Students are introduced to different scripting language tools such as SQL, NOSQL, Apache, Java and Python that support data analysis on large volumes of data. They also analyze the strengths and limitations of current tools used today. Students review and recommend which tools best support data analysis, data quality, problem solving, analysis, analytics and business decision-making for different functions and industries.

Textbooks

There is no required textbook for this course.

Please note: There may be required software or other resources for this course. Please be sure to check the course outline when you first log in to the course.

Host Course Code: AL-DAT1030
Host Course Name: Data Analysis Tools for Analytics

Start Date

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