Data in Database.

Database Systems: The Complete Book

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This comprehensive textbook provides a thorough introduction to database systems, covering fundamental concepts, design principles, and implementation techniques. It is valuable for both beginners and experienced practitioners seeking a deeper understanding of database systems.

Data in Database

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Reviews summary

Solid database course

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