Business intelligence (BI) is a branch of data analytics that supports the process of converting raw data into actionable business and operational insight for improved decision-making and enhanced organizational efficiencies. The field encompasses techniques such as query generation, data mining, data modeling and analysis, creation of dashboards and visualization charts, and production of analytics reports.
Our course introduces participants to the field of Business Intelligence (BI), with emphasis on descriptive analytics. The program employs applied training techniques with participants forming data analytics teams to solve business problems and identify solutions, practically applying learned concepts to real-world cases. Key areas of BI covered include: data collection, data preprocessing, data storage, data queries, basic data mining, descriptive data analytics, data visualization, and results presentation. Program participants will also receive training in the use of products such as Excel, SQL, and Tableau to collect, extract, mine, analyze, visualize and present business data.
Upon successful completion of the program, participants will be able to: apply learning to real-world business projects; employ data analytics to gain insight about business operations, problem solving and solutions for corporate and organizational issues; and make evidence-based, tactical and strategic decisions toward organizational viability and competitiveness.
Our entry-level Business Intelligence course will help prepare you for a successful career in Data Analytics; more experienced/advanced data professionals may prefer our Big Data program.
Prerequisite: degree or equivalent practical experience in any business, accounting, banking and finance, mortgage lending, insurance, science, engineering or IT is recommended
|Course Length: 56 hours, classroom (7 Saturdays)
Next Course Begins: Sat, July 15, 2017 – August 26, 2017 / 8:30 a.m. – 5:30 p.m.
|Upcoming Information Sessions|
|If you missed our recent information session or cannot attend, please contact Hamid Arjmand at firstname.lastname@example.org or 404-727-5513.|