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Ming Zhao and Mohamed Sarwat
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...
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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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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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
Strengthen your statistical foundation for data analytics.
Browse courses on Statistics
Show steps
  • Review lecture notes
  • Practice solving problems
Review database management concepts
Refresh your understanding of data structures and query languages.
Browse courses on Database Management
Show steps
  • Review lecture notes
  • Practice writing queries
Organize your notes and course materials
Create a structured and accessible repository of your learning materials.
Show steps
  • Gather your materials
  • Create a filing system
  • Review and update regularly
Five other activities
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Show all eight activities
Attend industry webinars and conferences
Connect with professionals in the field and learn about industry trends.
Browse courses on Data Analytics
Show steps
  • Research upcoming events
  • Register and attend
  • Network with other attendees
Join a study group for data analytics
Collaborate with peers to discuss concepts, solve problems, and reinforce your knowledge.
Browse courses on Data Analytics
Show steps
  • Find a study group
  • Prepare for meetings
  • Participate actively
Practice data analytics case studies
Reinforce your understanding of data analytics concepts by solving real-world case studies.
Browse courses on Data Analytics
Show steps
  • Identify a relevant case study
  • Analyze the data
  • Develop a data analytics solution
  • Evaluate your results
Follow tutorials on data visualization techniques
Enhance your data visualization skills by following guided tutorials and practicing.
Browse courses on Data Visualization
Show steps
  • Find suitable tutorials
  • Follow the steps
  • Practice creating visualizations
Create a data analytics portfolio
Showcase your data analytics skills and projects in a professional portfolio.
Browse courses on Data Analytics
Show steps
  • 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.
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.
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.
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.
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.

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.
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.
This widely-used textbook introduces data mining concepts and techniques, including data preprocessing, feature selection, classification, clustering, and association rule mining. It valuable resource for students and professionals in data mining and related fields.
This classic textbook provides a clear and concise introduction to database management systems. It covers fundamental concepts and techniques, and is suitable for beginners and experienced practitioners alike.
This practical guide introduces Big Data analytics using Hadoop. It covers topics such as data storage, data processing, and data analysis using Hadoop and related tools. It is valuable for professionals seeking to gain hands-on experience in Big Data analytics.
This comprehensive textbook provides a complete overview of data warehousing concepts, technologies, and applications. It valuable resource for students and professionals involved in data warehousing and data analytics.
This practical guide provides a step-by-step introduction to SQL queries. It covers essential SQL concepts and techniques, and is suitable for beginners seeking to learn how to extract data from databases.
This beginner-friendly guide introduces SQL concepts and techniques. It covers essential SQL statements and queries, and is suitable for complete beginners seeking to learn the basics of SQL.
This concise guide provides an introduction to data pipelines. It covers essential concepts and tools for building reliable and scalable data infrastructure.
This comprehensive guide provides a thorough introduction to Hadoop. It covers essential Hadoop concepts, components, and tools, and is valuable for professionals seeking to gain a deep understanding of Hadoop and its ecosystem.
This practical guide provides an overview of data science for business. It covers essential data science concepts and techniques, and is valuable for business professionals seeking to understand the role of data science in decision-making.

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